Dataset on Green Synthesis and Analytical Performance Data of Silver Nanoparticles from Pomegranate Peel Extract for Mercury (II) Detection in Skin Whitening Creams

The dataset was generated during the preparation and analytical application of plant-mediated silver nanoparticles for mercury (II) ion monitoring in cosmetic cream matrices. Data collection was carried out under controlled laboratory conditions using UV–Vis spectrophotometry, particle size analysis, and zeta potential measurements.

The dataset includes wavelength–absorbance values, calibration measurements across defined mercury concentration ranges, optimization data (pH, reaction time, and reagent volume ratios), selectivity measurements in the presence of other metal ions, and recovery data from fortified cosmetic samples. Limit of detection (LOD) and limit of quantification (LOQ) values were calculated using regression slope and blank standard deviation according to standard analytical equations.

Absorbance values were recorded at defined wavelengths after fixed reaction times. Calibration data are presented as concentration vs absorbance pairs to allow independent regression analysis. Optimization datasets contain condition–response tables enabling comparison across experimental variables. Recovery datasets include spiked concentration levels and corresponding calculated recovery percentages.

The files are organized to allow reuse for regression modeling, validation exercises, comparative assessment of nanoparticle-based sensing configurations, and statistical reanalysis of analytical performance parameters