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Feasibility Investigation on Determining Soluble Solids Content of Peaches Using Dielectric Spectra

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Abstract

To investigate the potential of dielectric spectra in determining soluble solids content of intact peaches during postharvest, dielectric constants and dielectric loss factors of 200 intact ‘Hongmi’ peaches were measured at 101 discrete frequencies from 20 to 4,500 MHz using a vector network analyzer and an open-ended coaxial-line probe. Based on the joint x–y distance sample set partitioning (SPXY) method, 160 apples were selected for the calibration set, and the other 40 samples were used for the prediction set. Least squares support vector machine (LSSVM), extreme learning machine (ELM), and back propagation neural network (BPNN) modeling methods were used to establish nonlinear models to predict soluble solids content (SSC) of peaches. To simplify models, 60 and 4 characteristic variables were selected by uninformative variable elimination method (UVE) based on partial least squares and successive projection algorithm (SPA), respectively, and the full dielectric spectra were compressed to seven principal components by principal component analysis (PCA). ELM combined with PCA had the best SSC calibration and prediction performances with predicated correlation coefficient of 0.6986 and predicted root-mean-square error of 0.7763. The poor determination performance indicates that it is difficult to precisely determine soluble solids content of peaches using dielectric spectra.

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Acknowledgments

This research was supported by a grant from the National Natural Science Foundation of China (Project No. 31171720).

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Authors and Affiliations

  1. College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling, Shaanxi, 712100, China

    Xinhua Zhu, Lijie Fang, Jingsi Gu & Wenchuan Guo

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  1. Xinhua Zhu
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  2. Lijie Fang
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  3. Jingsi Gu
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  4. Wenchuan Guo
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Correspondence to Xinhua Zhu or Wenchuan Guo.

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Funding

This study was funded by the National Natural Science Foundation of China (Project No. 31171720).

Conflict of Interest

Xinhua Zhu declares that he has no conflict of interest. Lijie Fang has no conflict of interest. Jingsi Gu has no conflict of interest. Wenchuan Guo declares that she has no conflict of interest.

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This article does not contain any studies with human participants or animals performed by any of the authors.

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Zhu, X., Fang, L., Gu, J. et al. Feasibility Investigation on Determining Soluble Solids Content of Peaches Using Dielectric Spectra. Food Anal. Methods 9, 1789–1798 (2016). https://doi.org/10.1007/s12161-015-0348-7

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  • DOI: https://doi.org/10.1007/s12161-015-0348-7

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