食品科学2025，Vol.46Issue(24)：304-312,9.DOI:10.7506/spkx1002-6630-20250707-051
基于微型近红外光谱的红茶萎凋水分无损检测方法
Non-destructive Detection of the Moisture Content of Withered Leaves for Black Tea Based on Micro-Near Infrared Spectroscopy
摘要
Abstract
In this study,a method for detecting the moisture content of withered leaves for black tea was proposed based on micro-near infrared spectroscopy(NIR).An NIR spectrometer developed in our lab was used to collect diffuse reflectance spectra of the withered leaf samples,whose moisture content was measured using a moisture meter at various time points.Pretreatment methods,variable screening methods and principal component analysis(PCA)were adopted to perform optimization and dimensionality reduction of spectral data to establish a discriminant model for the withering degree and a prediction model for the moisture content of withered leaves for Yimeng black tea.The results showed that the random forest(RF)discriminant model achieved an accuracy rate of 99.4%on the test set,exhibiting extraordinary classification performance.The model developed using bootstrapping soft shrinkage combined with support vector regression(BOSS-SVR)exhibited good prediction performance with correlation coefficient of calibration(rc)of 0.994,correlation coefficient of prediction(rp)of 0.984,root mean square error of calibration(RMSEC)of 0.730,root mean square error of prediction(RMSEP)of 1.198,and relative percent deviation(RPD)of 4.485.This research provides a theoretical basis and data support for the standardized and digital production of Yimeng black tea.关键词
近红外光谱/沂蒙红茶/水分检测/模型优化Key words
near-infrared spectroscopy/Yimeng black tea/moisture detection/model optimization分类
化学化工引用本文复制引用
李昊洵,于晓,董春旺,陈之威,郭梦奇,彭伟杰..基于微型近红外光谱的红茶萎凋水分无损检测方法[J].食品科学,2025,46(24):304-312,9.基金项目
山东省农业科学院创新工程项目(CXGC2024A08 （）
CXGC2025A02) （）
济南市农业科技攻关项目(GG202415) （GG202415）
浙江省"尖兵""领雁"研发攻关计划项目(2023C02043) （2023C02043）
山东省现代农业产业技术体系项目(SDAIT19) （SDAIT19）
