Evidence map›Paper›PMID 33047265›Full record

ArticleEnvironmental science and pollution research international2021

Removal of ammonia nitrogen from water by mesoporous carbon electrode-based membrane capacitance deionization.

Guiju Li, Yaning Cao, Zhen Zhang, Linlin Hao

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2021. 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
1.0field-weighted citation impact, top 26% of its field
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

1 citing paper in PubMed, 19 citations in OpenAlex.

  1. Review
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

4 authors at 1 institution in 1 country.

Guiju LiCollege of Marine and Environmental Sciences, Tianjin University of Science & Technology, Tianjin, 300457, People's Republic of China.
Yaning CaoCollege of Marine and Environmental Sciences, Tianjin University of Science & Technology, Tianjin, 300457, People's Republic of China.
Zhen ZhangCollege of Marine and Environmental Sciences, Tianjin University of Science & Technology, Tianjin, 300457, People's Republic of China.
Linlin HaoCollege of Marine and Environmental Sciences, Tianjin University of Science & Technology, Tianjin, 300457, People's Republic of China. xilan.2009@163.com.ORCID http://orcid.org/0000-0002-2646-6621
Tianjin University of Science and Technology · CN

Funding

Tianjin Education Commission Project 2019KJ218Tianjin Natural Science Foundation 17JCTPJC54300
6 · The paper itself

Abstract

The removal of ammonia nitrogen from wastewater is always a focus in current water treatment. In this study, a combination of mesoporous carbon electrode and selective ion exchange membrane was used to assemble a membrane capacitor deionization system (MCDI). The optimal process parameters were determined as follows: the plate spacing was 1 mm, the voltage was 1.2 V, and the flow rate was 23.8 mL/min. Under the optimal conditions, the removal efficiency of ammonia nitrogen can reach more than 80%. The quasi-first order kinetics and Langmuir adsorption isotherm model can well describe the adsorption process of MCDI. The nature of physical adsorption between ammonia nitrogen cations and mesoporous carbon electrode was demonstrated by the calculation of activation energy and thermodynamic parameters. Moreover, 1500 mg/L NH

Indexed as

CarbonWater PurificationAdsorptionAmmoniaElectrodesNitrogenWastewaterWaterAmmoniaCarbonNitrogenWastewaterWaterAmmonia nitrogenFree energyKineticsMembrane capacitance deionizationMesoporous carbon electrodeThe authors confirm that the work described has not been published before.

Identifiers

PMID33047265
OpenAlexW3092101506

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.