Surface Enhanced Raman Spectroscopy as a Tool for Waterborne Pathogen Testing

The development of a waterborne pathogen detection method that is rapid, multiplex, sensitive, and specific, would be of great assistance for water treatment facilities and would help protect water consumers from harmful pathogens. Here we have utilized surface enhanced Raman spectroscopy (SERS) in...

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Main Author: Wigginton, Krista Rule
Other Authors: Civil Engineering
Format: Others
Published: Virginia Tech 2014
Subjects:
Online Access:http://hdl.handle.net/10919/29330
http://scholar.lib.vt.edu/theses/available/etd-10212008-012204/
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spelling ndltd-VTETD-oai-vtechworks.lib.vt.edu-10919-293302020-09-26T05:31:54Z Surface Enhanced Raman Spectroscopy as a Tool for Waterborne Pathogen Testing Wigginton, Krista Rule Civil Engineering Vikesland, Peter J. Dove, Patricia M. Little, John C. Tanko, James M. Love, Nancy G. surface enhanced Raman spectroscopy Cryptosporidium parvum drinking water Giardia lamblia bacteriophage pathogen detection The development of a waterborne pathogen detection method that is rapid, multiplex, sensitive, and specific, would be of great assistance for water treatment facilities and would help protect water consumers from harmful pathogens. Here we have utilized surface enhanced Raman spectroscopy (SERS) in a sensitive multiplex pathogen detection method. Two strategies are proposed herein, one that utilizes SERS antibody labels and one that measures the intrinsic SERS signal of organisms. For the SERS label strategy, gold nanoparticles are conjugated with antibodies specific to Cryptosporidium parvum and Giardia lamblia and with organic dye molecules. The dye molecules, rhodamine B isothiocyanate (RBITC) and malachite green isothiocyanate (MGITC) were surface enhanced by the gold nanoparticles resulting in unique fingerprint SERS spectra. The SERS label method was successful in detecting G. lamblia and C. parvum simultaneously. The method was subsequently coupled with a filtration step to both concentrate and capture cysts on a flat surface for detection. Raman mapping across the filter membrane detected ~95% of the spiked cysts in the optimized system. In the second type of strategy, intrinsic virus SERS signals were detected with silver nanoparticles for enhancement. Principal component analysis performed on the spectra data set resulted in the successful differentiation of MS2 and PhiX174 species and also for the differentiation of viable virus samples and inactivated virus samples. Ph. D. 2014-03-14T20:17:32Z 2014-03-14T20:17:32Z 2008-10-02 2008-10-21 2011-09-05 2008-11-25 Dissertation etd-10212008-012204 http://hdl.handle.net/10919/29330 http://scholar.lib.vt.edu/theses/available/etd-10212008-012204/ KRW_ETD_112108.pdf In Copyright http://rightsstatements.org/vocab/InC/1.0/ application/pdf Virginia Tech
collection NDLTD
format Others
sources NDLTD
topic surface enhanced Raman spectroscopy
Cryptosporidium parvum
drinking water
Giardia lamblia
bacteriophage
pathogen detection
spellingShingle surface enhanced Raman spectroscopy
Cryptosporidium parvum
drinking water
Giardia lamblia
bacteriophage
pathogen detection
Wigginton, Krista Rule
Surface Enhanced Raman Spectroscopy as a Tool for Waterborne Pathogen Testing
description The development of a waterborne pathogen detection method that is rapid, multiplex, sensitive, and specific, would be of great assistance for water treatment facilities and would help protect water consumers from harmful pathogens. Here we have utilized surface enhanced Raman spectroscopy (SERS) in a sensitive multiplex pathogen detection method. Two strategies are proposed herein, one that utilizes SERS antibody labels and one that measures the intrinsic SERS signal of organisms. For the SERS label strategy, gold nanoparticles are conjugated with antibodies specific to Cryptosporidium parvum and Giardia lamblia and with organic dye molecules. The dye molecules, rhodamine B isothiocyanate (RBITC) and malachite green isothiocyanate (MGITC) were surface enhanced by the gold nanoparticles resulting in unique fingerprint SERS spectra. The SERS label method was successful in detecting G. lamblia and C. parvum simultaneously. The method was subsequently coupled with a filtration step to both concentrate and capture cysts on a flat surface for detection. Raman mapping across the filter membrane detected ~95% of the spiked cysts in the optimized system. In the second type of strategy, intrinsic virus SERS signals were detected with silver nanoparticles for enhancement. Principal component analysis performed on the spectra data set resulted in the successful differentiation of MS2 and PhiX174 species and also for the differentiation of viable virus samples and inactivated virus samples. === Ph. D.
author2 Civil Engineering
author_facet Civil Engineering
Wigginton, Krista Rule
author Wigginton, Krista Rule
author_sort Wigginton, Krista Rule
title Surface Enhanced Raman Spectroscopy as a Tool for Waterborne Pathogen Testing
title_short Surface Enhanced Raman Spectroscopy as a Tool for Waterborne Pathogen Testing
title_full Surface Enhanced Raman Spectroscopy as a Tool for Waterborne Pathogen Testing
title_fullStr Surface Enhanced Raman Spectroscopy as a Tool for Waterborne Pathogen Testing
title_full_unstemmed Surface Enhanced Raman Spectroscopy as a Tool for Waterborne Pathogen Testing
title_sort surface enhanced raman spectroscopy as a tool for waterborne pathogen testing
publisher Virginia Tech
publishDate 2014
url http://hdl.handle.net/10919/29330
http://scholar.lib.vt.edu/theses/available/etd-10212008-012204/
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