Sustainable time-temperature integrator for perishable fresh foods based on polymer/graphene blends
Mattia Bosi a, Matteo Sensi b, Alessandro Paradisi b, Marcello Berto b, Eugenia Badeski c, Emmanouil Flemetakis d, Pierpaolo Greco e f, Carlo Augusto Bortolotti b, Theofania Tsironi c, Fabio Biscarini b f
a Department of Physics, Informatics and Mathematics, Università degli Studi di Modena e Reggio Emilia
b Department of Life Sciences, Università degli Studi di Modena e Reggio Emilia, Modena
c Department of Food Science and Human Nutrition, Agricultural University of Athens, Athens
d Department of Biotechnology, Agricultural University of Athens, Athens
e Department of Neuroscience and Rehabilitation, Università di Ferrara, Ferrara
f Center for Translational Neurophysiology of Speech and Communication, Istituto Italiano di Tecnologia (IIT-CTNSC)
Proceedings of MATSUS Fall 2026 Conference (MATSUSFall26)
D4 Iontronics
Palma, Spain, 2026 October 26th - 30th
Organizers: Roberto Fenollosa Esteve and Francesco Rossella
Oral, Mattia Bosi, presentation 457
Publication date: 22nd July 2026

Monitoring the thermal history of perishable food products along the cold chain is critical to guarantee quality and safety for consumers. Time-temperature integrators (TTIs) offer solutions to guarantee cold chain efficiency, improve safety, and reduce food waste. Here, we present a sustainable TTI device based on the irreversible dehydration of a hydrogel, made of reduced graphene oxide and PEDOT:PSS, when exposed to varying environmental conditions. Dehydration kinetics of the hydrogel are investigated over a range of temperatures and relative humidity relevant to food-storage applications. The TTI response is quantified by the mass loss evolution which is interpreted by means of a kinetic model leveraging the initial hydrogel mass, the temperature and the relative humidity. The Arrhenius-like energy barrier is greater than the water binding enthalpy within the hydrogel, and the dehydration rate of the TTI device is finely tuned through the initial mass to mimic the microbial growth curve on fresh sea bream fillet. Deviations of the TTI from its evolution upon optimum conditions reveal the occurrence of a breach in the cold chain. We demonstrate that it is possible to translate the TTI assessment on a smartphone by imaging the evolution of shrinking of the projected area.

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