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Article

The Reuse of Industrial By-Products for the Synthesis of Innovative Porous Materials, with the Aim to Improve Urban Air Quality

by
Antonella Cornelio
1,
Alessandra Zanoletti
1,
Roberto Braga
2,
Laura Eleonora Depero
1 and
Elza Bontempi
1,*
1
INSTM and Chemistry for Technologies Laboratory, University of Brescia, via Branze 38, 25123 Brescia, Italy
2
Dipartimento di Scienze Biologiche Geologiche e Ambientali, Università di Bologna, Piazza di Porta San Donato 1, 40126 Bologna, Italy
*
Author to whom correspondence should be addressed.
Appl. Sci. 2021, 11(15), 6798; https://doi.org/10.3390/app11156798
Submission received: 2 July 2021 / Revised: 14 July 2021 / Accepted: 21 July 2021 / Published: 23 July 2021
(This article belongs to the Special Issue Recent Advances in Energy Efficiency of Buildings)

Abstract

:
This works concerns the characterization and the evaluation of adsorption capability of innovative porous materials synthesized by using alginates and different industrial by-products: silica fume and bottom ash. Hydrogen peroxide was used as pore former to generate a porosity able to trap particulate matter (PM). These new materials are compared with the reference recently proposed porous SUNSPACE hybrid material, which was obtained in a similar process, by using silica fume. Structural, morphological, colorimetric and porosimetric analyses were performed to evaluate the differences between the obtained SUNSPACE typologies. The sustainability of the proposed materials was evaluated in terms of the Embodied Energy and Carbon Footprint to quantify the benefits of industrial by-products reuse. Adsorption tests were also performed to compare the ability of samples to trap PM. For this aim, titania suspension, with particles size about 300 nm, was used to simulate PM in the nanoparticle range. The results show that the material realized with bottom ash has the best performance.

Graphical Abstract

1. Introduction

Currently, air pollution is one of the main environmental problems that must be faced at the global level. Different studies reveal that more than 90% of humans lives in areas subjected to air pollution [1]. Among the air pollutants, particulate matter (PM) causes the greatest concern [2,3]. PM is generated from natural or anthropogenic sources. The first consists mostly of sea salt, mineral dust (typically from deserts) and volcanic particulate [4] and can be achieved by re-suspended dust or mechanical shearing [5], and the second is derived from combustion processes, vehicle emissions, industrial processing or domestic heating [6]. In particular, a higher concentration of PM occurs during winter seasons, due to car traffic and domestic heating when low temperatures and atmospheric stability hinder PM dispersion [7]. It is estimated that PM is responsible for 8.3 million premature deaths in the world in 2017 [8]. One of the most investigated aspects of PM is its dimension, which strongly determines its capability to penetrate the respiratory system. PM can be classified according to its particle size in PM10 (≤10 µm aerodynamic diameter) and PM2.5 (≤2.5 µm aerodynamic diameter).
The World Health Organization (WHO) reports that long exposure to PM2.5 can generate respiratory and cardiovascular problems [9]. PM is also responsible for diabetes [10], ischemic heart disease and respiratory infection [11]. Moreover, [12] has shown that PM deposition in the respiratory system is higher in the alveolar region followed by the nasal and tracheobronchial region. The International Agency for Research on Cancer revealed that PM2.5 is carcinogenic to humans [8].
During the pandemic, PM was considered a possible source of COVID-19 spread [13,14,15,16], generating additional concerns for populations living in large cities, which are generally the most polluted in terms of PM concentrations [17].
To reduce its concentration, it is possible to act on PM pollution upstream, by controlling the source emissions, or downstream, by removing the particles by means of chemical methods, dry and wet deposition [18]. Literature reveals that vegetation is one of the most efficient methods for air purification through dry deposition onto leaves [3].
Recently, a new innovative and sustainable porous material called SUNSPACE, “SUstaiNable materials Synthesized from by-Products and Alginates for Clean air and better Environment”, has been developed to remove PM from urban areas [19,20]. The importance of this material is twofold: it improves air quality and enables the reuse of industrial by-products.
Economic growth and improved living conditions in the more industrialized countries have led to an increasing demand for goods. This led to large-scale waste production, increasing environmental pollution. The shift from a linear economy to a circular economy marked the turning point. Promoting a more efficient use of resources and recycling, the reuse of wastes allows for the preservation of natural material and reduces landfill disposal [21]. Among the most problematic waste to recycle is industrial waste. It is necessary to ensure that its reuse (for example, after its stabilization) does not create problems for the environment or human health.
In this framework, it is important to highlight that the proposed research activity is in accordance with the SDGs (Sustainable Development Goals), particularly with SDG 11 (Make cities and human settlements inclusive, safe, resilient and sustainable) and SDG 12 (Ensure sustainable consumption and production patterns). Indeed, this work proposes the synthesis and characterization of different SUNSPACE typologies. These new sustainable materials (generated from by-products and waste such as silica fume and bottom ash) are able to increase the resilience of cities [22]. This paper shows an example of circular economy applied in the framework of the Azure Chemistry approach [23].
The original SUNSPACE was synthesized by using silica fume (SF). This by-product is a fine powder (with particle size ranging from 20 to 500 nm) derived from ferro-silicon and silicon metal alloy processing. It is commonly used in construction materials, for example, cement, concrete, bricks or ceramics. It is also demonstrated that SF has good performance as a heavy metals stabilizer [24]. Recently, it has been used in the synthesis of porous material to PM capture [19,20]. The color of silica can change from light to dark grey as a function of the manufacturing process, considering for example, the composition of starting materials, the combustion temperature and the obtained final products [25]. Silica fume used in SUNSPACE synthesis is dark grey. The dark color represents an esthetic limit if the idea is to apply SUNSPACE as plaster on wall or as rooftiles. To overcome this problem, another industrial by-product, bottom ash (BA), was recently proposed for material synthesis and is mainly used with the goal of obtaining a light-colored material [20].
BA is the residue of municipal solid waste incineration (MSWI). It is estimated that BA represents 90% of solid residues generated in incineration plants [21]. Twenty million tons of BA are produced every year in Europe [26]. BA is not considered hazardous waste (2008/98/CE); it contains heavy metal with low volatilization.
Assi et al. revealed that fine fraction of BA (lower than 300 microns) is characterized by a higher leaching concentration of heavy metals, such as Pb and Zn, compared to coarse fraction (more than 1400 microns) [27]. The chemical composition of these ashes (high amount of Al, Si, Ca and Fe) makes them suitable mainly for cement production [28]. Recent work shows the possibility to use BA as a stabilizer agent for fly ash derived from the same incineration process [29]. BA is also used as adsorbent material due to high porosity for heavy metal wastewater treatments [30].
Moreover, another improvement has been introduced in this work. For the first time, hydrogen peroxide was used instead of sodium bicarbonate as a pore former to avoid thermal treatment. This allows for the simplification of the application of materials as plaster and then increases the material sustainability.
Structural, morphological, colorimetric and porosimetric analyses of all SUNSPACE typologies were performed. Additionally, adsorption tests were made to compare the ability of all samples to trap PM.

2. Materials and Methods

2.1. Materials and Reagents

Calcium iodate (Ca(IO3)2, CAS number: 7789-80-2,) sodium alginate (SA, CAS number: 9005-38-3, viscosity c = 1% water at 25 °C 5.0–40.0 cps), sodium bicarbonate (NaHCO3, CAS number 14455-8, ≥99.8% w/w) and hydrogen peroxide (H2O2, CAS number 7722-84-1, 30% w/w) were bought from Sigma Aldrich (St. Louis, Missouri, USA).
Silica fume was kindly provided by Metalleghe spa (Brescia, Italy). Bottom ash, derived from a municipal solid waste incineration plant, and calcium hydroxide were handled by A2A spa. Titanium dioxide powder (Hombitan 97% with 300 nm size) was kindly supplied by Rifra Masterbatches spa (Molinetto di Mazzano, Brescia, Italy).
MilliQ water (Millipore DirectQ-5 purification system) was used for the preparation of porous materials.

2.2. Materials Characterization

Ces Selector software [31] was used to assess the environmental impact of porous materials in terms of the Embodied Energy and Carbon Footprint.
The evaluation of PM entrapment was performed by a total reflection X-ray fluorescence (TXRF) spectrophotometer equipped with Mo anode (S2 PICOFOX, Bruker AXS Microanalysis GmbH (Berlin, Germany)) operating at 750 A and 50 kV. Titania aerosol was generated by Grimm aerosol, Particle-Generator MODEL 7.811.
Structural analysis on porous samples was performed by X-ray-diffraction (XRD) with a Panalytical X’Pert Pro diffractometer equipped with the X’Celerator detector and Cu anode (CuKalpha 1.5406 A) operating at 40 KV and 40 mA. The pattern was collected between 10° and 70° (in 2theta).
The color variation between samples was evaluated using a spectrophotometer (CM-2600d Minolta).
Samples were digested following the EPA method 3052 for siliceous matrices [32] using 4 mL of HNO3 (≥65%), 2 mL of HCl (37%) and 2 mL of HF (48%). The volume of each digested sample was adjusted to 50 mL using MilliQ water.
To quantify the TiO2 concentration, an internal standard Ga (1 mg/L) was added to the digested samples. Ten microliters of this solution were deposited onto a plexiglass circular support and dried. The choice to use plexiglass support instead of quartz is due to the HF adoption in digestion process. Three specimens for each sample were performed. Finally, the spectra evaluation was executed by Spectra Plus 5.3 (Bruker AXS Microanalysis GmbH, Berlin, Germany).
The accessible porosity and pore size distribution were quantified using a Pascal 240 Mercury Porosimeter from Thermo Scientific, capable of intruding mercury by a stepwise increase of pressure from vacuum to 200 MPa. After drying at 60 °C for 12 h, a broken piece of each sample of about 1 × 1 cm size was tested. The volume change of mercury between each pressure step gives a number of parameters, of which the pore size distribution, the accessible porosity, the mode, mean and median pore size values were evaluated from the results.

2.3. Samples Preparation

Six samples were synthetized by different industrial by-products (silica fume or bottom ash). The composition of each sample, expressed in g except for hydrogen peroxide expressed in mL, is reported in Table 1.
First, BA was dried for 1 h at 100 °C to eliminate moisture and then sieved to obtain a fine powder with a size dimension lower than 300 μm. Sample 1 and sample 2 were synthetized according to [20]. Sodium alginate and calcium iodate (used as a cross linker) were mixed vigorously with MilliQ water. Then, silica fume (sample 1) or bottom ash and calcium hydroxide, in the same proportion (sample 2), were added to the compound. Finally, sodium bicarbonate (as pore former) was added. The slurry obtained was put on a heating plate for 1 h at a low temperature (70/80 °C) to allow for pore generation due to sodium bicarbonate decomposition.
To avoid the thermal treatment, sodium bicarbonate was replaced with hydrogen peroxide in the synthesis process of samples 3, 4, 5 and 6. Sample 3 was performed by mixing 9 g of bottom ash, 9 g of calcium hydroxide, 7.2 mL of hydrogen peroxide and 9 mL of MilliQ water. The amorphous phase of BA is expected to react with hydrogen peroxide to promote pozzolanic reaction [33], which favors the formation of a stable material. Sample 4 is characterized by a lower quantity of hydrogen peroxide (5.4 mL) compared to sample 3. Sample 5 was synthetized by mixing vigorously 20 mL of MilliQ water, 0.6 g of sodium alginate and 1 g of calcium iodate until a gel is formed. Then, 17.88 g of silica fume and 7.2 mL of hydrogen peroxide were added. Sample 6 contains a lower quantity of hydrogen peroxide (5.4 mL). After the synthesis, all samples were left at room temperature for 1 week to reach the final consolidation. Figure 1 shows the images of all samples after consolidation.

3. Results and Discussion

3.1. Sample Sustainability

The sustainability analysis of all samples was evaluated in terms of the Embodied Energy (EE) and Carbon Footprint (CF) [34,35,36,37]. The bottom ash pre-treatment and the thermal treatment on a heating plate at a low temperature (70/80 °C), to which some samples were subjected, was considered in the evaluations. In Figure 2, the EE (MJ/kg) versus CF (kg/kg) of six samples is reported. All samples appear to be more sustainable compared to materials commonly used in the filter production such as polypropylene (PP), polyethylene (PE), polyamide (PA) and polystyrene (PS). The samples’ sustainability can be compared with building materials such as brick, Portland cement and concrete due to the idea to propose SUNSPACE use in construction. The graph shows that sample 1 has lower EE, while samples 5 and 6 are more sustainable in terms of CO2 emissions compared to other samples. The higher EE and CF resulting for samples 2, 3 and 4 can be attributed to the use of BA instead of SF in their synthesis. In particular, no pre-treatment is necessary for silica fume before its reuse. Instead, BA was subjected to a thermal treatment, to reduce its moisture, to control the amount of water that was added (see Table 1) and to guarantee the sample’s workability during the synthesis. However, in the future, it may also be possible to find more sustainable BA pre-treatment to increase the sustainability of its use.

3.2. Sample Colorimeter

BA is used instead of SF with the aim to lighten the porous material, as shown in Figure 1. Colorimetric analysis allows for the definition of a color with CIELAB coordinates: L (luminance) and two colors channel (a and b). L values are presented between 0 (dark) and 100 (white), while a and b are presented between negative and positive values. Negative values represent green and blue colors, while positive values are red and yellow for a and b, respectively. Table 2 shows the results of colorimetric analysis of all samples. It is evident that the colors are very different. Indeed, samples synthetized with SF (samples 1, 5 and 6) have lower L values (38.83 < L < 47.46) compared with samples obtained starting from BA (samples 2, 3 and 4) (81.97< L < 86.01).

3.3. Structural Analysis

An XRD analysis of samples 1 (SUNSPACE) and 2 (SUNSPACE with BA) is reported in previous work [20]. In Figure 3, the XRD patterns of samples 3, 4, 5 and 6 are shown. Samples 3 and 4 show similar patterns. The identified crystalline phases are calcium carbonate (CaCO3) and quartz (SiO2), both predominant in bottom ash powder [29], and calcium hydroxide (Ca(OH)2) used in the material synthesis. Moreover, calcium carbonate is also probably formed during the carbonation reaction between calcium hydroxide and CO2, as already extensively discussed in literature [38,39,40,41]. Some peaks can be attributed to aluminum silicate hydroxide chloride. From this analysis, it is possible to conclude that the hydrogen peroxide concentration does not seem to involve structural changes in the samples. Additionally, samples 5 and 6 show similar XRD patterns. They are characterized by the presence of a large halo (between 15° and 30° in 2theta), that can be attributed to an amorphous phase due to the presence of silica fume, which is an amorphous material [17,24,42,43]. Furthermore, cristobalite (SiO2) and lautarite (Ca(IO3)2) peaks are identified. Calcium iodate is used in the synthesis of these samples.

3.4. Morphological Analysis

Figure 4 shows the optical microscopy of samples 1 (a), 2 (b), 3 (c), 4 (d), 5 (e) and 6 (f). All samples show a visible porosity. The main differences concern the shape and size of the pores. Sample 1 reveals the presence of macro-porous between 100 and 200 µm, while sample 2 is characterized by pores with sizes up to 1 mm. Sample 3 shows a highly porous surface, rich in circular pores. The larger pores have a diameter of about 300 µm. The morphology of sample 4 is similar to that of the previous one, but there are some larger pores. This is probably correlated to the lower amount of pore former used for the synthesis of this sample. Samples with SF present pores with irregular shapes and dimensions of about 100–200 µm (sample 5) and 500 µm (sample 6).

3.5. Porosimetric Analysis

The pore size distributions of samples are shown in Figure 5, while Table 3 summarizes the basic descriptive statistics.
The accessible porosity by intrusion is always above 41%, with a maximum of 63% for the sample 2. The anomalously low value for sample 3 (about 3% accessible porosity), which is clearly at odds with the morphological observations, indicates sample deformation and porosity collapse during the test. The sample 3 is therefore not considered in the mercury porosimetry results.
The pore sizes of the samples 1, 5 and 6, all of which were prepared with SF, follow a unimodal distribution with a pore radius mode of 0.08–0.1 µm. The sample 4 shows a bimodal pore size distribution, with a main peak at about 0.65 µm and a secondary peak related to larger pores with a radius of about 7–8 µm. Finally, the pore size distribution of sample 2 spans about an order of magnitude, with a mode of 1.79 µm.

3.6. Sample PM Capability

The performance in PM trapping of SUNSPACE and SUNSPACE synthesized by using BA was evaluated in previous work [20]. In this paper, these values were compared with samples 3, 4, 5 and 6.
To evaluate the adsorption capacity of these porous materials, three samples of each material were exposed to a TiO2 suspension with size dimension of 300 nm, 3 g/L. The suspension was prepared according to [20] and then sprayed using Grimm aerosol nanoparticle generator. The same experimental set up of [20] was performed. Samples were exposed for 4 min, after 1 min of stabilization.
To evaluate the amount of trapped TiO2 by each specimen, pristine and exposed samples were compared. They were scraped to obtain 0.25 g of powder from each sample for chemical analysis. For this aim, samples were digested according to the procedure reported in the experimental section. The Ti concentration (mg/L) was evaluated by TXRF analysis and then converted to TiO2 expressed in mg/kg.
Figure 6 shows the comparison between pristine and exposed samples synthetized by BA (Figure 6a) (sample 3 and 4) and SF (Figure 6b) (sample 5 and 6). The results show that pristine materials always present a titania amount lower than that of corresponding materials, which were subjected to titania flux.
It is also apparent that the pristine samples synthetized with BA are characterized by a higher concentration of titania than those generated with SF. Indeed, as reported in the literature, BA is characterized by titania (about 1%wt) [27,28,44,45].
Using both using BA and SF, samples 4 and 6 (characterized by a lower hydrogen peroxide concentration) obtained good results despite their different pore structure. Sample 4 is characterized by a bimodal pore size distribution. The presence of interconnected pores with sizes more than 1 µm suggests an open structure that favors the uptake of PM. Sample 6 shows a uniform structure, with pores of a lower dimension (about 0.1 µm). The graph shows that sample 4 seems to have the best performance. High concentrations of TiO2 (about 300 mg/kg) penetrated into its porous surface.

4. Conclusions

This work shows a comparison of innovative porous materials synthetized by bottom ash and silica fume (as raw materials) to promote circular economy and new solutions to improve urban air quality. Some variations in the synthesis process were performed in the framework of the Azure chemistry approach. The use of hydrogen peroxide instead of sodium bicarbonate circumvented the heating process. This simplifies the synthesis process and, consequently, the application of material as plaster. All of the samples were characterized by structural, morphological, porosimetric and colorimetric analyses. The use of BA results in a lighter-colored material than the one realized with SF. Samples realized by SF and BA show different porous structures. The materials synthetized by SF are characterized by smaller pore sizes (0.08–0.1 µm) than those made with BA (0.65–8 µm). The porous materials investigated in this work were designed to reduce PM concentrations, so an adsorption capacity test was carried out. According to the results, sample 4 (synthetized with bottom ash) shows the best performance. For the future, some variation in the BA treatment will be considered to promote the sustainability of the material.

Author Contributions

Conceptualization, A.C., A.Z. and E.B.; software, A.Z.; formal analysis, A.C. and A.Z.; investigation, A.C., A.Z. and R.B.; data curation, A.C. and A.Z.; writing—original draft preparation, A.C., A.Z., R.B. and E.B.; writing—review and editing, L.E.D. and E.B.; supervision, E.B.; project administration, L.E.D. and E.B.; funding acquisition, L.E.D. and E.B. All authors have read and agreed to the published version of the manuscript.

Funding

This research was conducted in the framework of the RENDERING project: “Energy recovery of waste sludge and their re-use as an alternative to some natural resources, for the production of Green composites”, funded by Ministero dell’Ambiente e della Tutela del Territorio e del Mare-Direzione generale dei rifiuti e dell’inquinamento. It is supported by the University of Brescia, CSMT, INSTM and Regione Lombardia.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Data is contained within the article.

Acknowledgments

Fausto Peddis (Dip. Di Ingegneria Civile, Chimica, Ambientale e dei materiali—DICAM).

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. Images of samples synthetized with silica fume (a,e,f) and with bottom ash (bd).
Figure 1. Images of samples synthetized with silica fume (a,e,f) and with bottom ash (bd).
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Figure 2. Sustainability analysis of all six samples in terms of the Embodied Energy (EE) and Carbon Footprint (CF).
Figure 2. Sustainability analysis of all six samples in terms of the Embodied Energy (EE) and Carbon Footprint (CF).
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Figure 3. XRD patterns of samples 3, 4, 5 and 6.
Figure 3. XRD patterns of samples 3, 4, 5 and 6.
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Figure 4. Optical microscopy images of samples sythetized with silica fume: sample 1 (a), 5 (e) and 6 (f) and bottom ash: sample 2 (b), sample 3 (c) and 4 (d).
Figure 4. Optical microscopy images of samples sythetized with silica fume: sample 1 (a), 5 (e) and 6 (f) and bottom ash: sample 2 (b), sample 3 (c) and 4 (d).
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Figure 5. Pore size distributions of all six samples quantified by mercury porosimetry analysis.
Figure 5. Pore size distributions of all six samples quantified by mercury porosimetry analysis.
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Figure 6. Amount of TiO2 concentration on SUNSPACE samples synthetized by (a) bottom ash (samples 3 and 4) and (b) silica fume (samples 5 and 6). Pristine samples were not in contact with titania nanoparticles. The other samples were exposed to TiO2.
Figure 6. Amount of TiO2 concentration on SUNSPACE samples synthetized by (a) bottom ash (samples 3 and 4) and (b) silica fume (samples 5 and 6). Pristine samples were not in contact with titania nanoparticles. The other samples were exposed to TiO2.
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Table 1. Composition of porous samples. Samples 1, 5 and 6 were synthetized by silica fume, while samples 2, 3 and 4 were synthesized by bottom ash.
Table 1. Composition of porous samples. Samples 1, 5 and 6 were synthetized by silica fume, while samples 2, 3 and 4 were synthesized by bottom ash.
Silica Fume (SF)
(g)
Bottom Ash (BA)
(g)
Ca(OH)2
(g)
NaC6H7O6
(g)
Ca(IO3)2
(g)
NaHCO3
(g)
H2O2
(mL)
Sample 117.88--0.615-
Sample 2-990.615-
Sample 3-99---7.2
Sample 4-99---5.4
Sample 517.88--0.61-7.2
Sample 617.88--0.61-5.4
Table 2. Colorimetric analysis of all samples. Data found including (SCI) and excluding (SCE) specular component.
Table 2. Colorimetric analysis of all samples. Data found including (SCI) and excluding (SCE) specular component.
SamplesSCISCE
LabLab
Sample 138.83 ± 0.01−0.92 ± 0.01−2.33 ± 0.0139.61 ± 0.01−0.89 ± 0.02−2.36 ± 0.01
Sample 281.97 ± 0.010.77 ± 0.016.34 ± 0.0181.49 ± 0.010.80 ± 0.016,22 ± 0.01
Sample 386.32 ± 0.010.16 ± 0.013.13 ± 0.0185.86 ± 0.010.21 ± 0.013.03 ± 0.02
Sample 486.01 ± 0.010.21 ± 0.013.41 ± 0.0185.82 ± 0.010.26 ± 0.103.31 ± 0.01
Sample 546.69 ± 0.390.63 ± 0.020.76 ± 0.2446.45 ± 0.390.59 ± 0.020.83 ± 0.24
Sample 647.46 ± 0.520.81 ± 0.021.46 ± 0.0647.21 ± 0.510.78 ± 0.011.53 ± 0.07
Table 3. Results from mercury intrusion porosimetry.
Table 3. Results from mercury intrusion porosimetry.
SampleAccessible Porosity
(%)
Average Pore Radius (µm)Median Pore Radius (µm)Modal Pore Radius (µm)
141.10.03560.07770.0849
263.20.02821.78081.7938
33.40.01419.68965.6504
458.10.03870.61530.6127
551.60.04180.09540.1058
649.10.04550.09110.1063
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Cornelio, A.; Zanoletti, A.; Braga, R.; Depero, L.E.; Bontempi, E. The Reuse of Industrial By-Products for the Synthesis of Innovative Porous Materials, with the Aim to Improve Urban Air Quality. Appl. Sci. 2021, 11, 6798. https://doi.org/10.3390/app11156798

AMA Style

Cornelio A, Zanoletti A, Braga R, Depero LE, Bontempi E. The Reuse of Industrial By-Products for the Synthesis of Innovative Porous Materials, with the Aim to Improve Urban Air Quality. Applied Sciences. 2021; 11(15):6798. https://doi.org/10.3390/app11156798

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Cornelio, Antonella, Alessandra Zanoletti, Roberto Braga, Laura Eleonora Depero, and Elza Bontempi. 2021. "The Reuse of Industrial By-Products for the Synthesis of Innovative Porous Materials, with the Aim to Improve Urban Air Quality" Applied Sciences 11, no. 15: 6798. https://doi.org/10.3390/app11156798

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