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Chemical Sensing of Common Microorganisms Found in Biopharmaceutical Industries Using Mid-Infrared Laser Spectroscopy and Multivariate Analysis
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  • Samuel P Hernandez-Rivera,
  • Wilmer Carrión-Roca,
  • Annette M. Colón-Mercado,
  • Francheska M. Colón-González,
  • John R. Castro-Suarez,
  • Edwin R. Caballero-Agosto,
  • José A. Centeno,
  • Carlos Ríos-Velázquez
Samuel P Hernandez-Rivera
University of Puerto Rico

Corresponding Author:[email protected]

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Wilmer Carrión-Roca
University of Puerto Rico
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Annette M. Colón-Mercado
University of Puerto Rico
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Francheska M. Colón-González
University of Puerto Rico
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John R. Castro-Suarez
Universidad del Sinu - Seccional Cartagena
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Edwin R. Caballero-Agosto
University of Puerto Rico
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José A. Centeno
University of Puerto Rico
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Carlos Ríos-Velázquez
Universidad de Puerto Rico Recinto Universitario de Mayaguez Departamento de Biologia
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Abstract

We report on the spectroscopic investigation of common bacteria encountered in biopharmaceutical industries with spectroscopic definition and specificity using mid-infrared laser spectroscopy. This study describes the detection of three different bacteria species using quantum cascade laser spectroscopy coupled to a grazing angle probe (QCL-GAP). Stainless steel substrates were used as support for the bacterial samples. QCL-GAP spectroscopy was assisted by multivariate analysis (MVA) to assemble a powerful spectroscopic technique with classification, identification, and quantification resources. The bacterial species analyzed, Staphylococcus aureus, Staphylococcus epidermidis, and Micrococcus luteus, were used to challenge the technique’s capability to discriminate microorganisms from the same family. Principal component analysis and partial least squares-discriminant analysis differentiated between the bacterial species using QCL-GAP. Spectral differences in the bacterial membrane were used to determine if these microorganisms were present in the samples analyzed. Results herein provided effective discrimination for the bacteria under study with high sensitivity and specificity values.
22 Sep 2023Submitted to Journal of Biophotonics
22 Sep 2023Submission Checks Completed
22 Sep 2023Assigned to Editor
22 Sep 2023Review(s) Completed, Editorial Evaluation Pending
22 Sep 2023Reviewer(s) Assigned
30 Oct 2023Editorial Decision: Revise Major
30 Jan 2024Review(s) Completed, Editorial Evaluation Pending
31 Jan 2024Editorial Decision: Revise Major
09 Feb 2024Submission Checks Completed
09 Feb 2024Assigned to Editor
11 Feb 2024Editorial Decision: Accept