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Fuji Apple Storage Time Predictive Method Using Electronic Nose

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Food Analytical Methods Aims and scope Submit manuscript

Abstract

An electronic nose-based Fuji apple storage time prediction method is investigated in this paper. A home-made electronic nose with eight metal oxide semiconductors gas sensor array was used to measure the apples stored at room temperature. Principal component analysis cannot discriminate all samples. Stochastic resonance signal-to-noise ratio spectrum distinguishes fresh, medium, and aged apples successfully. The prediction model is developed based on signal-to-noise ratio maximums. In validating experiments, results show that the predicting accuracy of this model is 84.62 %. This method takes some advantages including fast detection, easy operation, high accuracy, and good repeatability.

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Acknowledgments

This work was supported by Zhejiang Province Science and Technology Research Project (Grant No. 2011C21051), National Natural Science Foundation (Grant No. 81000645), and Zhejiang Province Natural Science Foundation (Grant No. Y1100150, Y1110995). Student Scientific Research Project of Zhejiang Gongshang University (Grant No. 11-143, 11-145, 11-159).

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Authors and Affiliations

  1. College of Food Science and Biotechnology, Food Safety Key Laboratory of Zhejiang Province, Zhejiang Gongshang University, Zhejiang Province, Hangzhou, 310035, China

    Hui Guohua, Wu Yuling, Ye Dandan & Ding Wenwen

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  1. Hui Guohua
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  2. Wu Yuling
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  3. Ye Dandan
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  4. Ding Wenwen
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Correspondence to Hui Guohua.

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Guohua, H., Yuling, W., Dandan, Y. et al. Fuji Apple Storage Time Predictive Method Using Electronic Nose. Food Anal. Methods 6, 82–88 (2013). https://doi.org/10.1007/s12161-012-9414-6

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  • DOI: https://doi.org/10.1007/s12161-012-9414-6

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