Khanmohammadi Mohammadreza, Elmizadeh Hamideh, Ghasemi Keyvan
Department of Chemistry, Faculty of Science, International University of Imam Khomeini, Qazvin, Iran.
Iran J Pharm Res. 2015 Summer;14(3):665-75.
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.
聚合物纳米颗粒由尺寸在10 - 1000纳米之间的生物相容性聚合物制备而成。壳聚糖是一种生物相容性聚合物，可被用作药物递送系统。在本研究中，采用优化的自发乳化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。本研究的目的是引入基于粒径与漫反射红外傅里叶变换（DRIFT）光谱技术之间关系的方法。使用偏最小二乘法（PLS）技术基于DRIFT光谱估计平均粒径。使用DRIFT光谱法对42个不同粒径的壳聚糖纳米颗粒样品进行了分析，并通过PLS对获得的数据进行了处理。将实际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了比较。观察到PLS能够正确预测合成样品的平均粒径。通过FE - SEM确定纳米颗粒及其形态状态。基于用所提出的方法进行的形态特征分析，将样品分为“合适”和“不合适”两组。使用主成分分析、聚类分析（CA）和线性判别分析（LDA）等化学计量学方法对壳聚糖纳米颗粒的形态进行分类。使用LDA对训练集和测试集正确分类的样品百分比分别为100%和90%。
