RODRÍGUEZ MARCELA CECILIA
Capítulos de libros
Título:
Applications of Carbon Nanotubes Based Electrochemical Sensing Strategies for Heavy Metals and Arsenic Quantification
Autor/es:
RODRÍGUEZ, MARCELA CECILIA; MARÍA D. RUBIANES; FABIANA A. GUTIERREZ; MARCOS EGUILAZ RUBIO; PABLO R. DALMASSO; MARÍA LAURA RAMÍREZ; CECILIA S. TETTAMANTI; MONTEMERLO, ANTONELLA; GALLAY, PABLO; GUSTAVO A. RIVAS; PAWEL K. ZARZYCKI
Libro:
Pure and Functionalized Carbon Based Nanomaterials: Analytical, Biomedical, Civil and Environmental Engineering Applications
Editorial:
Taylor and Francis
Referencias:
Lugar: Londres; Año: 2020; p. 197 - 227
Resumen:
The outbreak of industrialization and urbanization in recent decades is a subjectof great global concern due to its contribution to the increase of environmentalpollution. Heavy metals and arsenic derived from industrial and agriculturalactivities lead the ranking of harmful environmental chemicals. In this sense, thebiggest challenge is the production of powerful analytical tools with highsensitivity and reliability, rapid response, selectivity, precision, lowermanufacturing costs and reagents, production of waste, consumption ofsamples as well as miniaturization processes that allow the construction ofpoint-of-care devices and in-situ analysis. In recent years, the application ofnanomaterials for the design of analytical platforms has become a new strategyto improve construction technologies and the associated performance ofchemical sensors and biosensors. Among nanomaterials, carbon nanotubes(CNT) have been used for the development of electrochemical sensors due totheir interesting physical, chemical and electrical properties. This reviewfocuses on the critical discussion of the most representative electrochemicalsensors based on CNT for the quantification of different markers ofenvironmental damage (arsenic, lead, cadmium, mercury, chromium and otherpriority detrimental heavy metals) reported in the 2014-2018 period. We focusour attention on the role of CNT during the recognition event and signaltransduction as well as on the overall analytical performance of the resultingplatforms.