PT  - JOURNAL ARTICLE
AU  - Jenke, Dennis
AU  - Christiaens, Piet
AU  - Verlinde, Philippe
AU  - Baeten, Jan
AU  - Beusen, Jean-Marie
TI  - Is Retention Time and/or Structure Matching a Solution to the Challenge of Providing Quantitative Data When Screening for Extractables and Leachables by GC/MS?
AID  - 10.5731/pdajpst.2021.012673
DP  - 2022 May 01
TA  - PDA Journal of Pharmaceutical Science and Technology
PG  - 236--247
VI  - 76
IP  - 3
4099  - http://journal.pda.org/content/76/3/236.short
4100  - http://journal.pda.org/content/76/3/236.full
SO  - PDA J Pharm Sci Technol2022 May 01; 76
AB  - Leachables can potentially and adversely affect patient safety. Thus, drug products and medical devices are chromatographically screened for organic leachables (and extractables), establishing these compounds’ identity and quantity. Accurate quantitation of extractables and leachables is challenging given compound-to-compound variation in response factors. One proposed means for managing variation and improving quantitation accuracy is the use of retention time (RT) and structure to match analytes with their most relevant quantitation surrogate. Although the scientific basis for relationships between RT and structure versus response is unclear, the use of matching was investigated using databases of response factors (RFs) or relative response factors (RRFs), RTs, and structures for extractables/leachables. Gas chromatography with mass spectrometry (MS) detection was investigated as response variation in this technique is less than with other screening methods such as liquid chromatography with MS detection. The overall RF variation across RT and structure makes it difficult to establish whether RT and response or structure and response can be correlated. Rigorous statistical analysis of the data concludes that there are no discernible relationships between these quantities; however, casual visual examination suggests that subtle relationships might exist. The effect that RT or structure matching could have on quantitation accuracy was considered, presuming that the visual trends were real. Under this presumption, it was estimated that RT matching could at most improve quantitation accuracy by 25%, and that structure matching could improve accuracy by at most 50%. However, these improvements do not address the response variation that is independent of RT or structure, and thus it is concluded that RT or structure matching are not viable solutions to RF variation. Rather, it is recommended that databases of authentic RRFs be aggressively populated to provide accurate quantitation. Compounds for which authentic RRFs cannot be secured are most effectively quantified using the median RRF.