Development of a portable electronic nose for in-situ detection of submerged fermentation of Tremella aurantialba,Journal of Food Safety

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Development of a portable electronic nose for in-situ detection of submerged fermentation of Tremella aurantialba
Journal of Food Safety ( IF 1.9 ) Pub Date : 2021-04-19 , DOI: 10.1111/jfs.12902
Chunxia Dai _{1,

2} , Xingyi Huang ₃ , Jun Sun ₁ , Xiaoyu Tian ₃ , Joshua H. Aheto ₃ , Shuai Niu ₃

Affiliation

The aim of this study was to develop a portable electronic nose (e-nose) system for the rapid and convenient detection of saponin in submerged fermentation of Tremella aurantialba (T. aurantialba) in situ. The system was built using hardware and software systems. The hardware system consisted of a gas path module and a circuit module, and the software framework provided a friendly human–computer interface and multivariate computational tools. Subsequently, the e-nose system was used to detect off-gas in fermentation tanks every 12 hr in situ. Saponin content was simultaneously determined by the traditional measurement method. On the basis of odor data from the e-nose, partial least squares regression (PLSR) was used to establish a quantitative model for the prediction of saponin content. For the PLSR model, the root mean square error of prediction (RMSEP) was 0.2247 and the correlation coefficients of prediction (Rp) were 96.76% in the prediction set. These results showed that the feasibility of the device designed to detect the fermentation degree of the process and proved to be a valuable tool for real-time and in-situ detection of the fermentation process of T. aurantialba.

中文翻译：

用于原位检测银耳深层发酵的便携式电子鼻的研制

本研究的目的是开发一种便携式电子鼻（e-nose）系统，用于快速方便地原位检测银耳（T. aurantialba）深层发酵中的皂苷。该系统是使用硬件和软件系统构建的。硬件系统由气路模块和电路模块组成，软件框架提供友好的人机界面和多元计算工具。随后，电子鼻系统用于每12小时原位检测发酵罐中的废气. 皂苷含量采用传统测定方法同时测定。在电子鼻气味数据的基础上，采用偏最小二乘回归（PLSR）建立了皂苷含量预测的定量模型。对于PLSR模型，预测集中的预测均方根误差（RMSEP）为0.2247，预测相关系数（Rp）为96.76%。这些结果表明，该装置设计用于检测该过程的发酵程度的可行性，被证明是对枳壳发酵过程进行实时原位检测的有价值的工具。

更新日期：2021-04-19

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