Full Factorial Design: Optimization for Nanogel Formation

Nur Fathin Amirah  Shafie; Roshafima  Rasit Ali; Nor Ruwaida  Jamian; Mohd Yusof  Hamzah; Helmi  Haron

doi:10.37934/jrnn.14.1.2837

Authors

Nur Fathin Amirah Shafie Malaysia-Japan International Institute of Technology, University Teknologi Malaysia, 54100 Kuala Lumpur, Malaysia
Roshafima Rasit Ali Malaysia-Japan International Institute of Technology, University Teknologi Malaysia, 54100 Kuala Lumpur, Malaysia
Nor Ruwaida Jamian Malaysia-Japan International Institute of Technology, University Teknologi Malaysia, 54100 Kuala Lumpur, Malaysia
Mohd Yusof Hamzah Nanotechnology Laboratory, Radiation Processing Technology, Malaysian Nuclear Agency, 43000 Kajang, Selangor, Malaysia
Helmi Haron Centre for Instructor and Advanced Skill Training, Jalan Petani 19/1, Seksyen 19, 40300 Shah Alam, Selangor, Malaysia

DOI:

https://doi.org/10.37934/jrnn.14.1.2837

Keywords:

Full Factorial Design, Optimization, Nanogel, DMAEMA

Abstract

The Design of Experiments, DoE, is a set of applied statistics tools for systematically classifying and quantifying cause and effect relationships between variables and outputs in the studied process, which may lead to the discovery of the settings and conditions under which the process becomes optimized. By investigating multiple combinations of factor levels simultaneously, Full Factorial Design can reduce the number of experiments required. The concentration of nanogels in a solution is proportional to the intensity of photon scattering rates. As a result, the condition that produces the higher count rate value is preferable. This study employs a Full Factorial Design to determine the optimal irradiation dosage and DMAEMA concentration for P(NIPAAM-PVP-PEGDA-DMAEMA) nanogels.