In-situ SERS detection of aromatic amine pollutants in fire-fighting wastewater using low-cost flexible substrates

Fabrication of AuNPs@PDMS through the organic-water interface self-assembly method, which can be used for SERS detection of polluted water. [Display omitted] •A low-cost and flexible SERS substrate was fabricated for detection of aromatic amine pollutants in wastewater.•Finite time domain-difference...

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Veröffentlicht in:Microchemical journal 2022-12, Vol.183, p.108139, Article 108139
Hauptverfasser: Yuan, Yan-Hua, Gu, Hai-Xin, Xie, Qi-Yuan, Zhang, Jun
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Sprache:eng
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Zusammenfassung:Fabrication of AuNPs@PDMS through the organic-water interface self-assembly method, which can be used for SERS detection of polluted water. [Display omitted] •A low-cost and flexible SERS substrate was fabricated for detection of aromatic amine pollutants in wastewater.•Finite time domain-difference calculations confirmed that the uniformly distributed NP gap.•The AuNPs@PDMS substrate performed satisfactorily in testing for rhodamine 6G with LOD of 5.5 × 10−10 M.•The Au@PDMS substrate could be applied in rapid SERS analysis of mixtures in wastewater after fire suppression. Surface-enhanced Raman scattering (SERS) technology has been widely used in the field of environmental pollutant detection due to its fast and intuitive characteristics and low water interference. Herein, a low-cost and flexible SERS substrate was fabricated by transferring gold nanoparticles (NPs) onto polydimethylsiloxane (AuNPs@PDMS) membranes, which enabled highly sensitive detection of aromatic amine pollutants in wastewater after fire suppression. Finite time domain-difference calculations confirmed that the uniformly distributed NP gap significantly enhanced the localized electromagnetic field. The AuNPs@PDMS substrate performed satisfactorily in testing for rhodamine 6G (R6G) with a detection limit (LOD) of 5.5 × 10−10 M. This substrate also demonstrated high reproducibility for detection of different concentrations of R6G and the relative standard deviation (RSD) was
ISSN:0026-265X
DOI:10.1016/j.microc.2022.108139