A bi-layer model for nondestructive prediction of soluble solids content in apple based on reflectance spectra and peel pigments

文献类型： 外文期刊

第一作者： Huang, Wenqian

作者： Huang, Wenqian

作者机构：

关键词： Hyperspectral image;Effective wavelength;SSC;Pigment;Bi-layer model;Apple

期刊名称：FOOD CHEMISTRY （ 影响因子：7.514； 五年影响因子：7.516 ）

ISSN： 0308-8146

年卷期： 2018 年 239 卷

页码：

收录情况： SCI

摘要： Hyperspectral imaging technology was used to investigate the effect of various peel colors on soluble solids content (SSC) prediction model and build a SSC model insensitive to the color distribution of apple peel. The SSC and peel pigments were measured, effective wavelengths (EWs) of SSC and pigments were selected from the acquired hyperspectral images of the intact and peeled apple samples, respectively. The effect of pigments on the SSC prediction was studied and optimal SSC EWs were selected from the peel-flesh layers spectra after removing the chlorophyll and anthocyanin EWs. Then, the optimal bi-layer model for SSC prediction was built based on the finally selected optimal SSC EWs. Results showed that the correlation coefficient of prediction, root mean square error of prediction and selected bands of the bi-layer model were 0.9560, 0.2528 and 41, respectively, which will be more acceptable for future online SSC prediction of various colors of apple. (C) 2017 Elsevier Ltd. All rights reserved.

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