ReviewZhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences2026
[Formation mechanisms, construction, and performance evaluation of self-assembled nanoparticles derived from natural products].
Review in Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Authors and funding
7 authors.
Funding
Abstract
Self-assembled nanoparticles (SANs) are a class of nanoscale assemblies that spontaneously form through intermolecular non-covalent interactions. SANs can influence the absorption and distribution of their active components and often exhibit superior activity compared with free active compounds or their simple mixtures. Natural product-based SANs can be constructed using methods such as nanoprecipitation, emulsion-solvent evaporation, and solvothermal techniques, and their physicochemical properties and drug release performance are generally superior to those of the parent compounds. However, the stability and large-scale industrial application of SANs still require further investigation. Owing to their advantageous properties, SANs are expected to become important carriers in next-generation precision drug delivery systems, providing new strategies for the treatment of major diseases.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.