2024
DOI: 10.1038/s41598-024-55158-7
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ZnO@ activated carbon derived from wood sawdust as adsorbent for removal of methyl red and methyl orange from aqueous solutions

Nessma S. M. Sayed,
Abdelaal S. A. Ahmed,
Mohamed H. Abdallah
et al.

Abstract: Activated carbon (AC) and ZnO@AC composite derived from wood sawdust were prepared to be utilized as adsorbents for methyl red (MR) and methyl orange (MO) anionic dyes from the aqueous solutions. The maximum adsorption capacity of the AC and ZnO@AC composite toward both dyes was achieved in the strong acidic medium (pH = 3), and under stirring for 60 min. The kinetic studies revealed that the adsorption of MR and MO dyes onto the AC and ZnO@AC composite fitted well with the pseudo-second-order model. Furthermo… Show more

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Cited by 20 publications
(3 citation statements)
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“…Removal efficiency and adsorption capacity of MO (R MO and q MO ) were used to evaluate the adsorption process and are defined as Equation (10) and Equation (11), respectively.…”
Section: Batch Adsorption Experimentsmentioning
confidence: 99%
See 1 more Smart Citation
“…Removal efficiency and adsorption capacity of MO (R MO and q MO ) were used to evaluate the adsorption process and are defined as Equation (10) and Equation (11), respectively.…”
Section: Batch Adsorption Experimentsmentioning
confidence: 99%
“…Furthermore, this method facilitates the potential reuse of dyes [7]. The development of new adsorbents has always been a prominent issue in the field of adsorption separation [8][9][10]. Currently, a large proportion of the literature has reported the adsorption removal of MO from aqueous solutions [11][12][13].…”
Section: Introductionmentioning
confidence: 99%
“…Ag/ZnO nanocomposites have been prepared via several approaches, such as hydrothermal, sol-gel, thermal, and biogenic reduction [25][26][27]. Photoreduction is an effective approach for Ag coupling because of the low reduction potential of Ag, which allows Ag ions (Ag + ) to be easily reduced to Ag° [15,28].…”
Section: Introductionmentioning
confidence: 99%