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作 者:李树[1] 曹岩[1] 乐健[2] 陈桂良[2] 柴逸峰[1] 陆峰[1]
机构地区:[1]第二军医大学药学院,上海200433 [2]上海市药品检验所,上海200233
出 处:《光谱学与光谱分析》2009年第2期327-330,共4页Spectroscopy and Spectral Analysis
基 金:上海市科学技术委员会技术标准专项(05dz05006)资助
摘 要:建立了一种基于红外光谱用于检测中药掺杂的违禁化学药物的方法——局部直线筛选法(local straight-line screening,LSLS)。该法区别于传统的光谱计量学方法,无需模式识别或模型校正,仅利用待测中药与化学药物的各一张红外光谱,通过提取差谱过程中特征吸收峰信息的变化规律而进行掺杂物的判定。以盐酸芬氟拉明、盐酸西布曲名、枸橼酸西地那非及洛伐他汀四种化学药物做为对照品,对16个不同中药样品分别进行了检测判定。结果表明,尽管中药光谱信息包埋严重,LSLS算法仍能以较好的准确性对掺杂成分做出判别。由于具备简便、快速、经济的优势,使得方法非常适用于大量中药样品的初筛及检测,可为基层打假一线提供有力的技术支持。The present paper constructs a new approach named local straight-line screening (LSLS) to detect Chinese proprietary medicines (CPM) containing undeclared prescription drugs (UPD). Different from traditional methods used in analysis of multicomponent spectrum, LSLS is proposed according to the characteristics of original infrared spectra of the UPD and suspected CPM, without any pattern recognition or concentration model establishment. Spectrum-subtraction leads to the variance in local straight line, which serves as a key in discrimination of whether suspected CPD is adulterated or not. Sibutramine hydrochloride, fenfluramine hydrochloride, sildenafil citrate and lovastatin were used as reference substances of UPD to analyze 16 suspected CPM samples. The results show that LSLS can obtain an accurate quantitative and qualitative analysis of suspected CPM. It is possible for the method to be potentially used in the preliminary screening of CPM containing possible UPD.
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