Zhang_2024_J.Sep.Sci_47_e2400288

Dalbergia odorifera is a natural product rich in pharmacological ingredients, but the comprehensive characterization and rapid profiling of active components remain a challenge. Thus, an integrated data mining and identification strategy was exploited to efficiently identify the chemical constituents and screen acetylcholinesterase inhibitors (AChEIs) through affinity ultrafiltration and ultra-high-performance liquid chromatography-mass spectrometry (AUF-UHPLC-MS). As a result, polygonal mass defect filtering, diagnostic product ions, and neutral loss rules were created for rapid structural classification and component identification. A total of 140 flavonoids were tentatively characterized, including 41 isoflavonoids, 23 flavanones, 21 isoflavans, 19 flavones and flavonols, 13 neoflavonoids, 11 isoflavanones, seven flavone glycosides, and five chalcones. Subsequently, six natural AChEIs including tectorigenin, fisetin, dalbergin, pterostilbene, isoliquiritigenin, and biochanin A were screened out using AUF-UHPLC-MS and molecular docking. Meanwhile, the AChE inhibitory activities of the six compounds were assessed in vitro, tectorigenin, fisetinand, and dalbergin have moderate inhibitory activity. In conclusion, a novel strategy for systematic characterization and further screening of active compounds in natural products was established, which provides a material basis for quality control of Dalbergia odorifera.