切尔独铵
植物化学
DPPH
贯叶连翘
传统医学
水飞蓟
抗氧化剂
化学
药用植物
植物
生物
生物化学
医学
作者
Akvilė Viršilė,G. Samuolienė,Kristina Laužikė,Emilija Šipailaitė,Zbigniev Balion,Aistė Jekabsone
出处
期刊:Plants
[Multidisciplinary Digital Publishing Institute]
日期:2022-11-16
卷期号:11 (22): 3139-3139
被引量:23
标识
DOI:10.3390/plants11223139
摘要
Medicinal and agricultural plants contain numerous phytochemical compounds with pronounced biological effects on human health. They are known to encapsulate most of their characteristic bioactive compounds within membranous elements of intercellular communication known as exosomes. These nanovesicles serve as capsules protecting their biological activity and improving their penetration into the tissue. Therefore, the application of plant exosome preparations holds considerable potential for cosmetics and pharmacy, but the quality and consistency of plant material for exosome isolation is of critical importance. Therefore, in this study, we aimed to evaluate yield, size distribution patterns, and antioxidant properties between nanovesicle preparations of the following portfolio of medicinal plants: Kalanchoe daigremontiana, Artemisia absinthium, Hypericum perforatum, Silybum marianum, Chelidonium majus, and Scutellaria baicalensis. Results showed that nanoparticle yield, size distribution, and antioxidant activities were specific to plant species. Compared to other plants, nanoparticle preparations from Artemisia absinthium were distinguished by remarkably higher yield and concentration, while the highest antioxidant activity of plant-derived nanoparticle preparations per weight and per particle was determined to occur in Chelidonium majus and Hypericum perforatum samples. Results showed no significant correlation in DPPH (2-diphenyl-1-picrylhydrazyl) free radical scavenging activity and FRAP (ferric reducing antioxidant power) between plant material and nanoparticle preparations. More detailed biochemical analysis of exosome preparations is necessary to validate their biological activity and its relation to source plant cells.
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