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A polydiacetylene-based colorimetric sensor as an active use-by date indicator for milk.
Max Weston1, Rhiannon P Kuchel2, Mustafa Ciftci3
1School of Chemical Engineering and Australian Centre for Nanomedicine (ACN), The University of New South Wales (UNSW Sydney), Sydney, NSW 2052, Australia.
A new polydiacetylene/zinc oxide (PDA/ZnO) sensor detects milk freshness by monitoring pH changes. This colorimetric sensor offers real-time food spoilage indication, reducing waste and health risks.
Area of Science:
- Materials Science
- Food Science
- Analytical Chemistry
Background:
- Current food date labels are inadequate, contributing to significant food waste.
- Existing methods lack real-time monitoring of food spoilage indicators.
- Human health risks arise from consuming spoiled food due to unreliable shelf-life assessments.
Purpose of the Study:
- To develop a novel polydiacetylene/zinc oxide (PDA/ZnO) colorimetric sensor for real-time milk freshness detection.
- To engineer a sensor system capable of monitoring pH changes indicative of bacterial spoilage.
- To enhance sensor sensitivity and stability for practical food applications.
Main Methods:
- Fabrication of a PDA/ZnO nanocomposite sensor.
- Tuning sensor sensitivity by selecting diacetylene monomers and functional group relocation.
- Exploring lipid doping and pre-exposure stabilization techniques for the sensor.
- Utilizing lactic acid concentration and pH changes to trigger colorimetric responses.
Main Results:
- The PDA/ZnO sensor successfully indicates milk freshness through a blue to purple to red color change corresponding to pH shifts.
- Sensors constructed with 5,7-hexadecadiynoic acid (HDDA) and ZnO demonstrated clear discrimination between fresh, spoiling, and spoiled milk.
- A novel stabilization method involving pre-exposure to the food matrix improved the sensor's chromatic stability in food environments.
Conclusions:
- The developed PDA/ZnO sensor provides a reliable, real-time method for assessing milk freshness.
- This technology has the potential to significantly reduce food waste and enhance food safety.
- Further optimization of PDA/ZnO sensors could lead to broader applications in food quality monitoring.
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