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• W3153805603 abstract "Abstract 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 ." @default.
• W3153805603 created "2021-04-26" @default.
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• W3153805603 date "2021-04-19" @default.
• W3153805603 modified "2023-10-18" @default.
• W3153805603 title "Development of a portable electronic nose for <i>in‐situ</i> detection of submerged fermentation of <i>Tremella aurantialba</i>" @default.
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• W3153805603 doi "https://doi.org/10.1111/jfs.12902" @default.
• W3153805603 hasPublicationYear "2021" @default.
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