Three dimensional image analysis for prediction of vinyl triethoxysilane concentration and porosity percent of methyl methacrylate/ethylene glycol dimethacrylate copolymers using scanning electron microscopy

Journal of the Brazilian Chemical Society

Shahreza Islamic Azad University, Shahreza, Iran¹  Esteki, Mahnaz¹  Naghash, Hamid J.¹  Isfahan University of Technology, Isfahan, Iran¹  Khayamian, Taghi¹ 

关键词: copolymers;    scanning electron micrographs;    N-PLS;    unfold-PCR;   

DOI  :  10.1590/S0103-50532010000600009

学科分类：化学（综合）

来源: SciELO

【 摘 要 】

In this work, scanning electron micrographs of copolymer beads based on methyl methacrylate (MMA), ethylene glycol dimethacrylate (EGDM) and vinyl triethoxysilane (VTES) were used to construct multivariate image regression models. Scanning electron microscopy (SEM) and swelling measurements indicated that increasing the silicone concentration (VTES) of the copolymers enhances the amount of pores and porosity percent. Scanning electron micrographs of the synthesized copolymers with different VTES concentrations were used to construct two soft models, which were able to relate the VTES concentration and the porosity percent of the copolymers with their SEM images. The constructed models were the three-way partial least squares analysis (N-PLS) and unfolded principal component regression (unfold-PCR). The predictive ability of the constructed models were evaluated by a test set. The results showed the models were able to effectively predict the VTES concentration and the porosity percent of the copolymers using their corresponding SEM images.

【 授权许可】

Unknown