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Chapter 1: Cluster Origin of Solvent Fea... > OPTIMIZING SOLVENT SELECTION: SOLVEN... - Pg. 25

Cluster Origin of Solvent Features BIOINSPIRED NANOMATERIALS Biology made significant advances in under- standing molecular mechanisms governing life's processes (Aimé, 2010). Materials emerged from life systems that physicists/chemists addressed at molecular scale, e.g., DNA technology, which affords elaboration of programmable chemical synthesis routes to build complex functions with molecular precision and sheds light on a new gen- eration of robust tools. Semiconductor industry's development led to miniaturization. Its current challenge is to develop lithographic technology for feature sizes below 20nm and explore new classes of electronic devices based on C NTs/NWs. A technological challenge is constructing multi- scale structures used to organize nanodevices and functional materials. it is necessary to vary sample relative retention selectivity by changing experimental variables, e.g., solvent type, pH, etc. (Snyder, 1997). Choice of which variable will be most suitable for a change in selectivity depends on conflicting goals: (1) attainment of maximum changes in for better resolution control and (2) avoidance of practical problems associated with a given variable use to optimize selectivity. Results provided a variables evaluation for effect on selectivity . He discussed problems that must be balanced against ability of a variable to change . He examined selection of any two variables for their simultaneous use in controlling . Three properties were significant: acidic­basic­dipolar natures. He recalculated Rohrschneider's data based on properties and plotted them in the solvent selectivity triangle. Methanol (MeOH)­acetonitrile (ACN)­tetrahy- drofuran (THF) are the most used organic solvents, in mobile phase, for RP LC separations.