Prediction of moisture content of Agaricus bisporus slices as affected by vacuum freeze drying using hyperspectral imaging

文献类型： 外文期刊

第一作者： Bai, Shiqi

作者： Bai, Shiqi;Xiao, Kunpeng;Liu, Qiang;Yang, Wenjian;Fang, Yong;Hu, Qiuhui;Pei, Fei;Xiao, Kunpeng;Mariga, Alfred Mugambi;Gao, Haiyan;Chen, Hangjun

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关键词： Hyperspectral image; Agaricus bisporus; Support vector machine; Stability competitive adaptive reweighted sampling

期刊名称：FOOD CONTROL （ 影响因子：6.0； 五年影响因子：5.8 ）

ISSN： 0956-7135

年卷期： 2024 年 159 卷

页码：

收录情况： SCI

摘要： Moisture content (MC) is a crucial indicator used for assessing the degree of freeze-drying (FD) of Agaricus bisporus. This study illustrated a novel approach to quickly and visually detect MC in A. bisporus during FD using hyperspectral imaging (HSI) system along with several spectral preprocessing methods and models. The proposed approach employs a support vector machine (SVM) to establish a quantitative function between the physical indicator and the spectra obtained from the acquired hyperspectral images in the full mean spectral range. In the study stability competitive adaptive reweighted sampling (SCARS) was also used to choose key wavelengths most relevant to MC. Multiplicative scattering correction (MSC) was used to improve the precision and robustness of models. Moreover, SCARS-MSC-SVM was selected as the most appropriate model whereby, the values of R2 C, R2 CV, R2 P and RPD were 0.9281, 0.9025, 0.8026, and 2.08, respectively. Furthermore, pseudo-color maps were developed to illustrate color changes, and gradual MC decrease from the edge of the mushroom to the core during the FD process, enabling monitoring of the processing progress. Results demonstrated the potential of HSI to rapidly, accurately, non-destructively, and visually display the MC of A. bisporus during the FD process.

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