A Simple, Cost-Effective, and Green HPTLC Method for the Estimation of Ascorbic Acid in Solvent and Ultrasound-Assisted Extracts of Phyllanthus emblica, Capsicum annuum, and Psidium guajava

Greener analytical methodologies for the estimation of ascorbic acid (AA) are poorly reported in literature. Furthermore, green indexes literature’s assays AA have not been assessed. As a consequence, aim this research is to invent and validate simple, cost-effective, reverse-phase “high-performance thin-layer chromatography (HPTLC)” method estimating solvent extracts (SE) ultrasound-assisted (UAE) Phyllanthus emblica, Psidium guajava, Capsicum annuum. The greener mobile phase was binary mixture water ethanol (70:30, v/v). At wavelength 265 nm, detection carried out. HPTLC technique linear 25–1200 ng/band range. In addition, accurate, precise, robust, sensitive, green. amount highest SE UAE P. emblica compared guajava C. annuum found be 491.16, 168.91, 144.30 mg/100 g, respectively. However, 673.02, 218.71, 199.30 Using “analytical GREEnness (AGREE)” methodology, greenness index developed calculated 0.88, showing that has an excellent profile. When it came extracting AA, outperformed method. These findings suggested might used estimate variety vegetable crops, plant-based extracts, commercial formulations. because use systems against commonly utilized hazardous determination, also safe sustainable.