Systematic optimization of aptamer self-assembly on graphene transistor gates for rapid detection of chloramphenicol residues in milk

Key Points

• Chloramphenicol detection achieved with optimized self-assembly protocols on graphene surfaces, enhancing sensitivity.
• Key metrics showed detection limits significantly decrease, improving food safety measures for dairy products.
• Assessment involved systematic optimization of aptamer self-assembly on graphene transistor gates for effective sensing.
• Findings suggest that this method may enhance rapid residue analysis in food products, promoting consumer safety.