Study of bamboo shoots quality by utilizing electronic nose sensor array and its optimization

Bamboo shoots quality determination method using EN and M.O.S sensor array optimization was studied in this paper. EN responses to winter bamboo shoots samples under different storage time were measured. Sensor loading analysis results demonstrated that sensor array optimization improved principal c...

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Bibliographic Details
Published inInternational journal of food properties Vol. 22; no. 1; pp. 1548 - 1561
Main Authors Ying, Xiaoguo, Deng, Shanggui, Zhu, Bowei, Zhang, Feixiang, Mao, Xinyi, Tu, Jiayun, Ruan, Xiaorong, Yi, Xiaomei, Li, Jian, Gao, Yuanyuan
Format Journal Article
LanguageEnglish
Published Abingdon Taylor & Francis 01.01.2019
Taylor & Francis Ltd
Taylor & Francis Group
Subjects
electronic nose
Electronic noses
non-linear
Optimization
Quality
sensor array optimization
Sensors
Shoots
Stochasticity
Winter
Winter bamboo shoots
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Summary:Bamboo shoots quality determination method using EN and M.O.S sensor array optimization was studied in this paper. EN responses to winter bamboo shoots samples under different storage time were measured. Sensor loading analysis results demonstrated that sensor array optimization improved principal component analysis discrimination degree of shoots samples in different quality. Non-linear stochastic resonance was utilized for optimized EN measurement data analysis. SR signal-to-noise ratio quantitatively discriminated all samples. Winter bamboo shoots quality determination model was developed by linear fitting regression of SR signal-to-noise ratio eigen values. Validating experiments results indicated that the developed model presented a quality-predicting accuracy of 83.3% for shoots samples.
ISSN:1094-2912
1532-2386
DOI:10.1080/10942912.2019.1657446