Rapid antibiotic biosensors based on multiple molecular recognition elements

Area of Science:

• Analytical Chemistry
• Biosensor Technology
• Food Safety

Background:

• Antibiotic overuse causes drug resistance and environmental pollution, necessitating advanced detection methods.
• Existing reviews often categorize antibiotics or sensor types (electrochemical, optical, colorimetric).
• A systematic approach to antibiotic detection using molecular recognition elements is lacking.

Purpose of the Study:

• To propose a novel theoretical framework for antibiotic detection using sensors.
• To analyze seven key molecular recognition elements and their direct recognition modalities.
• To evaluate biosensors based on these elements for sensitivity, specificity, and practicality.

Main Methods:

• Systematic review of molecular recognition elements for antibiotic sensing.
• Analysis of biosensor mechanisms, strengths, and limitations.
• Exploration of direct recognition modalities in antibiotic detection.

Main Results:

• Detailed discussion of antibodies, aptamers, microorganisms, cells, peptides, MIPs, and MOFs as recognition elements.
• Evaluation of sensor performance metrics including sensitivity and specificity.
• Identification of practical challenges and limitations in current methods.

Conclusions:

• The proposed framework offers a comprehensive perspective on antibiotic detection.
• Addressing current challenges is vital for improving food safety and public health.
• Future research should focus on enhancing sensitivity, specificity, and practicality of antibiotic sensors.