Evidence map›Paper›PMID 30291615›Full record

ArticleEnvironmental science and pollution research international2018

A response surface methodology for optimization of 2,4-dichlorophenoxyacetic acid removal from synthetic and drainage water: a comparative study.

Mohammad Javad Amiri, Mehdi Bahrami, Bahareh Beigzadeh, Antonio Gil

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Environmental science and pollution research international, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Mohammad Javad AmiriDepartment of Water Engineering, College of Agriculture, Fasa University, Fasa, 74617-81189, Iran. mj_amiri@fasau.ac.ir.
Mehdi BahramiDepartment of Water Engineering, College of Agriculture, Fasa University, Fasa, 74617-81189, Iran.
Bahareh BeigzadehDepartment of Water Engineering, College of Agriculture, Fasa University, Fasa, 74617-81189, Iran.
Antonio GilINAMAT-Department of Sciences, Campus of Arrosadia, Public University of Navarra, 31006, Pamplona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The potential of a granular activated carbon (GAC), a rice husk biochar (BRH), and multi-walled carbon nanotubes (MWCNTs) for removing 2,4-dichlorophenoxyacetic acid (2,4-D) from simulated wastewater and drainage water has been evaluated. In this regard, a response surface methodology (RSM) with a central composite design (CCD) (CCD-RSM design) was used to optimize the removal of 2,4-D from simulated wastewater under different operational parameters. The maximum adsorption capacities followed the order GAC > BRH > MWCNTs, whereas the equilibrium time increased in the order MWCNTs < GAC < BRH. In the case of GAC and BRH, the 2,4-D removal percentage increased significantly upon increasing the adsorbent dosage and temperature and decreased upon increasing the initial 2,4-D concentration and pH. The results showed that the contact time and temperature were not important as regards the adsorption efficiency of 2,4-D by MWCNTs, whereas rapid removal of 2,4-D from simulated wastewater was achieved within the first 5 min of contact with the MWCNTs. The results confirmed that the Freundlich isotherm model with the highest coefficient of determination (R

Indexed as

Nanotubes, Carbon2,4-Dichlorophenoxyacetic AcidAdsorptionCharcoalHerbicidesHydrogen-Ion ConcentrationKineticsTemperatureWastewaterWater Pollutants, ChemicalWater Purification2,4-Dichlorophenoxyacetic AcidbiocharCharcoalHerbicidesNanotubes, CarbonWastewaterWater Pollutants, Chemical2,4-Dichlorophenoxyacetic acid adsorptionCentral composite designDrainage waterRate of return methodResponse surface methodology

Identifiers

PMID30291615

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