Principal component analysis and cluster analysis for the characterization of dental composites.
نویسندگان
چکیده
Various experimental dental materials were characterized using chemometric methods. The main aim of the study was to ascertain which composite materials present the best properties for use in restorative dentistry. Bisphenol-alpha-glycidyl methacrylate-based composites containing hydroxyapatite as a filler and a coupling agent were prepared using a photocuring polymerization procedure. Several chemical and mechanical properties of experimental composites were measured and the corresponding data were further studied using principal component analysis and cluster analysis. Results from the characterization allowed the most appropriate materials to be selected. Various composites presented acceptable general properties suggesting their suitability as substitutes for commercial materials in dentistry.
منابع مشابه
بررسی تنوع ژنتیکی پیازهای بومی ایران
In order to study the genetic variation among local varieties of onion in Iran, an experiment was conducted in the Research Center, Faculty of Agriculture, Tabriz University. Sixteen populations were evaluated for agronomic characteristics and also total seed proteins via SDS-PAGE. Cluster analysis and principal component analysis were used to group the onion populations under study. Analysis o...
متن کاملبررسی تنوع ژنتیکی پیازهای بومی ایران
In order to study the genetic variation among local varieties of onion in Iran, an experiment was conducted in the Research Center, Faculty of Agriculture, Tabriz University. Sixteen populations were evaluated for agronomic characteristics and also total seed proteins via SDS-PAGE. Cluster analysis and principal component analysis were used to group the onion populations under study. Analysis o...
متن کاملGenetic Diversity of Genotypes of Durum Wheat (Triticum Turgidum L.) Genotypes Based on Cluster and Principal Component Analyses
Genetic diversity is the basis of the natural evolution of plant breeding and biological system are important components of sustainability. The aim of this study was to evaluate 116 genotypes of Triticum turgidum from seven countries in terms of morphological traits. The results showed that high significant differences among the genotypes. The correlation between gra...
متن کاملGenetic Diversity of Genotypes of Durum Wheat (Triticum Turgidum L.) Genotypes Based on Cluster and Principal Component Analyses
Genetic diversity is the basis of the natural evolution of plant breeding and biological system are important components of sustainability. The aim of this study was to evaluate 116 genotypes of Triticum turgidum from seven countries in terms of morphological traits. The results showed that high significant differences among the genotypes. The correlation between gra...
متن کاملMonitoring and assessment of a eutrophicated coastal lake using multivariate approaches
Multivariate statistical techniques such as cluster analysis, multidimensional scaling and principal component analysis were applied to evaluate the temporal and spatial variations in water quality data set generated for two years (2008-2010) from six monitoring stations of Veli-Akkulam Lake and compared with a regional reference lake Vellayani of south India. Seasonal variations of 14 differen...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- The Analyst
دوره 125 11 شماره
صفحات -
تاریخ انتشار 2000