Pub Date : 2022-10-14DOI: 10.3389/fceng.2022.959188
Simoneta Caño de las Heras, Carina L. Gargalo, Fiammetta Caccavale, Barbara Kensington-Miller, K. Gernaey, S. Baroutian, U. Krühne
The integration of online platforms in (bio)chemical engineering education has increasingly become a matter of fact at all educational levels. Examples such as virtual laboratories in tertiary education have shown their benefits, such as the decreased cost and resources needed as well as providing a safer environment for practical experimentation. However, students or stakeholders are not usually involved in developing the virtual laboratory, even if, when given the opportunity, they can provide valuable feedback for improvement and acquire ownership over the platform. Hence, when proposing a novel educational process virtual laboratory that targets teaching bioprocess modeling to undergraduate students, the best approach is to involve the students in the development as its future users. To this end, in this work, four co-participatory design experiences are presented that show the journey from a paper prototype to an online educational virtual laboratory (www.biovl.com). Qualitative and quantitative data have been collected in two different universities through surveys, semi-structured interviews, and informal conversations among the students and the developer. The students’ perspectives were found to provide valuable feedback about the platform’s content, usability, and functionality. For example, interest in adding bioprocess-related coding activities, or suggesting to change the platform name, were opinions collected and carefully considered. These suggestions can be easily integrated since the software is at the early stages of the virtual laboratory prototype. Although the usability and functionality features of the platform are under continuous advancement, this work’s findings show that the students are interested in contributing to the virtual laboratory’s development. Therefore, it opens the door to modifications and improvements, which are strongly based on the users’/students’ perceptions and perspectives as the virtual laboratory’s co-designers. Although the primary target of the BioVL prototype is to teach bioprocessing modelling, several advanced tools such as virtual and augmented reality (VR and AR) are being considered to be included at a future stage. Furthermore, the educational strategy proposed in this work can be replicated by those who want to develop other virtual laboratories.
{"title":"From Paper to web: Students as partners for virtual laboratories in (Bio)chemical engineering education","authors":"Simoneta Caño de las Heras, Carina L. Gargalo, Fiammetta Caccavale, Barbara Kensington-Miller, K. Gernaey, S. Baroutian, U. Krühne","doi":"10.3389/fceng.2022.959188","DOIUrl":"https://doi.org/10.3389/fceng.2022.959188","url":null,"abstract":"The integration of online platforms in (bio)chemical engineering education has increasingly become a matter of fact at all educational levels. Examples such as virtual laboratories in tertiary education have shown their benefits, such as the decreased cost and resources needed as well as providing a safer environment for practical experimentation. However, students or stakeholders are not usually involved in developing the virtual laboratory, even if, when given the opportunity, they can provide valuable feedback for improvement and acquire ownership over the platform. Hence, when proposing a novel educational process virtual laboratory that targets teaching bioprocess modeling to undergraduate students, the best approach is to involve the students in the development as its future users. To this end, in this work, four co-participatory design experiences are presented that show the journey from a paper prototype to an online educational virtual laboratory (www.biovl.com). Qualitative and quantitative data have been collected in two different universities through surveys, semi-structured interviews, and informal conversations among the students and the developer. The students’ perspectives were found to provide valuable feedback about the platform’s content, usability, and functionality. For example, interest in adding bioprocess-related coding activities, or suggesting to change the platform name, were opinions collected and carefully considered. These suggestions can be easily integrated since the software is at the early stages of the virtual laboratory prototype. Although the usability and functionality features of the platform are under continuous advancement, this work’s findings show that the students are interested in contributing to the virtual laboratory’s development. Therefore, it opens the door to modifications and improvements, which are strongly based on the users’/students’ perceptions and perspectives as the virtual laboratory’s co-designers. Although the primary target of the BioVL prototype is to teach bioprocessing modelling, several advanced tools such as virtual and augmented reality (VR and AR) are being considered to be included at a future stage. Furthermore, the educational strategy proposed in this work can be replicated by those who want to develop other virtual laboratories.","PeriodicalId":73073,"journal":{"name":"Frontiers in chemical engineering","volume":"19 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41264102","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The glycerol generated as a by-product in the production of biodiesel could be used as a renewable raw material to economically promote the production process. The catalytic conversion of glycerol to a product with higher added value, such as glycerol carbonate, has attracted great interest in the chemical, pharmaceutical, and lithium battery industries, among others, due to its low toxicity, hydration capacity, and biodegradability. Layered-double hydroxide (LDH) materials, the precursors of the catalysts, were synthesized by a direct coprecipitation method to incorporate a third metal ion in addition to magnesium and aluminum ions. This method is the easiest regularly applied technique to design these low cost anionic nanoclay. The atomic percentage of Cu, Zn, or Ni incorporated was 15% of the Mg load in the material. The synthesis atomic ratio, (M2++Mg2+)/Al3+ had a constant value of 3, where M represents the transition metal incorporated. LDHs produced the corresponding mixed metal oxides by thermal decomposition. These materials have excellent properties for reactions catalyzed by the basic sites, high surface area, homogeneous cation dispersion, and thermal stability. The physicochemical material properties were characterized by XRD, N2 sorption, MP-AES, TPD-CO2, SEM, and XPS. The mixed oxides were evaluated in the catalytic conversion of glycerol to glycerol carbonate. The addition of Cu, Ni, or Zn to the matrix of Mg and Al produced changes in its physicochemical properties and mostly in the catalytic activity. X-ray diffractograms of LDHs showed the typical characteristic structure of layers even with metallic ions of Cu, Ni, or Zn incorporated, because their ionic radii are similar to that of the Mg ion, 0.69, 0.73, and 0.74 Å, respectively. The obtained mixed oxides showed a high catalytic activity towards the conversion of glycerol to glycerol carbonate under mild reaction conditions, a 1:2 ratio of glycerol:ethylene carbonate and solvent free. Relative yields higher than 80% were obtained, attributable to an adequate distribution of basicity and textural parameters. The catalysts were used in successive reaction cycles without significant loss of activity.
{"title":"Mixed oxides from calcined layered double hydroxides for glycerol carbonate production to contribute to the biodiesel economy","authors":"Argüello Dalma, Bálsamo Nancy, Eimer Griselda, Crivello Mónica","doi":"10.3389/fceng.2022.1027152","DOIUrl":"https://doi.org/10.3389/fceng.2022.1027152","url":null,"abstract":"The glycerol generated as a by-product in the production of biodiesel could be used as a renewable raw material to economically promote the production process. The catalytic conversion of glycerol to a product with higher added value, such as glycerol carbonate, has attracted great interest in the chemical, pharmaceutical, and lithium battery industries, among others, due to its low toxicity, hydration capacity, and biodegradability. Layered-double hydroxide (LDH) materials, the precursors of the catalysts, were synthesized by a direct coprecipitation method to incorporate a third metal ion in addition to magnesium and aluminum ions. This method is the easiest regularly applied technique to design these low cost anionic nanoclay. The atomic percentage of Cu, Zn, or Ni incorporated was 15% of the Mg load in the material. The synthesis atomic ratio, (M2++Mg2+)/Al3+ had a constant value of 3, where M represents the transition metal incorporated. LDHs produced the corresponding mixed metal oxides by thermal decomposition. These materials have excellent properties for reactions catalyzed by the basic sites, high surface area, homogeneous cation dispersion, and thermal stability. The physicochemical material properties were characterized by XRD, N2 sorption, MP-AES, TPD-CO2, SEM, and XPS. The mixed oxides were evaluated in the catalytic conversion of glycerol to glycerol carbonate. The addition of Cu, Ni, or Zn to the matrix of Mg and Al produced changes in its physicochemical properties and mostly in the catalytic activity. X-ray diffractograms of LDHs showed the typical characteristic structure of layers even with metallic ions of Cu, Ni, or Zn incorporated, because their ionic radii are similar to that of the Mg ion, 0.69, 0.73, and 0.74 Å, respectively. The obtained mixed oxides showed a high catalytic activity towards the conversion of glycerol to glycerol carbonate under mild reaction conditions, a 1:2 ratio of glycerol:ethylene carbonate and solvent free. Relative yields higher than 80% were obtained, attributable to an adequate distribution of basicity and textural parameters. The catalysts were used in successive reaction cycles without significant loss of activity.","PeriodicalId":73073,"journal":{"name":"Frontiers in chemical engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42220850","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-12DOI: 10.3389/fceng.2022.997607
Bipin Chakravarthy Paruchuri, Sarah Smith, Jessica Larsen
GM1 gangliosidosis is a lysosomal storage disorder caused by deficiency of β-galactosidase (βgal) and subsequent accumulation of GM1 ganglioside in lysosomes. One of the pathological aspects of GM1 gangliosidosis, and other storage disorders, is impaired autophagy, i.e., a reduced fusion of autophagosomes and lysosomes to degrade cellular waste. Enzyme replacement therapy (ERT) can effectively treat systemic deficiency but is limited by immunogenicity and shortened half-life of intravenously administered enzyme. In this paper, we report a hyaluronic acid-b-polylactic acid (HA-PLA) polymersome delivery system that can achieve an enzyme-responsive and sustained delivery of βgal to promote the cell’s self-healing process of autophagy. HA-PLA polymersomes have an average diameter of 138.0 ± 17.6 nm and encapsulate βgal with an efficiency of 77.7 ± 3.4%. In the presence of model enzyme Hyaluronidase, HA-PLA polymersomes demonstrate a two-fold higher release of encapsulant than without enzyme. We also identified reduced autophagy in a cellular model of GM1 Gangliosidosis (GM1SV3) compared to healthy cells, illustrated using immunofluorescence. Enhanced autophagy was reported in GM1SV3 cells treated with βgal-loaded polymersomes. Most notably, the fusion of lysosomes and autophagosomes in GM1SV3 cells returned to normal levels of healthy cells after 24 h of polymersome treatment. The HA-PLA polymersomes described here can provide a promising delivery system to treat GM1 Gangliosidosis.
{"title":"Enzyme-responsive polymersomes ameliorate autophagic failure in a cellular model of GM1 gangliosidosis","authors":"Bipin Chakravarthy Paruchuri, Sarah Smith, Jessica Larsen","doi":"10.3389/fceng.2022.997607","DOIUrl":"https://doi.org/10.3389/fceng.2022.997607","url":null,"abstract":"GM1 gangliosidosis is a lysosomal storage disorder caused by deficiency of β-galactosidase (βgal) and subsequent accumulation of GM1 ganglioside in lysosomes. One of the pathological aspects of GM1 gangliosidosis, and other storage disorders, is impaired autophagy, i.e., a reduced fusion of autophagosomes and lysosomes to degrade cellular waste. Enzyme replacement therapy (ERT) can effectively treat systemic deficiency but is limited by immunogenicity and shortened half-life of intravenously administered enzyme. In this paper, we report a hyaluronic acid-b-polylactic acid (HA-PLA) polymersome delivery system that can achieve an enzyme-responsive and sustained delivery of βgal to promote the cell’s self-healing process of autophagy. HA-PLA polymersomes have an average diameter of 138.0 ± 17.6 nm and encapsulate βgal with an efficiency of 77.7 ± 3.4%. In the presence of model enzyme Hyaluronidase, HA-PLA polymersomes demonstrate a two-fold higher release of encapsulant than without enzyme. We also identified reduced autophagy in a cellular model of GM1 Gangliosidosis (GM1SV3) compared to healthy cells, illustrated using immunofluorescence. Enhanced autophagy was reported in GM1SV3 cells treated with βgal-loaded polymersomes. Most notably, the fusion of lysosomes and autophagosomes in GM1SV3 cells returned to normal levels of healthy cells after 24 h of polymersome treatment. The HA-PLA polymersomes described here can provide a promising delivery system to treat GM1 Gangliosidosis.","PeriodicalId":73073,"journal":{"name":"Frontiers in chemical engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43260303","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-12DOI: 10.3389/fceng.2022.994428
Edward Wang, Riley Ballachay, Genpei Cai, Yankai Cao, Heather L. Trajano
Hemicelluloses are amorphous polymers of sugar molecules that make up a major fraction of lignocellulosic biomasses. They have applications in the bioenergy, textile, mining, cosmetic, and pharmaceutical industries. Industrial use of hemicellulose often requires that the polymer be hydrolyzed into constituent oligomers and monomers. Traditional models of hemicellulose degradation are kinetic, and usually only appropriate for limited operating regimes and specific species. The study of hemicellulose hydrolysis has yielded substantial data in the literature, enabling a diverse data set to be collected for general and widely applicable machine learning models. In this paper, a dataset containing 1955 experimental data points on batch hemicellulose hydrolysis of hardwood was collected from 71 published papers dated from 1985 to 2019. Three machine learning models (ridge regression, support vector regression and artificial neural networks) are assessed on their ability to predict xylose yield and compared to a kinetic model. Although the performance of ridge regression was unsatisfactory, both support vector regression and artificial neural networks outperformed the simple kinetic model. The artificial neural network outperformed support vector regression, reducing the mean absolute error in predicting soluble xylose yield of test data to 6.18%. The results suggest that machine learning models trained on historical data may be used to supplement experimental data, reducing the number of experiments needed.
{"title":"Predicting xylose yield from prehydrolysis of hardwoods: A machine learning approach","authors":"Edward Wang, Riley Ballachay, Genpei Cai, Yankai Cao, Heather L. Trajano","doi":"10.3389/fceng.2022.994428","DOIUrl":"https://doi.org/10.3389/fceng.2022.994428","url":null,"abstract":"Hemicelluloses are amorphous polymers of sugar molecules that make up a major fraction of lignocellulosic biomasses. They have applications in the bioenergy, textile, mining, cosmetic, and pharmaceutical industries. Industrial use of hemicellulose often requires that the polymer be hydrolyzed into constituent oligomers and monomers. Traditional models of hemicellulose degradation are kinetic, and usually only appropriate for limited operating regimes and specific species. The study of hemicellulose hydrolysis has yielded substantial data in the literature, enabling a diverse data set to be collected for general and widely applicable machine learning models. In this paper, a dataset containing 1955 experimental data points on batch hemicellulose hydrolysis of hardwood was collected from 71 published papers dated from 1985 to 2019. Three machine learning models (ridge regression, support vector regression and artificial neural networks) are assessed on their ability to predict xylose yield and compared to a kinetic model. Although the performance of ridge regression was unsatisfactory, both support vector regression and artificial neural networks outperformed the simple kinetic model. The artificial neural network outperformed support vector regression, reducing the mean absolute error in predicting soluble xylose yield of test data to 6.18%. The results suggest that machine learning models trained on historical data may be used to supplement experimental data, reducing the number of experiments needed.","PeriodicalId":73073,"journal":{"name":"Frontiers in chemical engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44177641","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-12DOI: 10.3389/fceng.2022.1038183
A. Harvey, M. Poux, J. Aubin
Process intensification in chemical engineering processes has been a topic of significant scientific interest for well over 20 years and its interest in the process industries for diverse applications is prevailing. A wide variety of process-intensifying equipment has been developed over this time and are currently used in industrial applications. This Research Topic focuses on the use of specific equipment for process intensification. It aims covering recent and novel research on processintensifying equipment, ranging from the fundamental physical understanding of process improvement, performance characterization and design guidelines for such devices to applications of industrial interest. Mixing is a cornerstone of process intensification. Often “intensified” reactors and heat exchange devices are simply novel and more effective methods of mixing. Hence, the measurement of mixing is a key underpinning technique in PI research. A variety of methods for in situmeasurements of mixing have been developed, as different techniques are required for different circumstances, due to variations in the phases present, viscosities, opacities etc. In PI. Frey et al.’s paper, “A Novel Approach for Visualizing Mixing Phenomena of Reactive Liquid-Liquid Flows in Milliand Micro-Channels”, the authors describe a new way of measuring small-scale flows, using spatially resolved imaging UV/Vis spectroscopy. The paper, (Matos et al.) “Mixing in the NETmix Reactor” illustrates the uses of simulation in design of intensified process technologies. It describes the modelling of a multiple chamber jet-impingement reactor, allowing optimisation of its geometric parameters. One of the main forms of process intensification in practise is the conversion of inherently inefficient batch processes to more efficient continuous processing. A key element in this conversion is the presence or availability of the necessary analytical OPEN ACCESS
{"title":"Editorial: Fundamentals, design and applications in process-intensifying equipment","authors":"A. Harvey, M. Poux, J. Aubin","doi":"10.3389/fceng.2022.1038183","DOIUrl":"https://doi.org/10.3389/fceng.2022.1038183","url":null,"abstract":"Process intensification in chemical engineering processes has been a topic of significant scientific interest for well over 20 years and its interest in the process industries for diverse applications is prevailing. A wide variety of process-intensifying equipment has been developed over this time and are currently used in industrial applications. This Research Topic focuses on the use of specific equipment for process intensification. It aims covering recent and novel research on processintensifying equipment, ranging from the fundamental physical understanding of process improvement, performance characterization and design guidelines for such devices to applications of industrial interest. Mixing is a cornerstone of process intensification. Often “intensified” reactors and heat exchange devices are simply novel and more effective methods of mixing. Hence, the measurement of mixing is a key underpinning technique in PI research. A variety of methods for in situmeasurements of mixing have been developed, as different techniques are required for different circumstances, due to variations in the phases present, viscosities, opacities etc. In PI. Frey et al.’s paper, “A Novel Approach for Visualizing Mixing Phenomena of Reactive Liquid-Liquid Flows in Milliand Micro-Channels”, the authors describe a new way of measuring small-scale flows, using spatially resolved imaging UV/Vis spectroscopy. The paper, (Matos et al.) “Mixing in the NETmix Reactor” illustrates the uses of simulation in design of intensified process technologies. It describes the modelling of a multiple chamber jet-impingement reactor, allowing optimisation of its geometric parameters. One of the main forms of process intensification in practise is the conversion of inherently inefficient batch processes to more efficient continuous processing. A key element in this conversion is the presence or availability of the necessary analytical OPEN ACCESS","PeriodicalId":73073,"journal":{"name":"Frontiers in chemical engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42522884","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-06DOI: 10.3389/fceng.2022.998289
Lakhan Kumar, Lalit Mohan, Raksha Anand, V. Joshi, M. Chugh, N. Bharadvaja
Globally, the demand for energy is increasing with an emphasis on green fuels for a sustainable future. As the urge for alternative fuels is accelerating, microalgae have emerged as a promising source that can not only produce high lipid but many other platform chemicals. Moreover, it is a better alternative in comparison to conventional feedstock due to yearlong easy and mass cultivation, carbon fixation, and value-added products extraction. To date, numerous studies have been done to elucidate these organisms for large-scale fuel production. However, enhancing the lipid synthesis rate and reducing the production cost still remain a major bottleneck for its economic viability. Therefore, this study compiles information on algae-based biodiesel production with an emphasis on its unit operations from strain selection to biofuel production. Additionally, strategies to enhance lipid accumulation by incorporating genetic, and metabolic engineering and the use of leftover biomass for harnessing bio-products have been discussed. Besides, implementing a biorefinery for extracting oil followed by utilizing leftover biomass to generate value-added products such as nanoparticles, biofertilizers, biochar, and biopharmaceuticals has also been discussed.
{"title":"A review on unit operations, challenges, opportunities, and strategies to improve algal based biodiesel and biorefinery","authors":"Lakhan Kumar, Lalit Mohan, Raksha Anand, V. Joshi, M. Chugh, N. Bharadvaja","doi":"10.3389/fceng.2022.998289","DOIUrl":"https://doi.org/10.3389/fceng.2022.998289","url":null,"abstract":"Globally, the demand for energy is increasing with an emphasis on green fuels for a sustainable future. As the urge for alternative fuels is accelerating, microalgae have emerged as a promising source that can not only produce high lipid but many other platform chemicals. Moreover, it is a better alternative in comparison to conventional feedstock due to yearlong easy and mass cultivation, carbon fixation, and value-added products extraction. To date, numerous studies have been done to elucidate these organisms for large-scale fuel production. However, enhancing the lipid synthesis rate and reducing the production cost still remain a major bottleneck for its economic viability. Therefore, this study compiles information on algae-based biodiesel production with an emphasis on its unit operations from strain selection to biofuel production. Additionally, strategies to enhance lipid accumulation by incorporating genetic, and metabolic engineering and the use of leftover biomass for harnessing bio-products have been discussed. Besides, implementing a biorefinery for extracting oil followed by utilizing leftover biomass to generate value-added products such as nanoparticles, biofertilizers, biochar, and biopharmaceuticals has also been discussed.","PeriodicalId":73073,"journal":{"name":"Frontiers in chemical engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45113270","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-27DOI: 10.3389/fceng.2022.1013873
Diego Díaz-Vázquez, Marycarmen Verduzco Garibay, A. Fernández del Castillo, D. Orozco-Nunnelly, C. Senés-Guerrero, M. Gradilla-Hernández
The Tequila industry is a major producer of wastewater in the state of Jalisco, Mexico. Tequila vinasses (TV) are a residue from the distillation of fermented agave wort during tequila production. TV are difficult to treat due their high organic content, high nutrient loads, acidic pH and high discharge temperature. TV are frequently released into waterbodies or soil without any treatment, leading to environmental degradation of soil and water sources. To reduce the environmental impact of the tequila industry, cost-effective TV revalorization approaches must be developed. The goals of the present study were to assess the treatment and revalorization potential of TV using mono and mixed yeast cultures to produce single-cell protein (SCP) and to analyze yeast community composition using high-throughput sequencing during the mixed-culture fermentation of TV. The fermentation process was performed using a mixed culture of three fodder yeast species (Candida utilis, Rhodotorula mucilaginosa and Kluyveromyces marxianus) during 48 h at benchtop-scale. High-throughput sequencing was performed to assess the relative abundance of the yeast communities. Additionally, a redundancy analysis was performed to analyze the bidirectional influence between yeast communities and pollutant removal (COD, nitrogen, phosphorus, proteins, and sugars). Mixed yeast cultures displayed overall higher pollutant removal rates than monocultures, where C. utilis and K. marxianus contributed the most to pollutant removal and protein accumulation. The R. mucilaginosa population declined rapidly in mixed culture, presumably due to TV acidity and phenolic composition. However, the presence of The R. mucilaginosa in the mixed culture enhanced pollutant removal and amino acid contents. Accordingly, the protein and amino acid content within mixed cultures were significantly higher than those of monocultures, indicating that mixed cultures have a strong potential to produce protein rich biomass from TV, aiding in the transition of both the tequila and the livestock industries to a sustainable circular bioeconomy model by the reintegration of organic material flows into productive processes, reducing raw resource intake and waste generation. The present circular bioeconomy approach could represent a potential to produce 45,664 tons of protein feed yearly, based on the current tequila vinasses generated in the state of Jalisco.
{"title":"Yeast community composition impacts on tequila industry waste treatment for pollution control and waste-to-product synthesis","authors":"Diego Díaz-Vázquez, Marycarmen Verduzco Garibay, A. Fernández del Castillo, D. Orozco-Nunnelly, C. Senés-Guerrero, M. Gradilla-Hernández","doi":"10.3389/fceng.2022.1013873","DOIUrl":"https://doi.org/10.3389/fceng.2022.1013873","url":null,"abstract":"The Tequila industry is a major producer of wastewater in the state of Jalisco, Mexico. Tequila vinasses (TV) are a residue from the distillation of fermented agave wort during tequila production. TV are difficult to treat due their high organic content, high nutrient loads, acidic pH and high discharge temperature. TV are frequently released into waterbodies or soil without any treatment, leading to environmental degradation of soil and water sources. To reduce the environmental impact of the tequila industry, cost-effective TV revalorization approaches must be developed. The goals of the present study were to assess the treatment and revalorization potential of TV using mono and mixed yeast cultures to produce single-cell protein (SCP) and to analyze yeast community composition using high-throughput sequencing during the mixed-culture fermentation of TV. The fermentation process was performed using a mixed culture of three fodder yeast species (Candida utilis, Rhodotorula mucilaginosa and Kluyveromyces marxianus) during 48 h at benchtop-scale. High-throughput sequencing was performed to assess the relative abundance of the yeast communities. Additionally, a redundancy analysis was performed to analyze the bidirectional influence between yeast communities and pollutant removal (COD, nitrogen, phosphorus, proteins, and sugars). Mixed yeast cultures displayed overall higher pollutant removal rates than monocultures, where C. utilis and K. marxianus contributed the most to pollutant removal and protein accumulation. The R. mucilaginosa population declined rapidly in mixed culture, presumably due to TV acidity and phenolic composition. However, the presence of The R. mucilaginosa in the mixed culture enhanced pollutant removal and amino acid contents. Accordingly, the protein and amino acid content within mixed cultures were significantly higher than those of monocultures, indicating that mixed cultures have a strong potential to produce protein rich biomass from TV, aiding in the transition of both the tequila and the livestock industries to a sustainable circular bioeconomy model by the reintegration of organic material flows into productive processes, reducing raw resource intake and waste generation. The present circular bioeconomy approach could represent a potential to produce 45,664 tons of protein feed yearly, based on the current tequila vinasses generated in the state of Jalisco.","PeriodicalId":73073,"journal":{"name":"Frontiers in chemical engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41370374","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-20DOI: 10.3389/fceng.2022.976600
P. Tolvanen, Henrik Grénman, R. Tesser, V. Russo
Reactions on solids is a rather complex, but very important area in the field of Chemical Reaction Engineering, as they are in the core of large-scale industrial sectors such as hydrometallurgy, and biomass valorization. The reactive solids behavior influences greatly the overall reaction kinetics and thus, process efficiency and economics and understanding the factors influencing this is the key for process development and fundamental understanding. Typically, the diffusion of material influences significantly the overall reactivity and the system is also dynamic, as the interacting solid particles may change in geometrical shape during the reaction–therefore the interpretation of kinetics need to be tackled by understanding advanced phenomena and models that describe the change in parameters including shape and surface area. In this special issue, many of the often-encountered scenarios dealing with solid-fluid reactions have been discussed from different angles and methods for overcoming the complexity of a solid-liquid or solid-gas system have been presented. In the perspective article by Salmi et al., the short historical endeavor of solid reaction theory is discussed, and the theory dealing with non-ideal surfaces in a solid-fluid system is thoroughly explained along with the governing mathematical expressions. The approach presented here can be used to describe kinetics of non-ideal solids having surface defects and ultimately the model approaches the model used for completely porous particles. The importance oif the shape factor is thoroughly discussed and emphasized that the main benefit of including non-ideality is to get better kinetic models. In the article by Julcour et al., it was demonstrated how Nickel Slag Carbonation in a Stirred Bead Mill, which is an attrition-leaching carbonation process, can be studied and different modeling approaches are explained in detail. They developed an original thermo-kinetic modelling approach, which combines equilibrium thermodynamic OPEN ACCESS
{"title":"Editorial: Understanding the behavior of reactive solid materials in chemical processes","authors":"P. Tolvanen, Henrik Grénman, R. Tesser, V. Russo","doi":"10.3389/fceng.2022.976600","DOIUrl":"https://doi.org/10.3389/fceng.2022.976600","url":null,"abstract":"Reactions on solids is a rather complex, but very important area in the field of Chemical Reaction Engineering, as they are in the core of large-scale industrial sectors such as hydrometallurgy, and biomass valorization. The reactive solids behavior influences greatly the overall reaction kinetics and thus, process efficiency and economics and understanding the factors influencing this is the key for process development and fundamental understanding. Typically, the diffusion of material influences significantly the overall reactivity and the system is also dynamic, as the interacting solid particles may change in geometrical shape during the reaction–therefore the interpretation of kinetics need to be tackled by understanding advanced phenomena and models that describe the change in parameters including shape and surface area. In this special issue, many of the often-encountered scenarios dealing with solid-fluid reactions have been discussed from different angles and methods for overcoming the complexity of a solid-liquid or solid-gas system have been presented. In the perspective article by Salmi et al., the short historical endeavor of solid reaction theory is discussed, and the theory dealing with non-ideal surfaces in a solid-fluid system is thoroughly explained along with the governing mathematical expressions. The approach presented here can be used to describe kinetics of non-ideal solids having surface defects and ultimately the model approaches the model used for completely porous particles. The importance oif the shape factor is thoroughly discussed and emphasized that the main benefit of including non-ideality is to get better kinetic models. In the article by Julcour et al., it was demonstrated how Nickel Slag Carbonation in a Stirred Bead Mill, which is an attrition-leaching carbonation process, can be studied and different modeling approaches are explained in detail. They developed an original thermo-kinetic modelling approach, which combines equilibrium thermodynamic OPEN ACCESS","PeriodicalId":73073,"journal":{"name":"Frontiers in chemical engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42929139","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-19DOI: 10.3389/fceng.2022.983162
Chao Liu, Yingjie Ma, Dongda Zhang, Jie Li
In this paper, a feasible path-based branch and bound (B&B) algorithm is proposed to solve mixed-integer nonlinear programming problems with highly nonconvex nature through integration of the previously proposed hybrid feasible-path optimisation algorithm and the branch and bound method. The main advantage of this novel algorithm is that our previously proposed hybrid steady-state and time-relaxation-based optimisation algorithm is employed to solve a nonlinear programming (NLP) subproblem at each node during B&B. The solution from a parent node in B&B is used to initialize the NLP subproblems at the child nodes to improve computational efficiency. This approach allows circumventing complex initialisation procedure and overcoming difficulties in convergence of process simulation. The capability of the proposed algorithm is illustrated by several process synthesis and intensification problems using rigorous models.
{"title":"A feasible path-based branch and bound algorithm for strongly nonconvex MINLP problems","authors":"Chao Liu, Yingjie Ma, Dongda Zhang, Jie Li","doi":"10.3389/fceng.2022.983162","DOIUrl":"https://doi.org/10.3389/fceng.2022.983162","url":null,"abstract":"In this paper, a feasible path-based branch and bound (B&B) algorithm is proposed to solve mixed-integer nonlinear programming problems with highly nonconvex nature through integration of the previously proposed hybrid feasible-path optimisation algorithm and the branch and bound method. The main advantage of this novel algorithm is that our previously proposed hybrid steady-state and time-relaxation-based optimisation algorithm is employed to solve a nonlinear programming (NLP) subproblem at each node during B&B. The solution from a parent node in B&B is used to initialize the NLP subproblems at the child nodes to improve computational efficiency. This approach allows circumventing complex initialisation procedure and overcoming difficulties in convergence of process simulation. The capability of the proposed algorithm is illustrated by several process synthesis and intensification problems using rigorous models.","PeriodicalId":73073,"journal":{"name":"Frontiers in chemical engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43895839","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-16DOI: 10.3389/fceng.2022.995221
Jochen Schmidt, W. Peukert
Dry powder coating is used in many industries to tailor the bulk solid characteristics of cohesive powders. Within this paper, the state of the art of dry coating of feedstock materials for powder based additive manufacturing (AM) processes will be reviewed. The focus is on feedstock materials for powder bed fusion AM processes, such as powder bed fusion of polymers with a laser beam and powder bed fusion of metals with lasers or an electron beam. Powders of several microns to several ten microns in size are used and the feedstock’s bulk solid properties, especially the flowability and packing density are of immanent importance in different process steps in particular for powder dosing and spreading of powder layers onto the building area. All these properties can be tuned by dry particle coating. Moreover, possibilities to improve AM processability and to manipulate the resulting microstructure (c.f. grain refinement, dispersion strengthening) by adhering nanoparticles on the powders will be discussed. The effect of dry coating on the obtained powder properties along the whole AM process chain and the resulting part properties is assessed. Moreover, appropriate characterization methods for bulk solid properties of dry-coated AM powders are critically discussed.
{"title":"Dry powder coating in additive manufacturing","authors":"Jochen Schmidt, W. Peukert","doi":"10.3389/fceng.2022.995221","DOIUrl":"https://doi.org/10.3389/fceng.2022.995221","url":null,"abstract":"Dry powder coating is used in many industries to tailor the bulk solid characteristics of cohesive powders. Within this paper, the state of the art of dry coating of feedstock materials for powder based additive manufacturing (AM) processes will be reviewed. The focus is on feedstock materials for powder bed fusion AM processes, such as powder bed fusion of polymers with a laser beam and powder bed fusion of metals with lasers or an electron beam. Powders of several microns to several ten microns in size are used and the feedstock’s bulk solid properties, especially the flowability and packing density are of immanent importance in different process steps in particular for powder dosing and spreading of powder layers onto the building area. All these properties can be tuned by dry particle coating. Moreover, possibilities to improve AM processability and to manipulate the resulting microstructure (c.f. grain refinement, dispersion strengthening) by adhering nanoparticles on the powders will be discussed. The effect of dry coating on the obtained powder properties along the whole AM process chain and the resulting part properties is assessed. Moreover, appropriate characterization methods for bulk solid properties of dry-coated AM powders are critically discussed.","PeriodicalId":73073,"journal":{"name":"Frontiers in chemical engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46622509","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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