Rapid detection of biodegradable organic matter in polluted water with microbial fuel cell sensor: Method of partial coulombic yield
文献类型：期刊论文
| 作者 | Gao, Yangyang1,2,3; Yin, Fengjun1,2,3 ; Ma, Weiqi1,2,3; Wang, Sha1,2,3; Liu, Yuan1,2,3; Liu, Hong1,2,3
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| 刊名 | BIOELECTROCHEMISTRY
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| 出版日期 | 2020-06-01 |
| 卷号 | 133页码:8 |
| 关键词 | Biodegradable organic matter Partial coulombic yield Cutoff point Biosensor |
| ISSN号 | 1567-5394 |
| DOI | 10.1016/j.bioelechem.2020.107488 |
| 通讯作者 | Liu, Hong(liuhong@cigit.ac.cn) |
| 英文摘要 | The quantification of biodegradable organic matter (BOM) in polluted water plays an essential role for biodegradation-based processing of wastewater and management of water environment. Compared with the traditional detection of five-day biochemical oxygen demand (BOD5), microbial fuel cell (MFC) sensors have shown an advantage for rapid and more accurate BOM assessment in several hours using coulombic yield of MFC as the signal. In this study, we propose a new calculation method that relies on the partial coulombic yield (P-CY) to further shorten the duration of the measurement. The P-CY is the cumulative coulomb at the point at which the voltage acquisition reaches a maximum voltage drop rate. The detection results with the standard GGA solution (a mixture of glucose and glutamic acid) show an enhanced linear relationship ranging from 37.5 mg L-1 to 375 mg L-1 in comparison to conventional methods. Notably, the response time for P-CY is remarkably shortened (0.99 +/- 0.18-18.08 +/- 0.58 h). The cutoff point for P-CY has more stable electrochemical characteristics, which enhances the accuracy of BOM detection. Furthermore, the validity of our determination of the cutoff point for P-CY is demonstrated by a mathematical model based on the Michaelis-Menten equation. Thus, the P-CY method is viable for the rapid detection of BOM in polluted water. (C) 2020 Elsevier B.V. All rights reserved. |
| 资助项目 | National Natural Science Foundation of China[51525805] ; National Natural Science Foundation of China[51727812] ; National Natural Science Foundation of China[51808526] ; Natural Science Foundation of Chongqing[cstc2018jcyjAX0327] |
| WOS研究方向 | Biochemistry & Molecular Biology ; Life Sciences & Biomedicine - Other Topics ; Biophysics ; Electrochemistry |
| 语种 | 英语 |
| WOS记录号 | WOS:000531827700025 |
| 出版者 | ELSEVIER SCIENCE SA |
| 源URL | [http://119.78.100.138/handle/2HOD01W0/11007]  |
| 专题 | 中国科学院重庆绿色智能技术研究院 |
| 通讯作者 | Liu, Hong |
| 作者单位 | 1.Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Chongqing 400714, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Key Lab Reservoir Aquat Environm, Chongqing 400714, Peoples R China |
| 推荐引用方式 GB/T 7714 | Gao, Yangyang,Yin, Fengjun,Ma, Weiqi,et al. Rapid detection of biodegradable organic matter in polluted water with microbial fuel cell sensor: Method of partial coulombic yield[J]. BIOELECTROCHEMISTRY,2020,133:8. |
| APA | Gao, Yangyang,Yin, Fengjun,Ma, Weiqi,Wang, Sha,Liu, Yuan,&Liu, Hong.(2020).Rapid detection of biodegradable organic matter in polluted water with microbial fuel cell sensor: Method of partial coulombic yield.BIOELECTROCHEMISTRY,133,8. |
| MLA | Gao, Yangyang,et al."Rapid detection of biodegradable organic matter in polluted water with microbial fuel cell sensor: Method of partial coulombic yield".BIOELECTROCHEMISTRY 133(2020):8. |
入库方式： OAI收割
来源：重庆绿色智能技术研究院
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