Matches in SemOpenAlex for { <https://semopenalex.org/work/W3173706249> ?p ?o ?g. }
- W3173706249 endingPage "117862212110281" @default.
- W3173706249 startingPage "117862212110281" @default.
- W3173706249 abstract "Tannery industrial effluent is one of the most difficult wastewater types since it contains a huge concentration of organic, oil, and chrome (Cr). This study successfully prepared and applied bimetallic Fe/Cu nanoparticles (Fe/Cu NPs) for chrome removal. In the beginning, the Fe/Cu NPs was equilibrated by pure aqueous chrome solution at different operating conditions (lab scale), then the nanomaterial was applied in semi full scale. The operating conditions indicated that Fe/Cu NPs was able to adsorb 68% and 33% of Cr for initial concentrations of 1 and 9 mg/L, respectively. The removal occurred at pH 3 using 0.6 g/L Fe/Cu dose, stirring rate 200 r/min, contact time 20 min, and constant temperature 20 ± 2ºC. Adsorption isotherm proved that the Khan model is the most appropriate model for Cr removal using Fe/Cu NPs with the minimum error sum of 0.199. According to khan, the maximum uptakes was 20.5 mg/g Cr. Kinetic results proved that Pseudo Second Order mechanism with the least possible error of 0.098 indicated that the adsorption mechanism is chemisorption. Response surface methodology (RSM) equation was developed with a significant p-value = 0 to label the relations between Cr removal and different experimental parameters. Artificial neural networks (ANNs) were performed with a structure of 5-4-1 and the achieved results indicated that the effect of the dose is the most dominated variable for Cr removal. Application of Fe/Cu NPs in real tannery wastewater showed its ability to degrade and disinfect organic and biological contaminants in addition to chrome adsorption. The reduction in chemical oxygen demand (COD), biological oxygen demand (BOD), total suspended solids (TSS), total phosphorus (TP), total nitrogen (TN), Cr, hydrogen sulfide (H 2 S), and oil reached 61.5%, 49.5%, 44.8%, 100%, 38.9%, 96.3%, 88.7%, and 29.4%, respectively." @default.
- W3173706249 created "2021-07-05" @default.
- W3173706249 creator A5051118023 @default.
- W3173706249 creator A5060438194 @default.
- W3173706249 creator A5069250945 @default.
- W3173706249 creator A5083636714 @default.
- W3173706249 date "2021-01-01" @default.
- W3173706249 modified "2023-10-16" @default.
- W3173706249 title "Effective Chromium Adsorption From Aqueous Solutions and Tannery Wastewater Using Bimetallic Fe/Cu Nanoparticles: Response Surface Methodology and Artificial Neural Network" @default.
- W3173706249 cites W1965839193 @default.
- W3173706249 cites W1969476642 @default.
- W3173706249 cites W1971441308 @default.
- W3173706249 cites W1974285157 @default.
- W3173706249 cites W1977313296 @default.
- W3173706249 cites W1978914936 @default.
- W3173706249 cites W1979955392 @default.
- W3173706249 cites W1982608225 @default.
- W3173706249 cites W1992410420 @default.
- W3173706249 cites W1995749789 @default.
- W3173706249 cites W2030001082 @default.
- W3173706249 cites W2034390793 @default.
- W3173706249 cites W2039224841 @default.
- W3173706249 cites W2047795592 @default.
- W3173706249 cites W2049272618 @default.
- W3173706249 cites W2053018436 @default.
- W3173706249 cites W2056320034 @default.
- W3173706249 cites W2059246379 @default.
- W3173706249 cites W2062886690 @default.
- W3173706249 cites W2066358774 @default.
- W3173706249 cites W2070413054 @default.
- W3173706249 cites W2074417939 @default.
- W3173706249 cites W2081130717 @default.
- W3173706249 cites W2086755414 @default.
- W3173706249 cites W2103947103 @default.
- W3173706249 cites W2112017750 @default.
- W3173706249 cites W2114900095 @default.
- W3173706249 cites W2122458106 @default.
- W3173706249 cites W2126164548 @default.
- W3173706249 cites W2134372081 @default.
- W3173706249 cites W2141837911 @default.
- W3173706249 cites W2150544267 @default.
- W3173706249 cites W2156513181 @default.
- W3173706249 cites W2159727241 @default.
- W3173706249 cites W2180766866 @default.
- W3173706249 cites W2328320969 @default.
- W3173706249 cites W2332000621 @default.
- W3173706249 cites W2341120790 @default.
- W3173706249 cites W2555732521 @default.
- W3173706249 cites W2749455767 @default.
- W3173706249 cites W2769877141 @default.
- W3173706249 cites W2802078388 @default.
- W3173706249 cites W2802798627 @default.
- W3173706249 cites W2887366144 @default.
- W3173706249 cites W2897100873 @default.
- W3173706249 cites W2914295800 @default.
- W3173706249 cites W2949885380 @default.
- W3173706249 cites W2950681882 @default.
- W3173706249 cites W2966006779 @default.
- W3173706249 cites W2972503947 @default.
- W3173706249 cites W2994868735 @default.
- W3173706249 cites W2996264715 @default.
- W3173706249 cites W3005467773 @default.
- W3173706249 cites W3044819737 @default.
- W3173706249 cites W3048460104 @default.
- W3173706249 cites W3113031889 @default.
- W3173706249 cites W4241417577 @default.
- W3173706249 cites W4250874947 @default.
- W3173706249 doi "https://doi.org/10.1177/11786221211028162" @default.
- W3173706249 hasPublicationYear "2021" @default.
- W3173706249 type Work @default.
- W3173706249 sameAs 3173706249 @default.
- W3173706249 citedByCount "16" @default.
- W3173706249 countsByYear W31737062492021 @default.
- W3173706249 countsByYear W31737062492022 @default.
- W3173706249 countsByYear W31737062492023 @default.
- W3173706249 crossrefType "journal-article" @default.
- W3173706249 hasAuthorship W3173706249A5051118023 @default.
- W3173706249 hasAuthorship W3173706249A5060438194 @default.
- W3173706249 hasAuthorship W3173706249A5069250945 @default.
- W3173706249 hasAuthorship W3173706249A5083636714 @default.
- W3173706249 hasBestOaLocation W31737062491 @default.
- W3173706249 hasConcept C121332964 @default.
- W3173706249 hasConcept C12143843 @default.
- W3173706249 hasConcept C127413603 @default.
- W3173706249 hasConcept C13965031 @default.
- W3173706249 hasConcept C147455438 @default.
- W3173706249 hasConcept C148898269 @default.
- W3173706249 hasConcept C150077022 @default.
- W3173706249 hasConcept C150394285 @default.
- W3173706249 hasConcept C155672457 @default.
- W3173706249 hasConcept C171250308 @default.
- W3173706249 hasConcept C178790620 @default.
- W3173706249 hasConcept C184651966 @default.
- W3173706249 hasConcept C185592680 @default.
- W3173706249 hasConcept C191897082 @default.
- W3173706249 hasConcept C192562407 @default.
- W3173706249 hasConcept C33790079 @default.
- W3173706249 hasConcept C42360764 @default.