Fiber-Optic Infrared Reflection Absorption Spectroscopy for Trace Analysis on Surfaces of Varying Roughness: Sodium Dodecyl Sulfate on Stainless Steel-Reference-Cited by-同舟云学术

Fiber-Optic Infrared Reflection Absorption Spectroscopy for Trace Analysis on Surfaces of Varying Roughness: Sodium Dodecyl Sulfate on Stainless Steel

Published:2006-05 Issue:5 Volume:60 Page:516-520
ISSN:0003-7028
Container-title:Applied Spectroscopy
language:en
Short-container-title:Appl Spectrosc

Author:

Hamilton Michelle L.¹,Perston Benjamin B.¹,Harland Peter W.¹,Williamson Bryce E.¹,Thomson Mary A.¹,Melling Peter J.¹

Affiliation:

1. Department of Chemistry, University of Canterbury, Christchurch, New Zealand (M.L.H., B.B.P., P.W.H., B.E.W.); and Remspec Corporation, Sturbridge, Massachusetts 01507 (M.A.T., P.J.M.)

Abstract

The effect of surface roughness on the analytical performance of a fiber-optic grazing-angle infrared reflection absorption spectroscopy (IRRAS) system has been investigated. The instrument was used to develop calibrations to quantify trace surface loadings for sodium dodecyl sulfate (SDS) on 316 stainless steel with three different surface finishes. Partial least squares (PLS) calibrations were developed for both individual finishes and combinations of finishes. For SDS on individual surface finishes, the root mean square (rms) error of cross-validation (RMSECV) varied between 0.08 and 0.12 μg cm−2 with values of R2 between 0.89 and 0.96. A combined model for SDS on all surfaces gave an RMSECV of 0.18 μg cm−2 with an R2 of 0.85.

Publisher

SAGE Publications

Subject

Spectroscopy,Instrumentation

Link

http://journals.sagepub.com/doi/pdf/10.1366/000370206777412239

Reference8 articles.

1. Grazing-Angle Fiber-Optic IRRAS for in Situ Cleaning Validation

2. Partial least-squares methods for spectral analyses. 1. Relation to other quantitative calibration methods and the extraction of qualitative information

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Handheld FTIR outperforms total organic carbon swab in pharmaceutical cleaning validation;The Analyst;2023

2. Identifying pharmaceutical manufacturing equipment's surface roughness and mitigating robustness concerns when using specular reflectance Fourier-transform infrared (FTIR) spectroscopy for rapid cleaning verification;Talanta Open;2022-12

3. 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;2022-07-18

4. Investigation of an alternative approach for real-time cleaning verification in the pharmaceutical industry;The Analyst;2020

5. Mid-IR Spectroscopy as a Tool for Cleanliness Validation;Developments in Surface Contamination and Cleaning;2015