Chen_2026_J.Pharm.Anal_16_101665

Reference

Title : A quantitative screening strategy based on activity-content ratio for prioritizing bioactive compounds in medicinal plants - Chen_2026_J.Pharm.Anal_16_101665
Author(s) : Chen L , Chen X , Pi S , Huang D , Zhai M , Wang J , Jiang Z , Zhang T
Ref : J Pharm Anal , 16 :101665 , 2026
Abstract :

Accurately evaluating the intrinsic bioactivity of individual constituents, independent of their abundance, remains a major challenge in natural product screening. To address this, we proposed the activity-content ratio (ACR) as a novel index for direct intrinsic inhibitory potency characterization of constituents. Utilizing an at-line nanofractionation platform, an ACR-based screening method for acetylcholinesterase inhibitors was established. The method was validated using both mixed standards and a complex extract of Corydalis rhizoma alkaloids. Results demonstrated a strong linear correlation (R (2) > 0.93) between ACR% and IC(50) for 16 active constituents. High-ACR% compounds, such as berberine, palmatine, and dehydrocorydalin, exhibited significant inhibitory activities at nanomolar concentrations. The model's broad applicability was further confirmed by screening Citri reticulatae pericarpium flavonoids for alpha-glucosidase inhibitors, showing excellent linearity (R (2) = 0.96) for the five identified active constituents. Notably, rutin displayed the highest ACR% and an IC(50) of 15.21 +/- 1.23 microM. The consistent performance of the ACR model across two distinct enzymatic targets and chemical families (alkaloids and flavonoids) demonstrates its reliability and broad applicability. This study provides a reliable and efficient quantitative tool for bioactivity evaluation, which is expected to greatly accelerate the discovery and quality control of bioactive medicinal plants.

PubMedSearch : Chen_2026_J.Pharm.Anal_16_101665
PubMedID: 42824724

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Citations formats

Chen L, Chen X, Pi S, Huang D, Zhai M, Wang J, Jiang Z, Zhang T (2026)
A quantitative screening strategy based on activity-content ratio for prioritizing bioactive compounds in medicinal plants
J Pharm Anal 16 :101665

Chen L, Chen X, Pi S, Huang D, Zhai M, Wang J, Jiang Z, Zhang T (2026)
J Pharm Anal 16 :101665