Evidence map›Paper›PMID 31193382›Full record

ArticleMethodsX2019

Optimization of saline wastewater treatment using electrochemical oxidation process: Prediction by RSM method.

Mohammad Darvishmotevalli, Ahmad Zarei, Maryam Moradnia, Mohammad Noorisepehr, Hamed Mohammadi

Abstract read
In one paragraph

Article in MethodsX, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Caffeine removal using Elaeis guineensis activated carbon: adsorption and RSM studies.Environmental science and pollution research international · 2020
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Mohammad DarvishmotevalliDepartment of Environmental Health Engineering, School of Health, Isfahan University of Medical Sciences, Isfahan, Iran.
Ahmad ZareiDepartment of Environmental Health Engineering, Faculty of Health, Social Development and Health Promotion Research Center, Gonabad University of Medical Sciences, Gonabad, Iran.
Maryam MoradniaDepartment of Health Research Center, Kurdistan University of Medical Sciences, Sanandaj, Iran.
Mohammad NoorisepehrDepartment of Environmental Health Engineering, Public Health School, Alborz University of Medical Sciences, Alborz, Iran.
Hamed MohammadiAssistant Professor, Torbat Jam Faculty of Medical Sciences, Torbat jam, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Response surface methodology (RSM) was applied to find the optimum parameters for COD and TOC removal from saline wastewaters using electrochemical oxidation process. The independent variables considered were reaction time, pH, salt concentration, and voltage. Optimization of parameters was performed by analysis of variance (ANOVA). Quadratic regression equation was suggested as a model for prediction of chemical oxygen demand (COD) and total organic carbon (TOC) removal efficiency. The results indicated that the COD and TOC removal efficiencies at the optimal conditions of pH 7.69, reaction time of 30.71 min, salt content of 30. 94 g/L and voltage of 7.41 V were 91.78% and 68.49%, respectively. In terms of COD and TOC removal efficiency, the coefficients of determination were found to be 0.95 and 0.94, respectively. This study suggests that electro-oxidation is an effective process in decreasing COD and TOC from saline wastewaters. Further, RSM was a suitable technique for optimization of the variables involved in COD and TOC removal through electro-oxidation process. •The findings demonstrate that response surface methodology is a good tool for the optimization of parameters of the experimental data.•A quadratic model was suggested as a good model for COD and TOC removal prediction.•The findings proved good agreement between the experimental data and the predicted equation.

Indexed as

Electrochemical oxidationOptimizationOptimization of saline wastewater treatment using electrochemical oxidation process: Prediction by RSM methodRSMSaline wastewater

Identifiers

PMID31193382
PMCPMC6527917

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.