2026-04-17T10:25:37Zhttps://riubu.ubu.es/oai/request

oai:riubu.ubu.es:10259/108142025-08-29T07:54:13Zcom_10259.4_2520com_10259_5086com_10259_2604com_10259_4313col_10259_9393col_10259_6735col_10259_5684

Gaona Ruiz, María Torija López, Alba Trigo López, Miriam Arnáiz Alonso, Ana Sedano Labrador, Carlos Rodríguez Velasco, Ana Vallejo García, Jorge Lucas Carrillo Pérez, Celia Vallejos Calzada, Saúl 2025-08-25T12:22:25Z 2025-08-25T12:22:25Z 2025-08-25 María Gaona, Torija López, A., Trigo López, M., Arnaiz, A., Sedano Labrador, C., Rodríguez Velasco, A., Vallejo García, J. L., Carrillo, C., & Vallejos, S. (2025). Dataset of the work "UBU-Polymers Research Group 28032025"  [Data set]. Universidad de Burgos. https://doi.org/10.71486/wmk5-gy48 https://hdl.handle.net/10259/10814 10.71486/wmk5-gy48 Antioxidants are used as markers of the functional potential of foods, making their accurate quantification essential for assessing bioactivity and possible health benefits. A smart polymer incorporating 2,2-diphenyl-1-picrylhydrazyl (DPPH) motifs (FDPPH) was synthesized via bulk polymerization of N-vinylpyrrolidone, methyl methacrylate, and a diphenylamine-functionalized monomer, followed by solid-phase reactions to introduce the DPPH functionality. FTIR and thermal analysis confirmed successful synthesis. The FDPPH sensor showed a colorimetric response consistent with DPPH in solution, demonstrating its reliability. Twenty-three beet samples were analyzed using both the conventional DPPH assay and the FDPPH method, where polymer discs were immersed and colour changes recorded via smartphone. The hue (H) parameter in the HSV colour-space showed the highest correlation. Calibration using beet samples was more accurate than with Trolox. The optimal response time was 3 hours, with a LOD and LOQ of 0.063 and 0.191 mmol Trolox/L, respectively. eng http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess Atribución 4.0 Internacional Polyacrylic films Sensory polymers Beetroot Food industry Colorimetric detection Smartphone-based analysis Antioxidant capacity Food quality control Dataset of the work "UBU-Polymers Research Group 28032025"  dataset