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

• Published in: Food control Vol. 159; p. 110290
• Main Authors: Bai, Shiqi, Xiao, Kunpeng, Liu, Qiang, Mariga, Alfred Mugambi, Yang, Wenjian, Fang, Yong, Hu, Qiuhui, Gao, Haiyan, Chen, Hangjun, Pei, Fei
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.05.2024
• Subjects: Agaricus bisporus; Hyperspectral image; Stability competitive adaptive reweighted sampling; Support vector machine; Agaricus bisporus; Support vector machine; Stability competitive adaptive reweighted sampling; Hyperspectral image
• ISSN: 0956-7135; 1873-7129
• DOI: 10.1016/j.foodcont.2024.110290

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 RC2, RCV2, RP2 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. •The change in moisture of A. bisporus during freeze drying (FD) was predicted.•The moisture content (MC) of A. bisporus was monitored by hyperspectral imaging.•The SCARS-MSC-SVM model was the best fit for MC prediction of A. bisporus during FD.•The visualization map can directly illustrate the change in MC of A. bisporus during FD.