Hermin Sulistyarti, Muhammad Mashuri Utama, Ari Muchson Fadhila, Anggita Cahyaningrum, Revika Julia Murti, Ayu Febriyanti
Mercury is one of the most toxic heavy metals causing harmful effects on the human body; meanwhile, mercury is found in some face cream products to give a whitening effect. The upper limit concentration of mercury in skin-lightening products defined by the Food and Drug Administration (FDA) is under one mg/L as Hg2+. A new green analytical spectrophotometric method for mercury analysis has been developed by employing a biological reagent from fruit skin extract of robusta coffee (Coffea canephora) as a bioreductor for silver ions as well as a stabilizer for the AgNPs product. The detection principle of this method is based on the decrease of the color intensity of silver nanoparticles (AgNPs) after the addition of Hg2+ ions due to the re-oxidization of the AgNPs by Hg2+ ions to colorless Ag+ ions. To achieve the most significant sensitivity, linearity of measurement, and validity, the method was optimized toward the volume of AgNPs and reaction time. In this research, the synthesized AgNPs were also characterized by UV–Vis Spectrometry as well as a particle size analyzer (PSA) to determine the size of nanoparticles. The result showed that the optimum conditions were attained at 4 mL AgNPs solution and 3-min reaction resulting in a linear measurement of Hg2+ in the range of 0–15 mg/L with LOD and LOQ of 0.039 and 0.130 mg/L, respectively. This method is quite selective and has been validated by applying it to real face cream samples with satisfactory results supported by average recoveries of close to 100%. Graphical abstract: [Figure not available: see fulltext.] © 2022, The Author(s), under exclusive licence to The Japan Society for Analytical Chemistry.
Chemistry Department, Faculty of Mathematics and Natural Sciences, Brawijaya University, Jl. Veteran 1, Malang, 65145, Indonesia; LCAMIA: Research Centre for Low Cost and Automated Method and Instrumentation Analysis, Brawijaya University, Malang, 65145, Indonesia
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