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Transformative biorefinery model for biomass valorization into biofuel and renewable platform chemicals
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作者 Meysam Madadi mahdy elsayed +7 位作者 Guojie Song Razieh Shafiei-Alavijeh Joeri FMDenayer Ehsan Kargaran Salauddin Al Azad Keikhosro Karimi Fubao Sun Vijai Kumar Gupta 《Journal of Energy Chemistry》 2025年第11期109-123,I0005,共16页
The increasing demand for sustainable energy solutions necessitates innovative approaches to biomass utilization.This study introduces a comprehensive biorefinery model that valorizes poplar biomass into high-value pr... The increasing demand for sustainable energy solutions necessitates innovative approaches to biomass utilization.This study introduces a comprehensive biorefinery model that valorizes poplar biomass into high-value products,including ethanol,furfural,phenol,and biochar.These products not only serve as promising sources for biofuel and renewable chemicals but also contribute to pollution mitigation.The approach employs a biphasic pretreatment system utilizing p-toluenesulfonic acid,pentanol,and AlCl_(3) under optimized conditions(120℃ for 45 min),achieving remarkable efficiencies of 95.8%xylan removal,90.2%delignification,and 90.7%glucan recovery.The underlying mechanism,elucidated through density functional theory,demonstrates how the disruption of lignin-carbohydrate complexes via electrostatic and hydrogen-bonding interactions enhances product yields.The cellulose-rich substrate yielded 71.3 g/L ethanol,while solubilized xylan converted to 86.7%furfural without additional acid.Furthermore,lignin pyrolysis produced bio-oil containing over 45.2%phenolic compounds,while biochar demonstrated significant adsorptive capacity for perfluorooctanoic acid.Scaling this biorefinery model to process 140 million tons of poplar biomass annually reduces CO_(2)emissions by 75.3 million tons and provides socioeconomic savings of $17.3 billion,supporting sustainable industrial transformation. 展开更多
关键词 Poplar valorization Biphasic pretreatment GHG reduction Product diversification Sustainable scaling
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