Vacuum packaging sensor based on time-resolved phosphorescence spectroscopy

Heydari, E., Yari, F. and Zare-Behtash, H. (2024) Vacuum packaging sensor based on time-resolved phosphorescence spectroscopy. Photonic Sensors, 14(1), 240120. (doi: 10.1007/s13320-023-0692-y)

Abstract

Intelligent food packaging with the multisensory analysis is promising as the next generation technology of food packaging. The oxygen content in food packaging is one of the crucial parameters affecting the food quality and shelf life. Caviar is among the most nutritious and costly food sources. Here, a photonic oxygen-sensing system, based on the time-resolved phosphorescence spectroscopy of a platinum complex, is developed for non-contact, non-intrusive, and real-time vacuum packaging quality control, and implemented for caviar packaging. The sensor is embedded in protective polyethylene layers and excited with a short-pulsed light emitting diode (LED) source. Integration of a blue pulsed light source, a fast and amplified silicon photodiode controlled by the Spartan-6 field programmable gate array (FPGA), and a long lifetime platinum complex results in a photonics-based oxygen sensor with a fast response and high sensitivity to the vacuum packaging damage, which is suitable for caviar. It is revealed that applying the polyethylene layers protects the caviar from the platinum complex, leaching while not interfering with the sensor functionality. Characterizing the photonic system based on its sensitivity, repeatability, stability, and long-term operation demonstrates its capability for this application.

• Item Type: Articles (Editorial)
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Zare-Behtash, Dr Hossein and Heydari, Dr Esmaeil
• Authors: Heydari, E., Yari, F., and Zare-Behtash, H.
• Subjects: Q Science > Q Science (General); Q Science > QC Physics; Q Science > QD Chemistry
• College/School: College of Science and Engineering > School of Engineering; College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity
• Journal Name: Photonic Sensors
• Publisher: Springer
• ISSN: 1674-9251
• ISSN (Online): 2190-7439
• Published Online: 30 November 2023
• Copyright Holders: Copyright © 2023 The Authors
• First Published: First published in Photonic Sensors 14(1):240120
• Publisher Policy: Reproduced under a Creative Commons licence