Robust quantitative analysis methods are very attractive but challenging with surface-enhanced Raman scattering (SERS) technique till now. Quantitative analysis methods using absolute Raman scattering intensities tend to desire very critical reproducibility of SERS substrates and consistency of testing conditions, as batch differences and inhomogeneity of SERS substrates as well as the fluctuation of measuring parameters placed challenging obstacles. Relative Raman scattering intensities, on the other hand, can release the adverse interferences mentioned above and provide effective and robust information as it is independent of the reproducibility of SERS substrates. By establishing external calibration working curves, we achieved accurate molecule composition prediction of molecules in multi-component systems. Further, by choosing or adding a label molecule with known concentration as Raman internal standards, the concentration of target molecules can be easily predicted. This approach proved the effectiveness and robustness of quantitative analysis with the relative Raman scattering intensities, even carried out with a flexible inhomogeneous SERS substrate.
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http://dx.doi.org/10.1016/j.talanta.2020.121465 | DOI Listing |
Int J Oral Sci
January 2025
School of Cyber Science and Engineering, Sichuan University, Chengdu, China.
The presence of a positive deep surgical margin in tongue squamous cell carcinoma (TSCC) significantly elevates the risk of local recurrence. Therefore, a prompt and precise intraoperative assessment of margin status is imperative to ensure thorough tumor resection. In this study, we integrate Raman imaging technology with an artificial intelligence (AI) generative model, proposing an innovative approach for intraoperative margin status diagnosis.
View Article and Find Full Text PDFBiochemistry (Mosc)
December 2024
Faculty of Chemistry, Lomonosov Moscow State University, Moscow, 119991, Russia.
Food safety is one of the primary demands of modern society. Mycotoxins are toxic metabolites of food-contaminating fungi. Fungi enter the food chain by infecting crops and irreversibly contaminate them due to the structural stability of mycotoxins.
View Article and Find Full Text PDFJ Colloid Interface Sci
January 2025
Institute of Health Sciences, China Medical University, Shenyang 110122, China. Electronic address:
A flexible cotton-based Ag/AgPO/MXene (APMX) ternary composite material was successfully synthesized, serving as a dual-function and reusable surface-enhanced Raman scattering (SERS) substrate for both sensitive detection and efficient organic dye degradation. The remarkable SERS properties of the composite can be attributed to the combined effects of electromagnetic enhancement by Ag nanoparticles (Ag NPs), charge transfer enhancement from AgPO, and the chemical enhancement mechanisms associated with MXene. When employed for the detection of crystal violet (CV), the material exhibits outstanding sensitivity, achieving a limit of detection (LOD) as low as 3.
View Article and Find Full Text PDFJ Hazard Mater
January 2025
State Key Laboratory of Chemistry and Utilization of Carbon Based Energy Resources; College of Chemistry, Xinjiang University, Urumqi, 830017, Xinjiang, PR China; School of Materials Science and Engineering, Xinjiang Engineering Research Center of Environmental and Functional Materials, Xinjiang University, Urumqi, 830017, Xinjiang, PR China. Electronic address:
Antibiotic residues pose a significant threat to global health. Traditional detection methods for antibiotics are cumbersome, time-consuming and often incapable of achieving non-destructive detection at low temperatures. This research introduces a groundbreaking innovation in antibiotic detection: a flexible Surface-Enhanced Raman Scattering substrate based on a silver composite deep eutectic solvent (DES) gel, specifically engineered for low-temperature antibiotic detection.
View Article and Find Full Text PDFAnal Chim Acta
February 2025
Engineering Research Center of Optical Instrument and System, Ministry of Education and Shanghai Key Lab of Modern Optical System, University of Shanghai for Science and Technology, No.516 Jungong Road, Shanghai, 200093, China.
Background: Surface-enhanced Raman scattering (SERS) has attracted much attention as a powerful detection and analysis tool with high sensitivity and fast detection speed. The intensity of the SERS signal mainly depended on the highly enhanced electromagnetic field of nanostructure near the substrate. However, the fabrication of high-quality SERS nanostructured substrates is usually complicated, makes many methods unsuitable for large-scale production of SERS substrates.
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