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Multivariate curve resolution-alternating least squares (MCR-ALS) and central composite experimental design for monitoring and optimization of simultaneous removal of some organic dyes

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Abstract

In this work, multivariate curve resolution-alternating least squares (MCR-ALS) has been applied to resolve and study the simultaneous degradation of three toxic organic dyes using Fenton reaction. Second-order kinetic-spectrophotometric data in the simultaneous degradation of malachite green, crystal violet and methylene blue were analyzed by MCR analysis to get their concentration profiles and calculate their degradation factors. The effect of three parameters (Fe2+, H2O2 concentration and initial pH) and their possible interaction in the simultaneous degradation of mentioned dyes were studied and optimized using experimental design and response surface method. Acquiring second-order data makes possible the analysis and study of the studied dyes in the gray systems which is termed as second-order advantage in the literatures. The prominent point of this work is the combination of second-order data and response surface methodology.

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Authors and Affiliations

  1. Department of Chemistry, Faculty of Science, Urmia University, Urmia, Iran

    Behzad Maheri Kalejahi & Morteza Bahram

  2. Department of Analytical Chemistry, Faculty of Chemistry, University of Tabriz, Tabriz, Iran

    Abdolhossein Naseri

  3. Department of Analytical Chemistry, Faculty of Chemistry, Bu-Ali Sina University, Hamadan, Iran

    Siyavash Bahari & Masomeh Hasani

Authors
  1. Behzad Maheri Kalejahi
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  2. Morteza Bahram
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  3. Abdolhossein Naseri
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  4. Siyavash Bahari
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  5. Masomeh Hasani
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Correspondence to Morteza Bahram.

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Kalejahi, B.M., Bahram, M., Naseri, A. et al. Multivariate curve resolution-alternating least squares (MCR-ALS) and central composite experimental design for monitoring and optimization of simultaneous removal of some organic dyes. J IRAN CHEM SOC 11, 241–248 (2014). https://doi.org/10.1007/s13738-013-0293-6

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  • DOI: https://doi.org/10.1007/s13738-013-0293-6

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