摘要
提出了用近红外光谱技术实时控制中药提取工艺的新方法。采用光纤近红外光谱法分析不同工艺条件下的栀子药材提取液样本,通过SIMCA方法建立了工艺稳态监控模型,用于评价26个未知样本的工艺状态,成功地判别了其中的全部异常工艺样本。结果表明,近红外光谱结合SIMCA分析方法是一种快速、方便、有效的工艺监测手段,该方法无需对指标成分进行定量,即可通过样品整体近红外光谱监控其工艺是否正常,从而为中药提取工艺的实时控制提供了一条新的思路。
A new approach to the real-time control of extraction procedures based on fiber optic near infrared spectroscopy (NIR) was described. Various extraction samples of gardenia were rapidly scanned by NIR, and the SIMCA monitoring model was developed. The model was applied to evaluate the extraction procedures of 26 unknown samples, and all the samples from abnormal procedures were successfully identified. It is suggested that near infrared spectroscopy, combined with SIMCA method, is a rapid, convenient and efficient tool for real-time procedure monitoring, which needs no quantitative determination and can effectively monitor whether the current procedure is in normal or not. The presented approach, therefore, offers a new way for the quality control in real-time of traditional Chinese medicine.
出处
《光谱学与光谱分析》
SCIE
EI
CAS
CSCD
北大核心
2006年第6期1026-1030,共5页
Spectroscopy and Spectral Analysis
基金
国家"973"重点基础研究项目(G1999054404)
科技部重大专项(2002BA906A29-3)资助项目
关键词
栀子
近红外光谱
SIMCA
实时控制
Furitus gardenia
Near infrared spectroscopy
SIMCA
Real-time control