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Investigation of Size and Morphology of Chitosan Nanoparticles Used in Drug Delivery System Employing Chemometric Technique

机译:利用化学计量技术研究用于药物递送系统的壳聚糖纳米颗粒的尺寸和形态

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摘要

The polymeric nanoparticles are prepared from biocompatible polymers in size between 10-1000 nm. Chitosan is a biocompatible polymer that - can be utilized as drug delivery systems. In this study, chitosan nanoparticles were synthesized using an optimized spontaneous emulsification method. Determining particle size and morphology are two critical parameters in nanotechnology. The aim of this study is to introduce methodology based on relation between particle size and diffuse reflectance infrared fourier transform (DRIFT) spectroscopy technique. Partial least squares (PLS) technique was used to estimate the average particle size based on DRIFT spectra. Forty two different chitosan nanoparticle samples with different particle sizes were analyzed using DRIFT spectrometry and the obtained data were processed by PLS. Results obtained from the real samples were compared to those obtained using field emission scanning electron microscope(FE-SEM) as a reference method. It was observed that PLS could correctly predict the average particle size of synthesized sample. Nanoparticles and their morphological state were determined by FE-SEM. Based on morphological characteristics analyzing with proposed method the samples were separated into two groups of "appropriate" and "inappropriate". Chemometrics methods such as principal component analysis, cluster analysis (CA) and linear discriminate analysis (LDA) were used to classify chitosan nanoparticles in terms of morphology. The percent of correctly classified samples using LDA were 100 %and 90% for training and test sets, respectively.
机译:所述聚合物纳米颗粒由尺寸在10-1000nm之间的生物相容性聚合物制备。壳聚糖是一种生物相容性聚合物,可以用作药物输送系统。在这项研究中,使用优化的自发乳化方法合成了壳聚糖纳米颗粒。确定粒径和形态是纳米技术中的两个关键参数。本研究的目的是介绍基于粒度与漫反射红外傅里叶变换(DRIFT)光谱技术之间的关系的方法。偏最小二乘(PLS)技术用于基于DRIFT光谱估计平均粒径。使用DRIFT光谱仪分析了42种不同粒径的不同壳聚糖纳米颗粒样品,并通过PLS处理了获得的数据。将真实样品获得的结果与使用场发射扫描电子显微镜(FE-SEM)作为参考方法获得的结果进行比较。观察到PLS可以正确预测合成样品的平均粒径。纳米颗粒及其形貌通过FE-SEM确定。基于所提出方法的形态特征分析,将样品分为“适当”和“不适当”两组。使用化学计量学方法,例如主成分分析,聚类分析(CA)和线性判别分析(LDA),可以根据形态对壳聚糖纳米颗粒进行分类。对于训练集和测试集,使用LDA正确分类的样本的百分比分别为100%和90%。

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