Au-modified metal-organic framework photonic heterostructure as a SERS sensor for enrichment and detection of trace organic dyes and pesticides
Sensors and Actuators B: Chemical, ISSN: 0925-4005, Vol: 422, Page: 136684
2025
- 1Citations
- 7Captures
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Article Description
Surface enhanced Raman scattering (SERS) sensors with excellent sensitivity, stability and repeatability are essential for the ultrasensitive analysis of trace targets. In this study, a SERS sensor was developed using a photonic heterostructure composed of Au nanoparticles (AuNPs) & Zeolitic Imidazolate Framework-8 photonic crystals (ZIF-8 PCs). The sensor aims to enrich and detect organic dyes and pesticides, with enhanced detection capabilities achieved through adjustments in AuNPs content and the band-edge effects of ZIF-8 PCs. The sensor exhibited excellent performances in detecting 4-mercaptobenzoic acid. The detection limit was 1 × 10 –12 mol·L −1, with a relative standard deviation of 5.0 % and the enhancement factor of 1.439 × 10 11. Furthermore, the self-enrichment function of the sensor was verified through molecular dynamics simulations. This validation enabled the SERS sensor to be effectively utilized for the analysis of Rhodamine 6 G (R6G), methylene blue (MB), Thiabendazole (TBZ) and Parathion-methyl (PTM) without complex pretreatment. The detection limits achieved were 1 × 10 –12 for R6G and MB, and 1 × 10 –11 mol·L −1 for TBZ and PTM, respectively. This study presented an effective strategy for constructing high-performance SERS sensors, elucidated the mechanism of analyte enrichment and achieved the detection of samples in natural lake water, which offers a new option for on-site monitoring of contaminants with a portable Raman spectroscopy.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S092540052401414X; http://dx.doi.org/10.1016/j.snb.2024.136684; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85204532095&origin=inward; https://linkinghub.elsevier.com/retrieve/pii/S092540052401414X; https://dx.doi.org/10.1016/j.snb.2024.136684
Elsevier BV
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