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Multispectral imaging of tablets in blister packaging

机译:泡罩包装中片剂的多光谱成像

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摘要

This experiment tested the hypothesis that using near-infrared (IR) imaging spectrometry on tablets through blister packs permits the identification and composition of multiple individual tablets to be determined simultaneously. Aspirin was selected for this study because its breakdown mechanism is well understood. Near-IR cameras were used to collect thousands of spectra simultaneously from a field of packaged aspirin tablets. Tablets were selected by a principal component analysis selection alogorithm. Graphs of the columns of the transformation matrix showed that salicylic acid and acetylsalicylic acid in the samples were modeled by the principal components. The bootstrap error-adjusted single-sample technique chemometric-imaging algorithm was used to draw probability-density contour plots that revealed tablet composition. Choice of color was used to represent constituent identity, whereas intensity represented concentration. The percentage of usable pixels in the indium antimonide (InSb) array was 99.9%. The SEP was 0.06% of the tablet mass for both water uptake and salicylic acid production. The number of tablets that a typical near-IR camera can currently analyze simultaneously was also estimated to be approximately 1300.
机译:该实验检验了以下假设,即通过泡罩包装在片剂上使用近红外(IR)成像光谱法可以同时确定多个单个片剂的鉴定和组成。选择阿司匹林进行此项研究是因为其分解机理已广为人知。近红外摄像机用于从包装的阿司匹林片剂领域同时收集数千个光谱。通过主成分分析选择算法选择片剂。转化基质柱的图表明,样品中的水杨酸和乙酰水杨酸是通过主要成分建模的。自举误差调整后的单样本技术化学成像成像算法用于绘制显示片剂组成的概率密度等高线图。颜色的选择用来表示成分,而强度表示浓度。锑化铟(InSb)阵列中可用像素的百分比为99.9%。对于吸水和水杨酸生产而言,SEP为片剂质量的0.06%。典型的近红外摄像头目前可以同时分析的平板电脑数量也估计约为1300。

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