Next Article in Journal
Intermittent Smoothing Approaches for Wind Power Output: A Review
Previous Article in Journal
Natural Contamination and Surface Flashover on Silicone Rubber Surface under Haze–Fog Environment
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Self-Powered Electrochemical Lactate Biosensing

Bioelectronics Laboratory, Department of Computer Science and Electrical Engineering, University of Maryland Baltimore County, 1000 Hilltop Circle, Baltimore, MD 21250, USA
*
Author to whom correspondence should be addressed.
Energies 2017, 10(10), 1582; https://doi.org/10.3390/en10101582
Submission received: 23 September 2017 / Revised: 6 October 2017 / Accepted: 9 October 2017 / Published: 12 October 2017
(This article belongs to the Section D: Energy Storage and Application)

Abstract

:
This work presents the development and characterization of a self-powered electrochemical lactate biosensor for real-time monitoring of lactic acid. The bioanode and biocathode were modified with D-lactate dehydrogenase (D-LDH) and bilirubin oxidase (BOD), respectively, to facilitate the oxidation and reduction of lactic acid and molecular oxygen. The bioelectrodes were arranged in a parallel configuration to construct the biofuel cell. This biofuel cell’s current–voltage characteristic was analyzed in the presence of various lactic acid concentrations over a range of 1–25 mM. An open circuit voltage of 395.3 mV and a short circuit current density of 418.8 µA/cm² were obtained when operating in 25 mM lactic acid. Additionally, a 10 pF capacitor was integrated via a charge pump circuit to the biofuel cell to realize the self-powered lactate biosensor with a footprint of 1.4 cm × 2 cm. The charge pump enabled the boosting of the biofuel cell voltage in bursts of 1.2–1.8 V via the capacitor. By observing the burst frequency of a 10 pF capacitor, the exact concentration of lactic acid was deduced. As a self-powered lactate sensor, a linear dynamic range of 1–100 mM lactic acid was observed under physiologic conditions (37 °C, pH 7.4) and the sensor exhibited an excellent sensitivity of 125.88 Hz/mM-cm2. This electrochemical lactate biosensor has the potential to be used for the real-time monitoring of lactic acid level in biological fluids.

Graphical Abstract

1. Introduction

Organ transplantation is one of the most significant advances achieved in medicine during the latter half of the 20th century and still remains in many cases the only effective therapy for end-stage organ failure. Wherein, it is critical to maintain the supply line of organs for transplantation via organ preservation. In a logistical sense, preservation buys time, which is essential to organize staff and facilities, transport organs, and perform necessary laboratory tests and surgery [1]. However, organ preservation is severally limited by a short preservation time.
Currently, there are nearly 2 million people living with extremity limb loss in the United States. The main causes of extremity limb loss have been attributed to vascular disease (54%)—including diabetes and peripheral arterial disease, trauma (45%), and cancer (less than 2%) [2]. The goal of organ preservation is to develop a method to monitor the biomarkers of stress induced by the procurement and preservation process in real-time in order to extend the preservation period to allow for assembly of the surgical team and the transport of the organ between facilities. The typical preservation time for organs is anywhere from 15 to 30 h [3]. The time for the organs to remain viable depends on the organ type, as illustrated in Figure 1.
Lactic acid is a key biomarker of stress that increases during the organ procurement process and is the main source of metabolically produced acid responsible for tissue acidosis. Therefore, when an individual experiences an extremity limb loss, the flow of nutrients and oxygen to that limb ceases, which initiates the deterioration of the limb’s tissue. This process is described as ischemia [3]. Ischemia can be identified by the coupled and accelerated production of lactic acid and oxidation of glucose due to elevated glycolysis in the oxygen-deprived tissue [4]. Thus, lactic acid concentration levels can serve as excellent biomarkers for monitoring tissue and organ health.
Generally, lactic acid exists as L-(+) and D-(-) enantiomers. While L-(+)-lactate is the normal intermediate in mammalian metabolism, the D-(-) enantiomer is usually produced by microorganisms, algae, and plants and is of limited utilization in humans [5]. Determination of L-lactate concentration in blood is essential for the diagnosis of patient conditions in intensive care and during surgery. An elevated lactate level in blood is a major indicator of ischemic conditions of the respective tissue. This ischemic situation can be caused by shock trauma, respiratory insufficiency, carbon monoxide or cyanide intoxication, etc. [6,7]. Another cause for an altered lactate level is a disturbed lactate metabolism, which may sometimes be attributed to diabetes or absorptive abnormalities of short-chain fatty acids in the colon [8]. In sport or space medicine, blood lactate levels during exercise can be used as an indicator of training status [9,10] and are now common for monitoring training and fitness of athletes or racing animals.
It is apparent that lactate is an important metabolite, and monitoring the existence or production of L- and D-lactic acid in a variety of media is of great interest. Among the various conventional analytical methods available for the determination of this analyte, colorimetric tests and chromatographic analysis are commonly used. However, these methods are complex, laborious, time-consuming, and complicated by intensive sample pre-treatment and reagent preparation [11,12]. Therefore, the development of an alternative method for lactic acid detection that is simple, direct, and inexpensive and enables real-time sensing with no need for sample preparation is highly desired.
Here, the goal of our research work is to actively monitor the biodeteriotiation of the organ after the procement process by measuring lactic acid levels in the perfusate surrounding the organ using a novel self-powered biosensor. We present a self-powered electrochemical lactate biosensor that can generate its own electrical power to drive its internal circuits using carbon nanotubes. Such self-powered electrochemical biosensor comprises enzymatic biofuel cell and capacitor circuit functioning as a transducer. This enables the sensor to generate an electric power proportional to the analyte concentration and senses analyte concentration via the charging frequency of the capacitor circuit. These types of biosensors first reported by Slaughter and Kulkarni [13] and are an improvement to traditional, battery-powered biosensors. This self-powered biosensor does not rely on external power sources, such as batteries and completely eliminate the potentiostat circuit employed in amperometric biosensors by deriving electrical power from its environment [14,15]. Thereby, the system continuously generates electrical power and senses analyte as long as there is a continuous supply of analytes.

2. Experimental

2.1. Materials

Buckypaper composed of a dense network of multi-walled carbon nanotubes (MWCNTs) was bought from NanotechLabs (Yadkinville, NC, USA). Pyrenebutanoic acid succinimidyl ester (PBSE) was bought from AnaSpec Inc. Lactic acid, potassium phosphate monobasic, bilirubin oxidase (BOD), dimethyl sulfoxide (DMSO), isopropyl alcohol, and D-lactate dehydrogenase (D-LDH) were acquired from Sigma-Aldrich and were utilized without further purification. Polyimide HD-2611 was obtained from HD Microsystems (Parlin, NJ, USA). Phosphate buffer and phosphate-buffered saline (PBS) were prepared with 18.2 MΩ·cm Milli-Q water.

2.2. Bioelectrode Construction

Figure 2 provides a schematic illustration of the self-powered electrochemical lactate biosensor. Briefly, buckypaper square sheets (3 mm × 2 mm) were utilized as electrode materials for the construction of the biofuel cell. The electrodes were washed with 2-proponal to remove impurities from the surface and subsequently modified with pyrenebutanoic acid succinimidyl ester (PBSE) cross-linker to establish noncovalent π−π stacking between the aromatic rings of PBSE and MWCNTs. D-LDH (0.8 mg/mL) was prepared in 10 mM phosphate buffered saline (1 mM CaCl2, pH 7) and immobilized onto the PBSE modified electrode in the dark at room temperature. This electrode served as the bioanode, whereas the biocathode was functionalized with 1 mg/mL bilirubin oxidase (BOD)/10 mM PBS (pH 7). Immediately following enzyme immobilization, the bioelectrodes were coated with Nafion. The bioanode and biocathode were fixed in place via polyimide and a pair of 200 μm tungsten wires were used as the electrical leads to connect the biofuel cell to the charge pump circuit to construct a complete lactate self-powered biosensor system. The bioelectrodes were kept 1 cm apart and the lactic acid substrate was introduced via capillary action.

3. Results and Discussion

A substrate material, such as the dense mesh network of multi-walled carbon nanotubes with high surface area is crucial to enhancing the enzyme loading and hence the electrocatlaytic activity to generate large electrical power from the constructed biofuel cell. The respective enzymes were successfully immobilized on to the PBSE-modified electrodes via the formation of amide bonds between the amino groups on the protein and the carboxyl group provided by PBSE [13], wherein the double bond between the carbon and oxygen on PBSE is broken, leaving oxygen with a negative formal charge as the electrons move towards the more electronegative species. An unstable intermediate is formed when the nitrogen from the enzyme’s amino group donates electrons to the now electron-deficient carbon on the PBSE and subsequently develops a positive formal charge. The π electrons on the oxygen reform the double bond with the carbon atom on the PBSE [16]. Simultaneously, the ester group also attached to the carbon breaks off, along with one of the hydrogen attached to the nitrogen, thus leaving behind a neutral, immobilized enzyme. D-lactate dehydrogenase (D-LDH) was used to catalyze the oxidation of lactic acid, and bilirubin oxidase was used to catalyze the reduction of molecular oxygen as illustrated in the redox equations of the two half reactions below:
Anode: Lactate → Pyruvate + 2H+ + 2e
Cathode :   ( 1 2 ) O 2   +   2 H +   +   2 e     H 2 O .
under stressful conditions such as shock trauma in biological species, the production of lactic acid increases, so lactate dehydrogenase was selected to oxidize lactate since it does not produce toxic hydrogen peroxide byproduct, which can subsequently foul the electrode surface [17,18,19]. Lactate oxidase was not employed in the bioelectrode design because it was observed that it is difficult to achieve direct electron transfer on carbon nanotube surfaces without the use of mediators [18].
To evaluate the electrocatalytic activity of the bioanode and biocathode, cyclic voltammetry (CV) curves of the corresponding bioelectrodes were measured under their respective analytes. According to the measurements acquired in Figure 3, with the D-LDH functionalized bioanode, the intensity in the reaction peak increased in the presence of increasing lactate concentrations—(b) 7 mM and (c) 15 mM—at an oxidation onset potential of between −0.28 and 0.46 V vs. Ag/AgCl, which is comparable to measurements previously reported [20]. It is evident that the CV profile in the presence of lactic acid remained relatively unchanged irrespective of the lactic acid concentration level, thereby indicating that the D-LDH catalyst reacts with lactic acid and in turn is the best catalyst for the lactic acid oxidation reaction.
To examine the electrochemical reaction at the biocathode, we examined the effect of dissolved molecular oxygen gas on the electrocatalytic activity of the functionalized BOD biocathode. Figure 4 represents the CV curves of the biocathode in the presence and absence of dissolved molecular oxygen. Insignificant electrocatalytic activity was observed in the absence of oxygen, whereas the onset of oxygen reduction was observed at ca. +0.32 V vs. Ag/AgCl in the presence of dissolved oxygen. The downshift in the electrocatalytic current is attributed to an oxygen reduction reaction as previously reported [21].
These effects are ascribed to the increased active surface area achieve with the carbon nanotubes for enzyme immobilization and the formation of amide bonds between the enzymes and PBSE and the formation of π–π stacking on CNTs [22,23]. All of these effects enabled the electron transfer between the active center of the enzyme to the carbon nanotubes, thereby implying that both D-LDH and BOD were successfully immobilized on the dense mesh network of carbon nanotubes.
The electrical power generated by the lactate biofuel cell was determined using a series of resistance loads ranging from 1 MΩ to 0 Ω, while monitoring both potential and current as a function of time. The obtained data was subsequently employed to generate current-voltage and power-current density curves shown in Figure 5. The open circuit voltages for 25 mM and 15 mM lactic acid solutions were 395.3 mV and 368.4 mV, respectively. The corresponding short-circuit current densities were observed to be 418.8 µA/cm² and 334.25 µA/cm², respectively. Figure 5 shows the achievable power of 35.7 μW/cm2 at a cell voltage of 0.14 V for 25 mM lactic acid. The lactate biofuel cell was designed for generating electrical power from low lactate concentrations of up to 25 mM for biological samples such as tears, urine and serum [24].
A stability profile of the lactate biofuel cell was generated over a two-week period. A resistance of 200 kΩ was used as a load. Over the 15-day period, the lactate biofuel cell’s electrical power gradually decreased from 32.3 to 14.02 μW/cm2 when operating continuously in 25 mM lactate (black curve) for one week. This represents a 56.5% drop in the original biofuel cell activity and drops by an overall 76.9% by the end of the two-week period. On the other hand, when operating in 1 mM lactate (gray curve), a 52.2% drop in original electrical power was observed at Week 1 and an overall 86.8% was observed at the end of the two-week period as shown in Figure 6. According to the stability profile, the system and the bioelectrodes would need to be calibrated and replaced every two weeks.
The stability profile illustrates the potential of using the electrical power produced by the lactate biofuel cell in the development of a self-powered electrochemical lactate biosensor. Hence, the electrical power generated from the lactate biofuel cell is supplied as the input voltage for the charge pump integrated circuit (IC, s882Z), which requires a minimum operating input voltage of approximately 275 mV. This nominal input voltage from the lactate biofuel cell is then amplified by the charge pump circuit to 1.8 V via the 10 pF capacitor functioning as the lactate transducer. The sensing ability of the system was determined by measuring the charging/discharging frequency of the 10 pF capacitor connected to the charge pump circuit in response to lactate concentrations. Once the capacitor is fully charged, the charge pump IC discharges the capacitor until the potential reaches 1.2 V, thereby supplying a burst of power as shown in Figure 7.
This charging/discharging of the capacitor continues and is observed to be directly proportional to the biocatalytic oxidation of lactate at the bioanode. Therefore, by monitoring the capacitor charging/discharging frequency, the exact concentration of the analyte can be deduced. This self-powering system is less costly in terms of the circuit components used when compared to amperometric biosensors. It employs a charge pump IC and a capacitor, whereas an amperometric biosensor composed primary of operational precision amplifiers, transistors, resistors, and capacitors.
The overall self-powered lactate biosensor performance in lactic acid solution is shown in Figure 8. The average frequency of charge/discharge cycle of the capacitor was observed for various levels of lactate analyte. Based on the results obtained, the sensitivity was calculated to be 125.88 Hz/mM-cm2 and a linear dynamic range of 1–100 mM lactic acid was observed with a linear correlation-regression coefficient of 0.9948. These results are higher in comparison to amperometric lactic acid biosensors previously reported [25,26]. The linear calibration curve was determined using the following equation:
Response (Hz) = 1.2588 [lactate] (mM) + 4.7289 (Hz)
Additionally, this self-powered electrochemical lactate biosensor system demonstrates that lactic acid concentration levels above 25 mM, which is common in undiluted biological fluid, such as sweat can be easily sensed. Therefore, this self-powered electrochemical lactate biosensor is calibrated to sense a wide range of lactate concentration from 1 to 100 mM to account for both diluted and undiluted samples, thereby confirming the utility of the system for sensing a wide range of lactic acid concentrations. This includes lactic acid concentrations that are at the normal lactate level in the human body to the maximum level that can occur [27,28]. Interfering analyte, such as uric acid is reported in a corresponding article to exhibit no impact of the sensing of the analyte of interest [15] using this self-powered lactate biosensor. Amperometric biosensors based on oxidase enzymes, the interfering analytes are decomposed at the same potential of ca. +700 mV as the byproduct hydrogen peroxide [16,17,18], whereas, with this self-powered electrochemical lactate biosensor, the voltages generated by the lactate dehydrogenase-based biofuel cell are below +600 mV, thereby enabling lactic acid to be sensed with a high degree of selectivity.

4. Conclusions

The self-powered lactate biosensor describes a single lactate biofuel cell constructed from a D-LDH- and BOD-functionalized MWCNT bioanode and biocathode, respectively, for the non-invasive monitoring of lactic acid levels over an extended period of time. In this study, D-LDH enabled the oxidation of lactic acid, whereas BOD enabled the reduction of oxygen. The lactate biofuel cell produced 35.7 μW/cm2 when operating in 25 mM lactic acid. The charge pump and capacitor circuits enabled the excitation of the nominal electrical power generated by the lactate biofuel cell by generating a burst of power via the 10 pF capacitor from 1.2 to 1.8 V, which was then used to deduced lactic acid concentration in real time by monitoring the charging/discharging frequency of the capacitor.
The advantage of using dehydrogenase enzyme at the anode facilitated the electrocatalytic activity in the presence of lactic acid, which in turn was directly correlated with the burst of power generated by the charge pump and capacitor circuits. This sensing system’s stability along with its stable operation at physiological pH and temperature demonstrates that this self-powered lactate biosensor system could serve as a potential metabolic biosensor for monitoring undiluted and diluted lactate in biological fluids.
We demonstrated a lactate self-powered biosensor capable of non-invasive, real-time monitoring of a key metabolite of stress or trauma. Therefore, dehydrogenase enzymes have the advantage of achieving electron transfer on carbon nanotubes and of enabling the widespread sensing of other metabolites of interest. The combination of glucose dehydrogenace and D-LDH could enable the dual sensing of these two metabolites, which are elevated during injury. The realization of the complete self-powered lactate biosensor system could enable its deployment in clinical settings to simultaneously monitor key biomarkers to access organ health and thereby extend the health outcome of the organ transplants.

Acknowledgment

This work was supported by the National Science Foundation (Award ECCS #1349603).

Author Contributions

G.S. and A.B. conceived and designed the experiments; A.B. performed the experiments and analyzed the data; A.B. and G.S. wrote the paper.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Southard, J.; Belzer, F.O. Organ preservation. Annu. Rev. Med. 1995, 46, 235–247. [Google Scholar] [CrossRef] [PubMed]
  2. Ziegler Graham, K.; MacKenzie, E.J.; Ephraim, P.L.; Travison, T.G.; Brookmeyer, R. Estimating the Prevalence of Limb Loss in the United States: 2005 to 2050. Arch. Phys. Med. Rehabil. 2008, 89, 422–429. [Google Scholar] [CrossRef] [PubMed]
  3. Halazun, K.J.; Al-Mukhtar, A.; Aldouri, A.; Willis, S.; Ahmad, N. Warm ischemia in transplantation: Search for a consensus definition. Transplant. Proc. 2007, 39, 1329–1331. [Google Scholar] [CrossRef] [PubMed]
  4. Khalifian, S.; Broyles, J.M.; Tuffaha, S.H.; Alrakan, M.; Ibrahim, Z.; Sarhane, K.A. Immune mechanisms of ischemia-reperfusion injury in transplantation. Open J. Immunol. 2013, 3, 158–164. [Google Scholar] [CrossRef]
  5. Megazyme D-Lactic Acid (D-Lactate) and L-Lactic acid (Lactate) Assay Procedures 2005. Available online: https://secure.megazyme.com/files/Booklet/K-DLATE_DATA.pdf (accessed on 23 September 2017).
  6. Breen, P.H.; Isserles, S.A.; Westley, J.; Roizen, M.F.; Taitelman, U.Z. Combined carbon monoxide and cyanide poisoning: A place for treatment? Anesth. Analg. 1995, 80, 671–677. [Google Scholar] [PubMed]
  7. Varon, J.; Marik, P.E. Carbon monoxide poisoning. Int. J. Emerg. Intens. Care Med. 1997, 1, 1–17. [Google Scholar]
  8. DiBaise, J.K. Nutritional consequences of small intestinal bacterial overgrowth. Pract. Gastroenterol. 2008, 32, 15–28. [Google Scholar]
  9. San-Millán, I.; Brooks, G.A. Assessment of Metabolic Flexibility by Means of Measuring Blood Lactate, Fat, and Carbohydrate Oxidation Responses to Exercise in Professional Endurance Athletes and Less-Fit Individuals. Sports Med. 2017. [Google Scholar] [CrossRef] [PubMed]
  10. Kurita, T.; Nakada, T.A.; Kawaguchi, R.; Shinozaki, K.; Abe, R.; Oda, S. Timing and Location of Medical Emergency Team Activation Is Associated with Seriousness of Outcome: An Observational Study in a Tertiary Care Hospital. PLoS ONE 2016, 11, e0168729. [Google Scholar] [CrossRef] [PubMed]
  11. Yang, Q.; Atanasov, P.; Wilkins, E. Needle-type lactate biosensor. Biosens. Bioelectron. 1999, 14, 203–210. [Google Scholar] [CrossRef]
  12. Bleiberg, B.; Steinberg, J.J.; Katz, S.D.; Wexler, J.; LeJemtel, T. Determination of plasma lactic acid concentration and specific activity using high-performance liquid chromatography. J. Chromatogr. 1991, 568, 301–308. [Google Scholar] [CrossRef]
  13. Slaughter, G.; Kulkarni, T. A self-powered glucose biosensing system. Biosens. Bioelectron. 2016, 78, 45–50. [Google Scholar] [CrossRef] [PubMed]
  14. Sode, K.; Yamazaki, T.; Lee, I.; Hanashi, T.; Tsugawa, W. BioCapacitor: A novel principle for biosensors. Biosens. Bioelectron. 2016, 76, 20–28. [Google Scholar] [CrossRef] [PubMed]
  15. Kulkarni, T.; Slaughter, G. Characteristics of two self-powered glucose biosensors. IEEE Sens. J. 2017, 17, 3607–3612. [Google Scholar] [CrossRef]
  16. Strack, G.; Babanova, S.; Farrington, K.E.; Luckarift, H.R.; Atanassov, P.; Johnson, G.R. Enzyme modified buckypaper for bioelectrocatalysis. J. Electrochem. Soc. 2013, 160, G3178–G3182. [Google Scholar] [CrossRef]
  17. Lockridge, O.; Massey, V.; Sullivan, P. A Mechanism of action of the flavoenzyme lactate oxidase. J. Biol. Chem. 1972, 247, 8097–8106. [Google Scholar] [PubMed]
  18. Ferri, S.; Kojima, K.; Sode, K. Review of Glucose Oxidases and Glucose Dehydrogenases: A Bird’s Eye View of Glucose Sensing Enzymes. J. Diabetes Sci. Technol. 2011, 5, 1068–1076. [Google Scholar] [CrossRef] [PubMed]
  19. Baingane, A.; Mburu, N.; Slaughter, G. A self-powered glucose monitor. In Proceedings of the TechConnect World, Washington, DC, USA, 4–17 May 2017. [Google Scholar]
  20. Shu, H.-C.; Mattiasson, B.; Persson, B.; Nagy, G.; Gorton, L.; Sahni, S.; Geng, L.; Boguslavsky, L.; Skotheim, T. A reagentless amperometric electrode based on carbon paste, chemically modified with D-lactate dehydrogenase, NAD+, and mediator containing polymer for D-lactic acid analysis: I. Construction, composition, and characterization. Biotechnol. Bioeng. 1995, 46, 270–279. [Google Scholar] [CrossRef] [PubMed]
  21. Slaughter, G.; Kulkarni, T. Highly Selective and Sensitive Self-Powered Glucose Sensor Based on Capacitor Circuit. Sci. Rep. 2017, 7, 1471. [Google Scholar] [CrossRef] [PubMed]
  22. Tsai, Y.-C.; Li, S.-C.; Chen, J.-M. Cast thin-film biosensor design based on a Nafion backbone, a multiwalled carbon nanotube conduit, and a glucose oxidase function. Langmuir 2005, 21, 3653–3658. [Google Scholar] [CrossRef] [PubMed]
  23. Elouarzaki, K.; Bourourou, M.; Holzinger, M.; Le Goff, A.; Marks, R.S.; Cosnier, S. Freestanding HRP– GOx redox buckypaper as an oxygen-reducing biocathode for biofuel cell applications. Energy Environ. Sci. 2015, 8, 2069–2074. [Google Scholar] [CrossRef]
  24. Garcia, S.O.; Ulyanova, Y.V.; Figueroa-Teran, R.; Bhatt, K.H.; Singhal, S.; Atanassov, P. Wearable Sensor System Powered by a Biofuel Cell for Detection of Lactate Levels in Sweat. ECS J. Solid State Sci. Technol. 2016, 5, M3075–M3081. [Google Scholar] [CrossRef] [PubMed]
  25. Pfeiffer, D.; M€oller, B.; Klimes, N.; Szeponik, J.; Fischer, S. Amperometric lactate oxidase catheter for real-time lactate monitoring based on thin film technology. Biosens. Bioelectron. 1997, 12, 539–550. [Google Scholar] [CrossRef]
  26. Parra, A.; Casero, E.; Va’zquez, L.; Pariente, F.; Lorenzo, E. Design and characterization of a lactate biosensor based on immobilized lactate oxidase onto gold surfaces. Anal. Chim. Acta 2016, 555, 308. [Google Scholar] [CrossRef]
  27. Stephens, S.K.; Tothill, I.E.; Warner, P.J.; Turner, A.P.F. Detection of silage effluent pollution in river water using biosensors. Water Res. 1997, 31, 41–48. [Google Scholar] [CrossRef]
  28. Pfeiffer, D.; Setz, K.; Schulmeister, T.; Scheller, F.W.; L€uck, H.B.; Pfeiffer, D. Development and characterization of an enzyme-based lactate probe for undiluted media. Biosens. Bioelectron. 1992, 7, 661–671. [Google Scholar] [CrossRef]
Figure 1. Typical and maximum preservation time for different donated organs.
Figure 1. Typical and maximum preservation time for different donated organs.
Energies 10 01582 g001
Figure 2. The self-powered electrochemical lactate biosensor based on the integration of enzymatic lactate biofuel cell with a charge pump and capacitor circuits. The electric power generated by the biofuel cell results from the oxidation of lactic acid and the reduction of oxygen. This electric power is subsequently charged into the capacitor via the charge pump circuit until the capacitor reaches the discharge start voltage. Then, the capacitor discharges until the potential is reduced to the discharge stop voltage, and the power is charged to the capacitor again. The charging/discharging frequency correlates to lactic acid concentration.
Figure 2. The self-powered electrochemical lactate biosensor based on the integration of enzymatic lactate biofuel cell with a charge pump and capacitor circuits. The electric power generated by the biofuel cell results from the oxidation of lactic acid and the reduction of oxygen. This electric power is subsequently charged into the capacitor via the charge pump circuit until the capacitor reaches the discharge start voltage. Then, the capacitor discharges until the potential is reduced to the discharge stop voltage, and the power is charged to the capacitor again. The charging/discharging frequency correlates to lactic acid concentration.
Energies 10 01582 g002
Figure 3. Cylic voltammograms (a) in the absence of lactic acid and in the presence of 7 mM (b) and 15 mM (c) lactic acid. Cyclic voltammetry (CV) tests were performed in 0.1 M phosphate-buffered saline (PBS) (pH 7.4) electrolyte, and the scan rate was 20 mV/s.
Figure 3. Cylic voltammograms (a) in the absence of lactic acid and in the presence of 7 mM (b) and 15 mM (c) lactic acid. Cyclic voltammetry (CV) tests were performed in 0.1 M phosphate-buffered saline (PBS) (pH 7.4) electrolyte, and the scan rate was 20 mV/s.
Energies 10 01582 g003
Figure 4. Cylic voltammograms (a) in air and (b) in oxygen saturated environment. CV tests were performed in 0.1 M PBS (pH 7.4) electrolyte, and the scan rate was 20 mV/s.
Figure 4. Cylic voltammograms (a) in air and (b) in oxygen saturated environment. CV tests were performed in 0.1 M PBS (pH 7.4) electrolyte, and the scan rate was 20 mV/s.
Energies 10 01582 g004
Figure 5. Polarization curves of lactate biofuel cells including D-lactate dehydrogenase (D-LDH)/multi-walled carbon nanotubes (MWCNTs) as anodic catalyst and bilirubin oxidase (BOD)/MWCNTs as cathodic catalyst. In the tests, a 1–25 mM lactate solution was circulated as a fuel.
Figure 5. Polarization curves of lactate biofuel cells including D-lactate dehydrogenase (D-LDH)/multi-walled carbon nanotubes (MWCNTs) as anodic catalyst and bilirubin oxidase (BOD)/MWCNTs as cathodic catalyst. In the tests, a 1–25 mM lactate solution was circulated as a fuel.
Energies 10 01582 g005
Figure 6. Fourteen-day measurements of electrical power generation activity of lactate biofuel cell in 1 mM (gray curve) and 25 mM lactate (black curve). Peak power measured with a 200 kΩ load.
Figure 6. Fourteen-day measurements of electrical power generation activity of lactate biofuel cell in 1 mM (gray curve) and 25 mM lactate (black curve). Peak power measured with a 200 kΩ load.
Energies 10 01582 g006
Figure 7. Diagram of energy amplification and electrochemical lactate biosensing.
Figure 7. Diagram of energy amplification and electrochemical lactate biosensing.
Energies 10 01582 g007
Figure 8. Calibration curve of self-powered electrochemical lactate biosensor system.
Figure 8. Calibration curve of self-powered electrochemical lactate biosensor system.
Energies 10 01582 g008

Share and Cite

MDPI and ACS Style

Baingane, A.; Slaughter, G. Self-Powered Electrochemical Lactate Biosensing. Energies 2017, 10, 1582. https://doi.org/10.3390/en10101582

AMA Style

Baingane A, Slaughter G. Self-Powered Electrochemical Lactate Biosensing. Energies. 2017; 10(10):1582. https://doi.org/10.3390/en10101582

Chicago/Turabian Style

Baingane, Ankit, and Gymama Slaughter. 2017. "Self-Powered Electrochemical Lactate Biosensing" Energies 10, no. 10: 1582. https://doi.org/10.3390/en10101582

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