中国食品学报2024，Vol.24Issue(2)：292-302,11.DOI:10.16429/j.1009-7848.2024.02.028
基于近红外光谱技术的空苞山核桃快速识别
Rapid Identification of Empty Bud Carya cathayensis Based on Near-infrared Spectroscopy
摘要
Abstract
Empty bud Carya cathayensis refer to Carya cathayensis with no seed kernels or stunted development,which will seriously affect the product quality of Carya cathayensis.To achieve rapid and non-destructive identification of empty bud Carya cathayensises,two NIR detection devices were used to collect spectra of shelled Carya cathayensises samples in the wavelength range of 200-1 160 nm.Eight different preprocessing methods wers used for spectral preprocessing,and competitive adaptive reweighted sampling(CARS)was used to select the sensitive wave length variables of empty bud Carya cathayensises.Finally,linear discriminant analysis(LDA),quadratic discriminant analysis(QDA),and maha-lanobis discriminant analysis(MDA)were applied to establish the classification models of empty bud and normal Carya cathayensises.The results showed that the performance of the classification models of empty bud Carya cathayensis estab-lished using detection device 1 were better than that of the detection device 2.The classification models established after multivariate scattering correction(MSC)pretreatment showed the best recognition results.The specificity,sensitivity and correctness of LDA,QDA,and MDA models were all 1,which were better than the classification models established by other preprocessing methods.After CARS variable screening,the number of spectral variables used for modeling was sig-nificantly reduced,effectively simplifying the classification model.However,the model performance was still on par with that of the full-band model.This paper provides a feasible method for the rapid nondestructive identification of empty bud Carya cathayensis by near-infrared spectroscopy combined with chemometric methods.关键词
山核桃/近红外光谱/空苞/竞争自适应重加权采样Key words
Carya cathayensis/near-infrared spectroscopy/empty bud/competitive adaptive reweighted sampling引用本文复制引用
俞储泽,翁定康,曹烁森,孙通..基于近红外光谱技术的空苞山核桃快速识别[J].中国食品学报,2024,24(2):292-302,11.基金项目
浙江省重点研发项目(2020C02019) （2020C02019）
浙江省属高校基本科研业务费专项资金项目(2021TD002) （2021TD002）
