Exploring interactive effects of environmental and microbial factors on food waste anaerobic digestion performance: Interpretable machine learning models DOI

Yanyan Guo,

Youcai Zhao,

Zongsheng Li

и другие.

Bioresource Technology, Год журнала: 2024, Номер 416, С. 131762 - 131762

Опубликована: Ноя. 7, 2024

Язык: Английский

Application of explainable machine learning in the production of pullulan by Aureobasidium pullulans CGMCCNO.7055 DOI
Shiwei Chen,

Wenmin Li,

Xiaowen Zhao

и другие.

International Journal of Biological Macromolecules, Год журнала: 2025, Номер unknown, С. 142374 - 142374

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0
Advances and principles of hyaluronic acid production, extraction, purification, and its applications: A review DOI

Fatemeh Saadati,

Howra Bahrulolum, Marjan Talebi

и другие.

International Journal of Biological Macromolecules, Год журнала: 2025, Номер unknown, С. 143839 - 143839

Опубликована: Май 1, 2025

Язык: Английский

Процитировано

0
Biotechnology revival: in situ sludge minimization in wastewater DOI Creative Commons
Yiqiang Chen,

Xu Jiang,

Maosheng Yang

и другие.

Frontiers in Microbiology, Год журнала: 2025, Номер 16

Опубликована: Май 2, 2025

In the face of escalating challenge sludge production and disposal in wastewater treatment plants (WWTPs), situ reduction biotechnology (ISRB) has recently emerged as a highly promising strategy. It not only potential to curtail generation at its origin but also ensures sustained efficiency process. Several key strategies have demonstrated exceptional harnessing microbial processes for degradation. They encompass enzymatic hydrolysis, inoculation, protozoan/metazoan predation, bacteriophage lysis, biofilm-based manipulation. Compared traditional methods (e.g., incineration landfilling), these biotechnologies offer significant advantages through lower costs, reduced energy consumption, minimal environmental impacts. The efficacy ISRB is substantially affected by various factors, where pH, shift, nutrient conditions play crucial roles. Despite notable progress made this field, challenges persist when it comes scaling up technologies more extensive widespread applications. This review comprehensively highlights fundamental mechanisms, application strategies, future prospects ISRB, including one first studies introduce bacteriophage-based approaches reduction, offering novel perspective on phage-mediated control. By doing so, aims in-depth insights into role sustainable solution management, paving way further research development area biotechnology.

Язык: Английский

Процитировано

0
Explainable machine learning-driven predictive performance and process parameter optimization for caproic acid production DOI
Hongzhi Ma,

Yichan Liu,

Jihua Zhao

и другие.

Bioresource Technology, Год журнала: 2024, Номер 410, С. 131311 - 131311

Опубликована: Авг. 19, 2024

Язык: Английский

Процитировано

3
Environmental Machine Learning, Baseline Reporting, and Comprehensive Evaluation: The EMBRACE Checklist DOI
Jun‐Jie Zhu, Alexandria B. Boehm, Zhiyong Jason Ren

и другие.

Environmental Science & Technology, Год журнала: 2024, Номер 58(45), С. 19909 - 19912

Опубликована: Окт. 29, 2024

Язык: Английский

Процитировано

3
Robust prediction for characteristics of digestion products in an industrial-scale biogas project via typical non-time series and time-series machine learning algorithms DOI

Ruixia Shen,

Peihao Sun, Jie Liu

и другие.

Chemical Engineering Journal, Год журнала: 2024, Номер 498, С. 155582 - 155582

Опубликована: Сен. 11, 2024

Язык: Английский

Процитировано

1
Exploring interactive effects of environmental and microbial factors on food waste anaerobic digestion performance: Interpretable machine learning models DOI

Yanyan Guo,

Youcai Zhao,

Zongsheng Li

и другие.

Bioresource Technology, Год журнала: 2024, Номер 416, С. 131762 - 131762

Опубликована: Ноя. 7, 2024

Язык: Английский

Процитировано

0