Cargando…
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...
Autores principales: | , , , |
---|---|
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 |
_version_ | 1783457750004531200 |
---|---|
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. |
format | Online Article Text |
id | pubmed-6784378 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT aloisialessandra biorecognitioninspectroscopybasedbiosensorsforheavymetalswaterandwaterbornecontaminationanalysis AT dellatorreantonio biorecognitioninspectroscopybasedbiosensorsforheavymetalswaterandwaterbornecontaminationanalysis AT debenedettoangelantonio biorecognitioninspectroscopybasedbiosensorsforheavymetalswaterandwaterbornecontaminationanalysis AT rinaldirosaria biorecognitioninspectroscopybasedbiosensorsforheavymetalswaterandwaterbornecontaminationanalysis |