利用近红外光谱法建立大黄药材一致性检验模型

Establishment of Consistency Test Model for Rhubarb by Near-infrared Spectroscopy

目的:建立大黄药材的一致性检验模型,准确快速地对伪品进行鉴别。方法:收集不同来源的大黄及其伪品23批,利用近红外光谱仪采集其近红外光谱,结合OPUS软件,建立一致性鉴别模型。结果:16批次的大黄均在模型设定CI限度范围内,而7批次的伪品均在模型设定CI限度范围外。结论:建立的一致性检验模型能快速、准确地鉴别大黄,并可以有效地应用于药品快检车筛查。

Objective： To establish the consistency test model for rhubarb,and identify the counterfeit accurately and quickly.Methods： Totally 23 batches of rhubarb and its artifacts from different sources were collected. The near infrared spectroscopy was collected by a near infrared spectrometer,and a consistency identification model was established by combining with OPUS software. Results： Totally 16 batches of rhubarb were within the ranges of CI limits,while the 7 batches of counterfeit products were all outside the ranges of CI limits. Conclusion： The consistency test model can quickly and accurately identify rhubarb,and can be effectively applied in the screening of drug testing vehicles.