Feasibility of near Infrared Chemical Imaging for Pharmaceutical Cleaning Verification

Author:

Alvarez-Jubete Laura1,Mishra Jaya1,Jones Ian2,Cullen Patrick J.1,Sullivan Carl1

Affiliation:

1. School of Food Science and Environmental Health, Dublin Institute of Technology, Dublin, Ireland

2. School of Chemical and Pharmaceutical Sciences, Dublin Institute of Technology, Dublin, Ireland

Abstract

In conformity with the 2011 Food and Drug Administration guidance for industry, Process Validation: General Principles and Practices, there is a requirement for new methodologies that support continued cleaning verification of manufacturing equipment. Near infrared chemical imaging (NIR-CI) represents an attractive alternative to the current methodologies for cleaning verification since it represents a direct, rapid and sensitive technology. The aim of this study was to test the feasibility of NIR-CI for cleaning verification. Stainless steel, glass and Perspex surfaces were soiled with selected active pharmaceutical ingredients (APIs) with the resulting hyperspectral data employed to identify and quantify the dried residues. Correlations to high-performance liquid chromatography (HPLC) swab analysis were also made. Linear models were obtained for the number of API classified pixels and applied soil concentration with R2 values of 0.90 and 0.98 for caffeine and sulfathiazole sodium salt, respectively, on stainless steel coupons. In the case of caffeine soils on borosilicate glass and Perspex coupons, the obtained R2 values were 0.95 and 0.96, respectively. These R2 values suggest a linear relationship between the number of API classified pixels and applied soil concentration. The calculated detection limits for caffeine and sulfathiazole sodium salt soils on stainless steel coupons were 48 μg and 18 μg 50 mm−2, respectively. For caffeine soils on borosilicate glass and Perspex coupons the calculated detection limits were 33 μg and 27 μg 50 mm−2, respectively. However, visual inspection of the NIR-CI following the classification function point to limits of detection closer to 1 μg 50 mm−2 or lower. High correlations ( R2 of 0.91 and 0.93 for caffeine and sulfathiazole sodium salt, respectively) were also obtained between NIR-CI API soil quantification and swabbing/HPLC analysis. This research points to possible future use of portable CI systems for continued cleaning verification of pharmaceutical residues.

Publisher

SAGE Publications

Subject

Spectroscopy

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3