Por favor, use este identificador para citar o enlazar a este item:
http://hdl.handle.net/10261/255697
COMPARTIR / EXPORTAR:
SHARE CORE BASE | |
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE | |
Título: | Identification of biomarkers in wastewater-based epidemiology: Main approaches and analytical methods |
Autor: | Picó, Yolanda CSIC ORCID; Barceló, Damià CSIC ORCID | Palabras clave: | Bottom-up Chemical mining Top-down Water fingerprinting Water profiling |
Fecha de publicación: | dic-2021 | Editor: | Elsevier | Citación: | TrAC Trends in Analytical Chemistry 145: 116465 (2021) | Resumen: | Wastewater-based epidemiology (WBE) has become popular to estimate the use of drugs of abuse and recently to establish the incidence of CoVID 19 in large cities. However, its possibilities have been expanded recently as a technique that allows to establish a fingerprint of the characteristics of a city, such as state of health/disease, healthy/unhealthy living habits, exposure to different types of contaminants, etc. with respect to other cities. This has been thanks to the identification of human biomarkers as well as to the fingerprinting and profiling of the characteristics of the wastewater catchment that determine these circumstances. The purpose of this review is to analyze the different methodological schemes that have been developed to perform this biomarker identification as well as the most characteristic analytical techniques in each scheme, their advantages and disadvantages and the knowledge gaps identified. We also discussed the future scope for development. | Versión del editor: | https://doi.org/10.1016/j.trac.2021.116465 | URI: | http://hdl.handle.net/10261/255697 | DOI: | 10.1016/j.trac.2021.116465 | ISSN: | 0165-9936 |
Aparece en las colecciones: | (PTI Salud Global) Colección Especial COVID-19 (CIDE) Artículos (IDAEA) Artículos |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
---|---|---|---|---|
1-s2.0-S0165993621002880-main.pdf | Artículo principal | 1,61 MB | Adobe PDF | Visualizar/Abrir |
CORE Recommender
PubMed Central
Citations
6
checked on 18-abr-2024
SCOPUSTM
Citations
13
checked on 19-abr-2024
WEB OF SCIENCETM
Citations
8
checked on 26-feb-2024
Page view(s)
55
checked on 24-abr-2024
Download(s)
179
checked on 24-abr-2024
Google ScholarTM
Check
Altmetric
Altmetric
Artículos relacionados:
NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.