journal article·2023-09-06Open access

Food-Grade Physically Unclonable Functions

Abidin Esidir, Nilgun Kayaci, N. Burak Kiremitler, Mustafa Kalay, Furkan Sahin, Gulay Sezer, Murat Kaya, M. Serdar Onses

ACS Applied Materials & Interfaces· Volume 15· Issue 35

Abstract

Counterfeit products in the pharmaceutical and food industries have posed an overwhelmingly increasing threat to the health of individuals and societies. An effective approach to prevent counterfeiting is the attachment of security labels directly on drugs and food products. This approach requires the development of security labels composed of safely digestible materials. In this study, we present the fabrication of security labels entirely based on the use of food-grade materials. The key idea proposed in this study is the exploitation of food-grade corn starch (CS) as an encoding material based on the microscopic dimensions, particulate structure, and adsorbent characteristics. The strong adsorption of a food colorant, erythrosine B (ErB), onto CS results in fluorescent CS@ErB microparticles. Randomly positioned CS@ErB particles can be obtained simply by spin-coating from aqueous solutions of tuned concentrations followed by transfer to an edible gelatin film. The optical and fluorescence microscopy images of randomly positioned particles are then used to construct keys for a physically unclonable function (PUF)-based security label. The performance of PUFs evaluated by uniformity, uniqueness, and randomness analysis demonstrates the strong promise of this platform. The biocompatibility of the fabricated PUFs is confirmed with assays using murine fibroblast cells. The extremely low-cost and sustainable security primitives fabricated from off-the-shelf food materials offer new routes in the fight against counterfeiting.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Physical Unclonable Functions (PUFs) and Hardware Security · 3D Printing in Biomedical Research · Cell Image Analysis Techniques

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

ERNAM─Nanotechnology Research and Application Center, Erciyes University, Kayseri 38039, Turkey

Department of Materials Science and Engineering, Erciyes University, Kayseri 38039, Turkey

Department of Electricity and Energy, Kayseri University, Kayseri 38039, Turkey

Department of Biomedical Engineering, Faculty of Engineering and Architecture, Beykent University, İstanbul 34398, Turkey

Department of Pharmacology, Erciyes University, Faculty of Medicine, Kayseri 38039, Turkey

Department of Molecular Biology and Genetics, Faculty of Science and Letters, Istanbul Technical University, Istanbul 34469, Turkey

Funding

Türkiye Bilimsel ve Teknolojik Arastirma Kurumu

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