Literature DB >> 18599293

Process optimization studies of lead (Pb(II)) biosorption onto immobilized cells of Pycnoporus sanguineus using response surface methodology.

Y Yus Azila1, M D Mashitah, S Bhatia.   

Abstract

A central composite design (CCD) was employed to optimize the biosorption of Pb(II) ions onto immobilized cells of Pycnoporus sanguineus. The independent variables were initial Pb(II) concentration, pH and biomass loading. The combined effects of these variables were analyzed by response surface methodology (RSM) using quadratic model for predicting the optimum point. Under these conditions the model predicted a maximum of 97.7% of Pb(II) ions removal at pH 4, 200mg/L of initial Pb(II) concentration with 10g/L of biosorbent. The experimental values are in good agreement with predicted values within +0.10 to +0.81% error.

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Year:  2008        PMID: 18599293     DOI: 10.1016/j.biortech.2008.03.056

Source DB:  PubMed          Journal:  Bioresour Technol        ISSN: 0960-8524            Impact factor:   9.642


  3 in total

1.  Application of artificial neural network for prediction of Pb(II) adsorption characteristics.

Authors:  Monal Dutta; Jayanta Kumar Basu
Journal:  Environ Sci Pollut Res Int       Date:  2012-10-23       Impact factor: 4.223

2.  Characterization of triclosan metabolism in Sphingomonas sp. strain YL-JM2C.

Authors:  Sikandar I Mulla; Han Wang; Qian Sun; Anyi Hu; Chang-Ping Yu
Journal:  Sci Rep       Date:  2016-02-25       Impact factor: 4.379

3.  Microbial Decolorization of Triazo Dye, Direct Blue 71: An Optimization Approach Using Response Surface Methodology (RSM) and Artificial Neural Network (ANN).

Authors:  Khairunnisa' Mohd Zin; Mohd Izuan Effendi Halmi; Siti Salwa Abd Gani; Uswatun Hasanah Zaidan; A Wahid Samsuri; Mohd Yunus Abd Shukor
Journal:  Biomed Res Int       Date:  2020-02-18       Impact factor: 3.411

  3 in total

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