RT Journal Article
SR Electronic
T1 Correlating GC/MS Relative Response Factors to Analyte’s Physicochemical and Chromatographic Properties to Facilitate the Quantitation of Organic Extractables and Leachables in Non-Targeted Analysis (NTA). Concepts and Empirical Considerations
JF PDA Journal of Pharmaceutical Science and Technology
JO PDA J Pharm Sci Technol
FD Parenteral Drug Association (PDA)
SP 625
OP 642
DO 10.5731/pdajpst.2023.012884
VO 78
IS 6
A1 Jenke, Dennis
A1 Christiaens, Piet
A1 Verlinde, Philippe
A1 Baeten, Jan
A1 Beusen, Jean-Marie
YR 2024
UL http://journal.pda.org/content/78/6/625.abstract
AB Leachables in drug products and from medical devices can adversely affect patient health and thus must be identified and quantified. Accurate and protective quantitation in target analysis for leachables (and extractables as potential leachables) is accomplished via compound-specific calibration curves. Quantification in non-targeted analysis (NTA) is complicated by the variable relative response factors (RRFs) among and between individual leachables and the circumstance that the leachables are not known until the NTA is completed. Protective quantitation in NTA is accomplished in various ways, depending on the identification status of the analyte. When an analyte’s identity is confirmed, it is quantified using the compound’s own RRF, obtained by analysis of a reference standard. In other identification circumstances, the concentration is calculated using a surrogate response, either linked to a surrogate compound or representative of a domain of leachables. Given the difficulty in matching an analyte with a proper surrogate, this article addresses quantitation via the latter approach. This article uses a database of >3000 GC/MS response factors to empirically divide the population of leachables into response factor domains, differentiated by either the analyte’s polarity (log Po/w) or retention time. Using the database, mean RRF values and uncertainty factors (UFs) are established for each domain and are used for quantitation. Protective quantitation is accomplished for nearly 84% of all leachables in the database (and presumably the entire population) by placing an analyte into its proper domain and then using the mean RRF divided by the UF for that domain as a universal response factor for all compounds in the domain.