Cargando…
Spectroscopy with computational analysis in virological studies: A decade (2006–2016)
This review presents a retrospective of the studies carried out in the last 10 years (2006–2016) using spectroscopic methods as a research tool in the field of virology. Spectroscopic analyses are sensitive to variations in the biochemical composition of the sample, are non-destructive, fast and req...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7112788/ https://www.ncbi.nlm.nih.gov/pubmed/32287542 http://dx.doi.org/10.1016/j.trac.2017.09.015 |
_version_ | 1783513542781042688 |
---|---|
author | Santos, Marfran C.D. Morais, Camilo L.M. Nascimento, Yasmin M. Araujo, Josélio M.G. Lima, Kássio M.G. |
author_facet | Santos, Marfran C.D. Morais, Camilo L.M. Nascimento, Yasmin M. Araujo, Josélio M.G. Lima, Kássio M.G. |
author_sort | Santos, Marfran C.D. |
collection | PubMed |
description | This review presents a retrospective of the studies carried out in the last 10 years (2006–2016) using spectroscopic methods as a research tool in the field of virology. Spectroscopic analyses are sensitive to variations in the biochemical composition of the sample, are non-destructive, fast and require the least sample preparation, making spectroscopic techniques tools of great interest in biological studies. Herein important chemometric algorithms that have been used in virological studies are also evidenced as a good alternative for analyzing the spectra, discrimination and classification of samples. Techniques that have not yet been used in the field of virology are also suggested. This methodology emerges as a new and promising field of research, and may be used in the near future as diagnosis tools for detecting diseases caused by viruses. |
format | Online Article Text |
id | pubmed-7112788 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-71127882020-04-02 Spectroscopy with computational analysis in virological studies: A decade (2006–2016) Santos, Marfran C.D. Morais, Camilo L.M. Nascimento, Yasmin M. Araujo, Josélio M.G. Lima, Kássio M.G. Trends Analyt Chem Article This review presents a retrospective of the studies carried out in the last 10 years (2006–2016) using spectroscopic methods as a research tool in the field of virology. Spectroscopic analyses are sensitive to variations in the biochemical composition of the sample, are non-destructive, fast and require the least sample preparation, making spectroscopic techniques tools of great interest in biological studies. Herein important chemometric algorithms that have been used in virological studies are also evidenced as a good alternative for analyzing the spectra, discrimination and classification of samples. Techniques that have not yet been used in the field of virology are also suggested. This methodology emerges as a new and promising field of research, and may be used in the near future as diagnosis tools for detecting diseases caused by viruses. Elsevier B.V. 2017-12 2017-09-21 /pmc/articles/PMC7112788/ /pubmed/32287542 http://dx.doi.org/10.1016/j.trac.2017.09.015 Text en © 2017 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Santos, Marfran C.D. Morais, Camilo L.M. Nascimento, Yasmin M. Araujo, Josélio M.G. Lima, Kássio M.G. Spectroscopy with computational analysis in virological studies: A decade (2006–2016) |
title | Spectroscopy with computational analysis in virological studies: A decade (2006–2016) |
title_full | Spectroscopy with computational analysis in virological studies: A decade (2006–2016) |
title_fullStr | Spectroscopy with computational analysis in virological studies: A decade (2006–2016) |
title_full_unstemmed | Spectroscopy with computational analysis in virological studies: A decade (2006–2016) |
title_short | Spectroscopy with computational analysis in virological studies: A decade (2006–2016) |
title_sort | spectroscopy with computational analysis in virological studies: a decade (2006–2016) |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7112788/ https://www.ncbi.nlm.nih.gov/pubmed/32287542 http://dx.doi.org/10.1016/j.trac.2017.09.015 |
work_keys_str_mv | AT santosmarfrancd spectroscopywithcomputationalanalysisinvirologicalstudiesadecade20062016 AT moraiscamilolm spectroscopywithcomputationalanalysisinvirologicalstudiesadecade20062016 AT nascimentoyasminm spectroscopywithcomputationalanalysisinvirologicalstudiesadecade20062016 AT araujojoseliomg spectroscopywithcomputationalanalysisinvirologicalstudiesadecade20062016 AT limakassiomg spectroscopywithcomputationalanalysisinvirologicalstudiesadecade20062016 |