2017
DOI: 10.1515/aep-2017-0015
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Optimization with Response Surface Methodology of biosorption conditions of Hg(II) ions from aqueous media by Polyporus Squamosus fungi as a new biosorbent

Abstract: Abstract:Removal of mercury(II) (Hg(II)) from aqueous media by a new biosorbent was carried out. Natural Polyporus squamosus fungus, which according to the literature has not been used for the purpose of Hg(II) biosorption before, was utilized as a low-cost biosorbent, and the biosorption conditions were analyzed by response surface methodology (RSM). Medium parameters which were expected to affect the biosorption of Hg(II) were determined to be initial pH, initial Hg(II) concentration (C o ), temperature (T (… Show more

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Cited by 19 publications
(5 citation statements)
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“…The plot proves a high reliability of the model as the experimental yields and the predicted yields for the extraction are very close. This result is supported by other researchers [17,18]. A second-order polynomial model for the response is described by Eq.…”
Section: Resultssupporting
confidence: 86%
“…The plot proves a high reliability of the model as the experimental yields and the predicted yields for the extraction are very close. This result is supported by other researchers [17,18]. A second-order polynomial model for the response is described by Eq.…”
Section: Resultssupporting
confidence: 86%
“…Moreover, a high value of the corrected coefficient of determination (85.32%) indicates a high degree of model fit to another sample of data from the same population. The obtained values ( R 2 ) are comparable to the other available data regarding heavy metal removal from real power plant wastewater using electrocoagulation ( R 2 = 99.5% and R 2 = 99.6% for iron and nickel, respectively) [ 63 ], biosorption of Hg (II) ions from aqueous media by Polyporus squamosus ( R 2 = 92.4%) [ 64 ] and optimization of coagulation–flocculation process for wastewater originating from automotive industry and containing Fe, Cr, Cu ions ( R 2 = 92.08%, R 2 = 93.62%, R 2 = 71.87% for Fe, Cr, Cu removal, respectively) [ 65 ] and also for organic substances ( R 2 = 0.8477, R 2 adj = 0.7462) [ 66 , 67 ]. Table 5 presents the results of the model adequacy verification using an analysis of variance.…”
Section: Resultssupporting
confidence: 79%
“…Biosorption method uses organisms such as fungi, bacteria, algae, moss, lignocellulose or cereal bark to absorb heavy metal ions dissolved in water (Holan et al 1993, Lee et al 2011, Kratochvil et al 1998, Uzun et al 2017. Then solid biosorbents are used in liquid-phase separation to remove heavy metal ions in an aqueous solution.…”
Section: Introductionmentioning
confidence: 99%