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Self-Assembled Bifunctional Copper Hydroxide/Gold-Ordered Nanoarray Composites for Fast, Sensitive, and Recyclable SERS Detection of Hazardous Benzene Vapors

Volatile organic compounds (VOCs), particularly monoaromatic hydrocarbon compounds (MACHs), pose a potential risk to the atmospheric environment and human health. Therefore, the progressive development of efficient detection methodologies is a pertinent need, which is still a challenge at present. I...

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Autores principales: Lu, Yanyan, Yuan, Xuzhou, Jia, Cuiping, Lei, Biao, Zhang, Hongwen, Zhao, Zhipeng, Zhu, Shuyi, Zhao, Qian, Cai, Weiping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10343417/
https://www.ncbi.nlm.nih.gov/pubmed/37446532
http://dx.doi.org/10.3390/nano13132016
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author Lu, Yanyan
Yuan, Xuzhou
Jia, Cuiping
Lei, Biao
Zhang, Hongwen
Zhao, Zhipeng
Zhu, Shuyi
Zhao, Qian
Cai, Weiping
author_facet Lu, Yanyan
Yuan, Xuzhou
Jia, Cuiping
Lei, Biao
Zhang, Hongwen
Zhao, Zhipeng
Zhu, Shuyi
Zhao, Qian
Cai, Weiping
author_sort Lu, Yanyan
collection PubMed
description Volatile organic compounds (VOCs), particularly monoaromatic hydrocarbon compounds (MACHs), pose a potential risk to the atmospheric environment and human health. Therefore, the progressive development of efficient detection methodologies is a pertinent need, which is still a challenge at present. In this study, we present a rapid and sensitive method to detect trace amounts of MACHs using a bifunctional SERS composite substrate. We prepared an Au/SiO(2) enhanced layer and a porous Cu(OH)(2) adsorption layer via microfluidic-assisted gas-liquid interface self-assembly. The composite substrate effectively monitored changes in benzaldehyde using time-varying SERS spectra, and track-specifically identified various VOCs such as benzene, xylene, styrene, and nitrobenzene. In general, the substrate exhibited a rapid response time of 20 s to gaseous benzaldehyde, with a minimum detection concentration of less than 500 ppt. Further experimental assessments revealed an optimum Cu(OH)(2) thickness of the surrounding adsorption layer of 150 nm, which can achieve an efficient SERS response to MACHs. Furthermore, the recoverable and reusable property of the composite substrate highlights its practicality. This study presents a straightforward and efficient approach for detecting trace gaseous VOCs using SERS, with significant implications in the designing of SERS substrates for detecting other VOCs.
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spelling pubmed-103434172023-07-14 Self-Assembled Bifunctional Copper Hydroxide/Gold-Ordered Nanoarray Composites for Fast, Sensitive, and Recyclable SERS Detection of Hazardous Benzene Vapors Lu, Yanyan Yuan, Xuzhou Jia, Cuiping Lei, Biao Zhang, Hongwen Zhao, Zhipeng Zhu, Shuyi Zhao, Qian Cai, Weiping Nanomaterials (Basel) Article Volatile organic compounds (VOCs), particularly monoaromatic hydrocarbon compounds (MACHs), pose a potential risk to the atmospheric environment and human health. Therefore, the progressive development of efficient detection methodologies is a pertinent need, which is still a challenge at present. In this study, we present a rapid and sensitive method to detect trace amounts of MACHs using a bifunctional SERS composite substrate. We prepared an Au/SiO(2) enhanced layer and a porous Cu(OH)(2) adsorption layer via microfluidic-assisted gas-liquid interface self-assembly. The composite substrate effectively monitored changes in benzaldehyde using time-varying SERS spectra, and track-specifically identified various VOCs such as benzene, xylene, styrene, and nitrobenzene. In general, the substrate exhibited a rapid response time of 20 s to gaseous benzaldehyde, with a minimum detection concentration of less than 500 ppt. Further experimental assessments revealed an optimum Cu(OH)(2) thickness of the surrounding adsorption layer of 150 nm, which can achieve an efficient SERS response to MACHs. Furthermore, the recoverable and reusable property of the composite substrate highlights its practicality. This study presents a straightforward and efficient approach for detecting trace gaseous VOCs using SERS, with significant implications in the designing of SERS substrates for detecting other VOCs. MDPI 2023-07-06 /pmc/articles/PMC10343417/ /pubmed/37446532 http://dx.doi.org/10.3390/nano13132016 Text en © 2023 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 Article
Lu, Yanyan
Yuan, Xuzhou
Jia, Cuiping
Lei, Biao
Zhang, Hongwen
Zhao, Zhipeng
Zhu, Shuyi
Zhao, Qian
Cai, Weiping
Self-Assembled Bifunctional Copper Hydroxide/Gold-Ordered Nanoarray Composites for Fast, Sensitive, and Recyclable SERS Detection of Hazardous Benzene Vapors
title Self-Assembled Bifunctional Copper Hydroxide/Gold-Ordered Nanoarray Composites for Fast, Sensitive, and Recyclable SERS Detection of Hazardous Benzene Vapors
title_full Self-Assembled Bifunctional Copper Hydroxide/Gold-Ordered Nanoarray Composites for Fast, Sensitive, and Recyclable SERS Detection of Hazardous Benzene Vapors
title_fullStr Self-Assembled Bifunctional Copper Hydroxide/Gold-Ordered Nanoarray Composites for Fast, Sensitive, and Recyclable SERS Detection of Hazardous Benzene Vapors
title_full_unstemmed Self-Assembled Bifunctional Copper Hydroxide/Gold-Ordered Nanoarray Composites for Fast, Sensitive, and Recyclable SERS Detection of Hazardous Benzene Vapors
title_short Self-Assembled Bifunctional Copper Hydroxide/Gold-Ordered Nanoarray Composites for Fast, Sensitive, and Recyclable SERS Detection of Hazardous Benzene Vapors
title_sort self-assembled bifunctional copper hydroxide/gold-ordered nanoarray composites for fast, sensitive, and recyclable sers detection of hazardous benzene vapors
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10343417/
https://www.ncbi.nlm.nih.gov/pubmed/37446532
http://dx.doi.org/10.3390/nano13132016
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