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bioRxiv · 10.1101/2022.04.26.489535

Detection of low numbers of bacterial cells in pharmaceutical drug product using Raman Spectroscopy and PLS-DA multivariate analysis.

Grosso, R. A.·Walther, A. R.·Brunbech, E.·Sorensen, A.·Schebye, B.·Olsen, K. E.·Qu, H.·Hedegaard, M. A.·Arnspang, E. C.
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Abstract

Sterility testing is a laborious and slow process to detect contaminants present in drug products. Raman spectroscopy is a promising label-free tool to detect microorganisms and thus gaining relevance as future alternative culture-free method for sterility testing in pharmaceutical industry. However, reaching detection limits similar to standard procedures while keeping a high accuracy remains challenging, due to weak bacterial Raman signal. In this work, we show a new non-invasive approach focusing on detect different bacteria in concentrations below 100 CFU/ml within drug product containers using Raman spectroscopy and multivariate data analysis. Even though Raman spectra form drug product with and without bacteria are similar, a partial least squared discriminant analysis (PLS-DA) model shows great performance to distinguish samples with bacteria contaminants in limits below 10 CFU/ml. We use spiked samples with bacteria spores for independent validation achieving a detection accuracy of 99%. Our results indicate a great potential of this rapid, and cost-effective approach to be use in quality control of pharmaceutical industry.

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Grosso, R. A., Walther, A. R., Brunbech, E., Sorensen, A., Schebye, B., Olsen, K. E., Qu, H., Hedegaard, M. A., Arnspang, E. C.. 2022-04-26. Detection of low numbers of bacterial cells in pharmaceutical drug product using Raman Spectroscopy and PLS-DA multivariate analysis.. https://doi.org/10.1101/2022.04.26.489535

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