A visualization-enhanced electrochemical sensing system with mobile data transmission for rapid
Ni Wu1, Xiaojun Wang2, Run Xu3
1College of Science, Beijing Forestry University, Beijing 100083, China; Beijing Key Laboratory of Forest Food Processing and Safety, Beijing 100083, China; College of Biological Sciences and Biotechnology, Beijing Forestry University, Beijing 100083, China; Hohhot Xin Cheng Sub-Branch, Bank of China Inner Mongolia Branch, Inner Mongolia, China.
A new portable sensor detects 3-monochloropropane-1,2-diol (3-MCPD) in food using molecularly imprinted polymers. This smartphone-integrated device offers rapid, real-time analysis for enhanced food safety monitoring.
Area of Science:
- Analytical Chemistry
- Food Science
- Materials Science
Background:
- 3-monochloropropane-1,2-diol (3-MCPD) contamination in food poses a global health risk.
- Accurate and rapid detection methods are crucial for food safety.
- Existing methods can be time-consuming and require specialized equipment.
Purpose of the Study:
- To develop a portable molecularly imprinted electrochemical sensor (MIECS) for real-time 3-MCPD detection.
- To integrate the sensor with a smartphone application for data visualization and analysis.
- To provide a cost-effective and selective tool for food safety monitoring.
Main Methods:
- Fabrication of a chitosan-based MIECS using molecularly imprinted polymers (MIPs) and carbon dots (CDs).
- Optimization of sensor synthesis parameters including chitosan concentration, template-to-monomer ratio, glutaraldehyde concentration, and deposition time.
- Validation of sensor performance in real food samples (drinking water, soy sauce) using electrochemical analysis via a Bluetooth-enabled smartphone application.
Main Results:
- The MIECS achieved a linear detection range of 1.00 × 10-7-1.00 × 10-3 mol/L for 3-MCPD.
- A low detection limit of 1.8 × 10-8 mol/L was obtained.
- Recovery rates in food samples ranged from 80.63% to 127.00%, indicating good accuracy.
- The sensor demonstrated high selectivity and stability.
Conclusions:
- The developed portable MIECS offers a promising solution for rapid and intelligent 3-MCPD detection in food.
- Integration with a smartphone application enhances usability and data accessibility for food safety professionals.
- The sensor's selectivity, stability, and cost-effectiveness make it suitable for widespread food safety monitoring applications.
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