中国茶叶2025，Vol.47Issue(11)：68-73,6.
基于近红外光谱分析技术的洞庭(山)碧螺春茶品质快速检测模型构建研究
Building the Rapid Detection Model of Dongting(Mountain)Biluochun Tea Quality Based on Near Infrared Spectroscopy
摘要
Abstract
This study obtained near infrared spectra of Dongting(mountain)Biluochun tea samples and detected quality indicators such as water content,water extract,tea polyphenols,total free amino acids,catechin components and total content and caffeine.A rapid quality detection model was subsequently developed by preprocessing the spectral data and combining it with partial least squares method.The results show that the correlation coefficients of the 11 established rapid detection models for quality indicators were all greater than 0.9,and the root mean square errors were all relatively small.The model shows good predictive accuracy and stability,enabling rapid de-tection of multiple quality indicators for Dongting(mountain)Biluochun tea.关键词
近红外光谱/洞庭(山)碧螺春茶/品质检测/预测模型Key words
near infrared spectroscopy/Dongting(mountain)Biluochun tea/quality detection/prediction model分类
轻工业引用本文复制引用
杨剑波,周锋杰,朱云华,顾蕴倩,周文兰..基于近红外光谱分析技术的洞庭(山)碧螺春茶品质快速检测模型构建研究[J].中国茶叶,2025,47(11):68-73,6.基金项目
优质安全碧螺春茶质量管控与溯源体系关键技术攻关(SNG2023002) （SNG2023002）
