Pub Date : 2025-08-28DOI: 10.1007/s12155-025-10886-0
G. Chavez-Esquivel, J. M. Ortega-Hernández, G. G. García-Camacho, J. C. García-Martínez, J. A. Tavizón-Pozos
This work proposes the use of a novel non-magnetic SrFe/CaO catalyst derived from waste materials, which have not been reported for biodiesel production under microwave conditions. Also, it evaluates the interaction of multiple reaction factors through statistical modeling. While CaO has been widely used in biodiesel production, its leaching and limited stability have motivated the search for improved materials. Hence, the Sr/CaO, Fe/CaO, and SrFe/CaO catalysts were synthesized by incipient impregnation of the calcined eggshells with Sr and Fe salts, followed by calcination at 800 °C. N2-physisorption, XRD, and Hammett indicators were used as characterization techniques of the catalysts, and the reaction was performed in a batch reactor under microwave irradiation at 60 °C. The SrFe/CaO catalyst exhibited the highest basicity (60 mmol g−1), possibly due to the formation of the α-Fe2O3 phase, and achieved a biodiesel yield of 92%. Further optimization using the Box-Behnken response surface methodology revealed that reaction time and the methanol-to-oil ratio significantly affected the yield, while microwave power had a minor influence. The optimal conditions for this system were 56 min, 150 W, and a methanol-to-oil ratio of 10:1, which resulted in a maximum biodiesel yield of 98.87%. Despite the promising activity, catalyst stability decreased over reuse cycles, likely due to CaO leaching.
{"title":"Microwave-Assisted Transesterification of Soybean Oil Using Eggshell-Derived SrFe/CaO Catalysts","authors":"G. Chavez-Esquivel, J. M. Ortega-Hernández, G. G. García-Camacho, J. C. García-Martínez, J. A. Tavizón-Pozos","doi":"10.1007/s12155-025-10886-0","DOIUrl":"10.1007/s12155-025-10886-0","url":null,"abstract":"<div><p>This work proposes the use of a novel non-magnetic SrFe/CaO catalyst derived from waste materials, which have not been reported for biodiesel production under microwave conditions. Also, it evaluates the interaction of multiple reaction factors through statistical modeling. While CaO has been widely used in biodiesel production, its leaching and limited stability have motivated the search for improved materials. Hence, the Sr/CaO, Fe/CaO, and SrFe/CaO catalysts were synthesized by incipient impregnation of the calcined eggshells with Sr and Fe salts, followed by calcination at 800 °C. N<sub>2</sub>-physisorption, XRD, and Hammett indicators were used as characterization techniques of the catalysts, and the reaction was performed in a batch reactor under microwave irradiation at 60 °C. The SrFe/CaO catalyst exhibited the highest basicity (60 mmol g<sup>−1</sup>), possibly due to the formation of the α-Fe<sub>2</sub>O<sub>3</sub> phase, and achieved a biodiesel yield of 92%. Further optimization using the Box-Behnken response surface methodology revealed that reaction time and the methanol-to-oil ratio significantly affected the yield, while microwave power had a minor influence. The optimal conditions for this system were 56 min, 150 W, and a methanol-to-oil ratio of 10:1, which resulted in a maximum biodiesel yield of 98.87%. Despite the promising activity, catalyst stability decreased over reuse cycles, likely due to CaO leaching.</p></div>","PeriodicalId":487,"journal":{"name":"BioEnergy Research","volume":"18 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12155-025-10886-0.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144909756","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-08-28DOI: 10.1007/s12155-025-10887-z
Mateus Alves Magalhães, Angélica de Cássia Oliveira Carneiro, Tiago Guimarães, Márcio Aredes Martins, Gabriel Browne de Deus Ribeiro, Aylson Costa Oliveira, Barbara Corradi, Vinicius Resende de Castro, Solange de Oliveira Araújo, Paulo Fernando Trugilho, Iara Fontes Demuner, Ana Márcia Macedo Ladeira Carvalho
This study optimized syngas production from Eucalyptus sp. wood chips in a pilot-scale downdraft gasifier through physical modifications (a barrier in the reduction zone) and low-cost catalysts (iron ore and nickel oxide), aiming to enhance gas quality and process efficiency for decentralized bioenergy systems. CFD simulations guided barrier design, increasing gas residence time by 50% (from 4.6 to 6.9 s) and Reynolds number in the reduction zone to > 280, enhancing turbulence. Experimental results showed that the iron ore catalyst boosted hydrogen content to 10.0 vol%, while the nickel catalyst achieved an optimal H₂/CO ratio of 2.3:1 for syngas applications. Combined use of both catalysts with steam further elevated the H₂/CO ratio to 4.19:1. Despite a minor reduction in lower heating value (LHV) from 4.07 to 3.95 MJ/Nm3, the barrier improved operational stability, reducing temperature fluctuations by 100 °C. Cold gas efficiency reached 54.7% for steam-assisted gasification. These results demonstrate the potential of low-cost modifications to enhance gasifier performance.
{"title":"Performance Improvement of Downdraft Biomass Gasification Using a Physical Barrier and Low-Cost Catalysts for Syngas Enhancement","authors":"Mateus Alves Magalhães, Angélica de Cássia Oliveira Carneiro, Tiago Guimarães, Márcio Aredes Martins, Gabriel Browne de Deus Ribeiro, Aylson Costa Oliveira, Barbara Corradi, Vinicius Resende de Castro, Solange de Oliveira Araújo, Paulo Fernando Trugilho, Iara Fontes Demuner, Ana Márcia Macedo Ladeira Carvalho","doi":"10.1007/s12155-025-10887-z","DOIUrl":"10.1007/s12155-025-10887-z","url":null,"abstract":"<div><p>This study optimized syngas production from <i>Eucalyptus </i>sp. wood chips in a pilot-scale downdraft gasifier through physical modifications (a barrier in the reduction zone) and low-cost catalysts (iron ore and nickel oxide), aiming to enhance gas quality and process efficiency for decentralized bioenergy systems. CFD simulations guided barrier design, increasing gas residence time by 50% (from 4.6 to 6.9 s) and Reynolds number in the reduction zone to > 280, enhancing turbulence. Experimental results showed that the iron ore catalyst boosted hydrogen content to 10.0 vol%, while the nickel catalyst achieved an optimal H₂/CO ratio of 2.3:1 for syngas applications. Combined use of both catalysts with steam further elevated the H₂/CO ratio to 4.19:1. Despite a minor reduction in lower heating value (LHV) from 4.07 to 3.95 MJ/Nm<sup>3</sup>, the barrier improved operational stability, reducing temperature fluctuations by 100 °C. Cold gas efficiency reached 54.7% for steam-assisted gasification. These results demonstrate the potential of low-cost modifications to enhance gasifier performance.</p></div>","PeriodicalId":487,"journal":{"name":"BioEnergy Research","volume":"18 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144914806","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-08-19DOI: 10.1007/s12155-025-10882-4
Caio Cesar Nemer Martins, Vinícius Resende de Castro, Paulo Ricardo Gherardi Hein, Angélica de Cássia Oliveira Carneiro, Adriano Reis Prazeres Mascarenhas, Lina Bufalino, Dayane Targino de Medeiros, Mário Vanoli Scatolino, Michael Douglas Roque Lima, Jeferson Silva Cunha, Irene Andressa, Rafael Silveira Gomes Cardoso, Iara Fontes Demuner
Monitoring charcoal quality is essential for the industry. Near-infrared (NIR) spectroscopy enables fast and accurate predictions of key properties. This study evaluated the use of benchtop and portable NIR sensors to predict charcoal characteristics from woody biomass of 15 commercial clones (11 Eucalyptus and 4 Corymbia). Two trees per clone were sampled at six stem positions, generating 30 composite wood samples. After carbonization and grinding, spectral data were collected, totaling 600 spectra per sensor. Partial least squares regression was used to develop models for gravimetric yield (GY), apparent relative density (ARD), fines content (FC), volatile matter content (VMC), ash content (AC), and fixed carbon content (FCC). For Eucalyptus clones, the benchtop sensor outperformed the portable one for GY (R2p = 0.74; RPD = 2.02), ARD (R2p = 0.87; RPD = 2.82), VMC (R2p = 0.72; RPD = 1.92), AC (R2p = 0.72; RPD = 1.92), and FCC (R2p = 0.63; RPD = 1.64). The portable sensor was better only for FC (R2p = 0.64; RPD = 1.60). Similarly, for Corymbia clones, the benchtop sensor performed better for GY (R2p = 0.79; RPD = 2.15), ARD (R2p = 0.87; RPD = 2.77), FC (R2p = 0.69; RPD = 1.73), and AC (R2p = 0.61; RPD = 1.62). The portable sensor showed better results for FCC (R2p = 0.61; RPD = 1.48) and VMC (R2p = 0.64; RPD = 1.40). Overall, benchtop and portable NIR spectrometers showed similar performance in estimating charcoal parameters.
{"title":"Prediction of the Energy Properties of Charcoal Obtained from Eucalyptus and Corymbia Biomass Using Portable and Benchtop NIR Spectrometers","authors":"Caio Cesar Nemer Martins, Vinícius Resende de Castro, Paulo Ricardo Gherardi Hein, Angélica de Cássia Oliveira Carneiro, Adriano Reis Prazeres Mascarenhas, Lina Bufalino, Dayane Targino de Medeiros, Mário Vanoli Scatolino, Michael Douglas Roque Lima, Jeferson Silva Cunha, Irene Andressa, Rafael Silveira Gomes Cardoso, Iara Fontes Demuner","doi":"10.1007/s12155-025-10882-4","DOIUrl":"10.1007/s12155-025-10882-4","url":null,"abstract":"<div><p>Monitoring charcoal quality is essential for the industry. Near-infrared (NIR) spectroscopy enables fast and accurate predictions of key properties. This study evaluated the use of benchtop and portable NIR sensors to predict charcoal characteristics from woody biomass of 15 commercial clones (11 <i>Eucalyptus</i> and 4 <i>Corymbia</i>). Two trees per clone were sampled at six stem positions, generating 30 composite wood samples. After carbonization and grinding, spectral data were collected, totaling 600 spectra per sensor. Partial least squares regression was used to develop models for gravimetric yield (GY), apparent relative density (ARD), fines content (FC), volatile matter content (VMC), ash content (AC), and fixed carbon content (FCC). For <i>Eucalyptus</i> clones, the benchtop sensor outperformed the portable one for GY (R<sup>2</sup>p = 0.74; RPD = 2.02), ARD (R<sup>2</sup>p = 0.87; RPD = 2.82), VMC (R<sup>2</sup>p = 0.72; RPD = 1.92), AC (R<sup>2</sup>p = 0.72; RPD = 1.92), and FCC (R<sup>2</sup>p = 0.63; RPD = 1.64). The portable sensor was better only for FC (R<sup>2</sup>p = 0.64; RPD = 1.60). Similarly, for <i>Corymbia</i> clones, the benchtop sensor performed better for GY (R<sup>2</sup>p = 0.79; RPD = 2.15), ARD (R<sup>2</sup>p = 0.87; RPD = 2.77), FC (R<sup>2</sup>p = 0.69; RPD = 1.73), and AC (R<sup>2</sup>p = 0.61; RPD = 1.62). The portable sensor showed better results for FCC (R<sup>2</sup>p = 0.61; RPD = 1.48) and VMC (R<sup>2</sup>p = 0.64; RPD = 1.40). Overall, benchtop and portable NIR spectrometers showed similar performance in estimating charcoal parameters.</p></div>","PeriodicalId":487,"journal":{"name":"BioEnergy Research","volume":"18 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144868722","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Biogas is a promising renewable energy source that is produced by anaerobic digestion of organic waste and is mainly made up of carbon dioxide (CO2) and methane (CH4). However, its direct application is limited due to the presence of impurities such as CO2, hydrogen sulfide (H2S), water vapor, and trace gases (hydrogen sulfide, hydrogen, ammonia, nitrogen, oxygen, siloxanes, and carbon monoxide) that reduce its calorific value and cause operational issues. Their presence is undesirable since it lowers the calorific value of biogas and causes a number of issues with machine performance. Therefore, throughout the process of converting biogas into biomethane, multi-stage technologies for their removal are employed. This review provides a comprehensive overview of recent advances and future directions in biogas-upgrading technologies. Conventional physicochemical methods such as water scrubbing, chemical absorption, pressure swing adsorption (PSA), membrane separation, and cryogenic techniques are critically discussed with respect to efficiency, energy consumption, operational complexity, and cost. Furthermore, emerging biological upgrading technologies, including in situ and ex situ hydrogenotrophic methanation, and microalgae-based CO2 fixation have been highlighted. These biological methods offer eco-friendly and cost-effective alternatives by converting CO2 into CH4 under mild conditions, although their scalability and integration into existing infrastructure remain under exploration. The review highlights technological challenges, comparative performances, and research gaps, offering insights into integrated and hybrid approaches that combine physicochemical and biological pathways for optimal biogas purification. This work serves as a reference for researchers and practitioners seeking sustainable and efficient biogas-upgrading solutions for grid injection, transportation fuel, and decentralized energy systems. The readers will learn about the scientific and technological obstacles to biogas technology advancement from this review.
{"title":"Recent Progresses and Future Perspective of Biogas-Upgrading Techniques","authors":"Getu Alemayehu Melas, Nigus Gabbiye Habtu, Ababay Ketema Worku, Eshetu Getahun","doi":"10.1007/s12155-025-10875-3","DOIUrl":"10.1007/s12155-025-10875-3","url":null,"abstract":"<div><p>Biogas is a promising renewable energy source that is produced by anaerobic digestion of organic waste and is mainly made up of carbon dioxide (CO<sub>2</sub>) and methane (CH<sub>4</sub>). However, its direct application is limited due to the presence of impurities such as CO<sub>2</sub>, hydrogen sulfide (H<sub>2</sub>S), water vapor, and trace gases (hydrogen sulfide, hydrogen, ammonia, nitrogen, oxygen, siloxanes, and carbon monoxide) that reduce its calorific value and cause operational issues. Their presence is undesirable since it lowers the calorific value of biogas and causes a number of issues with machine performance. Therefore, throughout the process of converting biogas into biomethane, multi-stage technologies for their removal are employed. This review provides a comprehensive overview of recent advances and future directions in biogas-upgrading technologies. Conventional physicochemical methods such as water scrubbing, chemical absorption, pressure swing adsorption (PSA), membrane separation, and cryogenic techniques are critically discussed with respect to efficiency, energy consumption, operational complexity, and cost. Furthermore, emerging biological upgrading technologies, including in situ and ex situ hydrogenotrophic methanation, and microalgae-based CO<sub>2</sub> fixation have been highlighted. These biological methods offer eco-friendly and cost-effective alternatives by converting CO<sub>2</sub> into CH<sub>4</sub> under mild conditions, although their scalability and integration into existing infrastructure remain under exploration. The review highlights technological challenges, comparative performances, and research gaps, offering insights into integrated and hybrid approaches that combine physicochemical and biological pathways for optimal biogas purification. This work serves as a reference for researchers and practitioners seeking sustainable and efficient biogas-upgrading solutions for grid injection, transportation fuel, and decentralized energy systems. The readers will learn about the scientific and technological obstacles to biogas technology advancement from this review.</p></div>","PeriodicalId":487,"journal":{"name":"BioEnergy Research","volume":"18 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144861490","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-08-14DOI: 10.1007/s12155-025-10876-2
Rashi Bamrotwar, Sejal Bhairam, Chetana Akhand, Nishant A. Dafale
The worldwide demand for renewable energy alternatives with agricultural stubble has driven the advancement of second-generation (2G) biofuels. Despite the abundance of stubble, it remains underexploited due to the complexity of plant cell walls, posing a noteworthy challenge to efficient biotransformation. The review explores recent advancements in extremophilic glycoside hydrolases (GHs) as promising biocatalysts to overcome biomass complexity. The study analyses recent innovations revealing how these robust enzymes, integrated with computational and biotechnology tools, unlock new ways to convert agricultural waste into bioenergy. The novel interdisciplinary convergence of microbiology, protein engineering, and artificial intelligence is highlighted for emerging innovations in enzyme design and formulation. Furthermore, recently discovered lytic polysaccharide monooxygenases (LPMOs) with GHs in enzyme cocktails synergistically enhance saccharification, facilitating the breakdown of complex polysaccharides. This synergy, combined with innovations in advanced recombinant DNA technology, synthetic biology, machine learning, and artificial intelligence, offers novel strategies for designing robust enzyme cocktails. Computational analysis of extremophilic endoglucanases identified conserved glycine, proline, and tryptophan residues as key contributors to structural integrity and catalysis in extreme environments. The review identifies emerging business opportunities in enzyme-based biomass valorization and outlines prospective directions for future research, including challenges in enzyme stability, process scalability, and integration into biorefineries.
{"title":"Emerging Trends in Glycoside Hydrolases-Based Innovations for Sustainable Stubble Transformation into Biofuel","authors":"Rashi Bamrotwar, Sejal Bhairam, Chetana Akhand, Nishant A. Dafale","doi":"10.1007/s12155-025-10876-2","DOIUrl":"10.1007/s12155-025-10876-2","url":null,"abstract":"<div><p>The worldwide demand for renewable energy alternatives with agricultural stubble has driven the advancement of second-generation (2G) biofuels. Despite the abundance of stubble, it remains underexploited due to the complexity of plant cell walls, posing a noteworthy challenge to efficient biotransformation. The review explores recent advancements in extremophilic glycoside hydrolases (GHs) as promising biocatalysts to overcome biomass complexity. The study analyses recent innovations revealing how these robust enzymes, integrated with computational and biotechnology tools, unlock new ways to convert agricultural waste into bioenergy. The novel interdisciplinary convergence of microbiology, protein engineering, and artificial intelligence is highlighted for emerging innovations in enzyme design and formulation. Furthermore, recently discovered lytic polysaccharide monooxygenases (LPMOs) with GHs in enzyme cocktails synergistically enhance saccharification, facilitating the breakdown of complex polysaccharides. This synergy, combined with innovations in advanced recombinant DNA technology, synthetic biology, machine learning, and artificial intelligence, offers novel strategies for designing robust enzyme cocktails. Computational analysis of extremophilic endoglucanases identified conserved glycine, proline, and tryptophan residues as key contributors to structural integrity and catalysis in extreme environments. The review identifies emerging business opportunities in enzyme-based biomass valorization and outlines prospective directions for future research, including challenges in enzyme stability, process scalability, and integration into biorefineries.</p></div>","PeriodicalId":487,"journal":{"name":"BioEnergy Research","volume":"18 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144832023","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-08-14DOI: 10.1007/s12155-025-10879-z
Claudia L. Gómez, Helen C. Inciarte, Laura M. Orozco, Luis A. Rios
Renewable diesel is a biofuel produced via hydro-processing of glycerides and fatty acids, offering a molecular structure closely resembling that of fossil diesel. This characteristic makes it a promising alternative for partially replacing conventional fuels, as it can be blended with petroleum diesel in high concentrations or used directly in compression ignition engines without modification. In this study, the effects of blending renewable diesel derived from fatty acids obtained from waste chicken fat with petroleum diesel were evaluated by analyzing their physicochemical properties according to ASTM D975 and EN 590 standards. The renewable diesel production involved two key stages: (1) hydrolyzing chicken fat waste at 250 °C for 120 min, achieving a 95% conversion to fatty acids, and (2) catalytic deoxygenation of the fatty acids using a sulfurized NiMo/Al2O3 catalyst, yielding 92% n-alkanes with 99% purity. The hydrolysis step was aimed at decreasing the amount of hydrogen in the hydrotreating step. The resulting biofuel blends exhibited excellent quality, with key parameters meeting regulatory standards: kinematic viscosity of 3.18 cSt, cetane index of 79.30, flash point of 109 °C, contamination < 1 ppm, and a filter blocking tendency of 1.03. Additionally, the cold flow properties were within acceptable ranges, demonstrating the suitability of these blends for commercial diesel applications. This study highlights the potential of utilizing waste chicken fat as a sustainable feedstock for high-quality renewable diesel production, contributing to the development of cleaner fuel alternatives.