A bimetallic plasmonic nanoparticles-based approach for the untargeted evaluation of phenolic compounds (PC)-pattern and antioxidant capacity (AoC) is proposed. The rationale relies on the PC's ability to drive the formation of bimetallic silver/gold nanocolloidal 'probes' with different conformations. Ag/Au bimetallic nanostructures, according to the PCs' amount and class, return characteristic plasmonic and colorimetric tags. Plasmonic indexes are proposed to assess the dominant PC classes, while the colorimetric response, analyzed simply by a smartphone, is employed to obtain an AoC score, without calibration. The methods were tested with PCs belonging to different chemical classes, and challenged to classify different food samples. The proposed approach allows PC-dominant class identification and AoC-evaluation consistent with HPLC-MS/MS and conventional photometric assays.
Keywords: Antioxidant capacity; Colorimetric assay; Food samples; Nanocolloids; Plasmonic approach; Polyphenols clustering.
© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature.