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Fabrication of electronic nose system and exploration on its applications in mango fruit (M. indica cv. Datainong) quality rapid determination

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Abstract

Mango (M. indica cv. Datainong) fruit quality rapid determination method based on electronic nose (E-nose) was investigated in this research. E-nose responses to mangoes stored at room temperature were examined for 9 days. Meanwhile, physicochemical and microbiological indexes including firmness, weight loss, surface colour, yellowing rate, pH, total soluble solids, polyphenol oxidase activity and total viable counts were measured to provide quality references for E-nose analysis. Principal component analysis (PCA) and stochastic resonance (SR) were utilized for E-nose data analysis. Results indicated that mango fruit quality decreased sharply during storage. PCA just allowed qualitative quality discrimination, while SNR spectrum using eigen values successfully characterized mango quality. Mango quality predictive model was developed by linear fitting SR eigen values. Validation experiment results demonstrated that the forecasting accuracy of the developed model reached 90%.

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Acknowledgements

This work is supported by Public Welfare Technology Application Research Project of Zhejiang Province (Grant No. 2017C31010).

Author information

Authors and Affiliations

  1. College of Electronics and Information, Hangzhou Dianzi University, Hangzhou, 310018, China

    Shao Lihuan, Zhang Xiaohong & Zhao Zhidong

  2. Hangdian Smart City Research Center of Zhejiang Province, Hangzhou Dianzi University, Hangzhou, 310018, China

    Zhao Zhidong

  3. East China University of Science and Technology, Shanghai, 200237, China

    Wei Liu

  4. School of Information Engineering, Zhejiang A & F University, Hangzhou, 311300, China

    Hui Guohua

Authors
  1. Shao Lihuan
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  2. Wei Liu
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  3. Zhang Xiaohong
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  4. Hui Guohua
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  5. Zhao Zhidong
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Correspondence to Hui Guohua or Zhao Zhidong.

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All authors declare that they have no conflict of interest. Hui Guohua has received research grant from Public Welfare Technology Application Research Project of Zhejiang Province (Grant No. 2017C31010).

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All applicable international, national, and/or institutional guidelines for the care and use of animals were followed.

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Lihuan, S., Liu, W., Xiaohong, Z. et al. Fabrication of electronic nose system and exploration on its applications in mango fruit (M. indica cv. Datainong) quality rapid determination. Food Measure 11, 1969–1977 (2017). https://doi.org/10.1007/s11694-017-9579-1

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  • DOI: https://doi.org/10.1007/s11694-017-9579-1

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