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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 col-lected by a near infrared spectrometer, and a consistency identification model was established by combining with OPUS software. Re-sults: 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.