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Quantitative energy-dispersive X-ray diffraction for identification of counterfeit medicines: a preliminary study

机译:定量能量色散X射线衍射鉴定假药的初步研究

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The prevalence of counterfeit and substandard medicines has been growing rapidly over the past decade, and fast, nondestructive techniques for their detection are urgently needed to counter this trend. In this study, energy-dispersive X-ray diffraction (EDXRD) combined with chemometrics was assessed for its effectiveness in quantitative analysis of compressed powder mixtures. Although EDXRD produces lower-resolution diffraction patterns than angular-dispersive X-ray diffraction (ADXRD), it is of interest for this application as it carries the advantage of allowing the analysis of tablets within their packaging, due to the higher energy X-rays used. A series of caffeine, paracetamol and microcrystalline cellulose mixtures were prepared with compositions between 0 -100 weight% in 20 weight% steps (22 samples in total, including a centroid mixture), and were pressed into tablets. EDXRD spectra were collected in triplicate, and a principal component analysis (PCA) separated these into their correct positions in the ternary mixture design. A partial least-squares (PLS) regression model calibrated using this training set was validated using both segmented cross-validation, and with a test set of six samples (mixtures in 8:1:1 and 51/3:21/3:21/3 ratios) - the latter giving a root-mean square error of prediction (RMSEP) of 1.30, 2.25 and 2.03 weight% for caffeine, paracetamol and cellulose respectively. These initial results are promising, with RMSEP values on a par with those reported in the ADXRD literature.
机译:在过去的十年中,假冒和不合格药品的流行迅速增长,迫切需要快速,无损的检测技术来应对这种趋势。在这项研究中,评估了能量色散X射线衍射(EDXRD)与化学计量学相结合对压缩粉末混合物定量分析的有效性。尽管EDXRD产生的分辨率低于角分散X射线衍射(ADXRD),但由于高能X射线具有携带分析片剂的优势,因此EDXRD值得关注。用过的。以20重量%的步骤制备一系列咖啡因,扑热息痛和微晶纤维素混合物,组成在0 -100重量%之间(总共22个样品,包括质心混合物),然后压制成片剂。一式三份收集EDXRD光谱,并进行主成分分析(PCA)将其分离为三元混合物设计中的正确位置。使用分段交叉验证和六个样本的测试集(混合比例为8:1:1和51/3:21/3:21),验证了使用此训练集校准的偏最小二乘(PLS)回归模型/ 3比率)-后者给出的咖啡因,对乙酰氨基酚和纤维素的预测均方根误差(RMSEP)分别为1.30、2.25和2.03重量%。这些初步结果令人鼓舞,其RMSEP值与ADXRD文献报道的相当。

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