In this study, alendronate (Aln)-loaded chitosan (Ch)/hydroxypropyl-methylcellulose (HPMC)/tripolyphosphate (TPP) nanoparticles were generated by ionic gelation method, combined with electrospray. Then, an artificial neural networks (ANNs) model was used to identify the influence of factors including flow rate and concentration of HPMC, TPP and poloxamer concentrations on the size of nanoparticles. In the optimized formulation, the size of nanoparticles was 180 nm and 92 ± 17 nm by DLS and SEM, respectively. Also, PDI of the sample was determined to be 0.172. It was found that the size strongly depended on the TPP and poloxamer concentration. The presented method is a promising procedure in preparation of nanoparticles to be used in mucoadhesive oral drug delivery applications.

在这项研究中，阿仑膦酸盐 (Aln) 负载的壳聚糖 (Ch)/羟丙基甲基纤维素 (HPMC)/三聚磷酸盐 (TPP) 纳米颗粒通过离子凝胶法结合电喷雾制备。然后，使用人工神经网络 (ANNs) 模型来确定流速和 HPMC 浓度、TPP 和泊洛沙姆浓度等因素对纳米颗粒尺寸的影响。在优化的配方中，DLS 和 SEM 的纳米颗粒尺寸分别为 180 nm 和 92±17 nm。此外，样品的 PDI 被确定为 0.172。发现尺寸强烈依赖于TPP和泊洛沙姆浓度。所提出的方法是制备用于粘膜粘附口服药物递送应用的纳米颗粒的有前途的过程。