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Bio-Recognition in Spectroscopy-Based Biosensors for *Heavy Metals-Water and Waterborne Contamination Analysis

Microsystems and biomolecules integration as well multiplexing determinations are key aspects of sensing devices in the field of heavy metal contamination monitoring. The present review collects the most relevant information about optical biosensors development in the last decade. Focus is put on an...

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Detalles Bibliográficos
Autores principales: Aloisi, Alessandra, Della Torre, Antonio, De Benedetto, Angelantonio, Rinaldi, Rosaria
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6784378/
https://www.ncbi.nlm.nih.gov/pubmed/31366137
http://dx.doi.org/10.3390/bios9030096
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author Aloisi, Alessandra
Della Torre, Antonio
De Benedetto, Angelantonio
Rinaldi, Rosaria
author_facet Aloisi, Alessandra
Della Torre, Antonio
De Benedetto, Angelantonio
Rinaldi, Rosaria
author_sort Aloisi, Alessandra
collection PubMed
description Microsystems and biomolecules integration as well multiplexing determinations are key aspects of sensing devices in the field of heavy metal contamination monitoring. The present review collects the most relevant information about optical biosensors development in the last decade. Focus is put on analytical characteristics and applications that are dependent on: (i) Signal transduction method (luminescence, colorimetry, evanescent wave (EW), surface-enhanced Raman spectroscopy (SERS), Förster resonance energy transfer (FRET), surface plasmon resonance (SPR); (ii) biorecognition molecules employed (proteins, nucleic acids, aptamers, and enzymes). The biosensing systems applied (or applicable) to water and milk samples will be considered for a comparative analysis, with an emphasis on water as the primary source of possible contamination along the food chain.
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spelling pubmed-67843782019-10-16 Bio-Recognition in Spectroscopy-Based Biosensors for *Heavy Metals-Water and Waterborne Contamination Analysis Aloisi, Alessandra Della Torre, Antonio De Benedetto, Angelantonio Rinaldi, Rosaria Biosensors (Basel) Review Microsystems and biomolecules integration as well multiplexing determinations are key aspects of sensing devices in the field of heavy metal contamination monitoring. The present review collects the most relevant information about optical biosensors development in the last decade. Focus is put on analytical characteristics and applications that are dependent on: (i) Signal transduction method (luminescence, colorimetry, evanescent wave (EW), surface-enhanced Raman spectroscopy (SERS), Förster resonance energy transfer (FRET), surface plasmon resonance (SPR); (ii) biorecognition molecules employed (proteins, nucleic acids, aptamers, and enzymes). The biosensing systems applied (or applicable) to water and milk samples will be considered for a comparative analysis, with an emphasis on water as the primary source of possible contamination along the food chain. MDPI 2019-07-30 /pmc/articles/PMC6784378/ /pubmed/31366137 http://dx.doi.org/10.3390/bios9030096 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Aloisi, Alessandra
Della Torre, Antonio
De Benedetto, Angelantonio
Rinaldi, Rosaria
Bio-Recognition in Spectroscopy-Based Biosensors for *Heavy Metals-Water and Waterborne Contamination Analysis
title Bio-Recognition in Spectroscopy-Based Biosensors for *Heavy Metals-Water and Waterborne Contamination Analysis
title_full Bio-Recognition in Spectroscopy-Based Biosensors for *Heavy Metals-Water and Waterborne Contamination Analysis
title_fullStr Bio-Recognition in Spectroscopy-Based Biosensors for *Heavy Metals-Water and Waterborne Contamination Analysis
title_full_unstemmed Bio-Recognition in Spectroscopy-Based Biosensors for *Heavy Metals-Water and Waterborne Contamination Analysis
title_short Bio-Recognition in Spectroscopy-Based Biosensors for *Heavy Metals-Water and Waterborne Contamination Analysis
title_sort bio-recognition in spectroscopy-based biosensors for *heavy metals-water and waterborne contamination analysis
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6784378/
https://www.ncbi.nlm.nih.gov/pubmed/31366137
http://dx.doi.org/10.3390/bios9030096
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