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Application of the Taguchi Method for Optimizing the Process Parameters for the Removal of Sulfur Black dye

SANGITA YADAV, SUBHASH CHANDER, NEHA, SWETA KUMARI, ANKUR AND ASHA GUPTA*
Department of Environmental Science and Engineering, Guru Jambheshwar University of Science and Technology,
Hisar-125 001 (Haryana), India
*(e-mail: gupta06amit@gmail.com; Mobile: 86070 22973)
(Received: January 24, 2023; Accepted: February 27, 2023)

ABSTRACT

In this study, the parameters for the adsorption of sulfur black dye onto ZnO and ZnO-ME nanoparticles
were optimized in a batch system (ZnO-nanomaterials synthesized using bacterial extracts and ZnO-ME-nanomaterials synthesized using bacterial cell mass). For estimating the significant and interaction effects of several investigated factors (initial concentration of sulphur black dye, adsorbent dose and contact time) on the adsorption process, the Taguchi optimization approach (an L9 array design) was used. It was discovered that 15 mg of adsorbent, 55 mg/l of initial dye concentration and 2 h of contact time at pH 7 and room temperature were the optimum conditions. Using the analysis of variance (ANOVA) method, the percentage contribution of each process parameter to the removal of sulphur black dye was estimated. It was discovered that Taguchi predicted well results. It was discovered that the percentage removal of the sulphur black dye obtained in the confirmatory experiments conducted under optimized conditions was higher than that optimized in each of the Taguchi design’s test runs, supporting the accuracy of the process parameter optimized under the specified experimental conditions.
Key words : ZnO nanomaterials, sulfur black dye, Taguchi, analysis of variance, optimization