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首页> 外文期刊>Journal of the Brazilian Chemical Society >A quantitative method using near infrared imaging spectroscopy for determination of surface composition of tablet dosage forms: An example of spirolactone tablets
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A quantitative method using near infrared imaging spectroscopy for determination of surface composition of tablet dosage forms: An example of spirolactone tablets

机译:使用近红外成像光谱法测定片剂剂型表面成分的定量方法:螺内酯片剂实例

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摘要

In this work, near infrared (NIR) imaging spectroscopy was employed in the study of the distribution of the active pharmaceutical ingredient (API) spironolactone and its excipients in tablets. Analyses were performed using 50 μm spatial resolution to analyze 16 mm ~2 of each standard tablet. Interval partial least squares models were used for API and excipients quantification in every pixel in order to obtain concentration maps for each compound. It was obtained errors of quantification between 0.49 and 1.26% when performed the cross-validation using spectral average of each tablet. These calibration models were used to predict individual concentration of each compound in the tablet, in every pixel. The average concentration of all pixels, for each compound yield errors, was between 0.05 and 1.06%. These results indicate that the models were able to quantify all compounds in each pixel. This approach is necessary since it is not possible to know the real concentration of each compound in the pixels.
机译:在这项工作中,近红外(NIR)成像光谱技术被用于研究活性药物成分(API)螺内酯及其赋形剂在片剂中的分布。使用50μm空间分辨率进行分析,以分析每种标准片剂的16 mm〜2。间隔偏最小二乘模型用于每个像素中的API和赋形剂定量,以获得每种化合物的浓度图。使用各片剂的光谱平均值进行交叉验证时,获得的定量误差在0.49至1.26%之间。这些校准模型用于预测片剂中每个像素中每种化合物的单独浓度。对于每种化合物的成品率误差,所有像素的平均浓度在0.05到1.06%之间。这些结果表明,该模型能够量化每个像素中的所有化合物。该方法是必需的,因为不可能知道像素中每种化合物的实际浓度。

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