For over two decades, research on the biological and analytical applications of calixarenes and their derivatives has been shown remarkable properties towards organic and bioorganic molecules. Applications in the field of analytical chemistry and biological activity, as well as the anticancer properties of various calixarenes, have been studied and reported by several research groups. Due to their superior geometrical shape, calix[n]arenes structures (with n = 4; 6 or 8) have a special function, moreover, when combined with functional groups, the calixarenes can dissolve well and the low toxicity of the cell and the ability to form stable complexes with metal ion, especially the ability to transport drugs, it is allowed to be applied in the analysis and development of biosensors in fields: Biotechnology and drug discovery calixarene derivatives. The applications of calixarenes and their derivatives are summarized in this review, and future development prospects will be discussed.
Author(s) Details
Dr. Tran Quang Hieu
Saigon Technology University, Ho Chi Minh City, Vietnam.
Dr. Nguyen Van Son
Faculty of Chemical Engineering, Industrial University of Ho Chi Minh City, Vietnam
Dr. Tran Nguyen Minh An
Faculty of Chemical Engineering, Industrial University of Ho Chi Minh City , Vietnam
Le Van Tan
Faculty of Chemical Engineering, Industrial University of Ho Chi Minh City, Vietnam
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Tag: Analysis
Data Analysis Using Venn Diagrams | Chapter 08 | Current Perspective to Economics and Management Vol. 4
Data analysis is the process of evaluating data using analytical and statistical tools to discover useful information and aid in business decision making. There are several data analysis methods. However, one area that has been left out in the analysis of data is the analysis involving intersections and overlapping relationships between two or more sets of items. The intersection of two or more sets of data is a new set that contains all of the elements that are in both sets. This chapter introduces the use of Venn diagrams in the analysis of data sets involving intersections and overlap. This method will be of benefit analysis of data sets that involve mixed financing strategies in finance and economics by showing all possible logical allocation and intersection of strategies in the “Mixed Financing Strategies.”
Author(s) Details
Raude John O. Messo
Department of Business Management, School of Business and Economics, Masinde Muliro University of Science and Technology, Kenya.
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B P International 