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Confocal Raman microscopy to identify bacteria in oral subgingival biofilm models
The study of oral disease progression, in relation to the accumulation of subgingival biofilm in gingivitis and periodontitis is limited, due to either the ability to monitor plaque in vitro. When compared, optical spectroscopic techniques offer advantages over traditional destructive or biofilm sta...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7213720/ https://www.ncbi.nlm.nih.gov/pubmed/32392236 http://dx.doi.org/10.1371/journal.pone.0232912 |
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author | Kriem, Lukas Simon Wright, Kevin Ccahuana-Vasquez, Renzo Alberto Rupp, Steffen |
author_facet | Kriem, Lukas Simon Wright, Kevin Ccahuana-Vasquez, Renzo Alberto Rupp, Steffen |
author_sort | Kriem, Lukas Simon |
collection | PubMed |
description | The study of oral disease progression, in relation to the accumulation of subgingival biofilm in gingivitis and periodontitis is limited, due to either the ability to monitor plaque in vitro. When compared, optical spectroscopic techniques offer advantages over traditional destructive or biofilm staining approaches, making it a suitable alternative for the analysis and continued development of three-dimensional structures. In this work, we have developed a confocal Raman spectroscopy analysis approach towards in vitro subgingival plaque models. The main objective of this study was to develop a method for differentiating multiple oral subgingival bacterial species in planktonic and biofilm conditions, using confocal Raman microscopy. Five common subgingival bacteria (Fusobacterium nucleatum, Streptococcus mutans, Veillonella dispar, Actinomyces naeslundii and Prevotella nigrescens) were used and differentiated using a 2-way orthogonal Partial Least Square with Discriminant Analysis (O2PLS-DA) for the collected spectral data. In addition to planktonic growth, mono-species biofilms cultured using the ‘Zürich Model’ were also analyzed. The developed method was successfully used to predict planktonic and mono-species biofilm species in a cross validation setup. The results show differences in the presence and absence of chemical bands within the Raman spectra. The O2PLS-DA model was able to successfully predict 100% of all tested planktonic samples and 90% of all mono-species biofilm samples. Using this approach we have shown that Confocal Raman microscopy can analyse and predict the identity of planktonic and mono-species biofilm species, thus enabling its potential as a technique to map oral multi-species biofilm models. |
format | Online Article Text |
id | pubmed-7213720 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-72137202020-05-26 Confocal Raman microscopy to identify bacteria in oral subgingival biofilm models Kriem, Lukas Simon Wright, Kevin Ccahuana-Vasquez, Renzo Alberto Rupp, Steffen PLoS One Research Article The study of oral disease progression, in relation to the accumulation of subgingival biofilm in gingivitis and periodontitis is limited, due to either the ability to monitor plaque in vitro. When compared, optical spectroscopic techniques offer advantages over traditional destructive or biofilm staining approaches, making it a suitable alternative for the analysis and continued development of three-dimensional structures. In this work, we have developed a confocal Raman spectroscopy analysis approach towards in vitro subgingival plaque models. The main objective of this study was to develop a method for differentiating multiple oral subgingival bacterial species in planktonic and biofilm conditions, using confocal Raman microscopy. Five common subgingival bacteria (Fusobacterium nucleatum, Streptococcus mutans, Veillonella dispar, Actinomyces naeslundii and Prevotella nigrescens) were used and differentiated using a 2-way orthogonal Partial Least Square with Discriminant Analysis (O2PLS-DA) for the collected spectral data. In addition to planktonic growth, mono-species biofilms cultured using the ‘Zürich Model’ were also analyzed. The developed method was successfully used to predict planktonic and mono-species biofilm species in a cross validation setup. The results show differences in the presence and absence of chemical bands within the Raman spectra. The O2PLS-DA model was able to successfully predict 100% of all tested planktonic samples and 90% of all mono-species biofilm samples. Using this approach we have shown that Confocal Raman microscopy can analyse and predict the identity of planktonic and mono-species biofilm species, thus enabling its potential as a technique to map oral multi-species biofilm models. Public Library of Science 2020-05-11 /pmc/articles/PMC7213720/ /pubmed/32392236 http://dx.doi.org/10.1371/journal.pone.0232912 Text en © 2020 Kriem et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Kriem, Lukas Simon Wright, Kevin Ccahuana-Vasquez, Renzo Alberto Rupp, Steffen Confocal Raman microscopy to identify bacteria in oral subgingival biofilm models |
title | Confocal Raman microscopy to identify bacteria in oral subgingival biofilm models |
title_full | Confocal Raman microscopy to identify bacteria in oral subgingival biofilm models |
title_fullStr | Confocal Raman microscopy to identify bacteria in oral subgingival biofilm models |
title_full_unstemmed | Confocal Raman microscopy to identify bacteria in oral subgingival biofilm models |
title_short | Confocal Raman microscopy to identify bacteria in oral subgingival biofilm models |
title_sort | confocal raman microscopy to identify bacteria in oral subgingival biofilm models |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7213720/ https://www.ncbi.nlm.nih.gov/pubmed/32392236 http://dx.doi.org/10.1371/journal.pone.0232912 |
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