Innovative functionalization of metallic orthodontic brackets using green synthesized silver nanoparticles - Supplementary Data

This dataset provides the supplementary information supporting a study on ultrasound-assisted extraction (UAE) of bioactive compounds from blueberry (Vaccinium corymbosum) fruit powder, optimized using a Taguchi L9(3³) orthogonal array design. It details the reagents, brackets, and analytical methods used, along with the complete experimental dataset and statistical outcomes. Extraction efficiency was evaluated across three ultrasonic power levels (40%, 70%, 100%), three solvent systems (distilled water, 1% acidified ethanol, and 70% ethanol), and three solid-to-liquid ratios (1:10, 1:20, 1:30 w/v). Total soluble phenols were quantified via the Folin–Ciocalteu method (mg GAE/g), total flavonoids via the aluminum chloride assay (mg CE/g), and antioxidant capacity via DPPH, ABTS, and FRAP assays (mmol TE/g), all measured spectrophotometrically in microplates using high-precision calibration curves. Results show that solvent type had the strongest influence on recovery, with 70% ethanol consistently outperforming water and acidified ethanol due to its balanced polarity. Treatment 9 (100% power, 70% ethanol, 1:20 w/v) achieved the highest phenolic (250.44 ± 1.09 mg GAE/g) and flavonoid (30.96 ± 0.86 mg CE/g) yields. Increasing power generally enhanced recovery through acoustic cavitation, though peak antioxidant activity (DPPH 52.27 ± 0.57, ABTS 42.68 ± 0.32, FRAP 47.76 ± 1.82 mmol TE/g) did not always coincide with maximum power, suggesting possible degradation of sensitive antioxidants under intense sonication. A 1:30 w/v ratio was particularly influential for DPPH and ABTS by maintaining a steep concentration gradient. The dataset includes signal-to-noise (S/N) ratio analyses under the "larger-is-better" criterion, ANOVA results (p < 0.05), and full experimental tables and figures, offering a reproducible reference for optimizing green, ultrasound-assisted extraction protocols across other botanical matrices.