Ultrasensitive, Rapid, and Incubation-Free Surface-Enhanced Raman Scattering Detection of Sulfasalazine with a GF@PDDA-Ag/rGO Functionalized Membrane and Machine Learning

Key Points

• To develop a rapid and efficient detection method for sulfasalazine using surface-enhanced Raman scattering and machine learning.
• Utilized a functionalized membrane GF@PDDA-Ag/rGO for detection.
• Employed surface-enhanced Raman scattering techniques for sensitivity.
• Implemented machine learning algorithms to analyze detection data.
• Achieved an ultrasensitive detection value of 0.9852 for sulfasalazine.
• Demonstrated potential for on-site monitoring of antibiotic pollutants.
• Proven effective for environmental and food sample analysis.

Abstract