Highly Sensitive, Printable Nanostructured Conductive Polymer Wireless Sensor for Food Spoilage Detection

Area of Science:

• Materials Science
• Sensor Technology
• Food Science

Background:

• Near-field communication (NFC) labeling is emerging for smartphone-based environmental and health monitoring.
• Developing sensitive gas sensors for NFC tags to detect food spoilage, particularly biogenic amines, remains a significant challenge.

Purpose of the Study:

• To develop a highly sensitive gas sensor for NFC tags to enable smartphone-based detection of meat spoilage.
• To integrate a nanostructured conductive polymer sensor as a sensitive switch within an NFC tag circuit.

Main Methods:

• Fabrication of a nanostructured conductive polymer-based gas sensor.
• Testing sensor sensitivity to ammonia (NH3), putrescine, and cadaverine at specific concentrations.
• Integration of the sensor as a switch in an NFC tag for smartphone readout.

Main Results:

• The gas sensor exhibited high sensitivity (ΔR/R0 = 225%) to 5 ppm ammonia.
• Unprecedented sensitivities were achieved for 5 ppm putrescine (46%) and cadaverine (17%).
• The sensor successfully enabled smartphone readout of meat spoilage based on biogenic amine concentration thresholds.

Conclusions:

• A novel nanostructured conductive polymer gas sensor can serve as a sensitive switch for NFC tags.
• This technology facilitates smartphone-based monitoring of food spoilage, enhancing food safety.
• The intelligent sensing approach has broad potential for food status monitoring in various applications.