2003
DOI: 10.1002/jccs.200300036
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Rice Bran as an Excellent Sorbent for Heavy Metals from Aqueous Media, 1. Optimization of Conditions

Abstract: In this two‐part report, the efficiency of rice bran in removal of heavy metals such as cadmium, lead, zinc, nickel, copper and iron(III) from aqueous solution is investigated. The different experimental conditions such as pH, temperature, volume of solution, bran amount, particle size, exchange time, stirring speed, etc. are studied, and the optimum conditions are selected in part 1 of this series of reports. The efficiency of bran in removal of heavy metals is presented with and without treatments. For treat… Show more

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Cited by 17 publications
(7 citation statements)
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“…Since q values remains constant for all the three selected particle sizes. No effect of altering sorbent particle size on q e (mg g −1 ) is consistent with other reports [14]. All three particle sizes showed the similar efficacy.…”
Section: Biosorption Conventional Experimental Variablessupporting
confidence: 91%
“…Since q values remains constant for all the three selected particle sizes. No effect of altering sorbent particle size on q e (mg g −1 ) is consistent with other reports [14]. All three particle sizes showed the similar efficacy.…”
Section: Biosorption Conventional Experimental Variablessupporting
confidence: 91%
“…Adsorbents are cheap, easily available and if possible regenerate able and that they have large surface area and high sorption capacity. Adsorbents also have high affinity towards organic compounds [7][8][9][10][11][12][13][14][15][16]. Because of the very high affinity of these solutes on the agri-wastes and high stability of the sorbates on the solid surface, their recovery from the adsorbents is not economical.…”
Section: Introductionmentioning
confidence: 99%
“…Its linearized form is represented by the equation log q e = log K + 1/n log C e Where q is the amount adsorbed per unit mass of adsorbent and Ce is equilibrium concentration. The plot of log q e vs. log C e is linear and constants K and n can be evaluated from slopes and intercepts [26][27] .…”
Section: Equilibrium Modelingmentioning
confidence: 99%