文献类型：期刊文献

英文题名：Qualitative differentiation of non-deteriorated and deteriorated codonopsis radix using a portable spectrometric system with a multispectral sensor chipset

作者：Hou, Jia[1];Guo, Hongru[2];Qiang, Zhengze[1];Lu, Guodi[1];Wang, Mingwei[1]

第一作者：侯嘉

通信作者：Guo, HR[1]

机构：[1]Gansu Univ Chinese Med, Coll Pharm, Gansu Prov Engn Lab TCM Standardizat Technol & Pop, Lanzhou 730000, Peoples R China;[2]Lanzhou Ind Res Inst, Lanzhou 730050, Peoples R China

第一机构：甘肃中医药大学药学院（西北中藏药协同创新中心办公室）

通信机构：[1]corresponding author), Lanzhou Ind Res Inst, Lanzhou 730050, Peoples R China.

年份：2025

卷号：394

外文期刊名：JOURNAL OF FOOD ENGINEERING

收录：;EI(收录号：20250717874568);Scopus(收录号：2-s2.0-85217652871);WOS:【SCI-EXPANDED(收录号:WOS:001428200900001)】；

基金：This work was supported by the earmarked fund for the Modern Agro-industry Technology Research System (No. CARS-21) and the Young Doctoral Fund of Gansu Provincial Education Department (No. 2021QB-082) and the Science and Technology Planning Project of Lanzhou (No. 2022-ZD-135) and Gansu Province Engineering Laboratory for TCM Standardization Technology and Popularization Open Fund Program (No. gdyh-2024-05) .

语种：英文

外文关键词：Codonopsis radix; Quality assessment; Multispectral sensor; Deteriorated prediction; System manufacturability

摘要：Codonopsis Radix is a commonly used Chinese medicine and is also a food-medicine homology plant used as a food ingredient in China and Southeast Asia. Its nutritional profile, rich in polysaccharides, triterpenoids, polyacetylenes, and essential oils, renders it prone to deterioration during storage. In this study, we developed a portable, streamlined spectrometric system applicable for the rapid identification of whether Codonopsis Radix samples are deteriorated. This system centers around a multispectral sensor chipset (AS7265x) equipped with an 18-channel array spanning the visible to shortwave near-infrared spectrum (410-940 nm). We validated the system's efficacy through chemometric methods, including Principal Component Analysis (PCA), Partial Least Squares Discriminant Analysis (PLS-DA), and Orthogonal Projections to Latent Structures Discriminant Analysis (OPLS-DA). Additionally, we compared its performance to that of a commercial dispersive spectrometer (USB2000+). The validity and robustness of the OPLS-DA models built from the AS7265x and USB2000+ calibration spectral data were demonstrated based on the cross-validation and permutation test results, which indicated that the spectral data from the AS7265x device were comparable to those from the USB2000+ device in building a robust model that could effectively discriminate between non-deteriorated and deteriorated Codonopsis Radix samples. The prediction accuracies of the OPLS-DA methods based on the spectral data from the AS7265x and USB2000+ devices were both 95% under external validation. The experimental results confirmed that the proposed system is a powerful tool for practical, cost-effective applications in monitoring and assessment of Codonopsis Radix quality from major production areas in China.