1. Smartphone based meat freshness detection
- Author
-
Isabel M. Perez de Vargas-Sansalvador, Fatima Mirza-Montoro, Miguel M. Erenas, Antonio Martínez-Olmos, Dermot Diamond, and Luis Fermín Capitán-Vallvey
- Subjects
Meat ,Chemistry ,Swine ,010401 analytical chemistry ,Real-time computing ,Food Packaging ,Bacterial population ,02 engineering and technology ,021001 nanoscience & nanotechnology ,Grey scale ,Loin ,01 natural sciences ,0104 chemical sciences ,Analytical Chemistry ,Colorimetric sensor ,Meat spoilage ,Pork meat ,RGB color model ,Animals ,Colorimetry ,Smartphone ,0210 nano-technology ,Food quality - Abstract
In this work, a freshness colorimetric sensor has been integrated with pork meat packages. The sensor tracks rising CO2 levels in the package associated with meat spoilage, as CO2 levels increase with bacterial population. The color of the sensor changes depending on the quantity of bacteria present, therefore it can be correlated with the freshness of meat, in this case pork loin. Detection is achieved by a simple photograph using a smartphone, and analyzing the grey scale from the RGB space color with a custom made app. Only 2 μL of the cocktail (all components are nontoxic) is needed to prepare the sensor, which have been integrated inside meat packages using a variety of support materials prior to sealing. The Smartphone measurements have been validated using a reference method (Checkpoint Analyzer) and the results suggest it can provide the basis for a quick test of the quality of the packaged pork.
- Published
- 2020