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Food-Grade Physically Unclonable Functions.

ACS APPLIED MATERIALS & INTERFACES(2023)

Erciyes Univ | Istanbul Tech Univ

Cited 9|Views14
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.
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Key words
physically unclonable function (PUF),corn starch,edible,fluorescence,encoding
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要点】:本研究提出了一种基于食品级材料的安全标签制作方法,使用食品级玉米淀粉和食品染料制造出具有独特编码的不可克隆功能标签,以对抗食品和药品行业的假冒伪劣产品。

方法】:研究利用玉米淀粉的微观尺寸、颗粒结构和吸附特性,通过吸附食品染料赤藓红B形成荧光淀粉@赤藓红B微颗粒,并通过旋涂法在可食用明胶膜上形成随机分布的颗粒,这些颗粒的显微和荧光图像用于构建物理不可克隆功能(PUF)密钥。

实验】:实验通过评估PUF的一致性、唯一性和随机性来验证性能,并通过小鼠成纤维细胞实验确认了所制PUF的生物相容性。所使用的数据集为实验中产生的光学和荧光显微图像。结果显示,该安全标签平台具有很好的应用前景。