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Hairtail (Trichiurus haumela) freshness determination method based on electronic nose

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Abstract

In this paper, hairtail (Trichiurus haumela) freshness determination method using electronic nose (EN) technology is discussed. Hairtail samples under different storage time are measured by EN. At the same time, physical/chemical indexes of hairtail samples, such as total volatile based nitrogen, total aerobic counts, pH, and texture characteristics, are also examined. The relationship between EN responses and physical/chemical indexes of the samples is discussed. Results indicate that principal component analysis method discriminates hairtail samples successfully. Stochastic resonance signal-to-noise ratio (SNR) eigen values qualitatively and quantitatively discriminate hairtail samples of different freshness. Hairtail freshness predicting model is developed using SNR eigen value non-linear fitting regression. The developed model forecasts freshness of hairtail samples with an accuracy of 90.48 %.

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Acknowledgments

This work is financially supported by National Natural Science Foundation of China (Grant No. 81000645), China Postdoctoral Science Foundation (Grant No. 2014M551749).

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Authors and Affiliations

  1. School of Information Engineering, Zhejiang A & F University, Linan, 311300, China

    Lin Han, Jiang Jinghao, Zheng Feixiang & Hui Guohua

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  1. Lin Han
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  2. Jiang Jinghao
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  3. Zheng Feixiang
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  4. Hui Guohua
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Correspondence to Hui Guohua.

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Hui Guohua declares that he has no conflict of interest.

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Han, L., Jinghao, J., Feixiang, Z. et al. Hairtail (Trichiurus haumela) freshness determination method based on electronic nose. Food Measure 9, 541–549 (2015). https://doi.org/10.1007/s11694-015-9262-3

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  • DOI: https://doi.org/10.1007/s11694-015-9262-3

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