Investigation of <i>Pseudomonas</i> Biofilm Development and Removal on Dairy Processing Equipment Surfaces Using Fourier Transform Infrared (FT-IR) Spectroscopy

Bibliographic Details
Main Author:	Manuzon, Michele Yabes
Language:	English
Published:	The Ohio State University / OhioLINK 2009
Subjects:	Food Science <i>Pseudomonas</i> biofilm Fourier transform infrared spectroscopy microbial identification detection quantification multivariate analysis soft independent modeling of class analogy (SIMCA) partial least squares regression (PLSR)
Online Access:	http://rave.ohiolink.edu/etdc/view?acc_num=osu1253576498

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spelling	ndltd-OhioLink-oai-etd.ohiolink.edu-osu12535764982021-08-03T05:57:21Z Investigation of <i>Pseudomonas</i> Biofilm Development and Removal on Dairy Processing Equipment Surfaces Using Fourier Transform Infrared (FT-IR) Spectroscopy Manuzon, Michele Yabes Food Science <i>Pseudomonas</i> biofilm Fourier transform infrared spectroscopy microbial identification detection quantification multivariate analysis soft independent modeling of class analogy (SIMCA) partial least squares regression (PLSR) <p>Biofilms pose a significant concern in the food industry since they could contaminate food products with pathogenic and spoilage microorganisms. Their complete removal from processing equipment surfaces is highly desired to ensure the safety and quality of finished products. <i>Pseudomonas</i> spp. are among the most common spoilage agents of dairy, produce, and meat products. These organisms are usually found as part of biofilms in food processing equipment. Rapid methods that would allow the detection and identification of these microorganisms as well as the analysis of their biofilms would greatly benefit the food processing industry.</p><p>In this study, methods based on Fourier transform infrared (FT-IR) spectroscopy were developed and evaluated for the identification of <i>Pseudomonas</i> spp. and also for the detection and rapid compositional analysis of their biofilms. FT-IR spectroscopy was also used to assess the efficiency of clean-in-place (CIP) system for biofilm removal. Results showed that FT-IR spectroscopy when coupled with soft independent modeling of class analogy (SIMCA) could differentiate <i>Pseudomonas</i> spp. from other bacterial genera and among closely-related strains. FT-IR technology also provided characteristic “fingerprint” spectral patterns which showed both major and subtle compositional changes in biofilms during their development. Partial least squares regression (PLSR) models using recovered biofilms showed that there was a good correlation between the FT-IR spectra and the viable cell counts in the biofilm. Evaluation of alkali treatment with and without sodium hypochlorite (NaOCl) showed that biofilm removal was not significantly improved upon NaOCl addition.</p><p>The results of this study demonstrate the great potential of FT-IR spectroscopy and multivariate analysis for the rapid and reliable identification and discrimination of <i>Pseudomonas</i> spp. The developed technique could be used to identify and potentially enumerate <i>Pseudomonas</i> from mixed microbial populations on food processing surfaces and to monitor the contamination patterns of different spoilage strains in the processing environment. FT-IR spectroscopy also provides useful information on the nature of organic contaminants present on equipment surfaces. This technique could find wide applications in the food industry for the rapid detection and compositional analysis of biofilms on food processing equipment, and will be very useful for optimizing and monitoring the effectiveness of equipment cleaning procedures.</p> 2009-11-05 English text The Ohio State University / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=osu1253576498 http://rave.ohiolink.edu/etdc/view?acc_num=osu1253576498 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws.
collection	NDLTD
language	English
sources	NDLTD
topic	Food Science <i>Pseudomonas</i> biofilm Fourier transform infrared spectroscopy microbial identification detection quantification multivariate analysis soft independent modeling of class analogy (SIMCA) partial least squares regression (PLSR)
spellingShingle	Food Science <i>Pseudomonas</i> biofilm Fourier transform infrared spectroscopy microbial identification detection quantification multivariate analysis soft independent modeling of class analogy (SIMCA) partial least squares regression (PLSR) Manuzon, Michele Yabes Investigation of <i>Pseudomonas</i> Biofilm Development and Removal on Dairy Processing Equipment Surfaces Using Fourier Transform Infrared (FT-IR) Spectroscopy
author	Manuzon, Michele Yabes
author_facet	Manuzon, Michele Yabes
author_sort	Manuzon, Michele Yabes
title	Investigation of <i>Pseudomonas</i> Biofilm Development and Removal on Dairy Processing Equipment Surfaces Using Fourier Transform Infrared (FT-IR) Spectroscopy
title_short	Investigation of <i>Pseudomonas</i> Biofilm Development and Removal on Dairy Processing Equipment Surfaces Using Fourier Transform Infrared (FT-IR) Spectroscopy
title_full	Investigation of <i>Pseudomonas</i> Biofilm Development and Removal on Dairy Processing Equipment Surfaces Using Fourier Transform Infrared (FT-IR) Spectroscopy
title_fullStr	Investigation of <i>Pseudomonas</i> Biofilm Development and Removal on Dairy Processing Equipment Surfaces Using Fourier Transform Infrared (FT-IR) Spectroscopy
title_full_unstemmed	Investigation of <i>Pseudomonas</i> Biofilm Development and Removal on Dairy Processing Equipment Surfaces Using Fourier Transform Infrared (FT-IR) Spectroscopy
title_sort	investigation of <i>pseudomonas</i> biofilm development and removal on dairy processing equipment surfaces using fourier transform infrared (ft-ir) spectroscopy
publisher	The Ohio State University / OhioLINK
publishDate	2009
url	http://rave.ohiolink.edu/etdc/view?acc_num=osu1253576498
work_keys_str_mv	AT manuzonmicheleyabes investigationofipseudomonasibiofilmdevelopmentandremovalondairyprocessingequipmentsurfacesusingfouriertransforminfraredftirspectroscopy
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Investigation of <i>Pseudomonas</i> Biofilm Development and Removal on Dairy Processing Equipment Surfaces Using Fourier Transform Infrared (FT-IR) Spectroscopy

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