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Information Journal Paper

Title

Predicting the capability of carboxymethyl cellulose-stabilized iron nanoparticles for the remediation of arsenite from water using the response surface methodology (RSM) model: modeling and optimization

Author(s)

  | Issue Writer Certificate 

Pages

  85-92

Keywords

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Abstract

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    APA: Copy

    . (2017). Predicting the capability of carboxymethyl cellulose-stabilized iron nanoparticles for the remediation of arsenite from water using the response surface methodology (RSM) model: modeling and optimization. Journal of Contaminant Hydrology, 203(-), 85-92. SID. https://sid.ir/paper/662276/en

    Vancouver: Copy

    . Predicting the capability of carboxymethyl cellulose-stabilized iron nanoparticles for the remediation of arsenite from water using the response surface methodology (RSM) model: modeling and optimization. Journal of Contaminant Hydrology[Internet]. 2017;203(-):85-92. Available from: https://sid.ir/paper/662276/en

    IEEE: Copy

    , “Predicting the capability of carboxymethyl cellulose-stabilized iron nanoparticles for the remediation of arsenite from water using the response surface methodology (RSM) model: modeling and optimization,” Journal of Contaminant Hydrology, vol. 203, no. -, pp. 85–92, 2017, [Online]. Available: https://sid.ir/paper/662276/en

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    مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
    مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
    مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
    مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
    مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
    مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
    مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
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