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For: Kumar Pandey A, Park J, Muhorakeye A, Morya R, Kim SH. Predicting the impact of hydraulic retention time and biodegradability on the performance of sludge acidogenesis using an artificial neural network. Bioresour Technol 2023;372:128629. [PMID: 36646359 DOI: 10.1016/j.biortech.2023.128629] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Revised: 01/10/2023] [Accepted: 01/12/2023] [Indexed: 06/17/2023]
Number Cited by Other Article(s)
1
Li C, Wang R, Yuan Z, Xie S, Wang Y, Zhang Y. Novel strategy for efficient energy recovery and pollutant control from sewage sludge and food waste treatment. WATER RESEARCH 2024;261:122050. [PMID: 38996731 DOI: 10.1016/j.watres.2024.122050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/18/2024] [Revised: 07/02/2024] [Accepted: 07/04/2024] [Indexed: 07/14/2024]
2
Piechota G, Chaturvedi Bhargava P, Rai AK, Kumar V, Park YK. Emerging trends in industrial bioprocessing: Focus on sustainability and circular bioeconomy. BIORESOURCE TECHNOLOGY 2023;384:129265. [PMID: 37271459 DOI: 10.1016/j.biortech.2023.129265] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
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