Chemometric approach towards optimization on the radiolytic removal of micropollutants: Equation based modelling with canonical and ridge analysis

• Published in: Chemometrics and intelligent laboratory systems 2021-01, Vol.208, p.104222, Article 104222
• Main Authors: Balamurugan, Nirkayani, Annamalai, Kavithakani, Gandhi Sethuraman, Muthu Iswarya, Vasudevan, V.N., Achary, Anant, Chellam, Padmanaban Velayudhaperumal
• Format: Article
• Language: English
• Subjects: Antibiotics; Canonical analysis; Dyes; Gamma irradiation; Response surface methodology; Ridge analysis
• ISSN: 0169-7439; 1873-3239
• DOI: 10.1016/j.chemolab.2020.104222

In accordance with optimization, Response Surface Methodology act as indispensable tool which helps in the aspects of process development and understanding the effects of various parameters on a particular process. Though this tool provides valuable insights about a process, Eigen structural analysis of response surfaces aid in detailed understanding of a model. In this study, statistical model for gamma radiolytic degradation of RO-16 dye was developed using Central Composite design with alpha value as 1. The interactive effects of parameters such as pH, Dose of γ ray (kGy), initial concentration of dye (mg/L) were studied. The Canonical analysis was also carried out for degradation RO-16 dye along with other pollutants such as RR-120, DR-80 and Ofloxacin. The developed model showed 55.97% of degradation at pH: 6.0, Dose of gamma ray: 4 ​kGy, and initial concentration of dye: 500 ​mg/L. Canonical analysis revealed that the responses for degradation of three azo dyes were maximum and that of Ofloxacin was minimax. The optimal value for all the processes was determined theoretically by Ridge analysis. Thus canonical and ridge analysis could be used to understand the insights of Response Surface Methodology effectively. [Display omitted] •Interactive effects of process parameters on degradation of RO-16 was studied.•Eigen analysis for the degradation of RO-16, RR-120, DR-80 and Ofloxacin.•Canonical form of second order polynomial equations were derived.•Ridge analysis was performed to obtain the optimal response theoretically.