{
  "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 α-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 μM. 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.",
  "abstract_shown": true,
  "affiliations": [
    "Guangdong Province Key Laboratory of Pharmacodynamic Constituents of TCM and New Drugs Research, International Cooperative Laboratory of Traditional Chinese Medicine Modernization and Innovative Drug Development of Ministry of Education (MOE) of China, Jinan University, Guangzhou, 510632, China",
    "Corresponding author."
  ],
  "article_type": null,
  "arxiv": null,
  "author_total": 8,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Lin Chen"
    },
    {
      "affs": [
        0
      ],
      "name": "Xinxin Chen"
    },
    {
      "affs": [
        0
      ],
      "name": "Shengnan Pi"
    },
    {
      "affs": [
        0
      ],
      "name": "Ditong Huang"
    },
    {
      "affs": [
        0
      ],
      "name": "Manhuayun Zhai"
    },
    {
      "affs": [
        1
      ],
      "name": "Jincai Wang"
    },
    {
      "affs": [
        1
      ],
      "name": "Zhengjin Jiang"
    },
    {
      "affs": [
        1
      ],
      "name": "Tingting Zhang"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/a30njrsqx91kx.bib",
  "cited_by": 0,
  "doi": "10.1016/j.jpha.2026.101665",
  "fulltext_url": "http://www.sciencedirect.com/science/article/pii/S2095177926001206",
  "id": "a30njrsqx91kx",
  "issns": [
    "2095-1779",
    "2214-0883"
  ],
  "landing_url": "https://doi.org/10.1016/j.jpha.2026.101665",
  "language": "en",
  "licence": "CC-BY",
  "licence_label": "CC BY",
  "licence_source": "journal",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "lcc",
      "RM1-950"
    ],
    [
      "openalex",
      "1703|Computational Drug Discovery Methods"
    ]
  ],
  "openalex": "W7162004807",
  "pdf_url": null,
  "pmcid": null,
  "pmid": null,
  "published": "2026-09-01",
  "publisher": "Elsevier",
  "ris": "https://research.draconitic.com/paper/a30njrsqx91kx.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T13:43:35Z",
      "native_id": "a2624224bcb64f8484a5b821dc9f8be6",
      "source": "doaj",
      "url": "https://doi.org/10.1016/j.jpha.2026.101665"
    }
  ],
  "subjects": [
    {
      "field": "medicine",
      "origin": "lcc:RM1-950",
      "subfield": "pharmacology-toxicology"
    }
  ],
  "title": "A quantitative screening strategy based on activity-content ratio for prioritizing bioactive compounds in medicinal plants",
  "title_text": "A quantitative screening strategy based on activity-content ratio for prioritizing bioactive compounds in medicinal plants",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T13:43:35Z",
  "url": "https://research.draconitic.com/paper/a30njrsqx91kx",
  "venue": "Journal of Pharmaceutical Analysis",
  "versions": []
}