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Yudanni

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E-mail:ydnaya@cpu.edu.cn

Professional title:Associate professor

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  • Dr. Yu is an associate professor of Pharmaceutics at China Pharmaceutical University, with a profound commitment to advancing our understanding of Chinese Medicine Pharmaceutics and Computational Pharmaceutics. Holding a PhD. in Pharmaceutical Science from China Pharmaceutical University, and having a Visting scholar experience in University of Washington, Seattle. Dr Yu specializes in developing innovative pharmaceutical technologies for traditional Chinese medicine, meanwhile, explore the mechanism in formulations using computer technology. Her works has been published in a series of domestic and international academic journals. Her research achievements have received support from multiple projects. including the National Natural Science Foundation of Youth Project and the Entrepreneurship Nanjing High level Talent Project.


  • “Triple Strategies to Improve Oral Bioavailability by Fabricating Coamorphous Forms of Ursolic Acid with Piperine: Enhancing Water-Solubility, Permeability, and Inhibiting Cytochrome P450 Isozymes”-Published in the Journal of Molecular Pharmaceutics. 2020

    The Structure-Dependent Electric Release and Enhanced Oxidation of Drug in Graphene Oxide-Based Nanocarrier Loaded with Anticancer Herbal Drug Berberine -Published in the Journal of Journal of Pharmaceutical Sciences. 2015

    Characterization of Co-amorphous Complex with Piperine and Triterpenoids from Ligustri Lucidi Fructus and Dissolution Evaluation in Vitro- Published in the journal of Chinese Traditional and Herbal Drugs. 2018

    Preparation and in vitro Transdermal Diffusion of Betulinic Acid Loaded Ethosomes- Published in the journal of Chinese Journal of Experimental Traditional Medical Formulae. 2014

    Phase Diagram for a Three Component System (Microemulsion) - Published in the Journal of Chemical Education. 2021


  • Research on the co-amorphous drug system of Piperine and triterpenes from Ligustrum lucidum

    Establishment of computational model and data analysis for Ursolic Acid


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