multivariate curve resolution-alternating least squares (mcr-als) and central composite experimental design for monitoring and optimization of simultaneous removal of some organic dyes by synthesized composite active carbon@cofe2o4

Abstract: water pollution by pollutants released from various industries is one of the environmental concerns, however, adsorption of pollutants is a promising option for wastewater treatment [1]. the type of adsorbent is the main parameter in this process and also the actual wastewater is usually a mixture of different pollutants [2]. therefore, the overall purpose of this work is to synthesize activated carbon@cobalt ferrite (ac@cfo) nano adsorbent from coffee waste in two pyrolysis and co-precipitation steps and evaluate its performance in simultaneous removal of a mixture of anionic and cationic dyes including methylen blue (mb), crystal violet (cv), and methyl orang (mo). ac@cfo characterized by brunauer emmett teller (bet), vibrating sample magnetometer (vsm), and x-ray diffraction pattern (xrd). bet showed that the synthesized adsorbent has a higher adsorption capacity than commercial ac adsorben, vsm showed good magnetic strength to separate from aqueous solution, and xrd showed that cfo nanoparticles were crystallized in the spinel structure. the effect of three parameters (dose adsorb, concentration dyes, and initial ph) and their possible interaction in the simultaneous removal of mentioned dyes were studied and optimized using experimental design and response surface method [3]. the values of the regression coefficient for mb, cv, and mo were determined as 98.48, 97.39 and 98.67 percent, respectively, revealing the reliability of the obtained polynomial models to predict removal efficiencies. in this work, multivariate curve resolutionalternating least squares (mcr-als) has been applied to resolve and study the simultaneous removal of three organic dyes using adsorbtion reaction. maximum dyes removal efficiencies were 100%, 67.21% and 83.11% for mb, cv, and mo respectively at optimum conditions. according to the results, the ac@cfo has great potential for the removal of various dyes.