分析测试学报2026，Vol.45Issue(3)：591-599,9.DOI:10.12452/j.fxcsxb.25082804
基于高光谱成像技术的木姜叶柯产地识别及品质成分含量预测研究
Geographical Origin Discrimination and Quality Component Content Prediction of Lithocarpus litseifolius(Hance)Chun.Based on Hyperspectral Imaging Technology
摘要
Abstract
Lithocarpus litseifolius(Hance)Chun.,hailed as the'Chinese Caterpillar Fungus'among teas,is rich in dihydrochalcone glycosides such as phloridzin and 3-hydroxy phloridzin,but their content exhibits significant regional variations.This study proposes a method for geographical origin discrimination and active compound content prediction of Lithocarpus litseifolius(Hance)Chun.based on hyperspectral imaging and chemometrics.Hyperspectral images of samples from four pro-duction regions—Jiangxi,Guizhou,Hunan,and Yunnan,were collected to obtain raw spectral da-ta.Second derivative(SD),multiplicative scatter correction(MSC),and standard normal variate(SNV)were applied for noise reduction.For origin discrimination,partial least squares-discrimi-nant analysis(PLS-DA),support vector machine(SVM),and k-nearest neighbor classification(KNN-Class)models were established.For phloridzin and 3-hydroxy phloridzin content prediction,partial least squares regression(PLSR)and KNN regression(KNN-Reg)models were developed.Ad-ditionally,the successive projections algorithm(SPA)and competitive adaptive reweighted sampling(CARS)were employed for feature wavelength selection.The results demonstrated that the optimal model for origin discrimination was SD-CARS-SVM,achieving a prediction accuracy of 100%.The best models for phloridzin and 3-hydroxy phloridzin content prediction were SD-CARS-PLSR and MSC-CARS-PLSR,respectively,with prediction set determination coefficients(Rp²)of 0.93 and 0.83,and residual prediction deviations(RPD)of 3.87 and 2.45.This study provides a rapid quali-ty assessment solution for Lithocarpus litseifolius(Hance)Chun.and lays the foundation for develop-ing specialized miniaturized detection instruments.关键词
木姜叶柯/高光谱成像技术/根皮苷/3-羟基根皮苷/产地/品质/特征筛选Key words
Lithocarpus litseifolius(Hance)Chun./hyperspectral imaging technology/phloridzin/3-hydroxy phloridzin/geographical origin/quality/feature selection分类
化学化工引用本文复制引用
肖丹,于苹,郭雪,栾美琪,李飞羽,杨健,周骏辉..基于高光谱成像技术的木姜叶柯产地识别及品质成分含量预测研究[J].分析测试学报,2026,45(3):591-599,9.基金项目
国家重点研发计划项目(2024YFC3506800) （2024YFC3506800）
中国中医科学院科技创新工程项目(CI2023E002) （CI2023E002）
中央本级重大增减支项目(2060302) （2060302）
国家中医药管理局高水平中医药重点学科建设项目(ZYYZDXK-2023244) （ZYYZDXK-2023244）
财政部和农业农村部国家现代农业产业技术体系项目(CARS-21) （CARS-21）
