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Robust Remote Sensing of Trace‐Level Heavy‐Metal Contaminants in Water Using Laser Filaments
Water is the major natural resource that enables life on our planet. Rapid detection of water pollution that occurs due to both human activity and natural cataclysms is imperative for environmental protection. Analytical chemistry–based techniques are generally not suitable for rapid monitoring beca...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6383966/ https://www.ncbi.nlm.nih.gov/pubmed/31565357 http://dx.doi.org/10.1002/gch2.201800070 |
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author | Li, Helong Zang, Hongwei Xu, Huailiang Sun, Hong‐Bo Baltuška, Andrius Polynkin, Pavel |
author_facet | Li, Helong Zang, Hongwei Xu, Huailiang Sun, Hong‐Bo Baltuška, Andrius Polynkin, Pavel |
author_sort | Li, Helong |
collection | PubMed |
description | Water is the major natural resource that enables life on our planet. Rapid detection of water pollution that occurs due to both human activity and natural cataclysms is imperative for environmental protection. Analytical chemistry–based techniques are generally not suitable for rapid monitoring because they involve collection of water samples and analysis in a laboratory. Laser‐based approaches such as laser‐induced breakdown spectroscopy (LIBS) may offer a powerful alternative, yet conventional LIBS relies on the use of tightly focused laser beams, requiring a stable air–water interface in a controlled environment. Reported here is a proof‐of‐principle, quantitative, simultaneous measurement of several representative heavy‐metal contaminants in water, at ppm‐level concentrations, using ultraintense femtosecond laser pulses propagating in air in the filamentation regime. This approach is straightforwardly extendable to kilometer‐scale standoff distances, under adverse atmospheric conditions and is insensitive to the movements of the water surface due to the topography and water waves. |
format | Online Article Text |
id | pubmed-6383966 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-63839662019-09-27 Robust Remote Sensing of Trace‐Level Heavy‐Metal Contaminants in Water Using Laser Filaments Li, Helong Zang, Hongwei Xu, Huailiang Sun, Hong‐Bo Baltuška, Andrius Polynkin, Pavel Glob Chall Communications Water is the major natural resource that enables life on our planet. Rapid detection of water pollution that occurs due to both human activity and natural cataclysms is imperative for environmental protection. Analytical chemistry–based techniques are generally not suitable for rapid monitoring because they involve collection of water samples and analysis in a laboratory. Laser‐based approaches such as laser‐induced breakdown spectroscopy (LIBS) may offer a powerful alternative, yet conventional LIBS relies on the use of tightly focused laser beams, requiring a stable air–water interface in a controlled environment. Reported here is a proof‐of‐principle, quantitative, simultaneous measurement of several representative heavy‐metal contaminants in water, at ppm‐level concentrations, using ultraintense femtosecond laser pulses propagating in air in the filamentation regime. This approach is straightforwardly extendable to kilometer‐scale standoff distances, under adverse atmospheric conditions and is insensitive to the movements of the water surface due to the topography and water waves. John Wiley and Sons Inc. 2018-10-29 /pmc/articles/PMC6383966/ /pubmed/31565357 http://dx.doi.org/10.1002/gch2.201800070 Text en © 2018 The Authors. Published by WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Communications Li, Helong Zang, Hongwei Xu, Huailiang Sun, Hong‐Bo Baltuška, Andrius Polynkin, Pavel Robust Remote Sensing of Trace‐Level Heavy‐Metal Contaminants in Water Using Laser Filaments |
title | Robust Remote Sensing of Trace‐Level Heavy‐Metal Contaminants in Water Using Laser Filaments |
title_full | Robust Remote Sensing of Trace‐Level Heavy‐Metal Contaminants in Water Using Laser Filaments |
title_fullStr | Robust Remote Sensing of Trace‐Level Heavy‐Metal Contaminants in Water Using Laser Filaments |
title_full_unstemmed | Robust Remote Sensing of Trace‐Level Heavy‐Metal Contaminants in Water Using Laser Filaments |
title_short | Robust Remote Sensing of Trace‐Level Heavy‐Metal Contaminants in Water Using Laser Filaments |
title_sort | robust remote sensing of trace‐level heavy‐metal contaminants in water using laser filaments |
topic | Communications |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6383966/ https://www.ncbi.nlm.nih.gov/pubmed/31565357 http://dx.doi.org/10.1002/gch2.201800070 |
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