The Implications of Chromatographically Screening Medical Products for Organic Leachables Down to the Analytical Evaluation Threshold Adjusted for Response Factor Variation

分析物 假阳性悖论 消费者安全 响应系数 色谱法 计算机科学 化学 可靠性工程 医学 风险分析(工程) 机器学习 工程类
作者
Dennis Jenke,Ted Heise
出处
期刊:Pda Journal of Pharmaceutical Science and Technology [Parenteral Drug Association, Inc.]
卷期号:75 (3): 273-288 被引量:3
标识
DOI:10.5731/pdajpst.2020.012013
摘要

A drug product is chromatographically screened for organic leachables, derived from the product’s packaging system, as leachables might adversely impact the health of a patient to whom the drug product is administered. Similarly, medical device and packaging system extracts are chromatographically screened for organic extractables as probable leachables. To be protective of patient health, the screening methods must produce recognizable responses for all potentially unsafe substances. To be efficient, the screening methods should provide a means of differentiating between the responses linked to likely to be safe substances and to potentially unsafe substances. The analytical evaluation threshold (AET) was established as a means of differentiating chromatographic peaks, based on concentration, that are unlikely to be unsafe (and thus do not need safety assessment) and that are possibly unsafe (and thus require safety assessment). Thus, the AET manages the competing objectives of protection and efficiency. Although the AET is based on concentration, it is applied based on response. As no chromatographic detection method applied to extractables and leachables screening produces a uniform response to all potential analytes (thus, the magnitude of the response differs across analytes), the objectives of protection or efficiency can be compromised by false negatives and positives. To ensure protection at the expense of efficiency, the AET can be adjusted to address response variation. This article addresses the practical issue that the protectiveness of the AET is affected both by response factor bias and variation and thus correction for only variation is incomplete and ineffective. The article illustrates the proper adjustment of the AET for bias and variation.

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