Nondestructive discrimination of analogous density foreign matter inside soy protein meat semi-finished products based on transmission hyperspectral imaging. (15th June 2023)

• Record Type: Journal Article
• Authors: Shi, Yu; Wang, Yueying; Hu, Xuetao; Li, Zhihua; Huang, Xiaowei; Liang, Jing; Zhang, Xinai; Zheng, Kaiyi; Zou, Xiaobo; Shi, Jiyong
• Is Part Of: Food chemistry. Volume 411(2023)
• Publication Date: 2023-06-15
• Subjects: Soy protein meat (SPM) -- Analogous density foreign matter (ADFM) -- Hyperspectral imaging (HSI) -- Transmission light -- Discriminant model; Food -- Analysis -- Periodicals; Food -- Composition -- Periodicals; 664
• DOI: 10.1016/j.foodchem.2023.135431
• Languages: English
• ISSNs: 0308-8146

Abstract

Graphical abstract: Highlights: Separation of analogous density foreign matter in soy protein meat semi-finished by T -HSI. The optimal discriminant model with a classification accuracy of 95.00%. T -HSI can achieve precise localization of analogous density foreign matter. The visualization effect is better than the computer vision and ultrasound imaging. Abstract: Analogous density foreign matter (ADFM) embedded in soy protein meat semi-finished (SFSPM) is hidden by SFSPM and has similar acoustic impedance features to SFSPM, which makes non-destructive testing techniques such as computer vision (CV), reflectance spectroscopy and ultrasound imaging inappropriate for ADFM, which not only seriously affects the quality of soy protein meat (SPM) products but also increases the safety risk to consumers. In this study, to locate and separate ADFM by using transmission hyperspectral imaging ( T -HSI) technique which is sensitive to chemical composition and highlight internal contours. The optimal discrimination model SVM + PCA + MSC + SPA was constructed using transmission spectral information with an accuracy of 95.00 %. The visualization results based on the optimal model showed clearer localization results than CV and ultrasound imaging. The study demonstrated that the advantages of T -HSI technology in detecting and locating ADFM inside SFSPM, which provides a basis for improving the production quality and safety of SPM.