2026-04-18T07:03:46Zhttps://recercat.cat/oai/request

oai:recercat.cat:2445/1183632025-11-19T10:41:09Zcom_2072_1057col_2072_478815col_2072_478821col_2072_478917

00925njm 22002777a 4500 dc Carnicer González, Arturo author Arteaga Barriel, Oriol author Suñé i Negre, Josep M. (Josep Maria) author Javidi, Bahram author 2017-12-01T08:51:56Z 2017-12-01T08:51:56Z 2016-09-26 2017-12-01T08:51:57Z The counterfeiting of pharmaceutical products represents concerns for both industry and the safety of the general public. Falsification produces losses to companies and poses health risks for patients. In order to detect fake pharmaceutical tablets, we propose producing film-coated tablets with gold nanoparticle encoding. These coated tablets contain unique polarimetric signatures. We present experiments to show that ellipsometric optical techniques, in combination with machine learning algorithms, can be used to distinguish genuine and fake samples. To the best of our knowledge, this is the first report using gold nanoparticles encoded with optical polarimetric classifiers to prevent the counterfeiting of pharmaceutical products. Comprimits (Medicina) Reconeixement òptic de formes Nanopartícules Or Tablets (Medicine) Optical pattern recognition Nanoparticles Gold Authentication of gold nanoparticle encoded pharmaceutical tablets using polarimetric signatures