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Multifold Enhanced Raman Detection of Organic Molecules as Environmental Water Pollutants

Organic molecules, including the benzene series, have been identified as pollutants in environmental water. Due to their very low solubility, they have very small concentrations in water, and they are difficult to be detected by conventional techniques. In particular, there is a lack of real-time, a...

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Detalles Bibliográficos
Autores principales: Mu, Yunyun, Liu, Miao, Li, Jiajun, Zhang, Xinping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9855845/
https://www.ncbi.nlm.nih.gov/pubmed/36671838
http://dx.doi.org/10.3390/bios13010004
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author Mu, Yunyun
Liu, Miao
Li, Jiajun
Zhang, Xinping
author_facet Mu, Yunyun
Liu, Miao
Li, Jiajun
Zhang, Xinping
author_sort Mu, Yunyun
collection PubMed
description Organic molecules, including the benzene series, have been identified as pollutants in environmental water. Due to their very low solubility, they have very small concentrations in water, and they are difficult to be detected by conventional techniques. In particular, there is a lack of real-time, accurate, and rapid detection methods for such molecules in water. However, they are detrimental to human health in many aspects. Toluene has been an important indicator of such environmental pollution detections. In this work, we propose a 3D SERS scheme consisting of a hollow fiber that is coated on the inner wall with densely arranged silver nanoparticles, which supplies multifold Raman enhancement by the plasmonic microcavity. Strong confinement of excitation laser energy and strongly enhanced Raman signals with the bidirectional collection are utilized to achieve high-sensitivity detection of toluene molecules in water. Raman signal with a reasonable signal-to-noise ratio has been measured for a concentration of 0.53 mg/L, indicating a detection limit even lower than this value for such a Raman spectroscopic technique. The corresponding enhancement factor is higher than 6 × 10(3) with respect to the available systems. Thus, this device not only enables direct trace detection and real-time monitoring of the water-polluting status by organic molecules but also supplies a practical approach for biological sensing.
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spelling pubmed-98558452023-01-21 Multifold Enhanced Raman Detection of Organic Molecules as Environmental Water Pollutants Mu, Yunyun Liu, Miao Li, Jiajun Zhang, Xinping Biosensors (Basel) Communication Organic molecules, including the benzene series, have been identified as pollutants in environmental water. Due to their very low solubility, they have very small concentrations in water, and they are difficult to be detected by conventional techniques. In particular, there is a lack of real-time, accurate, and rapid detection methods for such molecules in water. However, they are detrimental to human health in many aspects. Toluene has been an important indicator of such environmental pollution detections. In this work, we propose a 3D SERS scheme consisting of a hollow fiber that is coated on the inner wall with densely arranged silver nanoparticles, which supplies multifold Raman enhancement by the plasmonic microcavity. Strong confinement of excitation laser energy and strongly enhanced Raman signals with the bidirectional collection are utilized to achieve high-sensitivity detection of toluene molecules in water. Raman signal with a reasonable signal-to-noise ratio has been measured for a concentration of 0.53 mg/L, indicating a detection limit even lower than this value for such a Raman spectroscopic technique. The corresponding enhancement factor is higher than 6 × 10(3) with respect to the available systems. Thus, this device not only enables direct trace detection and real-time monitoring of the water-polluting status by organic molecules but also supplies a practical approach for biological sensing. MDPI 2022-12-21 /pmc/articles/PMC9855845/ /pubmed/36671838 http://dx.doi.org/10.3390/bios13010004 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Communication
Mu, Yunyun
Liu, Miao
Li, Jiajun
Zhang, Xinping
Multifold Enhanced Raman Detection of Organic Molecules as Environmental Water Pollutants
title Multifold Enhanced Raman Detection of Organic Molecules as Environmental Water Pollutants
title_full Multifold Enhanced Raman Detection of Organic Molecules as Environmental Water Pollutants
title_fullStr Multifold Enhanced Raman Detection of Organic Molecules as Environmental Water Pollutants
title_full_unstemmed Multifold Enhanced Raman Detection of Organic Molecules as Environmental Water Pollutants
title_short Multifold Enhanced Raman Detection of Organic Molecules as Environmental Water Pollutants
title_sort multifold enhanced raman detection of organic molecules as environmental water pollutants
topic Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9855845/
https://www.ncbi.nlm.nih.gov/pubmed/36671838
http://dx.doi.org/10.3390/bios13010004
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