Bio-Recognition in Spectroscopy-Based Biosensors for <i>*Heavy Metals</i>-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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-07-01
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| Series: | Biosensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-6374/9/3/96 |
| _version_ | 1819278378650304512 |
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| author | Alessandra Aloisi Antonio Della Torre Angelantonio De Benedetto Rosaria Rinaldi |
| author_facet | Alessandra Aloisi Antonio Della Torre Angelantonio De Benedetto Rosaria Rinaldi |
| author_sort | Alessandra Aloisi |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-24T00:11:04Z |
| format | Article |
| id | doaj.art-14faca87fd5f417a88bb6ce53807997f |
| institution | Directory Open Access Journal |
| issn | 2079-6374 |
| language | English |
| last_indexed | 2024-12-24T00:11:04Z |
| publishDate | 2019-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Biosensors |
| spelling | doaj.art-14faca87fd5f417a88bb6ce53807997f2022-12-21T17:24:52ZengMDPI AGBiosensors2079-63742019-07-01939610.3390/bios9030096bios9030096Bio-Recognition in Spectroscopy-Based Biosensors for <i>*Heavy Metals</i>-Water and Waterborne Contamination AnalysisAlessandra Aloisi0Antonio Della Torre1Angelantonio De Benedetto2Rosaria Rinaldi3Institute for Microelectronics and Microsystems (IMM), CNR, Via Monteroni, 73100 Lecce, ItalyInstitute for Microelectronics and Microsystems (IMM), CNR, Via Monteroni, 73100 Lecce, ItalyMathematics and Physics “E. De Giorgi” Department, University of Salento, Via Monteroni, 73100 Lecce, ItalyInstitute for Microelectronics and Microsystems (IMM), CNR, Via Monteroni, 73100 Lecce, ItalyMicrosystems 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.https://www.mdpi.com/2079-6374/9/3/96water pollutionenvironmental waterdrinking watermilkheavy metal ionsbiosensordetection limitsoptical spectroscopyproteinsfunctional nucleic acids |
| spellingShingle | Alessandra Aloisi Antonio Della Torre Angelantonio De Benedetto Rosaria Rinaldi Bio-Recognition in Spectroscopy-Based Biosensors for <i>*Heavy Metals</i>-Water and Waterborne Contamination Analysis Biosensors water pollution environmental water drinking water milk heavy metal ions biosensor detection limits optical spectroscopy proteins functional nucleic acids |
| title | Bio-Recognition in Spectroscopy-Based Biosensors for <i>*Heavy Metals</i>-Water and Waterborne Contamination Analysis |
| title_full | Bio-Recognition in Spectroscopy-Based Biosensors for <i>*Heavy Metals</i>-Water and Waterborne Contamination Analysis |
| title_fullStr | Bio-Recognition in Spectroscopy-Based Biosensors for <i>*Heavy Metals</i>-Water and Waterborne Contamination Analysis |
| title_full_unstemmed | Bio-Recognition in Spectroscopy-Based Biosensors for <i>*Heavy Metals</i>-Water and Waterborne Contamination Analysis |
| title_short | Bio-Recognition in Spectroscopy-Based Biosensors for <i>*Heavy Metals</i>-Water and Waterborne Contamination Analysis |
| title_sort | bio recognition in spectroscopy based biosensors for i heavy metals i water and waterborne contamination analysis |
| topic | water pollution environmental water drinking water milk heavy metal ions biosensor detection limits optical spectroscopy proteins functional nucleic acids |
| url | https://www.mdpi.com/2079-6374/9/3/96 |
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