CHA-driven SERS-nanoenzyme sensor for ultra-sensitive diagnosis of gastric precancerous lesions

Key Points

• This research aims to develop a sensitive sensor for the early detection of gastric precancerous lesions.
• Developed a SERS (Surface-Enhanced Raman Spectroscopy) nanoenzyme sensor driven by carbohydrate-based molecules.
• Tested the sensor for its sensitivity and specificity in detecting precancerous lesions.
• Conducted comparative analyses with existing diagnostic methods.
• The sensor showed ultra-sensitive detection of gastric precancerous lesions.
• It significantly outperformed traditional diagnostic methods in sensitivity.