食品科学2024，Vol.45Issue(6)：254-260,7.DOI:10.7506/spkx1002-6630-20230620-159
基于高光谱成像技术的宁夏枸杞产地溯源鉴别
Geographical Origin Identification of Lycium barbarum Fruit Using Hyperspectral Imaging Technology
摘要
Abstract
This study aimed to develop a method based on hyperspectral imaging(400-1 000 nm)combined with chemometrics to identify the diverse geographical origins of Lycium barbarum fruit.Hyperspectral images of L.barbarum fruit from Ningxia,Gansu,Inner Mongolia,Qinghai and Xinjiang were acquired,and spectral data was extracted from the region of interest(ROI)by threshold segmentation method.Multiple preprocessing methods were employed to eliminate the interference information from the spectra,and the results showed that the discriminant model based on normalized reflectance spectrum(NR)exhibited better performance.Furthermore,the successive projection algorithm(SPA),competitive adaptive reweighted sampling(CARS),particle swarm optimization(PSO),iteratively retaining informative variables(IRIV),and CARS + IRIV were used to select characteristic wavelengths.The results showed that the simplified model based on the wavelengths selected by CARS + IRIV had the best performance.In the models ranging from binary to quintuple classifications,the selected characteristic wavelengths accounted for only 15.6%to 27.7%of the full spectra.The prediction accuracy was 97.7%,90.9%,89.2%,and 87.1%,respectively.In addition,a confusion matrix was employed to visualize the optimal simplified classification model in order to intuitively distinguish the classification categories.Satisfactory sensitivity,specificity and Kappa coefficients were obtained in classifying L.barbarum.The results illustrated that hyperspectral imaging technology combined with chemometric methods could effectively identify the geographical origin of L.barbarum and provide crucial technical support for the development of the L.barbarum industry.关键词
高光谱成像/枸杞/产地鉴别/特征波长Key words
hyperspectral imaging/Lycium barbarum/geographical origin identification/characteristic wavelengths分类
信息技术与安全科学引用本文复制引用
袁伟东,姜洪喆,杨诗雨,张聪,周禹,周宏平..基于高光谱成像技术的宁夏枸杞产地溯源鉴别[J].食品科学,2024,45(6):254-260,7.基金项目
"十四五"国家重点研发计划重点专项(2022YFD2202100) （2022YFD2202100）
国家林业和草原局应急科技项目(202202-3) （202202-3）
