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• W4313443529 endingPage "340776" @default.
• W4313443529 startingPage "340776" @default.
• W4313443529 abstract "Histamine is a significant biomarker to assess the freshness of fish products. In this study, a novel MOF-based SERS sensor for histamine determination was synthesized by wrapping PVP-capped Au nanoflowers with a ZIF-67 shell (Au NFs@ZIF-67). The highly branched Au NFs core exhibited a strong electromagnetic field enhancement effect and provided an ultra-sensitive SERS fingerprint spectrum, while ZIF-67 shell was the contributor to enrich the target and stabilize the substrate. The morphology of the core-shell structures can be easily controlled by the concentrations of the capping agent PVP and MOF precursor Co ion. Consequently, 4-MBA pre-grafted on the optimized SERS substrate can act as the Raman internal standard (IS) to eliminate signal fluctuations through standardizing all spectra against its peak at 1074 cm-1. Moreover, as the specific receptor for histamine molecules, 4-MBA helped reach the low detection sensitivity, where the SERS intensity ratio, I1172/I1074 presented a good linear relationship towards the histamine concentrations (10-3-10-7 M) with the LOD of 0.87 × 10-7 M (R2 = 0.9930). Furthermore, the application in monitoring fish spoilage process demonstrated the feasibility and reliability of the developed sensor. This work provided a facile strategy to construct MOF-based SERS substrate as a potential platform for the shelf-life prediction of fish products." @default.
• W4313443529 created "2023-01-06" @default.
• W4313443529 creator A5002044407 @default.
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• W4313443529 date "2023-02-01" @default.
• W4313443529 modified "2023-09-26" @default.
• W4313443529 title "Controllable synthesis of flower-like AuNFs@ZIF-67 core-shell nanocomposites for ultrasensitive SERS detection of histamine in fish" @default.
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• W4313443529 doi "https://doi.org/10.1016/j.aca.2022.340776" @default.
• W4313443529 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36641156" @default.
• W4313443529 hasPublicationYear "2023" @default.
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