OPTIMIZATION OF THE TECHNOLOGY FOR PRODUCING A MAGNETO CONTROLLABLE NANOCOMPOSITE Ag@Fe3O4 USING MATHEMATICAL DESIGN
Keywords:Synthesis, Technology, Nanoparticles, Silver shell, Magneto controllable composite system, Methods of mathematical design, Regression and correlation analysis, Response surface methodology
Objective: The purpose of the research was to optimize technology for producing a magneto controllable nanocomposite Ag@Fe3O4 with modern physicochemical and therapeutic requirements using methods of mathematical design of the experiment.
Methods: To optimize the synthesis process of the nanocomposite Ag@Fe3O4, the method of factor experiment was used. Mathematical calculations were performed using the STATISTICA 10 StatSoft Inc. system and Excel spreadsheet processor of MS Office 2019 Professional Plus.
Results: Based on the study of technological parameters of nanocomposite synthesis Ag@Fe3O4 (16 experiments) a regression equation was obtained: Y = 106.415+0.038X1+4.448Х2+1.806Х3–1.593Х4–18.945Х5–109.980Х6. By the use of this equation the synthesis parameters were optimized with the help of steepest ascent method. It was found that the maximum yield of Ag@Fe3O4 can be achieved under the following conditions: X1 (magnetite synthesis time, min)–40; X2 (glucose content in solution,%)–10; X3 (temperature of the Tollens reaction, °С)–65; X4 (magnetite silver coating time, min)–30; X5 (pH, units)–8.5; X6 (rate of addition of ammonia, mol/min)–0.36.
Conclusion: Using mathematical design of the experiment, a technology was developed for producing Ag@Fe3O4 with modern physicochemical and therapeutic requirements.
Pandey P, Dahiya M. A brief review on inorganic nanoparticles. J Crit Rev 2016;3:18-26.
Vallabani N, Singh S. Recent advances and future prospects of iron oxide nanoparticles in biomedicine and diagnostics. 3 Biotech 2018;8:279-302.
Nan Zhu, Haining Ji, Peng Yu. Surface modification of magnetic iron oxide nanoparticles. Nanomaterials 2018;8:810-37.
Levitin Ye, Chan T, Kryskiv O, Bilovol A. The ointment containing Ag@Fe3O4 for removal and treatment of skin neoplasms. Sci Rise: Pharm Sci 2016;1:29-34.
Chan TM, Levitin YeYa, Kryskiv OS, Vedernikova IA. Characterization of Ag@Fe3O4 core-shell nanocomposites for biomedical applications. J Chem Pharm Res 2015;7:816-9.
Pham DT, Saelim N, Tiyaboonchai W. Design of experiments model for the optimization of silk fibroin based nanoparticles. Int J Appl Pharm 2018;10:195-201.
Wagh SK, Mali KD, Patil SK, Baviskar DT. Design and evaluation of bilayer tablets of glimepiride and metformin hydrochloride with combination of hydrophilic and hydrophobic polymers by hot melt extrusion. Asian J Pharm Clin Res 2014;7:300-4.
Bhoskar M, Patil P. Development and evaluation of paclitaxel loaded nanoparticles using 24 factorial design. Int J Curr Pharm Res 2015;7:64-72.
Tatode AA, Patil AT, Umekar MJ. Application of response surface methodology in optimization of paclitaxel liposomes prepared by thin film hydration technique. Int J Appl Pharm 2018;10:62-9.
Pukelsheim F. Optimal design of experiments. Augsburg: University of Augsburg; 2006.
Prochaska Ch, Theodore L. Introduction to mathematical methods for environmental engineers and scientists. Hoboken (NJ): John Wiley and Sons; 2018.
Montgomery DC. Statistical quality control. 7th ed. Hoboken (NJ): John Wiley and Sons; 2009.
Levitin Ye, Chan T, Kryskiv O, Skoryk M. Obtaining of magnetic Ag@Fe3O4 nanocomposite with the “core-shell” structure for medical purpose. Scripta Sci Pharm 2015;1:39-45.
Levitin Ye, Kokodiy M, Timanuyk V, Chan T, Kryskiv O. The optical method of measurement of sizes and the refractive index of nanoparticles Ag@Fe3O4. Ces Slov Pharm 2016;5:171-5.
Eriksson L, Johansson E, Kettaneh Wold N, Wikstrom C, Wold S. Design of experiments: principles and application. 3rd ed. Umea: Umetrics Academy; 2008.
Yan X, Gang SuX. Theory and computing: linear regression analysis. Hackensack (NJ): World Scientific Publishing; 2009.
Rowe P. Essential statistics for the pharmaceutical sciences. 2nd ed. Hoboken (NJ): John Wiley and Sons; 2016.
Schmuller J. Statistical analysis with excel for dummies. 4th ed. Hoboken (NJ): John Wiley and Sons; 2016.