Aegle marmelos (L.) Correa is an Indian medicinal plant known for its vast therapeutic activities. In Ayurveda, the plant is known to balance “vata,” “pitta,” and “kapha” dosh. Recent studies suggest anti-inflammatory, anti-microbial, and anti-diabetic potential but lack in defining the dosage over the therapeutic activities. This study aims to determine the chemical profile of Aegle marmelos fruit extract; identification, enrichment, and characterization of the principal active component(s) having anti-inflammatory and anti-diabetic potential. Targeted enrichment of total coumarins, focusing on marmelosin, marmesin, aegeline, psoralen, scopoletin, and umbelliferone, was done from Aegle marmelos fruit pulp, and characterized using advanced high-throughput techniques. In vitro and in silico anti-diabetic and anti-inflammatory activities were assessed to confirm their efficacy and affinity as anti-diabetic and anti-inflammatory agents. The target compounds were also analysed for toxicity by in silico ADMET study and in vitro MTT assay on THP-1 and A549 cell lines. The coumarins enrichment process designed, was found specific for coumarins isolation as it resulted into 48.61% of total coumarins enrichment, which includes 31.2% marmelosin, 8.9% marmesin, 4% psoralen, 2% scopoletin, 1.7% umbelliferone, and 0.72% aegeline. The quantification with HPTLC and qNMR was found to be correlated with the HPLC assay results. The present study validates the potential use of Aegle marmelos as an anti-inflammatory and anti-diabetic agent. Coumarins enriched from the plant fruit have good therapeutic activity and can be used for Phytopharmaceutical ingredient development. The study is novel, in which coumarins were enriched and characterized by a simple and sophisticated methodology.

The existing HPLC methods for the assaying of multiple markers in standardized herbal extracts use a single wavelength for quantification, which usually leads to lower assay than actual claims. It was because screening multiple phytochemical standards irrespective to their absorption maxima which drive decrease in peak are response which ultimately impact the assay. To overcome this issue, we have applied a methodology, called Mixed Standard Multi-Signal (MSMS) simultaneous detection, where multiple reference standards get extracted each with their respective λ_max and quantification will be done at the same λ_max in a single sequence data setup. This method was standardized using Single Signal Multi-Standards, Single Signal Single Standard, Multi-Signal Single Standard, for all individual reference standards, mixed reference standards, plant extracts, and Ayurvedic formulations. The results of our study demonstrate that higher assay reported total actives 5.04% by conventional detection and for current proposed method 13.81% with shorter span of analysis time and lesser solvent consumption. It helps to decide the actual standardization label claim on product which drives better commercial costings, and dosage regimen claims. Graphical Abstract