Estimation of the number of scans required per hard-to-clean location and establishing the limit of quantification of a partial least squares calibration model when the FTIR is used for pharmaceutical cleaning verification

Simple item page
dc.contributor.authorSarwar, Apu
dc.contributor.authorMcSweeney, Conor
dc.contributor.authorSmith, Mark
dc.contributor.authorMoore, Eric
dc.contributor.funderIrish Research Councilen
dc.date.accessioned2023-02-27T15:21:59Z
dc.date.available2023-02-27T15:21:59Z
dc.date.issued2022-07
dc.date.updated2023-02-27T14:58:36Z
dc.description.abstractThis study aims to identify two critical components required for pharmaceutical cleaning verification when an FTIR is used: (a) the number of scans required per hard-to-clean location, and (b) the limit of quantification (LOQ) of the FTIR instrument when measuring the surface contamination. The current practice in pharmaceutical manufacturing does not require multiple samples as it is standard practice to collect a single swab sample from a 25 x 25 cm area from a difficult-to-reach area of the manufacturing equipment. However, since the FTIR will only scan a tiny portion of the surface compared to the swab, a sufficient number of samples (data points) are required to provide enough confidence to ensure that the measurement results are close to the true value with a maximum degree of certainty. Similarly, calculating the LOQ for a linear regression could be straightforward. However, complexity arises when the experimental data are complex; in this case, the complexity arises due to the nature of the measurement and the lack of the defined peak in the pre-processed spectra. Therefore, this study uses the practical approach of calculating the sample size and the LOQ.en
dc.description.sponsorshipIrish Research Council (Grant Number EBPPG/2020/127)en
dc.description.statusPeer revieweden
dc.description.versionPublished Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.articleid4569en
dc.identifier.citationSarwar, A., McSweeney, C., Smith, M. and Moore, E. (2022) ‘Estimation of the number of scans required per hard-to-clean location and establishing the limit of quantification of a partial least squares calibration model when the FTIR is used for pharmaceutical cleaning verification’, Molecules, 27(14), 4569 (9pp). doi: 10.3390/molecules27144569en
dc.identifier.doi10.3390/molecules27144569en
dc.identifier.endpage9en
dc.identifier.issn1420-3049
dc.identifier.issued14en
dc.identifier.journaltitleMoleculesen
dc.identifier.startpage1en
dc.identifier.urihttps://hdl.handle.net/10468/14247
dc.identifier.volume27en
dc.language.isoenen
dc.publisherMDPIen
dc.rights© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).en
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subjectReflection-absorption spectroscopyen
dc.subjectVarying roughnessen
dc.subjectTrace analysisen
dc.subjectSurfacesen
dc.titleEstimation of the number of scans required per hard-to-clean location and establishing the limit of quantification of a partial least squares calibration model when the FTIR is used for pharmaceutical cleaning verificationen
dc.typeArticle (peer-reviewed)en
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
molecules-27-04569_(1).pdf
Size:
1.06 MB
Format:
Adobe Portable Document Format
Description:
Published Version
Download
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
2.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Chemistry - Journal Articles