详细信息

A Non-Contact Electronic Nose System Based on Off-Gas Response for Real-Time NH4+ Monitoring in Fermentation  ( SCI-EXPANDED收录 EI收录)  

文献类型:期刊文献

英文题名:A Non-Contact Electronic Nose System Based on Off-Gas Response for Real-Time NH4+ Monitoring in Fermentation

作者:Zhang, Xiaoqin[1];Gao, Daqi[1];Wang, Yuan[2]

机构:[1]East China Univ Sci & Technol, Dept Comp Sci & Engn, Shanghai 200237, Peoples R China;[2]East China Univ Sci & Technol, Sch Bioengn, Shanghai 200237, Peoples R China

年份:2026

卷号:26

期号:12

外文期刊名:SENSORS

收录:;EI(收录号:20262621018159);WOS:【SCI-EXPANDED(收录号:WOS:001805147800001)】;

基金:This research received no external funding.

语种:英文

外文关键词:electronic nose; non-contact monitoring; real-time online monitoring; fermentation off-gas; gentamicin fermentation; NH4+

摘要:Real-time online monitoring of key parameters such as the ammonium nitrogen (NH4+) concentration during biological fermentation is important for the optimization of a biological fermentation process. Traditional offline detection technologies like spectrophotometry need contact sampling, with drawbacks of monitoring lag, risk of contamination, etc. In this work, taking the gentamicin fermentation process as an example, we developed an intelligent electronic nose non-contact monitoring system on the basis of fermentation off-gas signals. We captured the typical signals of off-gas and established a quantitative relationship between the signals and the NH4+ concentration in fermentation broth; the system then realized non-contact real-time monitoring. The whole system consists of a gas-switching module, a sensor array module, a signal-processing module, and an intelligent prediction module. The system adopts a five-phase gas switching strategy to suppress sensor drift in metal-oxide-semiconductor (MOS) sensors and a light neural network for prediction, which improve both prediction speed and accuracy. Experiments were conducted using a 5 L fermenter, and the prediction result was consistent with the offline measured value (coefficient of determination, R-2 = 0.9871, root mean square error, RMSE = 0.0317 g/L). This technique provides a new method for the non-contact measurement of key fermentation parameters, and it can be expanded to other fermentations.

参考文献:

正在载入数据...

版权所有©华东理工大学 重庆维普资讯有限公司 渝B2-20050021-7 
渝公网安备 50019002500408号 违法和不良信息举报中心