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Mass transfer in heterogeneous biofilms: Key issues in biofilm reactors and AI-driven performance prediction

Authors :
Huize Chen
Ao Xia
Huchao Yan
Yun Huang
Xianqing Zhu
Xun Zhu
Qiang Liao
Source :
Environmental Science and Ecotechnology, Vol 22, Iss , Pp 100480- (2024)
Publication Year :
2024
Publisher :
Elsevier, 2024.

Abstract

Biofilm reactors, known for utilizing biofilm formation for cell immobilization, offer enhanced biomass concentration and operational stability over traditional planktonic systems. However, the dense nature of biofilms poses challenges for substrate accessibility to cells and the efficient release of products, making mass transfer efficiency a critical issue in these systems. Recent advancements have unveiled the intricate, heterogeneous architecture of biofilms, contradicting the earlier view of them as uniform, porous structures with consistent mass transfer properties. In this review, we explore six biofilm reactor configurations and their potential combinations, emphasizing how the spatial arrangement of biofilms within reactors influences mass transfer efficiency and overall reactor performance. Furthermore, we discuss how to apply artificial intelligence in processing biofilm measurement data and predicting reactor performance. This review highlights the role of biofilm reactors in environmental and energy sectors, paving the way for future innovations in biofilm-based technologies and their broader applications.

Details

Language :
English
ISSN :
26664984
Volume :
22
Issue :
100480-
Database :
Directory of Open Access Journals
Journal :
Environmental Science and Ecotechnology
Publication Type :
Academic Journal
Accession number :
edsdoj.2bfe9d3d2aaa460ba1a93e6a9da1a52a
Document Type :
article
Full Text :
https://doi.org/10.1016/j.ese.2024.100480