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Study of Spinyhead Croaker (Collichthys lucidus) Fat Content Forecasting Model Based on Electronic Nose and Non-linear Data Resolution Model

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Abstract

In this paper, spinyhead croaker (Collichthys lucidus) fat content forecasting model using electronic nose (e-nose) and non-linear stochastic resonance (SR) has been studied. Spinyhead croaker samples are stored at 4 °C temperature. Physical/chemical indexes (firmness, total volatile basic nitrogen (TVB-N), pH, and fat content) are examined to provide quality references for e-nose. E-nose responses are treated by principal component analysis (PCA), bistable SR, and double-layered cascaded serial SR (DCSSR). SR and DCSSR SNR maximal (SNR-Max) values discriminate croakers clearly. Multi-variables regressions (MVR) are conducted between physical/chemical indexes and SR/DCSSR SNR-Max values. MVR results demonstrate that DCSSR feature values have more significant linearity relation with physical/chemical indexes. Spinyhead croaker fat content forecasting model is developed via linear fitting regression on SR SNR-Max values. Validating experimental results demonstrate that the developed model has good accuracy.

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Funding

This work is financially supported by Scientific Research Project of National Natural Science Foundation of China (No. U1709212), Scientific Research Project of Zhejiang Province (Grant No. 2019C02075, LGG18F030006, LGG19F010012, LY19F030023), China College Student Research Programme (105–2013200055), and College Student Research Programme of Zhejiang Province.

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Authors and Affiliations

  1. School of Information Engineering, Key Laboratory of Forestry Sensing Technology and Intelligent Equipment of Department of Forestry, Key Laboratory of Forestry Intelligent Monitoring and Information Technology of Zhejiang Province, Zhejiang A & F University, Linan, 311300, People’s Republic of China

    Haonan Zheng, Siyang Wang, Xinyi Ping, Chenning Shao, Huimin Zhou, Bin Xiang, Jian Li, Xiongwei Lou, Xiaomei Yi & Hui Guohua

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  1. Haonan Zheng
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  2. Siyang Wang
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  3. Xinyi Ping
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  4. Chenning Shao
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  5. Huimin Zhou
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  6. Bin Xiang
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  7. Jian Li
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  9. Xiaomei Yi
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  10. Hui Guohua
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Corresponding author

Correspondence to Hui Guohua.

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Conflict of Interest

Author Haonan Zheng has received research grant from Scientific Research Project of Zhejiang Province (No. LGG19F010012). Author Jian Li has received research grant from Scientific Research Project of Zhejiang Province (No. LGG18F030006). Author Xiongwei Lou has received research grant from Scientific Research Project of Zhejiang Province (No. LGG18F030006). Author Xiaomei Yi has received research grant from Scientific Research Project of Zhejiang Province (No. LGG19F010012). Author Guohua Hui has received research grant from Scientific Research Project of National Natural Science Foundation of China (No. U1709212). Haonan Zheng declares that he has no conflict of interest. Siyang Wang declares that she has no conflict of interest. Xinyi Ping declares that she has no conflict of interest. Chenning Shao declares that she has no conflict of interest. Huimin Zhou declares that she has no conflict of interest. Bin Xiang declares that he has no conflict of interest. Jian Li declares that he has no conflict of interest. Xiongwei Lou declares that he has no conflict of interest. Xiaomei Yi declares that she has no conflict of interest. Guohua Hui declares that he has no conflict of interest.

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Zheng, H., Wang, S., Ping, X. et al. Study of Spinyhead Croaker (Collichthys lucidus) Fat Content Forecasting Model Based on Electronic Nose and Non-linear Data Resolution Model. Food Anal. Methods 12, 1927–1937 (2019). https://doi.org/10.1007/s12161-019-01510-x

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  • DOI: https://doi.org/10.1007/s12161-019-01510-x

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