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Development of an Electrochemical DNA Biosensor to Detect a Foodborne Pathogen
Published on: June 3, 2018
Target-inhibited MCOF-Apt@Ag self-assembly for multi-modal biosensor for detecting Vibrioparahaemolyticus
Jingyi Xiao1, Tongtong Li1, Jianing Sun1
1College of Food Science and Technology, Bohai University. National & Local Joint Engineering Research Center of Storage, Processing and Safety Control Technology for Fresh Agricultural and Aquatic Products. Food Safety Key Lab of Liaoning Province. Institute of Ocean Research. the Fresh Food Storage and Processing Technology Research Institute of Liaoning Provincial Universities., Jinzhou, Liaoning, 121013, China.
This study developed a multi-modal biosensor using aptamer-modified silver nanozymes and magnetic covalent organic frameworks for detecting Vibrio parahaemolyticus. The novel sensor offers sensitive and accurate detection through colorimetric, fluorescence, and SERS methods.
Area of Science:
- * Analytical Chemistry
- * Biotechnology
- * Materials Science
Background:
- * Vibrio parahaemolyticus is a significant foodborne pathogen requiring sensitive detection methods.
- * Existing detection techniques often lack the sensitivity, specificity, or speed needed for rapid screening.
- * Multi-modal biosensors offer enhanced reliability and accuracy through complementary detection principles.
Purpose of the Study:
- * To develop a novel multi-modal biosensor for the sensitive and accurate detection of Vibrio parahaemolyticus.
- * To integrate colorimetric, fluorescence, and Surface-Enhanced Raman Spectroscopy (SERS) detection modes into a single platform.
- * To utilize aptamer-modified silver nanozymes and magnetic covalent organic frameworks for enhanced sensing performance.
Main Methods:
- * Fabrication of aptamer-modified silver nanozymes (Ag@Apt) and magnetic covalent organic frameworks (MCOF).
- * Development of a catalytic system where MCOF-Apt@Ag oxidizes TPE-4A, with activity suppressed by V. parahaemolyticus.
- * Integration of colorimetric, fluorescence, and SERS detection strategies based on the interaction with V. parahaemolyticus.
Main Results:
- * The biosensor demonstrated distinct colorimetric and fluorescence changes upon V. parahaemolyticus detection.
- * SERS signals were enhanced with increasing concentrations of V. parahaemolyticus.
- * Achieved low detection limits: 1.50 CFU/mL (colorimetric), 1.02 CFU/mL (fluorescence), and 0.97 CFU/mL (SERS).
Conclusions:
- * The developed multi-modal biosensor provides a robust platform for sensitive and accurate V. parahaemolyticus detection.
- * The combination of multiple detection modes enhances reliability and broadens the quantitative capabilities.
- * This approach offers a promising tool for food safety monitoring and pathogen surveillance.
