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摘要:
<strong>Background: </strong>Recent decades witnessed a significant growth in terms of phytocompounds based therapeutics, extensively explored for almost all types of existing disorders. They have also been widely investigated in Neurodegenerative disorders (NDDs) and Chlorogenic acid (CGA), a polyphenolic compound having potential anti-inflammatory and anti-oxidative properties, emerged as a promising compound in ameliorating NDDs. Owing to its poor stability, bioavailability and release kinetics, CGA needed a suitable nanocarrier based pharmaceutical design for targeting NDDs. <strong>Objective: </strong>The current study is aimed at the <em>in-silico</em> validation of CGA as an effective therapeutic agent targeting various NDDs followed by the fabrication of polymeric nanoparticles-based carrier system to overcome its pharmacological limitations and improve its stability. <strong>Methods:</strong> A successful <em>in-silico</em> validation using molecular docking techniques along with synthesis of CGA loaded polymeric nanoparticles (CGA-NPs) by ionic gelation method was performed. The statistical optimisation of the developed CGA-NPs was done by Box Behnken method and then the optimized formulation of CGA-NPs was characterised using particle size analysis (PSA), Transmission electron microscopy (TEM), Fourier Transform Infrared spectroscopy (FTIR) along with in-vitro release kinetics analysis.<strong> Results & Conclusion:</strong> The results attained exhibited average particle size of 101.9 ± 1.5 nm, Polydispersibility (PDI) score of 0.065 and a ZP of <span style="white-space:nowrap;">&#8722;</span>17.4 mV. On a similar note, TEM results showed a size range of CGA-NPs between 90 - 110 nm with a spherical shape of NPs. Also, the data from in-vitro release kinetics showed a sustained release of CGA from the NPs following the first-order kinetics suggesting the appropriate designing of nanoformulation.
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篇名 &lt;i&gt;In-Silico&lt;/i&gt;Validation and Development of Chlorogenic Acid (CGA) Loaded Polymeric Nanoparticle for Targeting Neurodegenerative Disorders
来源期刊 生物材料与纳米技术(英文) 学科 医学
关键词 ANTIOXIDANT ANTI-INFLAMMATORY Polymeric Nanoparticles Release Kinetics Box Behnken Design Molecular Docking Particle Size Analysis
年,卷(期) 2020,(4) 所属期刊栏目
研究方向 页码范围 279-303
页数 25页 分类号 R73
字数 语种
DOI
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节点文献
ANTIOXIDANT
ANTI-INFLAMMATORY
Polymeric
Nanoparticles
Release
Kinetics
Box
Behnken
Design
Molecular
Docking
Particle
Size
Analysis
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研究来源
研究分支
研究去脉
引文网络交叉学科
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期刊影响力
生物材料与纳米技术(英文)
季刊
2158-7027
武汉市江夏区汤逊湖北路38号光谷总部空间
出版文献量(篇)
328
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0
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