Machine learning approach for predicting anaerobic digestion performance and stability in direct interspecies electron transfer-stimulated environments-Reference-Cited by-同舟云学术

Machine learning approach for predicting anaerobic digestion performance and stability in direct interspecies electron transfer-stimulated environments

Published:2023-04 Issue: Volume:193 Page:108840
ISSN:1369-703X
Container-title:Biochemical Engineering Journal
language:en
Short-container-title:Biochemical Engineering Journal

Author:

Baek Gahyun,Lee Changsoo,Yoon Jinyoung

Funder

National Research Foundation of Korea

Ministry of Environment

Ministry of Science, ICT and Future Planning

Korea Environmental Industry and Technology Institute

Publisher

Elsevier BV

Subject

Biomedical Engineering,Environmental Engineering,Bioengineering,Biotechnology

Reference39 articles.

1. A review of biochemical process of anaerobic digestion;Adekunle;Adv. Biosci. Biotechnol.,2015

2. Enhancing methane yield of chicken litter in anaerobic digestion using magnetite nanoparticles;Aguilar-Moreno;Renew. Energy,2020

3. A long-term study on the effect of magnetite supplementation in continuous anaerobic digestion of dairy effluent – enhancement in process performance and stability;Baek;Bioresour. Technol.,2016

4. Role and potential of direct interspecies electron transfer in anaerobic digestion;Baek;Energies,2018

5. Individual and combined effects of magnetite addition and external voltage application on anaerobic digestion of dairy wastewater;Baek;Bioresour. Technol.,2020

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