Application of response surface methodology for color removing from dyeing effluent using de-oiled activated algal biomass

Abstract Background Conservation of the ecosystem is a prime concern human communities. Industrial development should adopt this concern. Unfortunately, various related activities release lots noxious materials concurrently with significant leakage renewable resources. This work presents new biosorbent activated de-oiled microalgae, Chlorella vulgaris , (AC) for biosorption Acid Red 1 (AR1) from aqueous solution simulated to textile dyeing effluent. The characteristics AC were explored as function process parameters, namely pH, time, and initial dye concentration using response surface methodology (RSM). Results Optimization carried out desirability approach parameters maximum removal%. ANOVA analysis predicted quadratic model elucidated terms regression coefficient value 0.97, F 109.66, adequate precision 34.32 that emphasizes applicability navigate design space. optimization depends on priority minimizing time save energy treating high concentrated effluent resulted in removal % up 83.5%. chemical structure morphology AC, dye-loaded biomass (AB) characterized by Fourier transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM), energy-dispersive X-ray (EDX), transmission microscope (TEM). activation transforms into regular small homogeneous size increases area ultimately enhances its adsorption capacity Conclusion simultaneously RSM performs high-accurate which describes relationship between through minimum number experiments. study performed step towards an integrated sustainable applicable industrial effluents zero-waste process. Using overloaded going further studies micronutrients agricultural soil.