EventsThe 2nd International Electronic Conference on Chemical Sensors and Analytical Chemistry
Published
This submission belongs to the session S2. Optical Chemical Sensors of the event The 2nd International Electronic Conference on Chemical Sensors and Analytical Chemistry
Published date
12 Oct, 2023
Academic Editor
author-avatarNicole Jaffrezic-Renault
Citation
Nedal Y. Abu-Thabit, Optical Colorimetric Paper Sensor for Monitoring Food Freshness, in Proceedings of The 2nd International Electronic Conference on Chemical Sensors and Analytical Chemistry, 16 September–30 September 2023, MDPI: Basel, Switzerland, doi: 10.3390/CSAC2023-14932
Share
Email
Facebook
Twitter
LinkedIn

Optical Colorimetric Paper Sensor for Monitoring Food Freshness

1. Department of Chemical and Process Engineering Technology, Jubail Industrial College, Jubail Industrial City 31961, Saudi Arabia
Abstract

The development of optical sensors for monitoring the food freshness during the storage and transportation helps to increase the food security and the customer satisfaction by preventing the misinterpretation of food-date labelling. In this study, a simple and low cost paper-based optical sensor was fabricated for visual detection of the food spoilage by naked eye. The filter paper was coated with the electrically conductive polyaniline ink. The pH-responsiveness of the coated polyaniline nanofibers allowed for the colorimetric detection of the shrimp spoilage through the transition from the doped green emeraldine acid form state to the dedoped blue emeraldine base state. The combination of the filter paper and the ink of polyaniline nanofibers represent a facile and quick method for the fabrication of colorimetric optical sensors for food freshness monitoring applications

Keywords
packaging
pH-sensor
filter paper
polyaniline
nanofiber
spoilage
shrimp
Manuscript
Precision meets affordability: A highly sensitive HPLC-FLD technique for accurate pitavastatin quantification in human plasma
Classification of teas using different feature extraction methods from signals of a lab-made electronic nose.