2022
DOI: 10.1016/j.jics.2022.100638
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Response surface methodology for optimization of heavy metal removal by magnetic biosorbent made from anaerobic sludge

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Cited by 13 publications
(5 citation statements)
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“…In addition, Touihri et al [ 47 ] obtained maximum Cr(VI) and Cu(II) elimination efficiencies of 212.22 mg/g and 68.64 mg/g, respectively, using magnetic pinecone gel beads as an adsorbent. However, the fabricated M-Ch/CNF-Fe(III) composite showed better adsorption efficiency of heavy metal ions than silica-coated amino-functionalized magnetic Muraya koenigii extracts [ 39 ], magnetic nanoparticles incorporated with chitosan gel [ 45 ], magnetically activated carbon nanoparticles [ 48 ], and magnetically modified alkali-conditioned anaerobically digested sludge [ 49 ].…”
Section: Resultsmentioning
confidence: 99%
“…In addition, Touihri et al [ 47 ] obtained maximum Cr(VI) and Cu(II) elimination efficiencies of 212.22 mg/g and 68.64 mg/g, respectively, using magnetic pinecone gel beads as an adsorbent. However, the fabricated M-Ch/CNF-Fe(III) composite showed better adsorption efficiency of heavy metal ions than silica-coated amino-functionalized magnetic Muraya koenigii extracts [ 39 ], magnetic nanoparticles incorporated with chitosan gel [ 45 ], magnetically activated carbon nanoparticles [ 48 ], and magnetically modified alkali-conditioned anaerobically digested sludge [ 49 ].…”
Section: Resultsmentioning
confidence: 99%
“…The statistically significant correlation of a design was determined using variance analysis (ANOVA). The ideal parameters were determined using the following linear relationship; then, contours were utilised to examine every variable's interaction influence [26].…”
Section: Response Surface Methodologymentioning
confidence: 99%
“…RSM is a statistical method that uses quantitative data from experimental tests to determine regression model equations and the optimum operating conditions. RSM is an assembly of mathematical and statistical techniques for modeling and analyzing problems in which a response of interest is influenced by several variables [27,28].…”
Section: Application Of Rsmmentioning
confidence: 99%