SSNet: A Spectral Unmixing Framework for Enhancing the Qualitative Sensitivity of SERS to Trace Targets in Complex Mixtures
1 Research Overview 01 Surface-enhanced Raman spectroscopy (SERS) is a powerful spectroscopic-structural correlation technique widely used in fields such as chemistry, biology, and environmental analysis. However, in complex systems, co-adsorption and competitive adsorption of non-target molecules often lead to signal overlap, limiting the accuracy of SERS in the qualitative and quantitative analysis of trace target … Read more