2016
DOI: 10.1016/j.jtice.2016.04.036
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Modification of magnetite ore as heterogeneous nanocatalyst for degradation of three textile dyes: Simultaneous determination using MCR-ALS, process optimization and intermediate identification

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Cited by 23 publications
(7 citation statements)
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“…Although the maximum degree of dye degradation is attained (>99%), the large quantity of catalyst (10 g/L) and degradation time (240 min) are the limitations. Generally, in the presence of hydrogen peroxide, azo dyes are expected to be degraded relatively faster …”
Section: Environmental Remediation By Hematite and Magnetitementioning
confidence: 99%
See 1 more Smart Citation
“…Although the maximum degree of dye degradation is attained (>99%), the large quantity of catalyst (10 g/L) and degradation time (240 min) are the limitations. Generally, in the presence of hydrogen peroxide, azo dyes are expected to be degraded relatively faster …”
Section: Environmental Remediation By Hematite and Magnetitementioning
confidence: 99%
“…Generally, in the presence of hydrogen peroxide, azo dyes are expected to be degraded relatively faster. 136 A combination of textile azo dyes (malachite green, basic red 46, and basic blue-3) degraded through Fenton reaction by means of magnetite NPs. GC-MS was used to confirm the degradation of the dye into lower weight molecular products.…”
Section: Environmental Remediation By Hematitementioning
confidence: 99%
“…The factors which negatively influences the degradation of RO 16, RR 120 and DR 80 are A 2 , B 2 and AC. Analysis of Variance (ANOVA) was used to determine the importance and adequacy of the developed models [30]. Tables 6, 7 and 8 summarises the results of ANOVA for the degradation of RO 16, RR 120 and DR 80 by Ozonolysis.…”
Section: Degradation Of Dyes -Statisticalmentioning
confidence: 99%
“…While some researchers applied the PLS method to quantify organic pollutants, this method suffers various drawbacks, including a high number of calibration data set and its limited effectiveness in the identification and calculation of byproducts during degradation processes [28]. On the contrary, MCR-ALS is a far efficient choice, due to its unique ability of both qualifying and quantifying an analyte in the presence of unknown components [16,29].…”
Section: Introductionmentioning
confidence: 99%