Estimation of Interaction Parameter and Structure Factor of Specific Drug Delivering Fluorocarbon Nanosystems

S. Ravi; K. Arockia Jayalatha

doi:10.4028/www.scientific.net/JNanoR.9.133

Paper Titles

Synthesis of Silver Nanoparticles by Sonochemical Induced Reduction Application in SERS
p.77

Optical and Surface Morphology Characterization of Nanometric Palladium Films on Silicon Substrates Annealed in Hydrogen Atmosphere
p.83

Surface Characterization and CO₂ Reduction Using Electrodeposited Silver Particles over TiO₂ Thin Film
p.89

Synthesis and Characterization of NiCr Self-Assembled Nanorings
p.101

Role of the Hydrothermal Synthesis Conditions on the Structure and Morphology of Co-Doped Y₂O₃:Er³⁺-Yb³⁺ Nanostructured Materials
p.109

Sol-Gel Synthesis and Structural Characteristics of Optical Y₃Al₅O₁₂:Eu³⁺ Thick Films
p.117

Structural Studies of ZnS Nanoparticles by High Resolution Transmission Electron Microscopy
p.125

Estimation of Interaction Parameter and Structure Factor of Specific Drug Delivering Fluorocarbon Nanosystems
p.133

Study of Fluorescence of Yttrium Doped Zinc Sulfide Nanoparticles
p.139

HomeJournal of Nano ResearchJournal of Nano Research Vol. 9Estimation of Interaction Parameter and Structure...

Estimation of Interaction Parameter and Structure Factor of Specific Drug Delivering Fluorocarbon Nanosystems

Abstract:

From the theoretical point of view, characterization of nano particle interaction depends much on the particle diameter , packing factor , the parameter of the Lennard-Jonnes (LJ) pair potential function  (r) and static structure factor S (Q). A novel method suggested in this paper has been tested on seven specific drug delivering fluorocarbons by estimating the strength of interaction /k of  (r) and S(Q) in terms of the elementary parameter . The importance of this paper is that, the input parameter viz., packing factor has been obtained from the experimental ultrasonic velocity of those seven systems. Calculations were extended for different temperatures involving four different equations of states to back up the application of the model. Though there is a lack of analytical results to compare, our predictions are encouraging.