Rule of similarity and latex compounding techniques were combined for the first time to prepare natural rubber/nanosilica （NR/SiO2） nanocomposite with core-shell nanosilica-poly （methyl methacrylate） （SiO2-PMMA）...Rule of similarity and latex compounding techniques were combined for the first time to prepare natural rubber/nanosilica （NR/SiO2） nanocomposite with core-shell nanosilica-poly （methyl methacrylate） （SiO2-PMMA） particles and PMMA-modified natural rubber matrix （NR-PMMA）. The micro- structure of SiO2 and nanocomposites with different SiO2 contents was characterized by fourier transform infrared spectroscopy （FTIR）; the morphology of nanocomposites was investigated with scanning electron microscopy （SEM）; the tensile strength was characterized by tensile testing machine and the thermal stability of composites was studied by thermal gravimetric analysis. Results showed that PMMA chains have successfully grafted onto the surface of SiO2, and the core-shell SiO2-PMMA nanoparticles and NR-PMMA latex have been perfectly incorporated. SiO2-PMMA nanoparticles are evenly distributed over the NR matrix with an average size in the range of 60-100 nm at the low content （SiO2≤ 3 wt%）, while aggregations are apparently observed when 5 wt% SiO2 is loaded. In addition, NP/SiO2 composities possess a considerable improvement in ageing resistance compared with the pure NR. The tensile strength of composite increases from 6.99 to 12.72 MPa, reaching the highest value at a 0.5 wt% SiO2 loading, and then the figure decreases gradually because of the aggregation of SiO2 nanoparticles. It is anticipated that the reported process is to provide a simple and economic way for preparing NR composites.展开更多
为挖掘ETCM(The Encyclopedia of Traditional Chinese Medicine)数据库知识,以及挖掘其他中医用药规律、古籍配伍规律提供参考,以小承气汤和厚朴大黄汤配伍组方规律为研究实例,通过Apriori算法和分析软件IBM SPSS Modeler 14.1,通过支...为挖掘ETCM(The Encyclopedia of Traditional Chinese Medicine)数据库知识,以及挖掘其他中医用药规律、古籍配伍规律提供参考,以小承气汤和厚朴大黄汤配伍组方规律为研究实例,通过Apriori算法和分析软件IBM SPSS Modeler 14.1,通过支持度得到频繁项集,再用置信度得到关联规则,从而挖掘中药复方配伍规律。支持度值并不高,这可能与样本数(配方数)有关,但从置信度可以发现,补益药配伍有一些药经常联用。ETCM数据库具有丰富的知识,关联分析是一种挖掘中药复方配伍规律的有效方法。展开更多
基金Funded by the National Natural Science Foundation of China(No.50763006)Ministry of Science and Technology R&D Research Institutes(No.2008EG134285)+1 种基金973 Program Special Fund(No.2010CB635109)the Fundamental Research Funds for Rubber Research Institute,CATAS(No.1630022012013)
文摘Rule of similarity and latex compounding techniques were combined for the first time to prepare natural rubber/nanosilica （NR/SiO2） nanocomposite with core-shell nanosilica-poly （methyl methacrylate） （SiO2-PMMA） particles and PMMA-modified natural rubber matrix （NR-PMMA）. The micro- structure of SiO2 and nanocomposites with different SiO2 contents was characterized by fourier transform infrared spectroscopy （FTIR）; the morphology of nanocomposites was investigated with scanning electron microscopy （SEM）; the tensile strength was characterized by tensile testing machine and the thermal stability of composites was studied by thermal gravimetric analysis. Results showed that PMMA chains have successfully grafted onto the surface of SiO2, and the core-shell SiO2-PMMA nanoparticles and NR-PMMA latex have been perfectly incorporated. SiO2-PMMA nanoparticles are evenly distributed over the NR matrix with an average size in the range of 60-100 nm at the low content （SiO2≤ 3 wt%）, while aggregations are apparently observed when 5 wt% SiO2 is loaded. In addition, NP/SiO2 composities possess a considerable improvement in ageing resistance compared with the pure NR. The tensile strength of composite increases from 6.99 to 12.72 MPa, reaching the highest value at a 0.5 wt% SiO2 loading, and then the figure decreases gradually because of the aggregation of SiO2 nanoparticles. It is anticipated that the reported process is to provide a simple and economic way for preparing NR composites.
文摘为挖掘ETCM(The Encyclopedia of Traditional Chinese Medicine)数据库知识,以及挖掘其他中医用药规律、古籍配伍规律提供参考,以小承气汤和厚朴大黄汤配伍组方规律为研究实例,通过Apriori算法和分析软件IBM SPSS Modeler 14.1,通过支持度得到频繁项集,再用置信度得到关联规则,从而挖掘中药复方配伍规律。支持度值并不高,这可能与样本数(配方数)有关,但从置信度可以发现,补益药配伍有一些药经常联用。ETCM数据库具有丰富的知识,关联分析是一种挖掘中药复方配伍规律的有效方法。
