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使用近红外透光度光谱法对完整片剂中的扑热息痛进行定量分析。

Quantification of paracetamol in intact tablets using near-infrared transmittance spectroscopy.

作者信息

Eustaquio A, Graham P, Jee R D, Moffatt A C, Trafford A D

机构信息

Department of Chemistry, Analytical Unit, University Autonoma of Barcelona, Spain.

出版信息

Analyst. 1998 Nov;123(11):2303-6. doi: 10.1039/a804528c.

Abstract

Production batch samples of paracetamol tablets and specially prepared out-of-specification batches covering the range 90-110% of the stated amount (500 mg) were analysed by the BP official UV assay and by NIR transmittance spectroscopy. NIR measurements were made on 20 intact tablets from each batch, scanned five times each (10 min measurement time per batch) over the spectral range 6000-11,520 cm-1. An average spectrum was calculated for each batch. Partial least squares (PLS) regression models were set up using a calibration set (20 batches) between the NIR response and the reference tablet paracetamol content (UV). Various pre-treatments of the spectra were examined; the smallest relative standard error of prediction (0.73%) was obtained using the first derivative of the absorbance over the full spectrum. Only two principal components were required for the PLS model to give a good relationship between the spectral information and paracetamol content. Applying this model to the validation set (15 batches) gave a mean bias of -0.08% and a mean accuracy of 0.59% with relative standard deviations of 0.75 and 0.44%, respectively. The proposed method is non-destructive and therefore lends itself to on-line/at-line production control purposes. The method is easy to use and does not require a knowledge of the mass of the tablets.

摘要

对扑热息痛片的生产批次样品以及特别制备的超出规格范围(规定含量500毫克的90 - 110%)的批次进行了英国药典(BP)官方紫外分光光度法和近红外透射光谱分析。对每个批次的20片完整片剂进行近红外测量,在6000 - 11,520厘米-1光谱范围内各扫描5次(每批次测量时间为10分钟)。计算每个批次的平均光谱。使用校准集(20个批次)建立了近红外响应与对照片剂扑热息痛含量(紫外法)之间的偏最小二乘法(PLS)回归模型。对光谱进行了各种预处理;使用全光谱吸光度的一阶导数获得了最小预测相对标准误差(0.73%)。PLS模型仅需要两个主成分就能在光谱信息与扑热息痛含量之间建立良好的关系。将该模型应用于验证集(15个批次),平均偏差为-0.08%,平均准确度为0.59%,相对标准偏差分别为0.75和0.44%。所提出的方法是非破坏性的,因此适用于在线/在线生产控制目的。该方法易于使用,且不需要知道片剂的质量。

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