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

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中图分类号：TS272.7文献标识码：A

文章编号：1000-3150（2025）11-68-6

Building the Rapid Detection Model of Dongting （Mountain） Biluochun Tea Quality Based on Near Infrared Spectroscopy

YANG Jianbo， ZHOU Fengjie， ZHU Yunhua， GU Yunqian， ZHOU Wenlan Suzhou Agricultural Products Safetyand Quality Inspection Center，Suzhou2151oo，China

Abstract：This study obtained near infrared spectra of Dongting （mountain） Biluochun tea samples and detected quality indicators such as water content， water extract，teapolyphenols，total free aminoacids，catechin components and total content and cafeine.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 the1l established rapid detection models forquality indicators were allgreater than O.9，and the root mean square erors were allrelatively small.The model shows good predictive accuracyand stability，enabling rapid detection of multiple quality indicators for Dongting （mountain） Biluochun tea.

Keywords： near infrared spectroscopy， Dongting （mountain） Biluochun tea，quality detection， prediction model

“梅盛每称香雪海，茶尖争说碧螺春”。（剩余6235字）