Next Article in Journal
Precise Dissolution Control and Bioavailability Evaluation for Insoluble Drug Berberine via a Polymeric Particle Prepared Using Supercritical CO2
Next Article in Special Issue
Polyhydroxyalkanoate (PHA) Polymer Accumulation and pha Gene Expression in Phenazine (phz-) and Pyrrolnitrin (prn-) Defective Mutants of Pseudomonas chlororaphis PA23
Previous Article in Journal
Carbon Nanotube-Based Organic Thermoelectric Materials for Energy Harvesting
Previous Article in Special Issue
Highly Selective Enzymatic Recovery of Building Blocks from Wool-Cotton-Polyester Textile Waste Blends
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Bioreactor Operating Strategies for Improved Polyhydroxyalkanoate (PHA) Productivity

Department of Biosystems Engineering, University of Manitoba, Winnipeg, MB R3T 5V6, Canada
*
Author to whom correspondence should be addressed.
Polymers 2018, 10(11), 1197; https://doi.org/10.3390/polym10111197
Submission received: 26 September 2018 / Revised: 22 October 2018 / Accepted: 23 October 2018 / Published: 26 October 2018
(This article belongs to the Special Issue Recent Advances in Bioplastics)

Abstract

:
Microbial polyhydroxyalkanoates (PHAs) are promising biodegradable polymers that may alleviate some of the environmental burden of petroleum-derived polymers. The requirements for carbon substrates and energy for bioreactor operations are major factors contributing to the high production costs and environmental impact of PHAs. Improving the process productivity is an important aspect of cost reduction, which has been attempted using a variety of fed-batch, continuous, and semi-continuous bioreactor systems, with variable results. The purpose of this review is to summarize the bioreactor operations targeting high PHA productivity using pure cultures. The highest volumetric PHA productivity was reported more than 20 years ago for poly(3-hydroxybutryate) (PHB) production from sucrose (5.1 g L−1 h−1). In the time since, similar results have not been achieved on a scale of more than 100 L. More recently, a number fed-batch and semi-continuous (cyclic) bioreactor operation strategies have reported reasonably high productivities (1 g L−1 h−1 to 2 g L−1 h−1) under more realistic conditions for pilot or industrial-scale production, including the utilization of lower-cost waste carbon substrates and atmospheric air as the aeration medium, as well as cultivation under non-sterile conditions. Little development has occurred in the area of fully continuously fed bioreactor systems over the last eight years.

Graphical Abstract

1. Introduction

The production of completely biodegradable materials from renewable resources is an urgent challenge for the mitigation of the cradle-to-grave environmental impacts associated with petroleum-based plastics. In 2015, the worldwide production of synthetic plastic materials exceeded 320 million tonnes [1], and at current consumption rates, it is estimated to reach 33 billion tonnes by 2050 [2]. Of the amount currently produced, less than half is recycled or landfilled [2]. An astonishing amount of these materials are unaccounted for, and persist in natural ecosystems due to their high molecular weight and recalcitrance to biodegradation [3,4,5], which can have multiple detrimental impacts on both terrestrial and aquatic ecosystems. It is estimated that 10 to 20 million tonnes of plastic material is discarded into oceans alone [6]. Once in the natural environment, plastics can absorb and concentrate persistent organic pollutants [7], and release toxic additives that are not chemically bound in the polymer [8,9]. Through mechanical abrasion, plastics are broken down into microsized to nanosized particles that bioaccumulate in filter-feeding animals, posing a significant threat to marine ecosystems [6]. Recent evidence suggests that particles <10 μm may pose significant risks to human health through inhalation and the penetration of pulmonary surfaces [10,11].
Microbial polyhydroxyalkanoates (PHAs) are a class of bio-based and biodegradable polymers that may help displace certain applications for traditional plastic materials [12,13,14]. PHAs are intracellular carbon and energy storage polymers that are synthesized (generally under growth-limiting conditions) by more than 300 species of Gram-positive and Gram-negative bacteria [13,15,16], as well as several species of archaea [17]. These R-configuration hydroxyalkanoic acids have properties that are often compared to polyethylene or polypropylene [18,19,20], but can be completely broken down to water, biomass, and CO2 through the enzymatic activity of microorganisms [21]. On the basis of the length of the monomer subunits, PHAs are generally classified as either short-chain length (scl), or medium-chain length (mcl). The scl-PHAs have monomer subunits with carbon chain lengths of three to five carbon atoms. To date, the most common and best characterized PHAs are poly(3-hydroxybutryate) (PHB) and copolymers of PHB with poly(3-hydroxyvalerate) (PHBV) [19,22]. In contrast, mcl-PHAs have carbon chain lengths of six to 14 carbon atoms, and account for 95% of the 150 identified PHA monomers, implying the potential for many polymers with different properties and a diversity of applications [23,24]. For the remainder of this document, all of the abbreviations referring to the PHA composition will imply the 3-hydroxy form, whereas the 4-hydroxy form will be specified explicitly (i.e., P(4-HB)).
Life cycle analyses have shown that PHAs, depending how they are produced, can outperform polyethylene or polypropylene in impact categories that include CO2 production, ecological footprint, and environmental toxicity [25,26,27], as well as global warming potential and non-renewable energy consumption [28,29,30]. However, several reports have indicated that the production of PHA requires more fossil fuels than petrochemical plastics [31,32]. The impact appears to be largely dependent on the available carbon feedstock as well as the nature of the electricity source that is used in the production process. Despite mixed reports on life cycle analysis, there is still much optimism around PHAs, and it is anticipated that as production technology evolves, life cycle analyses will increasingly favor PHAs [33,34].
Despite this promise, PHAs represent only a very small fraction of global biopolymer production, which in turn represents at most 5% of the current global plastic market [27,35]. Only a few companies currently produce PHAs at pilot-scale or industrial-scale levels [25,36], and their application is limited to a few niche markets. A major factor for this is the high production cost of PHAs, which is estimated to be anywhere from three to 15-fold higher than polyethylene or polypropylene [36,37]. The cost of the carbon source accounts for a large portion (most estimates are 40–50%) of PHA production costs [38,39,40]. Much recent focus has been given to identifying inexpensive and readily available carbon substrates for PHA synthesis [38,39,41,42,43,44].
In addition to using low-cost carbon feedstock, efficient cultivation techniques aimed at obtaining high rates, yields, and product titers are crucial to the sustainability of PHAs [38,45]. The objective of this review is to summarize past studies regarding bioreactor operation strategies for high PHA productivity. These include a variety of fed-batch, cyclic batch, or cyclic fed-batch processes (semi-continuous), and fully continuous bioreactor systems. In addition, where possible, we also examine the degree to which these technologies have been scaled-up to pilot or industrial levels. Although the primary focus of this article is given to mcl-PHAs, the literature on scl-PHAs is often referred to as a useful point of reference.
The terms that are used throughout this paper are defined here, including: total biomass, [Xt] (g L−1); PHA biomass, [XPHA] (g L−1); non-PHA residual biomass, [Xr] (g L−1); intracellular PHA content, %PHA (expressed as a percent of cell dry mass, CDM); volumetric productivity, Qv (g L−1 h−1); and yield of PHA from the carbon substrate YPHA/S (g g−1 or mol mol−1). Where appropriate, PHB may be used interchangeably with PHA in these terms for improved clarity. Square brackets are used to indicate concentration.

2. Production of PHAs in Fed-Batch Bioreactor Systems

While batch cultivations are useful in certain bioprocessing applications or to study physiology, they are not ideal for high-productivity PHA cultivation processes. In batch cultures, the reactants (i.e., carbon, NH4, PO43−, Mg2+) are added initially without any further addition during the cultivation process, so the initial concentration is restricted to sub-inhibitory levels. Due to this, the cell density and productivity is limited, and batch cultures are therefore not discussed in this review, but have been reviewed recently elsewhere [46]. The objective of applying fed-batch cultivation to PHA production is to combine high cell density (HCD) cultures with high %PHA in order to maximize Qv. Fed-batch cultures are usually started in batch mode, and the culture is fed with nutritional components for growth and/or PHA synthesis in order to prolong the exponential-phase growth at a high rate, thereby maximizing cell density as quickly as possible [47]. To date, HCD fed-batch cultures have demonstrated the highest Qv in both scl-PHA and mcl-PHA production [48,49], and are also used in most industrial production settings [50].
Obtaining high %PHA is also a very important factor for high Qv, improving the ease of downstream processing, and overall process economics [51,52]. For most of the production strains in which PHA synthesis is not growth-associated, the growth phase is followed by continued carbon feeding in the absence of another nutrient, which is often NH4 or PO43−, to promote high %PHA at the time of harvest. Thus, the cultivation process is usually divided into a growth phase and a PHA accumulation phase, with both occurring in the same vessel, but separated temporally, although this is not always the case. For example, some organisms such as Azohydromonas lata and recombinant strains of Escherichia coli (recombinant implied hereafter with respect to E. coli) are known to accumulate PHA concurrently to growth, although in A. lata, the application of N-limitation reportedly improved PHA synthesis [53,54].
Other studies have shown that mcl-PHA production occurs concurrently to growth when the carbon uptake rate is limited by the feeding rate, such that nutrient limitation is unnecessary [55,56]. However, generally, the application of nutrient limitation is known to be beneficial to PHA synthesis, and the timing has been shown to be important [57,58] for the general case where growth and PHA synthesis occur in separate phases. Fed-batch cultivations can also be used to improve the YPHA/S for a given substrate. This is usually done by supplying a lower-cost carbon source (often glucose) for cell production during the growth phase, with subsequent feeding using substrates that typically exhibit high YPHA/S, but are often more expensive. For example, Sun et al. obtained a Qv of 1.44 g L−1 h−1 using P. putida KT2440 when feeding nonanoic acid at an exponential growth rate that was designed to maintain a specific growth rate (μ) of 0.15 h−1 [55]. When nonanoic acid was co-fed with glucose (1:1 mass basis) at an exponential growth rate (μ = 0.25 h−1) followed by linear feeding, a very similar Qv was obtained, but the yield of PHA from nonanoic acid improved from 0.60 g g−1 to as much as 0.69 g g−1 [56]. Similar strategies have been applied by others [59,60,61,62,63].
Several high-productivity fed-batch cultivations using pure cultures are shown in Table 1 for mcl-PHA and Table 2 for scl-PHA studies. Most of the mcl-PHA studies have used relatively expensive mcl-fatty acids to obtain %PHA as high as 76% CDM [59], Qv as high as 2.13 g L−1 h−1 [48], and YPHA/S as high as 0.86 g g−1 [60]. Although glycerol and carbohydrate-based substrates are not generally associated with high %PHA [42,64,65,66], a few studies have obtained %PHA as high as 67% CDM from glucose and 47% CDM from glycerol [67,68] using a recombinant strain of P. putida KT2440. Another study obtained 63% CDM as mcl-PHA from an equimolar mixture of glucose and fructose using P. putida IPT046 [69].
Despite some promising results for fed-batch mcl-PHA cultivations, as shown in Table 1, a comparison with Table 2 shows that, in general, the Qv of mcl-PHA cultivations is low when compared with scl-PHA production processes. Ryu et al. [84] reported achieving [Xt] of more than 280 g L−1 CDM with [XPHB] of more than 230 g L−1 (%PHB = 83% CDM) using C. necator grown on glucose. While these are the highest known experimental values for [Xt] and [XPHA], Wang and Lee [49] reported the highest Qv (5.13 g L−1 h−1) using A. lata (formerly Alcaligenes latus) cultured on sucrose. By comparison, MacLean et al. [48] have reported the highest mcl-PHA Qv from inoculation to harvest at 2.13 g L−1 h−1. As shown in Table 1, the [Xt] seldom exceeded 100 g L−1 in mcl-PHA cultivations, and only one study has reported [XPHA] of more than 70 g L−1 [75]. Generally, mcl-PHA cultivations appear to be characterized by lower [Xt] and lower %PHA. The reasons for the productivity discrepancy between scl-PHA and mcl-PHA production remains unclear, but the %PHA might be explained by differences in granule morphology [21,72].
Interestingly, the number of studies targeting cultivation strategies for achieving the highest possible Qv appeared to peak in the mid-1990s for scl-PHAs, and perhaps 10–15 years later for mcl-PHAs. While these studies are valuable tools for understanding process engineering design and limitations, they are hindered by a few key impracticalities. These include the use of high-purity carbon substrates as well as using O2-enriched air for aeration. More recently, there appears to be somewhat of a shift toward PHA production from waste substrates such as crude glycerol [90,99], plant-based oils [77,79,94,95,102], and lignocellulose-based hydrolysates [98], and devising strategies to achieve HCD cultures without use of purified O2 streams [61,62,103].

2.1. Control of Fed-Batch Cultivations

A significant challenge in fed-batch cultivation is predicting the nutritional requirements of the culture in real-time so that an appropriate feeding strategy can be implemented. Direct and rapid measurement of the parameters of interest (i.e., [Xt], %PHA, residual concentrations of carbon, NH4, PO43−, Mg2+, etc.) is often not possible, or the existing methods require expensive analytical equipment with a considerable time delay [104,105,106]. Nonetheless, some studies have used online or rapid offline measurements of residual carbon levels using analytical techniques such as gas chromatography (GC) [73,82], high-performance liquid chromatography (HPLC) [89,91], and mass spectrometry (MS) [81]. Others have made use of online glucose analyzers [57,63,84,88,107].
Most often, feeding rates are predicted indirectly through using other parameters that can be rapidly and reliably measured using standard bioreactor equipment. Some of the more popular methods involve the use of off-gas CO2 measurements [79,80,107,108], dissolved oxygen (DO) measurements [49,67,77,109], pH measurements [53,54], optical density [58,75], and combinations thereof [58,75,101]. In general, with these approaches, carbon limitation results in reduced oxygen demand, which manifests itself as a large drop in CO2 production, reduced agitation rates, and also a rise in the DO signal. A rise in pH may also be detected with the exhaustion of the carbon source, assuming a negligible impact on pH from the production of acetate, amino acids, and the source of nitrogen [76]. With these methods, the carbon source is often fed pulse-wise upon detection of a limitation in order to bring the concentration back up to the desired level [49,53,58,86,94,95,98,102,110]. Interestingly, it appears that the chosen method of carbon addition can influence PHA production. For example, Możejko and Ciesielska [110] showed a significant increase in %PHA (from a maximum of 25% CDM to 44% CDM) in Pseudomonas sp. G101 when the carbon source (waste canola oil) was fed to the bioreactor by a pulse-feed strategy in comparison to a continuous drip-feed addition of an equivalent aliquot of waste canola oil. Although this type of feast–famine process is often applied to PHA-storing populations in mixed microbial cultures [40], these results may suggest that small-scale feast–famine is favorable for PHA storage in pure cultures.
Alternatively, a more proactive strategy may be applied in which the culture is fed in order to maintain a predetermined (typically exponential) growth rate. This method has been quite successful in several studies, and has achieved [Xt] nearing 100 g L−1 CDM for growth of Pseudomonas sp. on both fatty acid and carbohydrate-based carbon sources [48,61,62]. Typically, these models require the initial [Xt], the change in μ over time, as well as establishing constant [59], linear [60,61], or decaying [48,72] feeding rates during the PHA accumulation phase (see Table 3). According to MacLean et al. [48], sudden decreases in feeding rates result in cell lysis and foaming, so it is important to make the transition between different stages of feeding smoothly. Several feeding strategies have been investigated, and are shown in Table 3.
Significant efforts have gone into developing various models that allow the culture to grow as quickly as possible at the start of the process, before curbing the feeding rate to match the transient carbon uptake rate as the culture transitions to PHA storage. Sun et al. [55] have shown that controlling the growth rate via the rate of carbon addition allows higher [Xt] to be obtained before the process must be terminated due to inadequate oxygen mass transfer. Since lower growth rates are used, there is a trade-off in biomass productivity, but the constant carbon limitation is reported to cause simultaneous PHA accumulation and eliminates the need for the limitation of another nutrient to accumulate PHA. The onset of oxygen limitation inevitably limits Qv in HCD cultivations for PHA production and causes uncontrollable foaming and accumulation of the carbon source to potentially toxic levels (depending on the feeding strategy) [55,56,62,75,109,111].

2.2. Limitations of HCD Cultivations: The Oxygen Transfer Issue

Perhaps the biggest challenge with the control of HCD fed-batch cultures is maintaining an adequate supply of dissolved oxygen (DO). Gas-to-liquid mass transfer is driven by the concentration gradient between the liquid phase (CL) and the equilibrium concentration (CL*), the liquid film mass transfer coefficient (kL, i.e., distance time−1), and the interfacial area between the gas and the liquid (a), as described in Equation (1) [113]:
d D O d t = k L a ( C L C L )
As shown in Equation (2), if kLa is known, the oxygen uptake rate (OUR) of the culture can be estimated from the rate of change of DO with respect to time. Assuming no buildup of O2 in the liquid phase (i.e., steady-state conditions) the OUR can be assumed to be equal to the oxygen transfer rate (OTR), which can be written as shown in Equation (2) [114]:
OUR OTR = k L a ( C L C L )
With the onset of O2 limitation being problematic in strictly aerobic bioprocesses such as PHA production, many studies have focused on enhancing the OTR to achieve faster growth rates, higher cell densities, and ultimately higher productivity. Implicit from Equation (2) is that several approaches may be taken to do this, including the manipulation of CL*, a, or kL. All of the fed-batch studies use very high stirring rates to enhance the OTR by increasing both the tortuosity of the path taken by the bubble and the residence time of the bubble in the liquid phase (gas hold-up, which can be measured as the total liquid volume that is occupied by the gas). While this increases kL, stirring also helps to increase a by breaking up large bubbles. This requires a significant input of mechanical energy to the bioreactor, and is frequently used in conjunction with other techniques. Many studies also increase the driving force by increasing the CL*. As previously mentioned, this has included the use of an aeration medium with enriched O2 content (as noted in Table 1 and Table 2), as well as pressurization of the bioreactor headspace [79,115,116]. Interestingly, while pressurization increases CL*, it has also been shown to have a detrimental impact on kLa [117]. Other approaches involve increasing a using microbubbler devices [118]. Although not used in a PHA production context, Baker et al. (2016) used a microfluidic device to generate bubbles with an average diameter of around 110 μm, and obtained nearly ideal mass transfer (i.e., 90% of the oxygen in the gas phase was delivered to the liquid phase), which is a promising development for industrial biotechnology in general [119].
Other approaches have focused on modifying the medium through the addition of a second phase (liquid or solid) that effectively increases the solubility of O2 in the medium. Magnetic functionalized nanoparticles have been used to increase OTR (both kL and a) in bioreactors [120]. However, no reports could be found on the use of functionalized nanoparticles to improve PHA productivity. Two-liquid phase systems, in which small quantities of certain immiscible liquids are dispersed into the aqueous medium, have been reported to enhance OTR [121,122,123,124]. Interestingly, soybean oil (which along with other plant-based oils are high-yielding PHA substrates) has been found to significantly improve kLa when dispersed in aqueous medium [125,126]. A few studies have investigated two-liquid phase bioreactor systems in PHA production [70,74], but in those cases, n-octane served as the carbon source, and its possible effect on O2 solubility was not examined.
Genetic engineering strategies have also been explored to allow the synthesis of PHA to be more favorable at low DO conditions. Wei et al. [127] cloned several anaerobic promoters upstream of the phbCAB operon in E. coli. That study found that a strain harboring the promoter for alcohol dehydrogenase (in addition to phbCAB) increased the %PHB of a microaerobic (sealed flasks with no shaking) from 30% to 48% CDM, and this was further improved to 67% CDM when the acetate pathway was deleted. Although not done for the specific purpose of PHA production, Schmitz et al. [128] cloned phenazine redox mediators from P. aeruginosa into P. putida KT2440. This allowed P. putida to maintain oxygen-limited metabolism for two weeks by partial redox balancing in the presence of an anode in low DO environments, and could be a promising development for P. putida as a biocatalyst for HCD and large-scale PHA production.
In summary, maintaining adequate DO at high cell density is a significant challenge for commercial-scale PHA production. As discussed in this section, this is due to a combination of the low solubility of O2 in aqueous medium and poor gas-to-liquid mass transfer of O2. Although a number of techniques, some of which appear quite promising, may be applied to delay the onset of O2-limited conditions and achieve higher cell densities and increased productivities, there are drawbacks to many of these techniques. In particular, the use of purified O2 can add significant fixed and operating costs to PHA production [51,116]. Bioreactor pressurization may be a more attractive alternative, but this requires specialized equipment and also makes feeding less straightforward due to the need for bioreactor addition ports that are compatible with pressure. The use of microbubble devices can significantly improve gas-to-liquid mass transfer, but can also require high-energy input [129] and be prone to fouling [130]. Even the high mechanical energy that is required for vigorous agitation and aeration accounts for a large portion of the environmental impact and cost of PHA production [34]. An unfortunate paradox is that many of these developments are not cost-effective to implement in large-scale cultivation systems, which have inherently poor mass transfer characteristics [131,132,133]. Studies that have scaled up fed-batch processes in PHA production are discussed in the following section.

2.3. Scale-Up Fed-Batch PHA Production

As discussed above, the PHA productivity of bench-scale fed-batch operations is almost inevitably limited by the bioreactor OTR. Such limitations are exacerbated with increasing scale and represent some of the biggest engineering challenges for bioprocess scale-up. There are many criteria that can be used for the basis of scale-up, including similar geometry, constant impeller tip speed, constant Reynolds number, constant kLa, circulation time, or constant power input (either gassed or ungassed) per unit reactor volume [134]. Ultimately, all of these criteria are simply different ways of measuring energy requirements, which is the limiting factor in scale-up. For example, according to Lara et al. [133] performing a scale-up from 80 L to 1000 L on the basis of constant circulation time could be done, but would result in a 25-fold increase in power dissipation per unit volume. The lesser power dissipated for mixing in large-scale bioreactors creates non-homogeneous physical and chemical environments for microbes, and generally results in productivity losses of 10–30% at increased scale for many bioprocesses. In a conventional bioreactor design, these gradients usually occur in the vertical direction, since feeding is done from the top and aeration is done from the bottom, and significant hydrostatic pressure near the bottom can also influence gas solubility [135]. This complicates the measurement of important process variables, because the measurement results can be highly dependent on the location of the probes [131]. In order to anticipate some of these challenges, scale is increased by no more than one order of magnitude at a time [134].
Despite these challenges, the ability to demonstrate scalable PHA cultivation techniques is important to reduce costs and improve the economic viability of PHA markets. According to Choi and Lee [51], increasing scale can significantly decrease costs (both operating and capital costs) for production capacities of up to 15,000 tonnes of PHA per annum. In the literature reviewed so far, the majority of the focus in PHA research has been on strategies to improve productivity in lab-scale bioreactors, typically with working volumes of 5 L or less. Studies that have investigated some aspect of scale-up are relatively few, but are shown in Table 4 for a variety of cultivations, including both mcl-PHA and scl-PHA production at scales ranging from at least 100 L to 10,000 L. Relatively few studies have reported this kind of scale-up of at least 100 L. If the bioreactor size is set a lower limit, such as 30–50 L, Table 4 would include quite a few more studies [53,77,84,91,109,136].
As indicated in Table 4, scl-PHA productivities of around 1 g L−1 h−1 have been demonstrated in a few studies at the 300-L (100–150 L working volume) scale [139,140], whereas 0.75 g L−1 h−1 has been demonstrated for mcl-PHA production at a similar scale [112]. These values are less than half the Qv values reported in Table 1 and Table 2 for similar processes. This is likely because many of the studies in Table 1 and Table 2 have used purified O2 as the aeration medium, which can increase the driving force for oxygen transfer nearly five-fold [146], and is usually impractical in larger scale vessels. This is exemplified by none of the scale-up studies in Table 4, other than one study that used a slightly pressurized headspace, using an O2-enriched aeration medium. A recent study performed a kLa-based scale-up and obtained a Qv of 1.66 g L−1 h−1 (P(3-HB-co-4-HB) in a 5000-L bioreactor, which is perhaps the most promising pilot-scale result in PHA production to date [145]. Interestingly, in that same study, the Qv obtained at 5000 L was slightly higher than that which was achieved at the 1000-L scale, and was significantly better than the result achieved at lab-scale (7.5 L, see Table 4). However, in this study, the estimated kLa in both the 1000-L and 5000-L bioreactors was similar, and significantly better than the 7.5-L bioreactor.
Shang et al. [141] evaluated growth and PHB synthesis from C. necator using air compared to purified O2 as the aeration medium in 5-L and 30-L bioreactors, as well as a 300-L bioreactor where air was the sole aeration medium. Although the focus of that study was the effects of CO2 inhibition arising from poor liquid-to-gas mass transfer at lower gas flow rates (used to minimize the use of purified O2), the study presents a useful comparison to help deconvolute the effects of increasing the driving force for oxygen transfer by gassing the reactor with pure O2. The use of pure O2 instead of atmospheric air doubled [Xt] nearly four-fold (from 96 g L−1 to 208 g L−1) in the 5-L bioreactor and more than tripled [Xt] (from 49 g L−1 to 186 g L−1) in the 30-L bioreactor. Furthermore, Qv displayed a two-fold increase from approximately 1 g L−1 to 3 g L−1 h−1 in both the 5-L and 30-L bioreactors. Interestingly, the PHB content was elevated when pure O2 was used at both the 5-L and 30-L scale. This is somewhat unexpected, since PHB is known to be synthesized from glucose in low-DO environments [147,148,149]. Oxygen limitation became very prevalent at the 300-L scale, which achieved two-fold less biomass than the 30-L scale, and four-fold less biomass than the 5-L scale when air was used as the sole aeration medium.
It is worthwhile mentioning that Shang et al. [141] concluded that there was a significant effect of CO2 inhibition on both growth and PHA synthesis in C. necator. Follonier et al. [115] also evaluated the effect of elevated CO2 concentrations in a pressurized bioreactor system, and concluded that dissolved CO2 concentrations of up to 540 mg L−1 did not negatively affect mcl-PHA synthesis, but did result in decreased μ in cultures of P. putida KT2440. Both of these studies suggest that the buildup of CO2 from liquid-to-gas mass transfer limitations also merit consideration during process scale-up, since they have been shown to negatively impact both growth and PHA synthesis.

3. Continuous and Semi-Continuous Bioreactor Systems

In continuous culture, fresh medium is constantly supplied to the bioreactor, and a portion of the culture is removed at the same rate: the dilution rate (D). The conditions inside the reactor (substrate, cell, and product concentrations) remain at steady state, and because of this, continuous cultures are often referred to as chemostats, which is short for “chemical environment is static” [150]. Steady-state operation has a number of advantages. It is an attractive platform to study bioprocess physiology and implement control strategies due to the constant growth rate, and is less laborious to operate and maintain once steady-state operation is reached [15,150,151]. Steady-state operation also circumvents the major challenge of the optimal control of fed-batch strategies, which involves predicting growth rates over time and under highly dynamic conditions [50].
However, the main reason that continuous bioreactor operations may be of interest is that they can theoretically achieve higher average productivity (over time) in comparison to discontinuous processes [152]. This is done by maintaining the culture at a moderate but constant growth rate for prolonged periods and avoiding the non-productive downtime that is required for harvest, cleaning, preparation of new medium, sterilization, cooling, and culture lag in a discontinuous process [15,150]. Ultimately, higher productivities could result in a smaller reactor volume requirement, less capital investment (for both the production and downstream processing requirements), lower operating costs, and would avoid some of the typical mass transfer issues associated with the scale-up of discontinuous processes, which have already been discussed [150,152,153,154]. Furthermore, the manipulation of chemostat cultures has also been shown to reproducibly tailor monomer composition [153,155,156] and Mw [157], giving the process considerable flexibility.
Despite the significant upsides of continuous cultivation processes, the experimental values for PHA productivities have not reached the levels that have been reported for fed-batch cultivation. [153]. There are a number of other challenges with continuous culturing that have perhaps limited its industrial application. These include: (1) the higher risk of infection due to a large number of fittings and pumping processes; (2) the risk of back-growth into the feed medium reservoir; (3) maintaining genetic stability of the production strain over many generations; and (4) cell washout as the D approaches μmax [50,158,159].

3.1. Continuous Processes in PHA Production

The D is an important parameter in continuous systems, and is defined as the quotient of the bioreactor working volume to the incoming flow rate (h−1). This can have a significant impact on μ, %PHA, and hence Qv [160,161]. Unless cell retention techniques are employed, the D is equal to both the hydraulic retention time and solids retention time, and must be lower than μmax to prevent cell washout or wasting the carbon source (which unless recycled must be subject to post-treatment to remove the biochemical oxygen demand of the waste effluent). On the other hand, μ must be maintained high enough to allow productive growth, keep toxic substrates diluted, and remove any accumulation of toxic end products.
It must be acknowledged that the application of continuous culture for PHA production is a significant challenge. In general, PHA synthesis is not growth-associated, and cannot therefore be simultaneously optimized (along with growth) in a reactor operating at steady state [50,150]. This may be the reason that continuous cultures are often applied as a tool to study physiology rather than an operating strategy to advance PHA productivity. One solution has been to implement a two-stage process in which the two phases (growth and PHA synthesis) are separated spatially by adding a second reactor in-series, where conditions favorable to PHA accumulation (i.e., high C/N or C/P ratios) can be implemented. This has been done in multiple instances with promising results [153,162,163]. One study producing PHB from glucose using C. necator has used a cascade of five bioreactors in series (i.e., to simulate plug flow) in order to optimize %PHA [164].
These, and other past studies of PHA production (both mcl-PHA and scl-PHA) in continuous cultures are summarized in Table 5. It is worth noting that Ramsay et al. [159] carried out the original study of mcl-PHA production in continuous culture as a way to circumvent the toxicity effect of related substrates using P. putida GPo1 grown on octanoate. While this study showed a relationship of decreased %PHA with increased D, %PHA was low, and ultimately, it was concluded that a fed-batch strategy should be pursued. This group of researchers subsequently developed high-productivity fed-batch strategies (Table 1).
Reviewing Table 1 and Table 2 reveals that Qv (for both mcl-PHA and scl-PHA) is significantly lower in continuous processes (to date) than in fed-batch processes. However, it is important to note that fed-batch productivities are always reported on a time-scale from inoculation to harvest. To be able to compare these values with those in Table 6, productivity should be amortized over time from one harvest to the next, factoring in the downtime for cleaning, preparation, sterilization, cooling, and preparation of the inoculum for the subsequent cultivation. Follonier et al. [115] investigated the effects of increased pressure on mcl-PHA production from a combination of octanoic and undecenoic acid in a chemostat culture. Although a reasonable productivity was obtained (Table 5), it was estimated that with some further optimization to increase the OUR (higher aeration), the mcl-PHA productivity in this system could be pushed to as high as 11 g L−1 h−1, assuming O2 to be the only limiting factor. While this number would indeed be a remarkable development, to our knowledge, this has not yet been done.

3.2. Cyclic/Repeated (Semi-Continuous) Processes Culture in PHA Production

Repeated or cyclic batch and fed-batch processes could also be adopted as a method to increase Qv by decreasing the non-productive downtime between batches. Although still a discontinuous process, the growth and PHA production phases can be accomplished in a single bioreactor operated under transient conditions. With this type of operation, a portion of the reactor is decanted and refilled with fresh medium to restart the process immediately after the end of the last cycle [47]. This principle is similar to sequencing batch reactors (SBRs), which have become a popular culture selection tool with subsequent scl-PHA production using mixed microbial cultures (MMCs), allowing for the quick and easy manipulation of process conditions to favor PHA production [40]. Although developed primarily as a selection tool for robust scl-PHA-producing populations from MMCs, they may also be a reliable method for producing mcl-PHA effectively using pure cultures. Although harvest is done at intervals (i.e., discontinuously), there is still a considerable time-saving advantage by using the remaining broth as a seed for the subsequent reactor, eliminating the time required to clean, sterilize, and prepare new inoculum [173]. Several instances of this type of process are shown in Table 6, and some have reported highly competitive productivities. However, in several cases, only a few cycles were done [169,171], and the cultures did not appear to achieve a steady state. Ideally, more prolonged operation would be required to take advantage of the time saved by using a cyclic approach.
Since waste carbon sources are usually diluted (lactose in whey solution, for example), often these cyclic processes are employed in conjunction with a cell-retention technique (typically an external membrane module) to overcome the volumetric limitation imposed by feeding a diluted carbon source [168,175,176]. This is generally not the case with the studies reported in Table 1 and Table 2. Cell-retention techniques (i.e., a membrane filter) allow the decoupling of the solids’ retention time from the D, meaning that cells can be exposed to more carbon and thus accumulate higher %PHA, while avoiding washout with the effluent. As shown, some of these studies have reported cell densities approaching 150–200 g L−1, with PHB content of up to 87% CDM.

3.3. Sterility Challenges

One of the challenges of semi-continuous or continuous operation is the increasing risk of contamination [178]. Although pure cultures may be preferred in PHA production because of the reproducibility of the process and products, the cost of sterilization processes is one of the main disadvantages compared with mixed culture PHA production [179]. However, if an environment can be established that precludes or minimizes the growth of competitors, then the lack of a need for sterilization could be a cost-saving measure for pure culture production as well. Such techniques are used in PHA production with MMCs, in which feast-and-famine cycles (aerobic dynamic feeding) are used to select for PHA-producing bacterial populations, because the ability to store carbon gives them a competitive advantage under starvation conditions [180]. Tan et al. [181] isolated a halophilic bacterium (Halomonas bluephagenesis TD01) from a salt lake in China. This organism was cultured under non-sterile conditions (37 °C, pH 9.0), and produced 80 g L−1 CDM containing 80% PHA in 56 h using a fed-batch method. In a two-stage continuous bioreactor, the steady-state concentration of biomass in the first reactor was 40 g L−1 with 60% PHB content, and PHB content rose to 70% CDM after being transferred to the second stage with nitrogen-limiting conditions. In an uninoculated blank study, 3.5 g L−1 of cellular contaminants was observed after 48 h, but no contaminants could be detected in the presence of H. bluephagenesis TD01. Subsequently, a genetically modified derivative of this strain (TD40, with the succinate semi-aldehyde dehydrogenase deleted) was cultivated in fed-batch mode under non-sterile conditions at the 5000-L scale [145]. In that study, [Xt] of nearly 100 g L−1 were achieved along with P(3-HB-co-4-HB) productivities of 1.66 g L−1 h−1 (see Table 4).
In a similar study, Yue et al. [172] were able to maintain relatively steady biomass and PHB concentrations, with no evident contamination using wild-type and recombinant H. campaniensis LS21 in a 65-day open process that was periodically fed a mixture of fats, proteins, and cellulose-based substrates designed to model kitchen waste. Lillo and Rodriguez [166] made use of the salt-tolerant properties of the haloarcula Hfx. mediterranei ATCC 33500 to maintain a continuous culture for three months under non-sterile conditions with stable PHB production. Other studies have employed methanotrophs [182] as well as thermophilic strains [171] for the production of PHA under non-sterile conditions.

4. Discussion and Conclusions

The widespread use of PHAs in biopolymer applications is currently prevented by their high production cost [34], the cost of downstream processing [29], as well as the questionable life cycle-based performance [32]. The upstream production costs can largely be broken down into the cost of the carbon source [39], the cost for mechanical agitation and the aeration of the bioreactor itself [34], as well as the capital and operating costs that are required to maintain a sterile environment [178]. Therefore, the development of efficient cultivation strategies is an important milestone toward producing PHAs in a cost-effective manner. In this review, we have attempted to summarize the bioreactor operational strategies that are used to target high-productivity PHA production using pure cultures. The paragraphs that follow are a summary of the findings.
Fed-batch strategies appear to be the most popular high-productivity cultivation method, and boast some of the highest reported Qv values for both mcl-PHA and scl-PHA production. Many earlier studies, particularly from the mid-1990s in scl-PHA production and perhaps 10–15 years later in mcl-PHA production, report some of the highest known Qv values to this day. However, recently, we have seen a shift away from those studies that simply target reporting the highest known Qv, perhaps because many of those studies were done under conditions that were only possible at the lab-scale and unrealistic for pilot-scale and industrial-scale bioreactors. These conditions include the use of highly refined carbon substrates and increasing the driving force for oxygen transfer through sparging with O2-enriched air.
A look at more recent studies shows a shift toward addressing these issues. Firstly, several recent studies have achieved reasonably good results using more realistic waste carbon substrates, including agricultural residues [98,108], waste glycerol [99,183], VFAs [61,62,96,101], and plant oils [94,102]. Secondly, many of these studies are doing so without use of O2-enriched air, which can significantly improve productivity, but also adds significant expense, and is therefore not generally recommended [51,139]. This is exemplified in this review; one study from over 20 years ago used a 50-L bioreactor with pure O2 [53], but no such recent studies of scaled-up systems with working volumes of approximately 100 L or greater were found. This suggests that ongoing developments for pilot-scale and industrial-scale PHA production operations should rely on efficient cultivation strategies that are not dependent on pure O2 usage. This is currently being addressed at the lab scale, and several promising high-productivity cultivation systems have been developed for both mcl-PHA and scl-PHA production that use only air [61,62,97,103,176] as well as in industrial-scale bioreactors [139,145]. Although other methods for increasing the driving force of oxygen transfer are available, including pressure [115], microbubble devices [118], and microfluidic devices [119], they have not yet been applied on a large scale.
Time is a significant factor in advancing PHA productivities. While the preferred mode of operation in PHA production certainly appears to be fed batch, continuous processes may have higher average productivity over prolonged operation due to the lack of downtime between batches. Continuous cultures of both scl-PHA and mcl-PHA have resulted in productivities in excess of 1 g L−1 h−1, but little process development has occurred in this area within the last eight years, which is a problem that was also identified in a 2015 review of strategies for large-scale PHA production, and appears to remain unaddressed at present [45].
Cyclic/repeated processes also use time as a factor to advance productivity, although not as effectively as fully continuous bioreactors. There have been a number of promising developments in this area within the last 10 years. Within this context, cell retention techniques can be employed to overcome the volumetric limitation that comes from feeding waste carbon streams in which the substrates are often diluted. When these cell-retention techniques are employed, some studies have achieved productivities in excess of 3 g L−1 h−1 from waste substrates [168] or diluted carbon streams intended to represent waste streams [176]. While these processes have recently shown great promise, they were generally not operated long enough to take advantage of the time saved from the minimal downtime in a cyclic process. Finally, the capital and operating costs of sterilization are being considered, as is indicated by a recent review of non-sterile biotechnological processes [184]. This is particularly important for continuous and semi-continuous bioreactor systems, which are especially susceptible to contamination [50], but is also being considered in fed-batch cultivations by using halophiles and thermophiles [171,172,181].
In summary, with the exception of the lack of process development for full continuous bioreactor systems, the overall trends toward scaling-up, utilizing available inexpensive waste carbon streams, and non-sterile cultivations are promising. The recent work of Ye et al. [145] perhaps best represents the culmination of these technologies, and establishes what is, in our view, a new benchmark to give optimism to the industry: industrial-scale PHA production with high Qv (1.7 g L−1 h−1) from an available waste carbon source (corn steep liquor) under non-sterile conditions. These and other similar developments keep PHAs a relevant and worthwhile pursuit for novel biopolymer applications.

Author Contributions

Individual contributions of authors are as follows: (1) Conceptualization: D.B.L. and W.B.; (2) Writing of the original draft preparation and literature review: W.B.; (3) Writing, review, and editing: D.B.L. and N.C.; (4) Supervision: D.B.L. and N.C.; (5) Funding Acquisition: D.B.L. (GAPP and NSERC Discovery grants) and W.B. (NSERC CGS-D, Sir Gordon Wu Scholarship and Edward R. Toporeck fellowship).

Funding

This work was funded by: (1) Genome Canada, through the Genome Applications and Partnership Program (GAPP) grant titled “Fibre composite and biomatrix genomics” (FiCoGen); (2) the Natural Sciences and Engineering Research Council (NSERC) of Canada through a Discovery grant (RGPIN-5961-2016) and a Doctoral Alexander Graham Bell Canada Graduate Scholarship (CGS-D), the University of Manitoba through the University of Manitoba Graduate Fellowship and Sir Gordon Wu Scholarship, and the University of Manitoba Faculty of Engineering through the Edward R. Toporeck Graduate Fellowship.

Conflicts of Interest

The authors declare no conflict of interest. The funding sponsors had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, and in the decision to publish the results.

References

  1. Worm, B.; Lotze, H.K.; Jubinville, I.; Wilcox, C.; Jambeck, J. Plastic as a Persistent Marine Pollutant. Annu. Rev. Environ. Resour. 2017, 42, 1–26. [Google Scholar] [CrossRef]
  2. Rochman, C.M. The Complex Mixture, Fate and Toxicity of Chemicals Associated with Plastic Debris in the Marine Environment. In Marine Anthropogenic Litter; Bergmann, M., Gutow, L., Klages, M., Eds.; Springer International Publishing: Cham, Switzerland, 2015; pp. 117–140. ISBN 978-3-319-16509-7. [Google Scholar] [Green Version]
  3. Hammer, J.; Kraak, M.H.S.; Parsons, J.R. Plastics in the Marine Environment: The Dark Side of a Modern Gift. In Reviews of Environmental Contamination and Toxicology; Whitacre, D.M., Ed.; Springer: New York, NY, USA, 2012; Volume 220, pp. 1–44. ISBN 978-1-4614-3413-9. [Google Scholar]
  4. Philp, J.C.; Ritchie, R.J.; Guy, K. Biobased plastics in a bioeconomy. Trends Biotechnol. 2013, 31, 65–67. [Google Scholar] [CrossRef] [PubMed]
  5. Teuten, E.L.; Saquing, J.M.; Knappe, D.R.U.; Barlaz, M.A.; Jonsson, S.; Bjorn, A.; Rowland, S.J.; Thompson, R.C.; Galloway, T.S.; Yamashita, R.; et al. Transport and release of chemicals from plastics to the environment and to wildlife. Philos. Trans. R. Soc. B Biol. Sci. 2009, 364, 2027–2045. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  6. Bergmann, M.; Gutow, L.; Klages, M. (Eds.) Marine Anthropogenic Litter; Springer: Cham, Switzerland, 2015; ISBN 978-3-319-16510-3. [Google Scholar]
  7. Mato, Y.; Isobe, T.; Takada, H.; Kanehiro, H.; Ohtake, C.; Kaminuma, T. Plastic Resin Pellets as a Transport Medium for Toxic Chemicals in the Marine Environment. Environ. Sci. Technol. 2001, 35, 318–324. [Google Scholar] [CrossRef] [PubMed]
  8. Bejgarn, S.; MacLeod, M.; Bogdal, C.; Breitholtz, M. Toxicity of leachate from weathering plastics: An exploratory screening study with Nitocra spinipes. Chemosphere 2015, 132, 114–119. [Google Scholar] [CrossRef] [PubMed]
  9. Lithner, D.; Larsson, Å.; Dave, G. Environmental and health hazard ranking and assessment of plastic polymers based on chemical composition. Sci. Total Environ. 2011, 409, 3309–3324. [Google Scholar] [CrossRef] [PubMed]
  10. Gasperi, J.; Wright, S.L.; Dris, R.; Collard, F.; Mandin, C.; Guerrouache, M.; Langlois, V.; Kelly, F.J.; Tassin, B. Microplastics in air: Are we breathing it in? Curr. Opin. Environ. Sci. Health 2018, 1, 1–5. [Google Scholar] [CrossRef]
  11. Hale, R.C. Are the Risks from Microplastics Truly Trivial? Environ. Sci. Technol. 2018, 52, 931. [Google Scholar] [CrossRef] [PubMed]
  12. Iwata, T. Biodegradable and bio-based polymers: Future prospects of eco-friendly plastics. Angew. Chem. Int. Ed. 2015, 54, 3210–3215. [Google Scholar] [CrossRef] [PubMed]
  13. Madison, L.L.; Huisman, G.W. Metabolic engineering of poly(3-hydroxyalkanoates): From DNA to plastic. Microbiol. Mol. Biol. Rev. 1999, 63, 21–53. [Google Scholar] [PubMed]
  14. Deroiné, M.; César, G.; Le Duigou, A.; Davies, P.; Bruzaud, S. Natural Degradation and Biodegradation of Poly(3-Hydroxybutyrate-co-3-Hydroxyvalerate) in Liquid and Solid Marine Environments. J. Polym. Environ. 2015, 23, 493–505. [Google Scholar] [CrossRef]
  15. Braunegg, G.; Bona, R.; Koller, M. Sustainable Polymer Production. Polym.-Plast. Technol. Eng. 2004, 43, 1779–1793. [Google Scholar] [CrossRef]
  16. Keshavarz, T.; Roy, I. Polyhydroxyalkanoates: Bioplastics with a green agenda. Curr. Opin. Microbiol. 2010, 13, 321–326. [Google Scholar] [CrossRef] [PubMed]
  17. Poli, A.; Di Donato, P.; Abbamondi, G.R.; Nicolaus, B. Synthesis, Production, and Biotechnological Applications of Exopolysaccharides and Polyhydroxyalkanoates by Archaea. Archaea 2011, 2011, 693253. [Google Scholar] [CrossRef] [PubMed]
  18. Chanprateep, S. Current trends in biodegradable polyhydroxyalkanoates. J. Biosci. Bioeng. 2010, 110, 621–632. [Google Scholar] [CrossRef] [PubMed]
  19. Khanna, S.; Srivastava, A.K. Recent advances in microbial polyhydroxyalkanoates. Process Biochem. 2005, 40, 607–619. [Google Scholar] [CrossRef]
  20. Noda, I.; Lindsey, S.B.; Caraway, D. Nodax™ Class PHA Copolymers: Their Properties and Applications. In Plastics from Bacteria; Chen, G.G.-Q., Ed.; Springer: Berlin/Heidelberg, Geramny, 2010; Volume 14, pp. 237–255. ISBN 978-3-642-03286-8. [Google Scholar]
  21. Braunegg, G.; Lefebvre, G.; Genser, K.F. Polyhydroxyalkanoates, biopolyesters from renewable resources: Physiological and engineering aspects. J. Biotechnol. 1998, 65, 127–161. [Google Scholar] [CrossRef]
  22. Laycock, B.; Halley, P.; Pratt, S.; Werker, A.; Lant, P. The chemomechanical properties of microbial polyhydroxyalkanoates. Prog. Polym. Sci. 2013, 38, 536–583. [Google Scholar] [CrossRef]
  23. Akaraonye, E.; Keshavarz, T.; Roy, I. Production of polyhydroxyalkanoates: The future green materials of choice. J. Chem. Technol. Biotechnol. 2010, 85, 732–743. [Google Scholar] [CrossRef]
  24. Chen, G.-Q. A microbial polyhydroxyalkanoates (PHA) based bio- and materials industry. Chem. Soc. Rev. 2009, 38, 2434. [Google Scholar] [CrossRef] [PubMed]
  25. Dietrich, K.; Dumont, M.-J.; Del Rio, L.F.; Orsat, V. Producing PHAs in the bioeconomy—Towards a sustainable bioplastic. Sustain. Prod. Consum. 2017, 9, 58–70. [Google Scholar] [CrossRef]
  26. Harding, K.; Dennis, J.; Vonblottnitz, H.; Harrison, S. Environmental analysis of plastic production processes: Comparing petroleum-based polypropylene and polyethylene with biologically-based poly-β-hydroxybutyric acid using life cycle analysis. J. Biotechnol. 2007, 130, 57–66. [Google Scholar] [CrossRef] [PubMed]
  27. Shahzad, K.; Kettl, K.-H.; Titz, M.; Koller, M.; Schnitzer, H.; Narodoslawsky, M. Comparison of ecological footprint for biobased PHA production from animal residues utilizing different energy resources. Clean Technol. Environ. Policy 2013, 15, 525–536. [Google Scholar] [CrossRef]
  28. Akiyama, M.; Tsuge, T.; Doi, Y. Environmental life cycle comparison of polyhydroxyalkanoates produced from renewable carbon resources by bacterial fermentation. Polym. Degrad. Stab. 2003, 80, 183–194. [Google Scholar] [CrossRef]
  29. Gurieff, N.; Lant, P. Comparative life cycle assessment and financial analysis of mixed culture polyhydroxyalkanoate production. Bioresour. Technol. 2007, 98, 3393–3403. [Google Scholar] [CrossRef] [PubMed]
  30. Kendall, A. A life cycle assessment of biopolymer production from material recovery facility residuals. Resour. Conserv. Recycl. 2012, 61, 69–74. [Google Scholar] [CrossRef]
  31. Lynd, L.R.; Wang, M.Q. A Product-Nonspecific Framework for Evaluating the Potential of Biomass-Based Products to Displace Fossil Fuels. J. Ind. Ecol. 2003, 7, 17–32. [Google Scholar] [CrossRef] [Green Version]
  32. Khoo, H.H.; Tan, R.B.H. Environmental impacts of conventional plastic and bio-based carrier bags: Part 2: End-of-life options. Int. J. Life Cycle Assess. 2010, 15, 338–345. [Google Scholar] [CrossRef]
  33. Yates, M.R.; Barlow, C.Y. Life cycle assessments of biodegradable, commercial biopolymers—A critical review. Resour. Conserv. Recycl. 2013, 78, 54–66. [Google Scholar] [CrossRef]
  34. Koller, M.; Sandholzer, D.; Salerno, A.; Braunegg, G.; Narodoslawsky, M. Biopolymer from industrial residues: Life cycle assessment of poly(hydroxyalkanoates) from whey. Resour. Conserv. Recycl. 2013, 73, 64–71. [Google Scholar] [CrossRef]
  35. Aeschelmann, F.; Carus, M. Biobased Building Blocks and Polymers in the World: Capacities, Production, and Applications–Status Quo and Trends Towards 2020. Ind. Biotechnol. 2015, 11, 154–159. [Google Scholar] [CrossRef]
  36. Kourmentza, C.; Plácido, J.; Venetsaneas, N.; Burniol-Figols, A.; Varrone, C.; Gavala, H.N.; Reis, M.A.M. Recent advances and challenges towards sustainable polyhydroxyalkanoate (PHA) production. Bioengineering 2017, 4, 55. [Google Scholar] [CrossRef] [PubMed]
  37. Możejko-Ciesielska, J.; Kiewisz, R. Bacterial polyhydroxyalkanoates: Still fabulous? Microbiol. Res. 2016, 192, 271–282. [Google Scholar] [CrossRef] [PubMed]
  38. Koller, M.; Maršálek, L.; de Sousa Dias, M.M.; Braunegg, G. Producing microbial polyhydroxyalkanoate (PHA) biopolyesters in a sustainable manner. New Biotechnol. 2017, 37, 24–38. [Google Scholar] [CrossRef] [PubMed]
  39. Rodriguez-Perez, S.; Serrano, A.; Pantión, A.A.; Alonso-Fariñas, B. Challenges of scaling-up PHA production from waste streams. A review. J. Environ. Manag. 2018, 205, 215–230. [Google Scholar] [CrossRef] [PubMed]
  40. Salehizadeh, H.; Van Loosdrecht, M.C.M. Production of polyhydroxyalkanoates by mixed culture: Recent trends and biotechnological importance. Biotechnol. Adv. 2004, 22, 261–279. [Google Scholar] [CrossRef] [PubMed]
  41. Du, C.; Sabirova, J.; Soetaert, W.; Ki Carol Lin, S. Polyhydroxyalkanoates production from low-cost sustainable raw materials. Curr. Chem. Biol. 2012, 6, 14–25. [Google Scholar] [CrossRef]
  42. Fu, J.; Sharma, U.; Sparling, R.; Cicek, N.; Levin, D.B. Evaluation of medium-chain-length polyhydroxyalkanoate production by Pseudomonas putida LS46 using biodiesel by-product streams. Can. J. Microbiol. 2014, 60, 461–468. [Google Scholar] [CrossRef] [PubMed]
  43. Jiang, G.; Hill, D.; Kowalczuk, M.; Johnston, B.; Adamus, G.; Irorere, V.; Radecka, I. Carbon sources for polyhydroxyalkanoates and an integrated biorefinery. Int. J. Mol. Sci. 2016, 17, 1157. [Google Scholar] [CrossRef] [PubMed]
  44. Nikodinovic-Runic, J.; Guzik, M.; Kenny, S.T.; Babu, R.; Werker, A.; O Connor, K.E. Carbon-rich wastes as feedstocks for biodegradable polymer (polyhydroxyalkanoate) production using bacteria. In Advances in Applied Microbiology; Elsevier: New York, NY, USA, 2013; Volume 84, pp. 139–200. ISBN 978-0-12-407673-0. [Google Scholar]
  45. Kaur, G.; Roy, I. Strategies for Large-scale Production of Polyhydroxyalkanoates. Chem. Biochem. Eng. Q. 2015, 29, 157–172. [Google Scholar] [CrossRef]
  46. Koller, M. A Review on Established and Emerging Fermentation Schemes for Microbial Production of Polyhydroxyalkanoate (PHA) Biopolyesters. Fermentation 2018, 4, 30. [Google Scholar] [CrossRef]
  47. Ienczak, J.L.; Schmidell, W.; de Aragão, G.M.F. High-cell-density culture strategies for polyhydroxyalkanoate production: A review. J. Ind. Microbiol. Biotechnol. 2013, 40, 275–286. [Google Scholar] [CrossRef] [PubMed]
  48. Maclean, H.; Sun, Z.; Ramsay, J.; Ramsay, B. Decaying exponential feeding of nonanoic acid for the production of medium-chain-length poly(3-hydroxyalkanoates) by Pseudomonas putida KT2440. Can. J. Chem. 2008, 86, 564–569. [Google Scholar] [CrossRef]
  49. Wang, F.; Lee, S.Y. Poly(3-hydroxybutyrate) production with high productivity and high polymer content by a fed-batch culture of Alcaligenes latus under nitrogen limitation. Appl. Environ. Microbiol. 1997, 63, 3703–3706. [Google Scholar] [PubMed]
  50. Koller, M.; Muhr, A. Continuous production mode as a viable process-engineering tool for efficient poly(hydroxyalkanoate) (PHA) bio-production. Chem. Biochem. Eng. Q. 2014, 28, 65–77. [Google Scholar]
  51. Choi, J.; Lee, S.Y. Factors affecting the economics of polyhydroxyalkanoate production by bacterial fermentation. Appl. Microbiol. Biotechnol. 1999, 51, 13–21. [Google Scholar] [CrossRef]
  52. De Koning, G.J.M.; Kellerhals, M.; van Meurs, C.; Witholt, B. A process for the recovery of poly(hydroxyalkanoates) from Pseudomonads Part 2: Process development and economic evaluation. Bioprocess Eng. 1997, 17, 15–21. [Google Scholar] [CrossRef]
  53. Wang, F.; Lee, S.Y. Production of poly(3-hydroxybutyrate) by fed-batch culture of filamentation-suppressed recombinant Escherichia coli. Appl. Environ. Microbiol. 1997, 63, 4765–4769. [Google Scholar] [PubMed]
  54. Yamane, T.; Fukunaga, M.; Lee, Y.W. Increased PHB productivity by high-cell-density fed-batch culture of Alcaligenes latus, a growth-associated PHB producer. Biotechnol. Bioeng. 1996, 50, 197–202. [Google Scholar] [CrossRef]
  55. Sun, Z.; Ramsay, J.A.; Guay, M.; Ramsay, B.A. Carbon-limited fed-batch production of medium-chain-length polyhydroxyalkanoates from nonanoic acid by Pseudomonas putida KT2440. Appl. Microbiol. Biotechnol. 2007, 74, 69–77. [Google Scholar] [CrossRef] [PubMed]
  56. Sun, Z.; Ramsay, J.; Guay, M.; Ramsay, B. Enhanced yield of medium-chain-length polyhydroxyalkanoates from nonanoic acid by co-feeding glucose in carbon-limited, fed-batch culture. J. Biotechnol. 2009, 143, 262–267. [Google Scholar] [CrossRef] [PubMed]
  57. Kim, B.S.; Lee, S.C.; Lee, S.Y.; Chang, H.N.; Chang, Y.K.; Woo, S.I. Production of poly(3-hydroxybutyric acid) by fed-batch culture of Alcaligenes eutrophus with glucose concentration control. Biotechnol. Bioeng. 1994, 43, 892–898. [Google Scholar] [CrossRef] [PubMed]
  58. Lee, S.H.; Oh, D.H.; Ahn, W.S.; Lee, Y.; Choi, J.; Lee, S.Y. Production of poly(3-hydroxybutyrate-co-3-hydroxyhexanoate) by high-cell-density cultivation of Aeromonas hydrophila. Biotechnol. Bioeng. 2000, 67, 240–244. [Google Scholar] [CrossRef]
  59. Jiang, X.; Sun, Z.; Ramsay, J.A.; Ramsay, B.A. Fed-batch production of MCL-PHA with elevated 3-hydroxynonanoate content. AMB Express 2013, 3, 50. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  60. Gao, J.; Ramsay, J.A.; Ramsay, B.A. Fed-batch production of poly-3-hydroxydecanoate from decanoic acid. J. Biotechnol. 2016, 218, 102–107. [Google Scholar] [CrossRef] [PubMed]
  61. Davis, R.; Duane, G.; Kenny, S.T.; Cerrone, F.; Guzik, M.W.; Babu, R.P.; Casey, E.; O’Connor, K.E. High cell density cultivation of Pseudomonas putida KT2440 using glucose without the need for oxygen enriched air supply. Biotechnol. Bioeng. 2015, 112, 725–733. [Google Scholar] [CrossRef] [PubMed]
  62. Cerrone, F.; Duane, G.; Casey, E.; Davis, R.; Belton, I.; Kenny, S.T.; Guzik, M.W.; Woods, T.; Babu, R.P.; O’Connor, K. Fed-batch strategies using butyrate for high cell density cultivation of Pseudomonas putida and its use as a biocatalyst. Appl. Microbiol. Biotechnol. 2014, 98, 9217–9228. [Google Scholar] [CrossRef] [PubMed]
  63. Kim, G.J.; Lee, I.Y.; Yoon, S.C.; Shin, Y.C.; Park, Y.H. Enhanced yield and a high production of medium-chain-length poly(3-hydroxyalkanoates) in a two-step fed-batch cultivation of Pseudomonas putida by combined use of glucose and octanoate. Enzyme Microb. Technol. 1997, 20, 500–505. [Google Scholar] [CrossRef]
  64. Haywood, G.W.; Anderson, A.J.; Ewing, D.F.; Dawes, E.A. Accumulation of a polyhydroxyalkanoate containing primarily 3-hydroxydecanoate from simple carbohydrate substrates by Pseudomonas sp. strain NCIMB 40135. Appl. Environ. Microbiol. 1990, 45, 3354–3359. [Google Scholar]
  65. Huijberts, G.N.M.; Eggink, G.; de Waard, P.; Huisman, G.W.; Witholt, B. Pseudomonas putida KT2442 cultivated on glucose accumulates poly(3-hydroxyalkanoates) consisting of saturated and unsaturated monomers. Appl. Microbiol. Biotechnol. 1992, 58, 536–544. [Google Scholar]
  66. Lageveen, R.G.; Huisman, G.W.; Preusting, H.; Ketelaar, P.; Eggink, G.; Witholt, B. Formation of polyesters by Pseudomonas oleovorans: Effect of substrates on formation and composition of poly-(R)-3-hydroxyalkanoates and poly-(R)-3-hydroxyalkenoates. Appl. Environ. Microbiol. 1988, 54, 2924–2932. [Google Scholar] [PubMed]
  67. Poblete-Castro, I.; Rodriguez, A.L.; Lam, C.M.C.; Kessler, W. Improved production of medium-chain-length polyhydroxyalkanoates in glucose-based fed-batch cultivations of metabolically engineered Pseudomonas putida strains. J. Microbiol. Biotechnol. 2014, 24, 59–69. [Google Scholar] [CrossRef] [PubMed]
  68. Poblete-Castro, I.; Binger, D.; Oehlert, R.; Rohde, M. Comparison of mcl-poly(3-hydroxyalkanoates) synthesis by different Pseudomonas putida strains from crude glycerol: Citrate accumulates at high titer under PHA-producing conditions. BMC Biotechnol. 2014, 14, 962. [Google Scholar] [CrossRef] [PubMed]
  69. Diniz, S.C.; Taciro, M.K.; Gomez, J.G.C.; da Cruz Pradella, J.G. High cell density cultivation of Pseudomonas putida IPT 046 and medium chain-length polyhydroxyalkanoate production from sugarcane carbohydrates. Appl. Biochem. Biotechnol. 2004, 119, 51–70. [Google Scholar] [CrossRef]
  70. Preusting, H.; van Houten, R.; Hoefs, A.; van Langenberghe, E.K.; Favre-Bulle, O.; Witholt, B. High cell density cultivation of Pseudomonas oleovorans: Growth and production of poly (3-hydroxyalkanoates) in two-liquid phase batch and fed-batch systems. Biotechnol. Bioeng. 1993, 41, 550–556. [Google Scholar] [CrossRef] [PubMed]
  71. Hazenberg, W.; Witholt, B. Efficient production of medium-chain-length poly(3-hydroxyalkanoates) from octane by Pseudomonas oleovorans: Economic considerations. Appl. Microbiol. Biotechnol. 1997, 48, 588–596. [Google Scholar] [CrossRef]
  72. Dufresne, A.; Samain, E. Preparation and characterization of a poly(β-hydroxyoctanoate) latex produced by Pseudomonas oleovorans. Macromolecules 1998, 31, 6426–6433. [Google Scholar] [CrossRef]
  73. Kellerhals, M.B.; Kessler, B.; Witholt, B. Closed-loop control of bacterial high-cell-density fed-batch cultures: Production of mcl-PHAs by Pseudomonas putida KT2442 under single-substrate and cofeeding conditions. Biotechnol. Bioeng. 1999, 65, 306–315. [Google Scholar] [CrossRef]
  74. Kellerhals, M.B.; Hazenberg, W.; Witholt, B. High cell density fermentations of Pseudomonas oleovorans for the production of mcl-PHAs in two-liquid phase media. Enzyme Microb. Technol. 1999, 24, 111–116. [Google Scholar] [CrossRef]
  75. Lee, S.Y.; Wong, H.H.; Choi, J.; Lee, S.H.; Lee, S.C.; Han, C.S. Production of medium-chain-length polyhydroxyalkanoates by high-cell-density cultivation of Pseudomonas putida under phosphorus limitation. Biotechnol. Bioeng. 2000, 68, 466–470. [Google Scholar] [CrossRef]
  76. Kim, B.S. Production of medium chain length polyhydroxyalkanoates by fed-batch culture of Pseudomonas oleovorans. Biotechnol. Lett. 2002, 24, 125–130. [Google Scholar] [CrossRef]
  77. Shang, L.; Jiang, M.; Yun, Z.; Yan, H.-Q.; Chang, H.-N. Mass production of medium-chain-length poly(3-hydroxyalkanoates) from hydrolyzed corn oil by fed-batch culture of Pseudomonas putida. World J. Microbiol. Biotechnol. 2008, 24, 2783–2787. [Google Scholar] [CrossRef]
  78. Sun, Z.; Ramsay, J.A.; Guay, M.; Ramsay, B.A. Fed-batch production of unsaturated medium-chain-length polyhydroxyalkanoates with controlled composition by Pseudomonas putida KT2440. Appl. Microbiol. Biotechnol. 2009, 82, 657–662. [Google Scholar] [CrossRef] [PubMed]
  79. Andin, N.; Longieras, A.; Veronese, T.; Marcato, F.; Molina-Jouve, C.; Uribelarrea, J.-L. Improving carbon and energy distribution by coupling growth and medium chain length polyhydroxyalkanoate production from fatty acids by Pseudomonas putida KT2440. Biotechnol. Bioprocess Eng. 2017, 22, 308–318. [Google Scholar] [CrossRef]
  80. Suzuki, T.; Yamane, T.; Shimizu, S. Mass production of poly-β-hydroxybutyric acid by fed-batch culture with controlled carbon/nitrogen feeding. Appl. Microbiol. Biotechnol. 1986, 24, 370–374. [Google Scholar] [CrossRef]
  81. Kim, B.S.; Lee, S.Y.; Chang, H.N. Production of poly-β-hydroxybutyrate by fed-batch culture of recombinant Escherichia coli. Biotechnol. Lett. 1992, 14, 811–816. [Google Scholar] [CrossRef]
  82. Kim, S.W.; Kim, P.; Lee, H.S.; Kim, J.H. High production of poly-β-hydroxybutyrate (PHB) from Methylobacterium organophilum under potassium limitation. Biotechnol. Lett. 1996, 18, 25–30. [Google Scholar] [CrossRef]
  83. Bourque, D.; Pomerleau, Y.; Groleau, D. High-cell-density production of poly-β-hydroxybutyrate (PHB) from methanol by Methylobacterium extorquens: Production of high-molecular-mass PHB. Appl. Microbiol. Biotechnol. 1995, 44, 367–376. [Google Scholar] [CrossRef]
  84. Ryu, H.W.; Hahn, S.K.; Chang, Y.K.; Chang, H.N. Production of poly(3-hydroxybutyrate) by high cell density fed-batch culture of Alcaligenes eutrophus with phospate limitation. Biotechnol. Bioeng. 1997, 55, 28–32. [Google Scholar] [CrossRef]
  85. Choi, J.; Lee, S.Y.; Han, K. Cloning of the Alcaligenes latus polyhydroxyalkanoate biosynthesis genes and use of these genes for enhanced production of poly(3-hydroxybutyrate) in Escherichia coli. Appl. Environ. Microbiol. 1998, 64, 4897–4903. [Google Scholar]
  86. Wang, F.; Lee, S.Y. High cell density culture of metabolically engineered Escherichia coli for the production of poly(3-hydroxybutyrate) in a defined medium. Biotechnol. Bioeng. 1998, 58, 325–328. [Google Scholar] [CrossRef]
  87. Wong, H.H.; Lee, S.Y. Poly-(3-hydroxybutyrate) production from whey by high-density cultivation of recombinant Escherichia coli. Appl. Microbiol. Biotechnol. 1998, 50, 30–33. [Google Scholar] [CrossRef] [PubMed]
  88. Shang, L.; Jiang, M.; Chang, H.N. Poly(3-hydroxybutyrate) synthesis in fed-batch culture of Ralstonia eutropha with phosphate limitation under different glucose concentrations. Biotechnol. Lett. 2003, 25, 1415–1419. [Google Scholar] [CrossRef] [PubMed]
  89. Quillaguamán, J.; Doan-Van, T.; Guzmán, H.; Guzmán, D.; Martín, J.; Everest, A.; Hatti-Kaul, R. Poly(3-hydroxybutyrate) production by Halomonas boliviensis in fed-batch culture. Appl. Microbiol. Biotechnol. 2008, 78, 227–232. [Google Scholar] [CrossRef] [PubMed]
  90. Cavalheiro, J.M.B.T.; de Almeida, M.C.M.D.; Grandfils, C.; da Fonseca, M.M.R. Poly(3-hydroxybutyrate) production by Cupriavidus necator using waste glycerol. Process Biochem. 2009, 44, 509–515. [Google Scholar] [CrossRef]
  91. Ibrahim, M.H.A.; Steinbuchel, A. Poly(3-hydroxybutyrate) production from glycerol by Zobellella denitrificans MW1 via high-cell-density fed-batch fermentation and simplified solvent extraction. Appl. Environ. Microbiol. 2009, 75, 6222–6231. [Google Scholar] [CrossRef] [PubMed]
  92. Chanprateep, S.; Buasri, K.; Muangwong, A.; Utiswannakul, P. Biosynthesis and biocompatibility of biodegradable poly(3-hydroxybutyrate-co-4-hydroxybutyrate). Polym. Degrad. Stab. 2010, 95, 2003–2012. [Google Scholar] [CrossRef]
  93. Da Cruz Pradella, J.G.; Taciro, M.K.; Mateus, A.Y.P. High-cell-density poly (3-hydroxybutyrate) production from sucrose using Burkholderia sacchari culture in airlift bioreactor. Bioresour. Technol. 2010, 101, 8355–8360. [Google Scholar] [CrossRef] [PubMed]
  94. Da Cruz Pradella, J.G.; Ienczak, J.L.; Delgado, C.R.; Taciro, M.K. Carbon source pulsed feeding to attain high yield and high productivity in poly(3-hydroxybutyrate) (PHB) production from soybean oil using Cupriavidus necator. Biotechnol. Lett. 2012, 34, 1003–1007. [Google Scholar] [CrossRef] [PubMed]
  95. Riedel, S.L.; Bader, J.; Brigham, C.J.; Budde, C.F.; Yusof, Z.A.M.; Rha, C.; Sinskey, A.J. Production of poly(3-hydroxybutyrate-co-3-hydroxyhexanoate) by Ralstonia eutropha in high cell density palm oil fermentations. Biotechnol. Bioeng. 2012, 109, 74–83. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  96. Grousseau, E.; Blanchet, E.; Déléris, S.; Albuquerque, M.G.E.; Paul, E.; Uribelarrea, J.-L. Impact of sustaining a controlled residual growth on polyhydroxybutyrate yield and production kinetics in Cupriavidus necator. Bioresour. Technol. 2013, 148, 30–38. [Google Scholar] [CrossRef] [PubMed]
  97. Kanjanachumpol, P.; Kulpreecha, S.; Tolieng, V.; Thongchul, N. Enhancing polyhydroxybutyrate production from high cell density fed-batch fermentation of Bacillus megaterium BA-019. Bioprocess Biosyst. Eng. 2013, 36, 1463–1474. [Google Scholar] [CrossRef] [PubMed]
  98. Cesário, M.T.; Raposo, R.S.; de Almeida, M.C.M.D.; van Keulen, F.; Ferreira, B.S.; da Fonseca, M.M.R. Enhanced bioproduction of poly-3-hydroxybutyrate from wheat straw lignocellulosic hydrolysates. New Biotechnol. 2014, 31, 104–113. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  99. Kachrimanidou, V.; Kopsahelis, N.; Papanikolaou, S.; Kookos, I.K.; De Bruyn, M.; Clark, J.H.; Koutinas, A.A. Sunflower-based biorefinery: Poly(3-hydroxybutyrate) and poly(3-hydroxybutyrate-co-3-hydroxyvalerate) production from crude glycerol, sunflower meal and levulinic acid. Bioresour. Technol. 2014, 172, 121–130. [Google Scholar] [CrossRef] [PubMed]
  100. Mozumder, M.S.I.; De Wever, H.; Volcke, E.I.P.; Garcia-Gonzalez, L. A robust fed-batch feeding strategy independent of the carbon source for optimal polyhydroxybutyrate production. Process Biochem. 2014, 49, 365–373. [Google Scholar] [CrossRef]
  101. Huschner, F.; Grousseau, E.; Brigham, C.J.; Plassmeier, J.; Popovic, M.; Rha, C.; Sinskey, A.J. Development of a feeding strategy for high cell and PHA density fed-batch fermentation of Ralstonia eutropha H16 from organic acids and their salts. Process Biochem. 2015, 50, 165–172. [Google Scholar] [CrossRef]
  102. Thinagaran, L.; Sudesh, K. Evaluation of sludge palm oil as feedstock and development of efficient method for its utilization to produce polyhydroxyalkanoate. Waste Biomass Valoriz. 2017. [Google Scholar] [CrossRef]
  103. Miranda De Sousa Dias, M.; Koller, M.; Puppi, D.; Morelli, A.; Chiellini, F.; Braunegg, G. Fed-batch synthesis of poly(3-hydroxybutyrate) and poly(3-hydroxybutyrate-co-4-hydroxybutyrate) from sucrose and 4-hydroxybutyrate precursors by Burkholderia sacchari strain DSM 17165. Bioengineering 2017, 4, 36. [Google Scholar] [CrossRef] [PubMed]
  104. Harms, P.; Kostov, Y.; Rao, G. Bioprocess monitoring. Curr. Opin. Biotechnol. 2002, 13, 124–127. [Google Scholar] [CrossRef]
  105. Riesenberg, D.; Guthke, R. High-cell-density cultivation of microorganisms. Appl. Microbiol. Biotechnol. 1999, 51, 422–430. [Google Scholar] [CrossRef] [PubMed]
  106. Lee, J.; Lee, S.Y.; Park, S.; Middelberg, A.P.J. Control of fed-batch fermentations. Biotechnol. Adv. 1999, 17, 29–48. [Google Scholar] [CrossRef]
  107. Sun, Z.; Ramsay, J.A.; Guay, M.; Ramsay, B.A. Automated feeding strategies for high-cell-density fed-batch cultivation of Pseudomonas putida KT2440. Appl. Microbiol. Biotechnol. 2006, 71, 423–431. [Google Scholar] [CrossRef] [PubMed]
  108. Follonier, S.; Riesen, R.; Zinn, M. Pilot-scale production of functionalized mcl-PHA from grape pomace supplemented with fatty acids. Chem. Biochem. Eng. Q. 2015, 29, 113–121. [Google Scholar] [CrossRef]
  109. Kellerhals, M.B.; Kessler, B.; Witholt, B.; Tchouboukov, A.; Brandl, H. Renewable long-chain fatty acids for production of biodegradable medium-chain-length polyhydroxyalkanoates (mcl-PHAs) at laboratory and pilot plant scales. Macromolecules 2000, 33, 4690–4698. [Google Scholar] [CrossRef]
  110. Możejko, J.; Ciesielski, S. Pulsed feeding strategy is more favorable to medium-chain-length polyhydroxyalkanoates production from waste rapeseed oil. Biotechnol. Prog. 2014, 30, 1243–1246. [Google Scholar] [CrossRef] [PubMed]
  111. Lee, S.Y. Plastic bacteria? Progress and prospects for polyhydroxyalkanoate production in bacteria. Trends Biotechnol. 1996, 14, 431–438. [Google Scholar] [CrossRef]
  112. Elbahloul, Y.; Steinbuchel, A. Large-scale production of poly(3-hydroxyoctanoic acid) by Pseudomonas putida GPo1 and a simplified downstream process. Appl. Environ. Microbiol. 2009, 75, 643–651. [Google Scholar] [CrossRef] [PubMed]
  113. Garcia-Ochoa, F.; Gomez, E. Bioreactor scale-up and oxygen transfer rate in microbial processes: An overview. Biotechnol. Adv. 2009, 27, 153–176. [Google Scholar] [CrossRef] [PubMed]
  114. Pratt, S.; Yuan, Z.; Gapes, D.; Dorigo, M.; Zeng, R.J.; Keller, J. Development of a novel titration and off-gas analysis (TOGA) sensor for study of biological processes in wastewater treatment systems. Biotechnol. Bioeng. 2003, 81, 482–495. [Google Scholar] [CrossRef] [PubMed]
  115. Follonier, S.; Henes, B.; Panke, S.; Zinn, M. Putting cells under pressure: A simple and efficient way to enhance the productivity of medium-chain-length polyhydroxyalkanoate in processes with Pseudomonas putida KT2440. Biotechnol. Bioeng. 2012, 109, 451–461. [Google Scholar] [CrossRef] [PubMed]
  116. Lopes, M.; Belo, I.; Mota, M. Over-pressurized bioreactors: Application to microbial cell cultures. Biotechnol. Prog. 2014, 30, 767–775. [Google Scholar] [CrossRef] [PubMed]
  117. Lopes, M.; Mota, M.; Belo, I. Oxygen mass transfer rate in a pressurized lab-scale stirred bioreactor. Chem. Eng. Technol. 2013, 36, 1779–1784. [Google Scholar] [CrossRef] [Green Version]
  118. Inan, K.; Sal, F.A.; Rahman, A.; Putman, R.J.; Agblevor, F.A.; Miller, C.D. Microbubble assisted polyhydroxybutyrate production in Escherichia coli. BMC Res. Notes 2016, 9, 338. [Google Scholar] [CrossRef] [PubMed]
  119. Baker, J.J.; Crivellari, F.; Gagnon, Z.; Betenbaugh, M.J. Microfluidic bubbler facilitates near complete mass transfer for sustainable multiphase and microbial processing: Microfluidic Bubbler Facilitates Mass Transfer. Biotechnol. Bioeng. 2016, 113, 1924–1933. [Google Scholar] [CrossRef] [PubMed]
  120. Olle, B.; Bucak, S.; Holmes, T.C.; Bromberg, L.; Hatton, T.A.; Wang, D.I.C. Enhancement of Oxygen Mass Transfer Using Functionalized Magnetic Nanoparticles. Ind. Eng. Chem. Res. 2006, 45, 4355–4363. [Google Scholar] [CrossRef]
  121. Kundu, A.; Dumont, E.; Duquenne, A.-M.; Delmas, H. Mass Transfer Characteristics in Gas-liquid-liquid System. Can. J. Chem. Eng. 2008, 81, 640–646. [Google Scholar] [CrossRef]
  122. Gomes, N.; Aguedo, M.; Teixeira, J.; Belo, I. Oxygen mass transfer in a biphasic medium: Influence on the biotransformation of methyl ricinoleate into γ-decalactone by the yeast Yarrowia lipolytica. Biochem. Eng. J. 2007, 35, 380–386. [Google Scholar] [CrossRef] [Green Version]
  123. Dumont, E.; Andrès, Y.; Le Cloirec, P. Effect of organic solvents on oxygen mass transfer in multiphase systems: Application to bioreactors in environmental protection. Biochem. Eng. J. 2006, 30, 245–252. [Google Scholar] [CrossRef]
  124. Dumont, E.; Delmas, H. Mass transfer enhancement of gas absorption in oil-in-water systems: A review. Chem. Eng. Process. Process Intensif. 2003, 42, 419–438. [Google Scholar] [CrossRef]
  125. Rols, J.L.; Goma, G. Enhanced oxygen transfer rates in fermentation using soybean oil-in-water dispersions. Biotechnol. Lett. 1991, 13, 7–12. [Google Scholar] [CrossRef]
  126. Jia, S.; Chen, G.; Kahar, P.; Choi, D.B.; Okabe, M. Effect of soybean oil on oxygen transfer in the production of tetracycline with an airlift bioreactor. J. Biosci. Bioeng. 1999, 87, 825–827. [Google Scholar] [CrossRef]
  127. Wei, X.-X.; Shi, Z.-Y.; Yuan, M.-Q.; Chen, G.-Q. Effect of anaerobic promoters on the microaerobic production of polyhydroxybutyrate (PHB) in recombinant Escherichia coli. Appl. Microbiol. Biotechnol. 2009, 82, 703–712. [Google Scholar] [CrossRef] [PubMed]
  128. Schmitz, S.; Nies, S.; Wierckx, N.; Blank, L.M.; Rosenbaum, M.A. Engineering mediator-based electroactivity in the obligate aerobic bacterium Pseudomonas putida KT2440. Front. Microbiol. 2015, 6, 284. [Google Scholar] [CrossRef] [PubMed]
  129. Li, X.; Li, P.; Zu, L.; Yang, C. Gas-Liquid Mass Transfer Characteristics with Microbubble Aeration—I. Standard Stirred Tank. Chem. Eng. Technol. 2016, 39, 945–952. [Google Scholar] [CrossRef]
  130. Liu, C.; Tanaka, H.; Zhang, L.; Zhang, J.; Huang, X.; Ma, J.; Matsuzawa, Y. Fouling and structural changes of Shirasu porous glass (SPG) membrane used in aerobic wastewater treatment process for microbubble aeration. J. Membr. Sci. 2012, 421–422, 225–231. [Google Scholar] [CrossRef]
  131. Byrom, D. Production of poly-β-hydroxybutyrate: Poly-β-hydroxyvalerate copolymers. FEMS Microbiol. Lett. 1992, 103, 247–250. [Google Scholar] [CrossRef]
  132. Garcia-Ochoa, F.; Gomez, E.; Santos, V.E.; Merchuk, J.C. Oxygen uptake rate in microbial processes: An overview. Biochem. Eng. J. 2010, 49, 289–307. [Google Scholar] [CrossRef]
  133. Lara, A.R.; Galindo, E.; Ramírez, O.T.; Palomares, L.A. Living with heterogeneities in bioreactors. Mol. Biotechnol. 2006, 34, 355–381. [Google Scholar] [CrossRef]
  134. Junker, B.H. Scale-up methodologies for Escherichia coli and yeast fermentation processes. J. Biosci. Bioeng. 2004, 97, 347–364. [Google Scholar] [CrossRef]
  135. Schmidt, F.R. Optimization and scale up of industrial fermentation processes. Appl. Microbiol. Biotechnol. 2005, 68, 425–435. [Google Scholar] [CrossRef] [PubMed]
  136. Nath, A.; Dixit, M.; Bandiya, A.; Chavda, S.; Desai, A.J. Enhanced PHB production and scale up studies using cheese whey in fed batch culture of Methylobacterium sp. ZP24. Bioresour. Technol. 2008, 99, 5749–5755. [Google Scholar] [CrossRef] [PubMed]
  137. Chen, G.Q.; Zhang, G.; Park, S.; Lee, S.Y. Industrial scale production of poly(3-hydroxybutyrate-co-3-hydroxyhexanoate). Appl. Microbiol. Biotechnol. 2001, 57, 50–55. [Google Scholar] [CrossRef] [PubMed]
  138. Gorenflo, V.; Schmack, G.; Vogel, R.; Steinbüchel, A. Development of a process for the biotechnological large-scale production of 4-hydroxyvalerate-containing polyesters and characterization of their physical and mechanical properties. Biomacromolecules 2001, 2, 45–57. [Google Scholar] [CrossRef] [PubMed]
  139. Choi, J.; Lee, S.Y.; Shin, K.; Lee, W.G.; Park, S.J.; Chang, H.N.; Chang, Y.K. Pilot scale production of poly(3-hydroxybutyrate-co-3-hydroxy-valerate) by fed-batch culture of recombinant Escherichia coli. Biotechnol. Bioprocess Eng. 2002, 7, 371–374. [Google Scholar] [CrossRef]
  140. Park, S.J.; Park, J.P.; Lee, S.Y. Production of poly(3-hydroxybutyrate) from whey by fed-batch culture of recombinant Escherichia coli in a pilot-scale fermenter. Biotechnol. Lett. 2002, 24, 185–189. [Google Scholar] [CrossRef]
  141. Shang, L.; Jiang, M.; Ryu, C.H.; Chang, H.N.; Cho, S.H.; Lee, J.W. Inhibitory effect of carbon dioxide on the fed-batch culture of Ralstonia eutropha: Evaluation by CO2 pulse injection and autogenous CO2 methods. Biotechnol. Bioeng. 2003, 83, 312–320. [Google Scholar] [CrossRef] [PubMed]
  142. Zhu, C.; Nomura, C.T.; Perrotta, J.A.; Stipanovic, A.J.; Nakas, J.P. Production and characterization of poly-3-hydroxybutyrate from biodiesel-glycerol by Burkholderia cepacia ATCC 17759. Biotechnol. Prog. 2009. [Google Scholar] [CrossRef] [PubMed]
  143. Heinrich, D.; Madkour, M.H.; Al-Ghamdi, M.A.; Shabbaj, I.I.; Steinbüchel, A. Large scale extraction of poly(3-hydroxybutyrate) from Ralstonia eutropha H16 using sodium hypochlorite. AMB Express 2012, 2, 59. [Google Scholar] [CrossRef] [PubMed]
  144. Kshirsagar, P.; Suttar, R.; Nilegaonkar, S.; Kulkarni, S.; Kanekar, P. Scale up production of polyhydroxyalkanoate (PHA) at different aeration, agitation and controlled dissolved oxygen levels in fermenter using Halomonas campisalis MCM B-1027. J. Biochem. Technol. 2012, 4, 512–517. [Google Scholar]
  145. Ye, J.; Huang, W.; Wang, D.; Chen, F.; Yin, J.; Li, T.; Zhang, H.; Chen, G.-Q. Pilot scale-up of poly(3-hydroxybutyrate-co-4-hydroxybutyrate) production by Halomonas bluephagenesis via cell growth adapted optimization process. Biotechnol. J. 2018, 13, 1800074. [Google Scholar] [CrossRef] [PubMed]
  146. Doran, P.M. Bioprocess Engineering Principles, 2nd ed.; Elsevier: Amsterdam, The Netherlands; Academic Press: Boston, MA, USA, 2013; ISBN 978-0-12-220851-5. [Google Scholar]
  147. Du, G.-C.; Chen, J.; Gao, H.-J.; Chen, Y.-G.; Lun, S.-Y. Effects of environmental conditions on cell growth and poly-β-hydroxybutyrate accumulation in Alcaligenes eutrophus. World J. Microbiol. Biotechnol. 2000, 16, 9–13. [Google Scholar] [CrossRef]
  148. Berezina, N. Novel approach for productivity enhancement of polyhydroxyalkanoates (PHA) production by Cupriavidus necator DSM 545. New Biotechnol. 2013, 30, 192–195. [Google Scholar] [CrossRef] [PubMed]
  149. Senior, P.J.; Beech, G.A.; Ritchie, G.A.F.; Dawes, E.A. The role of oxygen limitation in the formation of poly-β-hydroxybutyrate during batch and continuous culture of Azotobacter beijerinckii. Biochem. J. 1972, 128, 1193–1201. [Google Scholar] [CrossRef] [PubMed]
  150. Koller, M.; Braunegg, G. Potential and prospects of continuous polyhydroxyalkanoate (PHA) production. Bioengineering 2015, 2, 94–121. [Google Scholar] [CrossRef] [PubMed]
  151. Sun, Z.; Ramsay, J.A.; Guay, M.; Ramsay, B.A. Fermentation process development for the production of medium-chain-length poly-3-hyroxyalkanoates. Appl. Microbiol. Biotechnol. 2007, 75, 475–485. [Google Scholar] [CrossRef] [PubMed]
  152. Braunegg, G.; Lefebvre, G.; Renner, G.; Zeiser, A.; Haage, G.; Loidl-Lanthaler, K. Kinetics as a tool for polyhydroxyalkanoate production optimization. Can. J. Microbiol. 1995, 41, 239–248. [Google Scholar] [CrossRef]
  153. Hartmann, R.; Hany, R.; Witholt, B.; Zinn, M. Simultaneous Bbosynthesis of two copolymers in Pseudomonas putida GPo1 using a two-stage continuous culture system. Biomacromolecules 2010, 11, 1488–1493. [Google Scholar] [CrossRef] [PubMed]
  154. Huijberts, G.N.M.; Eggink, G. Production of poly(3-hydroxyalkanoates) by Pseudomonas putida KT2442 in continuous cultures. Appl. Microbiol. Biotechnol. 1996, 46, 233–239. [Google Scholar] [CrossRef]
  155. Hartmann, R.; Hany, R.; Pletscher, E.; Ritter, A.; Witholt, B.; Zinn, M. Tailor-made olefinic medium-chain-length poly[(R)-3-hydroxyalkanoates] by Pseudomonas putida GPo1: Batch versus chemostat production. Biotechnol. Bioeng. 2006, 93, 737–746. [Google Scholar] [CrossRef] [PubMed]
  156. Zinn, M.; Durner, R.; Zinn, H.; Ren, Q.; Egli, T.; Witholt, B. Growth and accumulation dynamics of poly(3-hydroxyalkanoate) (PHA) in Pseudomonas putida GPo1 cultivated in continuous culture under transient feed conditions. Biotechnol. J. 2011, 6, 1240–1252. [Google Scholar] [CrossRef] [PubMed]
  157. Koyama, N.; Doi, Y. Continuous production of poly(3-hydroxybutyrate-co-3-hyhroxyvalerate) by Alcaligenes eutrophus. Biotechnol. Lett. 1995, 17, 281–284. [Google Scholar] [CrossRef]
  158. Preusting, H.; Hazenberg, W.; Witholt, B. Continuous production of poly(3-hydroxyalkanoates) by Pseudomonas oleovorans in a high-cell-density, two-liquid-phase chemostat. Enzyme Microb. Technol. 1993, 15, 311–316. [Google Scholar] [CrossRef]
  159. Ramsay, B.A.; Saracovan, I.; Ramsay, J.A.; Marchessault, R.H. Continuous production of long-side-chain poly-3-hydroxyalkanoates by Pseudomonas oleovorans. Appl. Environ. Microbiol. 1991, 57, 625–629. [Google Scholar] [PubMed]
  160. Heijnen, J.J.; Terwisscha van Scheltinga, A.H.; Straathof, A.J. Fundamental bottlenecks in the application of continuous bioprocesses. J. Biotechnol. 1992, 22, 3–20. [Google Scholar] [CrossRef]
  161. Zinn, M.; Witholt, B.; Egli, T. Occurrence, synthesis and medical application of bacterial polyhydroxyalkanoate. Adv. Drug Deliv. Rev. 2001, 53, 5–21. [Google Scholar] [CrossRef]
  162. Jung, K.; Hazenberg, W.; Prieto, M.; Witholt, B. Two-stage continuous process development for the production of medium-chain-length poly(3-hydroxyalkanoates). Biotechnol. Bioeng. 2001, 72, 19–24. [Google Scholar] [CrossRef]
  163. Du, G.; Chen, J.; Yu, J.; Lun, S. Continuous production of poly-3-hydroxybutyrate by Ralstonia eutropha in a two-stage culture system. J. Biotechnol. 2001, 88, 59–65. [Google Scholar] [CrossRef]
  164. Atlić, A.; Koller, M.; Scherzer, D.; Kutschera, C.; Grillo-Fernandes, E.; Horvat, P.; Chiellini, E.; Braunegg, G. Continuous production of poly([R]-3-hydroxybutyrate) by Cupriavidus necator in a multistage bioreactor cascade. Appl. Microbiol. Biotechnol. 2011, 91, 295–304. [Google Scholar] [CrossRef] [PubMed]
  165. Ramsay, B.A.; Lomaliza, K.; Chavarie, C.; Dubé, B.; Ramsay, J.A. Production of poly-(beta-hydroxybutyric-co-β-hydroxyvaleric) acids. Appl. Environ. Microbiol. 1990, 56, 2093–2098. [Google Scholar] [PubMed]
  166. Lillo, J.G.; Rodriguez-Valera, F. Effects of Culture Conditions on Poly(β-Hydroxybutyric Acid) Production by Haloferax mediterranei. Appl. Environ. Microbiol. 1990, 56, 2517–2521. [Google Scholar] [PubMed]
  167. Durner, R.; Witholt, B.; Egli, T. Accumulation of poly[(R)-3-hydroxyalkanoates] in Pseudomonas oleovorans during growth with octanoate in continuous culture at different dilution rates. Appl. Environ. Microbiol. 2000, 66, 3408–3414. [Google Scholar] [CrossRef] [PubMed]
  168. Ahn, W.S.; Park, S.J.; Lee, S.Y. Production of poly(3-hydroxybutyrate) from whey by cell recycle fed-batch culture of recombinant Escherichia coli. Biotechnol. Lett. 2001, 23, 235–240. [Google Scholar] [CrossRef]
  169. Khanna, S.; Srivastava, A.K. Repeated batch cultivation of Ralstonia eutropha for poly (β-hydroxybutyrate) production. Biotechnol. Lett. 2005, 27, 1401–1403. [Google Scholar] [CrossRef] [PubMed]
  170. Huang, T.-Y.; Duan, K.-J.; Huang, S.-Y.; Chen, C.W. Production of polyhydroxyalkanoates from inexpensive extruded rice bran and starch by Haloferax mediterranei. J. Ind. Microbiol. Biotechnol. 2006, 33, 701–706. [Google Scholar] [CrossRef] [PubMed]
  171. Ibrahim, M.H.A.; Steinbuchel, A. High-cell-density cyclic fed-batch fermentation of a poly(3-hydroxybutyrate)-accumulating thermophile, Chelatococcus sp. Strain MW10. Appl. Environ. Microbiol. 2010, 76, 7890–7895. [Google Scholar] [CrossRef] [PubMed]
  172. Yue, H.; Ling, C.; Yang, T.; Chen, X.; Chen, Y.; Deng, H.; Wu, Q.; Chen, J.; Chen, G.-Q. A seawater-based open and continuous process for polyhydroxyalkanoates production by recombinant Halomonas campaniensis LS21 grown in mixed substrates. Biotechnol. Biofuels 2014, 7, 108. [Google Scholar] [CrossRef]
  173. Singhaboot, P.; Kaewkannetra, P. A higher in value biopolymer product of polyhydroxyalkanoates (PHAs) synthesized by Alcaligenes latus in batch/repeated batch fermentation processes of sugar cane juice. Ann. Microbiol. 2015, 65, 2081–2089. [Google Scholar] [CrossRef]
  174. Ienczak, J.L.; Schmidt, M.; Quines, L.K.; Zanfonato, K.; da Cruz Pradella, J.G.; Schmidell, W.; de Aragao, G.M.F. Poly(3-hydroxybutyrate) production in repeated fed-batch with cell recycle using a medium with low carbon source concentration. Appl. Biochem. Biotechnol. 2016, 178, 408–417. [Google Scholar] [CrossRef] [PubMed]
  175. Schmidt, M.; Ienczak, J.L.; Quines, L.K.; Zanfonato, K.; Schmidell, W.; de Aragão, G.M.F. Poly(3-hydroxybutyrate-co-3-hydroxyvalerate) production in a system with external cell recycle and limited nitrogen feeding during the production phase. Biochem. Eng. J. 2016, 112, 130–135. [Google Scholar] [CrossRef]
  176. Haas, C.; El-Najjar, T.; Virgolini, N.; Smerilli, M.; Neureiter, M. High cell-density production of poly(3-hydroxybutyrate) in a membrane bioreactor. New Biotechnol. 2017, 37, 117–122. [Google Scholar] [CrossRef] [PubMed]
  177. Gahlawat, G. Enhancing the production of polyhydroxyalkanoate biopolymer by Azohydromonas australica using a simple empty and fill bioreactor cultivation strategy. Chem. Biochem. Eng. Q. 2018, 31, 479–485. [Google Scholar] [CrossRef]
  178. Li, T.; Chen, X.; Chen, J.; Wu, Q.; Chen, G.-Q. Open and continuous fermentation: Products, conditions and bioprocess economy. Biotechnol. J. 2014, 9, 1503–1511. [Google Scholar] [CrossRef] [PubMed]
  179. Wang, Y.; Yin, J.; Chen, G.-Q. Polyhydroxyalkanoates, challenges and opportunities. Curr. Opin. Biotechnol. 2014, 30, 59–65. [Google Scholar] [CrossRef] [PubMed]
  180. Van Loosdrecht, M.C.M.; Pot, M.A.; Heijnen, J.J. Importance of bacterial storage polymers in bioprocesses. Water Sci. Technol. 1997, 35, 41–47. [Google Scholar] [CrossRef]
  181. Tan, D.; Xue, Y.-S.; Aibaidula, G.; Chen, G.-Q. Unsterile and continuous production of polyhydroxybutyrate by Halomonas TD01. Bioresour. Technol. 2011, 102, 8130–8136. [Google Scholar] [CrossRef] [PubMed]
  182. Wendlandt, K.-D.; Jechorek, M.; Helm, J.; Stottmeister, U. Producing poly-3-hydroxybutyrate with a high molecular mass from methane. J. Biotechnol. 2001, 86, 127–133. [Google Scholar] [CrossRef]
  183. Cavalheiro, J.M.B.T.; Raposo, R.S.; de Almeida, M.C.M.D.; Teresa Cesário, M.; Sevrin, C.; Grandfils, C.; da Fonseca, M.M.R. Effect of cultivation parameters on the production of poly(3-hydroxybutyrate-co-4-hydroxybutyrate) and poly(3-hydroxybutyrate-4-hydroxybutyrate-3-hydroxyvalerate) by Cupriavidus necator using waste glycerol. Bioresour. Technol. 2012, 111, 391–397. [Google Scholar] [CrossRef] [PubMed]
  184. Chen, Z.; Wan, C. Non-sterile fermentations for the economical biochemical conversion of renewable feedstocks. Biotechnol. Lett. 2017, 39, 1765–1777. [Google Scholar] [CrossRef] [PubMed]
Table 1. Chronological summary of process developments for high-productivity fed-batch bioreactor systems in medium-chain length polyhydroxyalkanoate (mcl-PHA) research.
Table 1. Chronological summary of process developments for high-productivity fed-batch bioreactor systems in medium-chain length polyhydroxyalkanoate (mcl-PHA) research.
Ref.OrganismSubstrate; Limitation[Xt]
(g L−1)
%PHA
(% CDM)
YPHA/S
(g g−1)
Qv
(g L−1 h−1)
CL*Contribution
[70]P. putida GPo1Octane; N-limited37.133-0.25AirFirst HCD process in two-liquid phase media
[71]P. putida GPo1Octane; N-limited4026-0.34?Economic evaluation of mcl-PHA production systems
[63]P. putida BM01OA + glc; N, O2-limited35.965.60.40.92AirEnhanced YPHA/OA by co-feeding glucose
[72]P. putida GPo1OA47550.310.54AirStudied granule morphology in vivo during fed-batch cultivation
[73]P. putida KT2442Octanoate; N-limited51.517.4-0.41 a+O2Closed-loop fed-batch control strategies based on online gas chromatography (GC) measurements
[74]P. oleovoransOctane; O2-limited1125-0.09+O2Highest [Xt] from octane, but found to be inversely proportional to %PHA
[75]P. putida KT2442Oleic acid; P-limited14151.4-1.91+O2Highest known [Xt] and highest Qv from oleic acid
[76]P. putida GPo1OA; N-limited6362-1AirHighest %PHA (75% CDM) did not correspond to max. Qv
[69]P. putida IPT046Glc + fructose; P-limited50630.190.8AirHighest Qv, %PHA from glucose in a native strain
[55]P. putida KT2440NA; C-limited56670.61.44+O2mcl-PHA accumulation under C-limitation
[48]P. putida KT2440NA; C-limited10963-2.13+O2Highest Qv yet reported for mcl-PHAs
[77]P. putida KT2440Corn oil LCFAs, P-limited10328.5-0.61+O2High Qv from mixed LCFA substrate
[78]P. putida KT2440NA + UDA; C-limited48.155.80.51.09+O2Control of PHA monomers through feeding
[56]P. putida KT2440Glc + NA; C-limited71560.661.44+O2Improved YPHA/NA by co-feeding glucose
[59]P. putida KT2440Glc + NA; C-limited71.475.50.781.8+O2Used acrylic acid as a β-oxidation inhibitor to obtain elevated C9 content
[62]P. putida CA-3Butyric acid + DA; P-limited90650.611.63AirFirst use of VFA feedstock, highest Qv without the use of enriched air
[61]P. putida KT2440Glc + NA; no limitation102320.560.95 bAirHighest [Xt] without enriched air
[67]Recombinant P. putida ΔgcdGlc; C-limited61.867-0.83+O2Highest %PHA, Qv from glucose
[60]P. putida KT2440DA, acetic acid, glc (5:1:4); C-limited75740.861.16+O2Highest YPHA/S
[79]P. putida KT2440Oleic acid (80%); N-limited125.654.40.7 c1.01Press. (0.3 bar)Improved YPHA/S coupled to anabolism
a Final Qv reported at 42.75 h, whereas maximum Qv reported as 1.18 g L−1 h−1 at 23 h; b 2.85 g L−1 h−1 reported only during 11 h of PHA accumulation phase when supplied with nonanoic acid. Factoring in the 21-h growth phase results in a Qv of 0.95 g L−1 h−1; c YPHA/S reported yield on a C-mol C-mol−1 basis. Abbreviations (not already defined): CL*—equilibrium oxygen concentration, which may be enhanced using O2-enriched air (+O2) or elevated pressure (press.); OA, octanoic acid; glc, glucose; NA, nonanoic acid; DA, decanoic acid; UDA, undecenoic acid; LCFAs, long-chain fatty acids; VFA, volatile fatty acids. The dash line in the YPHA/S column indicates where values were not reported. The question marks indicate where it was not explicitly stated if aeration was done with atmospheric air, purified O2 or some other means of increasing driving fore for oxygen transfer. Note: P. putida GPo1 formerly known as P. oleovorans (strain ATCC 29347).
Table 2. Chronological summary of process developments for high-productivity fed-batch bioreactor systems in short-chain length (scl)-PHA research.
Table 2. Chronological summary of process developments for high-productivity fed-batch bioreactor systems in short-chain length (scl)-PHA research.
Ref.Organism; (Product a)Substrate; Conditions[Xt]
(g L−1)
%PHA
(% CDM)
YPHA/S
(g g−1)
Qv
(g L−1 h−1)
CL*Contribution
[80]Methylobacterium extorquensMeOH; N-limited233640.20.88+O2Highest %PHB obtained using a methylotroph
[81]E. coli XL1-BlueGlc; O2-limited116.676-2.11+O2First HCD fed batch using recombinant E. coli for PHB production
[57]Cupriavidus necator NCIMB 11599Glc; N-limited164760.32.42AirTiming of N-limitation and maintaining a residual [glc] of 10–20 g L−1 important
[82]Methylobacterium organophilumMeOH; K-limited250520.191.86+O2Highest [Xt] obtained using a methylotroph
[83]M. extorquens ATCC 55366MeOH; N-limited114460.220.56AirHighest [Xt], Qv from a methylotroph without using purified O2
[54]A. lata DSM 1123Sucrose; none14250-3.97+O2First HCD process using A. lata; Highest Qv without nutrient limitation
[84]C. necator NCIMB 11599Glc; P-limited281830.383.14?Highest [Xt] obtained in a fed-batch system for PHA production
[49]A. lata DSM 1123Sucrose; N-limited111.7880.424.94 b+O2Highest Qv reported in PHA production
[53]E. coli XL1-BlueGlc; O2-limited204.3770.283.2+O2Highest [Xt] obtained using E. coli
[85]E. coli XL1-BlueGlc; not stated194.173-4.63?Highest Qv reported using E. coli
[86]E. coli XL1-BlueGlc; not stated14970-2.4+O2
[87]E. coli CGSC 6576Whey; not stated87800.331.4+O2First use of a waste industrial substrate for PHB production using E. coli.
[58]Aeromonas hydrophila; PHB-co-PHHxOleic acid; P-limited95.7450.511.01+O2First HCD process for PHB-co-PHHx production
[88]C. necator NCIMB 11599Glucose; P-limited20867-3.1+O2Maintaining residual glc at 9 g L−1 gave highest Qv, PHB
[89]Halomonas boliviensis LC1MSG; N-limited2390-1.15AirDemonstrated viability of H. boliviensis for HCD production of PHB
[90]C. necator DSM 529Crude glycerol, N-limited76500.341.1+O2Demonstrated high Qv, PHB obtained using crude glycerol
[91]Zorbellella denitrificans MW1Glycerol; 20 g L−1 NaCl81.266.90.251.09AirHighest known YPHB/S using crude glycerol as the sole carbon source
[92]C. necator A-04; P(3-HB-co-4-HB)Fructose + BDO; C/N ratio of 4 then 20011264-0.76AirHighest obtained [Xt] in P(3-HB-co-4-HB) production
[93]Burkholderia sacchari IPT 189Sucrose; N, O2 limited150420.221.7?Utilized an airlift bioreactor (instead of STR) for HCD production of PHB
[94]C. necator DSM 545Soybean oil; N, P, metals limiting83800.852.5?Highest Qv obtained from edible oils as the sole carbon source.
[95]Recombinant C. necator; PHB-co-PHHxPalm oil; N-limited139740.78 c1.07+O2Amongst the highest [Xt] and Qv for production of PHB-co-PHHx using recombinant C. necator
[96]C. necator DSM 545Butyric acid; P-limited46.7820.62 d0.57Press (75 mbar)Demonstrated highest [Xt], %PHA, and Qv for C. necator grown on butyric acid and favorable impact of coupling residual growth and PHB synthesis on Qv
[97]Bacillus megaterium BA-019Sugarcane molasses; C/N = 107343-1.73AirHighest obtained Qv for PHB production using B. megaterium
[98]B. sacchari DSM 17165WSH; P-limited146720.221.6AirHighest Qv from a waste agricultural residue
[99]C. necator DSM 7237; PHBVCrude glycerol and levulinic acid with SFM; C/N = 17.0527.974.50.340.27AirAmong the highest %PHBV and [XPHBV] produced using levulinic acid as the precursor
[100]C. necator DSM 545Glc; N-limited128760.242.03+O2Developed fed-batch control strategy independent of the carbon source
[101]C. necator H16; PHBVMixed VFAs; N-limited112.483-2.13+O2Highest [Xt], Qv in production of PHB with poly(3-hydroxyvalerate) (PHBV)
[102]C. necator Re2058/pCB113; PHB-co-PHHxSPO; N-limited88.3570.51.1AirDemonstrated efficacy of SPO as a substrate for high-Qv production of PHB-co-PHHx
[103]B. sacchari DSM 17165; P(3-HB-co-4-HB)Saccharose + GBL; N-limited74.6720.081.87AirHighest known Qv for the product P(3-HB-co-4HB)
a Product is poly(3-hydroxybutryate) (PHB) unless otherwise specified; b Qv values reported at time of harvest (20 h), highest Qv of 5.13 g L−1 h−1 observed at 16 h; c Values reported during polymer synthesis phase; d YPHA/S reported as C-mol C-mol−1. Abbreviations: GBL, γ-butyrolactone, BDO, 1,4 butanediol; MeOH–methanol; WSH, wheat straw hydrolysate; SFM, sunflower meal hydrolysate; SPO, sludge palm oil; STR, stirred-tank reactor.
Table 3. Various feeding strategies used to obtain HCD cultures in mcl-PHA production.
Table 3. Various feeding strategies used to obtain HCD cultures in mcl-PHA production.
Ref.Feeding StrategyResults
[48]Exponential feeding of NA:
(1) From 0 to 9 h starting at μ = 0.25 h−1 followed by a linearly decaying feeding rate over the next 21 h
(2) Quadratic decay in feeding rate (5 to 15 h) with initial μ = 0.45 h−1 followed by a constant feed rate (8.75 g NA L−1 h−1)
(1) [Xt] = 90 g L−1 CDM with 65% PHA 30 h, Qv = 1.9 g L−1 h−1 in 30 h.
(2) [Xt] = 109 g L−1 CDM with 63% PHA in 30 h, Qv = 2.13 g L−1 h−1.
[60]Exponential feeding of a mixture of DA, acetic acid, and glc (5:1:4) at μ = 0.15 h−1 for 23 h followed by constant feeding rate of 5 g of substrate L−1 h−1 until 40 h.[Xt] = 75 g L−1 CDM containing 74% PHA in 40 h, Qv = 1.16 g L−1 h−1.
[61]Several exponential glc feeding strategies evaluated:
(1) At a constant specific growth rate of 0.25 h−1 until dissolved oxygen (DO) limitation
(2) At μmax (0.67 h−1) for 0 to 9 h followed by constant feeding when DO became limiting
(3) At μmax (0.67 h−1) for 0 to 9 h followed by a linearly increasing feed rate when DO became limiting
(4) Same as in (3) but with a constant feed of NA (98 g h−1) imposed at 21 h (65 g L−1 CDM)
(1) [Xt] = 53 g L−1 CDM in 22 h. Ended by DO limitation causing glc accumulation.
(2) [Xt] = 43 g L−1 CDM in 18 h. No DO limitation but C limitation slowed growth.
(3) 102 g L−1 CDM in 33 h, limited by DO.
(4) [Xt] = 98 g L−1 containing 32% PHA obtained in 32 h.
[112](1) Cells allowed to grow for the first 4 to 5 h, pH adjusted with NH4OH
(2) At 6 to 7 h, 0.5 mM of ammonium octanoate and 0.05 mM of MgSO4 were fed per hour for 5 h, then feeding exponentially increased to 5 mM of ammonium octanoate and 0.5 mM of MgSO4 per hour for 5 h
(3) 1.8 mM of ammonium octanoate and 0.27 mM of MgSO4 were added per hour
[Xt] = 53 g L−1 CDM containing 50% PHA obtained in 48 h, Qv = 0.76 g L−1 h−1.
[67]Phase 1: batch operation until 12 h when 20 g L−1 glc initially consumed
Phase 2: exponential feeding with μ = 0.2 h−1 until 21 h (50 g L−1 CDM), DO limitation causes glucose accumulation
Phase 3: glc fed in response to DO rise above set point to maintain 30 to 35 g L−1
[Xt] = 61.8 g L−1 CDM containing 67% PHA in 50 h for a Qv of 0.83 g L−1 h−1.
Table 4. Chronological summary of studies that have examined scale-up of various processes for scl-PHA or mcl-PHA production.
Table 4. Chronological summary of studies that have examined scale-up of various processes for scl-PHA or mcl-PHA production.
Ref.Organism, ProductConditionsWV
(TV)
[Xt]%PHAYPHA/SQvCL*
(L)(g L−1)(% CDM)(g g−1)(g L−1 h−1)
[137]Aeromonas hydrophila 4AK4, P(HB-co-HHx)Glc during growth and lauric acid during P-limited accumulation phase10,000
(20,000)
5050-0.54Air
[138]P. putida GPp104, P(3-HB-co-3-HV-co-4-HV)DO-stat feeding of gluconic acid during growth, with levulinic acid during the N-limited accumulation phase500
(650)
19.750--Air
25 a2550--Air
[139]Recombinant E. coli, PHBVpH-stat feeding of glc + oleic acid + propionic acid. kLa = 108 h−1 in 300 L bioreactor and kLa = 396 h−1 in 30 L bioreactor100
(300)
29.669-1.06Air
10
(30)
42.270.1-1.37Air
[140]Recombinant E. coli CGSC 4401, PHBWhey solution containing 200 g L−1 lactose fed via pH-stat method150
(300)
3067-1.01Air
10
(30)
5170-1.35Air
[141]C. necator NCIMB 11599, PHBGlc controlled at 9 g L−1 with online glc analyzer300 a23.436-0.18Air
30 a49.245-1.09Air
5 a96.458-1.03Air
[112]P. putida GPo1
mcl-PHA
Exponential followed by constant feeding of OA with N-limited conditions350–400
(650)
53500.410.76Air
[142]Burkholderia cepacia ATCC 17759, PHBBiodiesel waste glycerol concentration maintained at 10–40 g L−1 with N-limitation200
(400)
23.631-0.06Air
[143]C. necator H16, PHBGluconate with N limitation400
(650)
24.265.2-0.23Air
[144]Halomonas campisalis MCMB-1027, PHBBatch cultivations using maltose with O2 limitation after 12 h (1–5%). Scale-up based on constant kLa of 14.2–18.4 h−185
(120)
1.349.20.060.03Press.
(0.5 bar)
8
(14)
1.756.20.090.04Press.
(0.5 bar)
[108]P. putida KT2440, mcl-PHABatch growth on grape pomace with subsequent N-limited polymer accumulation on OA and UDA100
(300)
14.241.10.790.1Air
[145]Halomonas bluephagenesis TD40, P(3-HB-co-4-HB)Glucose, GBL, waste corn steep liquor fed with PHA synthesis triggered by N-limitation. Scale-up based on similar reactor geometry and kLa3500
(5000)
99.660-1.66Air
700
(1000)
89.564-1.58Air
4
(7.5)
81.474-1.25Air
a Cultivations at 25-L scale not stated whether working volume or total volume. Abbreviations: WV, initial working volume; TV, total volume.
Table 5. Chronological summary of continuous culture studies in PHA production.
Table 5. Chronological summary of continuous culture studies in PHA production.
Ref.Organism, Substrate (Polymer)Conditions[Xt]
(g L−1)
%PHA
(% CDM)
YPHA/S
(g g−1)
Qv
(g L−1 h−1)
Contribution
[149]A. beijerinckii, glc (PHB)Single-stage, O2-limited with D = 0.05 h−1-450.13-First application of PHA production in a chemostat.
[165]C. necator DSM 545, glc + propionate, (PHBV)Single-stage with N-limited conditions D = 0.15 h−1-33--Demonstrated copolymer production dependent on the ratio of feed components, also first implementation of a two-stage system for improved %PHA.
[165]A. lata ATCC 29714, sucrose, propionate (PHBV)Two-stage with N-limitation, D = 0.15 h−1-58--
[166]Hfx. mediterranei DSM 1411, glc (PHB)Single-stage with D = 0.02 h−1, OTR = 0.4 mmol O2 L−1 h−13.148 0.03 aFirst continuous PHA production using archaea, and first under non-sterile conditions.
[159]P. oleovorans ATCC 29347, OA (mcl-PHA)Single-stage, various D and C/N ratios tested (D = 0.24 h−1 shown)4.2130.090.14 aFirst mcl-PHA production in continuous culture. Demonstrated little effect of feed C/N ratio on %PHA at D = 0.24 h−1, and showed some dependence of monomer composition on D.
[158]P. putida GPo1, n-octane (mcl-PHA)Single-stage, D = 0.2 h−1 NH4 limiting11.623-0.58First continuous study with two-liquid phase medium and the first to use a continuous platform for enhanced Qv. Demonstrated effect of D on %PHA.
[157]C. necator, fructose + pentanoic acid (PHBV)Single-stage, D = 0.17 h−1, NH4-limiting---0.31First study to use continuous scl-PHA production as a platform for improved Qv. Showed effect of the dilution rate on HV content.
[154]P. putida KT2440, oleic acid (mcl-PHA)Single-stage, O2 limited (DO < 15% AS) with D = 0.1 h−13023-0.69Highest steady-state [Xt] reported for a continuous system in mcl-PHA production.
[71]P. putida GPo1, octane (mcl-PHA)Single-stage, N limited with D = 0.2 h−112.4300.630.74Highest Qv reported for a single-stage continuous PHA production system.
[167]P. putida GPo1, OA (mcl-PHA)Single-stage, D = 0.05–0.4 h−1, C/N ratio = 5–25 (mol mol−1)-56.10.25-First study exploring dual nutrient limited growth. Results reported at D = 0.1 h−1.
[163]C. necator, glc (PHB)Two-stage, D = 0.075 h−1 and with N-limiting conditions in second stage4272.10.361.23Highest [Xt] and Qv in continuous culture for PHA production. Maximum %PHA and YPHA/S with D = 0.075 h−1 in S2.
[162]P. oleovorans ATCC 29347, octane (mcl-PHA)Two-stage (S1: D = 0.21 h−1 and S2: D = 0.16 h−1)71.463-1.06Highest mcl-PHA productivity to date in a continuous bioreactor system.
[155]P. putida GPo1, OA, UDA (mcl-PHA)Single-stage, D = 0.1–0.4 h−1, dual C- and N-limitation1.7523-0.08Monomer composition shown to be a function of D and not the C/N ratio. Preference for the incorporation of aliphatic monomers at lower D. Results reported for C/N = 23 and D = 0.1 h−1.
[153]P. putida GPo1, fatty acids, (mcl-PHA)Two-stage (S1–octanoic acid, S2–undecenoic acid), D = 0.1 h−1 for both S1 and S2, dual C and N limitation1.53(S2)52.4 (S2)-0.08 aSynthesis of two mcl-PHA copolymers when fed different fatty acids in S1 (OA) and S2 (UDA). Results shown for D = 0.1 h−1 and C/N = 19.1.
[164]C. necator DSM 545, glc (PHB)Five CSTRs with D = 0.13–0.17 h−1; S1 7.5 L growth reactor (DO = 40%) and S2–S5-3.6 L accumulation reactors (DO = 20%)81 (S5)77 (S5)0.291.85First time more than two in-series CSTRs used for PHA production. Highest reported Qv for any continuous PHA production system.
[115]P. putida KT2440, OA + UDAHigh-pressure (7 bar) chemostat with DO = 235%, D = 0.15 h−1 and C/N = 12.5 g g−113.845.1 0.9First application of a pressurized chemostat for improved OTR and overall Qv.
aQv calculated on the basis of [Xt] and %PHA, or [XPHA], and D. Abbreviations: CSTR, continuous stirred tank reactor. Note: P. putida GPo1 formerly known as P. oleovorans strain ATCC 29347.
Table 6. Semi-continuous (cyclic) batch, fed-batch, and cell recycle processes applied in PHA production.
Table 6. Semi-continuous (cyclic) batch, fed-batch, and cell recycle processes applied in PHA production.
Ref.OrganismSubstrate (Polymer)Conditions[Xt]
(g L−1)
%PHA
(% CDM)
YPHA/S
(g g−1)
Qv
(g L−1 h−1)
CL*
[168]Recombinant E. coli CGCS 4401Whey (PHB)2.3-L pH-stat fed batch with constant volume and cell recycle via external membrane module (36.5 h total cultivation time)19487-4.6O2
[169]C. necator NRRL B14690Fructose (PHB)Fed batch with 20% volume removal at 27 h and 41 h (two cycles, 68 h total cultivation time)49510.310.42?
[170]Hfx. mediterranei ATCC 33500ERB and ECS (1:8) + YE (PHB)5-L pH-stat repeated fed batch with 90% withdrawal at end of cycle (three cycles, 118 h total cultivation time)14055.6-3.2?
[171]Chelatococcus sp. MW10Glucose (PHB)Fed batch with 20–40% volume removal (two cycles, 265 h total cultivation time)11511.80.11 a-Air
[172]Recombinant Halomonas campaniensis LS21Mixed (proteins, fats, cellulose) (PHB)Fed batch with 40 mL of culture removed every 12 h and addition of 2 L of substrate (day 25 and 49) and 0.5 L of seawater on day 7 and 34 (65 d total cultivation time)69 b70--?
[173]A. lata TISTR 1403Sugar cane juice (PHB)2-L repeated batch with 90% withdrawal at the end of each cycle (four cycles, 84 h total cultivation time)4.5690.38 c0.21?
[174]C. necator DSM 545Glucose, fructose (PHB)5-L repeated fed batch with periodic 25% withdrawal and complete cell recycle via external membrane (eight cycles, 42 h total cultivation time)61.669-1.0Air
[175]C. necator DSM 545Glucose + propionic acid (PHBV)Fed batch with cell recycle via an external membrane, with 1 L periodically withdrawn and replaced with fresh medium (52 h total cultivation time)8073-1.24Air
[176]C. necator DSM 545Dilute glucose (PHB)3-L fed batch, continuously added and removed through external membrane after 18 h of batch operation (36 h total cultivation time)148760.333.1Air
[177]Azohydromonas australica DSM 1124Sucrose (PHB)20% volume removed when sucrose concentration reached 8 g L−1, and replenished with fresh medium. Three cycles completed (69 h total cultivation time)27.9740.59 d0.29Air
a Maximum YPHA/S reported at end of second cyclic fed batch cycle; b Maximum [Xt] reported at day 12; c Maximum YPHA/S reported at 18 h; d Maximum YPHA/S reported at 48 h; the dashed line indicates that YPHA/S values were not reported. The question marks indicate where the use of air or O2-enriched air was not explicitly stated. Abbreviations: ECS, Extruded cornstarch; ERB, Extruded rice bran; YE, Yeast extract.

Share and Cite

MDPI and ACS Style

Blunt, W.; Levin, D.B.; Cicek, N. Bioreactor Operating Strategies for Improved Polyhydroxyalkanoate (PHA) Productivity. Polymers 2018, 10, 1197. https://doi.org/10.3390/polym10111197

AMA Style

Blunt W, Levin DB, Cicek N. Bioreactor Operating Strategies for Improved Polyhydroxyalkanoate (PHA) Productivity. Polymers. 2018; 10(11):1197. https://doi.org/10.3390/polym10111197

Chicago/Turabian Style

Blunt, Warren, David B. Levin, and Nazim Cicek. 2018. "Bioreactor Operating Strategies for Improved Polyhydroxyalkanoate (PHA) Productivity" Polymers 10, no. 11: 1197. https://doi.org/10.3390/polym10111197

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop