Bioresource Technology, Год журнала: 2024, Номер 402, С. 130782 - 130782
Опубликована: Май 1, 2024
Язык: Английский
Bioresource Technology, Год журнала: 2024, Номер 402, С. 130782 - 130782
Опубликована: Май 1, 2024
Язык: Английский
Chemosphere, Год журнала: 2022, Номер 296, С. 134054 - 134054
Опубликована: Фев. 21, 2022
Язык: Английский
Процитировано
164Biotechnology Advances, Год журнала: 2024, Номер 72, С. 108335 - 108335
Опубликована: Фев. 27, 2024
Язык: Английский
Процитировано
40International Journal of Hydrogen Energy, Год журнала: 2024, Номер 57, С. 315 - 327
Опубликована: Янв. 9, 2024
Язык: Английский
Процитировано
23Bioresource Technology, Год журнала: 2022, Номер 361, С. 127665 - 127665
Опубликована: Июль 21, 2022
Язык: Английский
Процитировано
38Bioresource Technology, Год журнала: 2023, Номер 374, С. 128735 - 128735
Опубликована: Фев. 11, 2023
Язык: Английский
Процитировано
32Bioresource Technology, Год журнала: 2023, Номер 381, С. 129147 - 129147
Опубликована: Май 9, 2023
Microbial production of medium chain length fatty acids (MCFAs) from renewable resources is becoming increasingly important in establishing a sustainable and clean chemical industry. This review comprehensively summarizes current advances microbial MCFA resources. Detailed information provided on two major pathways using various other auxiliary supporting to help understand the fundamentals bio-based production. In addition, conventional well-studied producers are classified into categories, natural synthetic producers, their characteristics outlined. Moreover, engineering strategies employed achieve highest MCFAs up date showcased together with key enzymes suggested for overproduction. Finally, future challenges perspectives discussed towards more efficient
Язык: Английский
Процитировано
29Carbon Neutrality, Год журнала: 2024, Номер 3(1)
Опубликована: Янв. 8, 2024
Abstract The utilization of biochar derived from biomass residue to enhance anaerobic digestion (AD) for bioenergy recovery offers a sustainable approach advance energy and mitigate climate change. However, conducting comprehensive research on the optimal conditions AD experiments with addition poses challenge due diverse experimental objectives. Machine learning (ML) has demonstrated its effectiveness in addressing this issue. Therefore, it is essential provide an overview current ML-optimized processes biochar-enhanced order facilitate more systematic ML tools. This review comprehensively examines material flow preparation impact comprehension reviewed optimize production process perspective. Specifically, summarizes application techniques, based artificial intelligence, predicting yield properties residues, as well their AD. Overall, analysis address challenges recovery. In future research, crucial tackle that hinder implementation pilot-scale reactors. It recommended further investigate correlation between physicochemical process. Additionally, enhancing role throughout entire holds promise achieving economically environmentally optimized efficiency. Graphical
Язык: Английский
Процитировано
14Journal of Cleaner Production, Год журнала: 2024, Номер 436, С. 140560 - 140560
Опубликована: Янв. 1, 2024
Язык: Английский
Процитировано
8Bioresource Technology, Год журнала: 2024, Номер 395, С. 130326 - 130326
Опубликована: Янв. 17, 2024
Язык: Английский
Процитировано
8Chemical Engineering Journal, Год журнала: 2024, Номер 488, С. 150849 - 150849
Опубликована: Март 30, 2024
Язык: Английский
Процитировано
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