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评估高效薄层色谱法测定药物制剂常规使用的有效性的准确度概况。

Accuracy profiles assessing the validity for routine use of high-performance thin-layer chromatographic assays for drug formulations.

机构信息

Tanzania Food and Drugs Authority, Dar es Salaam, Tanzania.

出版信息

J Chromatogr A. 2013 Jun 7;1293:159-69. doi: 10.1016/j.chroma.2013.03.074. Epub 2013 Apr 8.

Abstract

The accuracy profile, based on total error, integrates several validation parameters, such as trueness, precision and linearity, providing one statistic which enables decision on the suitability of a method for its intended purpose. Two assay methods for formulations are validated using accuracy profiles as an alternative approach to classic method validation. It concerns high-performance thin-layer chromatography (HPTLC) methods, which initially were validated using the classic approach. The first method assayed sulfamethoxazole and trimethoprim, and the second lamivudine, stavudine and nevirapine. Both formulations are fixed-dose combination tablets. The resulting accuracy profiles showed that the 95% β-expectation tolerance limits for all compounds fell well within the bias acceptance limits set at ±5%. This means that the two analytical thin-layer chromatographic methods are capable of making accurate results at the studied concentration ranges of each compound. Measurement uncertainties of every compound at each concentration level could also be determined from the accuracy profile data.

摘要

准确度轮廓图基于总误差,整合了几个验证参数,如准确度、精密度和线性,提供了一个统计量,可用于判断方法是否适合其预期用途。两种制剂的测定方法使用准确度轮廓图进行验证,这是对经典方法验证的替代方法。涉及高效薄层色谱(HPTLC)方法,这些方法最初使用经典方法进行了验证。第一种方法测定了磺胺甲噁唑和甲氧苄啶,第二种方法测定了拉米夫定、司他夫定和奈韦拉平。这两种制剂都是固定剂量组合片剂。得到的准确度轮廓图表明,所有化合物的 95%β 期望容忍限都很好地落在设定的 ±5%偏差接受限内。这意味着两种分析性薄层色谱方法能够在每个化合物的研究浓度范围内得到准确的结果。每个化合物在每个浓度水平的测量不确定度也可以从准确度轮廓图数据中确定。

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