Identifying and Mitigating Errors in Screening for Organic Extractables and Leachables: Part 1-Introduction to Errors in Chromatographic Screening for Organic Extractables and Leachables and Discussion of the Errors of Omission
| Autor: | Jean-Marie Beusen, Dennis Jenke, Philippe Verlinde, Jan Baeten, Piet Christiaens |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Chromatography
Gas 010405 organic chemistry Computer science Chemistry Pharmaceutical 010401 analytical chemistry Pharmaceutical Science 01 natural sciences 0104 chemical sciences Screening analysis Reliability engineering Clinical therapy Pharmaceutical Preparations Research Design Screening method Pharmaceutical manufacturing Equipment Contamination Humans Drug Contamination Test sample Drug Packaging Chromatography Liquid |
| Zdroj: | PDA journal of pharmaceutical science and technology. 74(1) |
| ISSN: | 1948-2124 |
| Popis: | Substances leached from materials used in pharmaceutical manufacturing systems, packages, and/or medical devices can be administered to a patient as part of a clinical therapy. These leachables can have an undesirable effect on the effectiveness of the therapy and/or patient safety. Thus, relevant samples such as material extracts or drug products are chromatographically screened for foreign organic impurities, where screening is the analytical process of discovering, identifying, and quantifying these unspecified foreign impurities. Although screening methods for organic extractables and leachables have achieved a high degree of technical and practical sophistication, they are not without issues with respect to their ability to accomplish the aforementioned three functions. In this first part of a series of three manuscripts, the process of screening is examined, limitations in screening are identified, and the concept of using an internally developed analytical database to identify, mitigate, or correct these errors is introduced. Furthermore, errors of omission are described, where an error of omission occurs when a screening method fails to produce a recognizable response to an analyte present in the test sample. The error may be that no response is produced ("falling through the cracks") or that a produced response is not recognizable ("failing to see the tree for the forest"). In either case, proper use of a robust internal extractables/leachables database can decrease the frequency with which errors of omission occur. Examples of omission errors, their causes, and their possible resolution are discussed. |
| Databáze: | OpenAIRE |
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