Evidence map›Paper›PMID 29299866›Full record

ArticleEnvironmental science and pollution research international2018

Nitrobenzene reduction using nanoscale zero-valent iron supported by polystyrene microspheres with different surface functional groups.

Lixia Li, Shasha Zhang, Bing Lu, Fang Zhu, Jian Cheng, Zhihao Sun

Abstract read
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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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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.

  1. 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

6 authors.

Lixia LiSchool of Environment and Safety Engineering, Jiangsu University, Zhenjiang, 212013, China. qingpipa@ujs.edu.cn.ORCID http://orcid.org/0000-0003-4579-8637
Shasha ZhangSchool of Environment and Safety Engineering, Jiangsu University, Zhenjiang, 212013, China.
Bing LuSchool of Environment and Safety Engineering, Jiangsu University, Zhenjiang, 212013, China.
Fang ZhuSchool of Environment and Safety Engineering, Jiangsu University, Zhenjiang, 212013, China.
Jian ChengCollege of Education, Zhejiang University of Technology, Hangzhou, 310014, China.
Zhihao SunSchool of Environment and Safety Engineering, Jiangsu University, Zhenjiang, 212013, China.

Funding

National Natural Science Foundation of China 51508233
6 · The paper itself

Abstract

Three polystyrene (PS) resin microspheres supported nanoscale zero-valent iron (nZVI), i.e., nZVI@PS, nZVI@PS-Cl, and nZVI@PS-N, were prepared and characterized by FT-IR, XPS, SEM, EDS, and weighing method. The functional groups on the carriers showed obvious influence on the loading quantity, the micro morphology, and the reduction efficiency of these supported nZVI. The best hybrid reducer was nZVI@PS-N. The load quantity of nZVI was 0.2476 g/g, and some of them were dispersed and the others remained as particles (≤ 50 nm). At optimal reaction conditions, i.e., initial solution pH = 3, 25 °C, 100 r/min stirring, 99% nitrobenzene (NB) in 250 mL 123.1 mg/L NB solution could be totally reduced into AN by 1.31 g fresh nZVI@PS-N within 20 min. The excellent reduction efficiency and fast degradation rate of nZVI@PS-N were mainly attributed to the synergistic effects between the good adsorption property of its carrier and the high reduction activity of nZVI particles. NZVI@PS-N was reproducible and recycled, and 90.6% degradation ratio of NB was till obtained at its seventh recycle. The results showed that nZVI@PS-N had high potential practical application value in the reductive degradation and emergency rescue of nitrobenzene pollutant.

Indexed as

MicrospheresAdsorptionHydrogen-Ion ConcentrationIronNitrobenzenesPolystyrenesRecyclingTemperatureWater Pollutants, ChemicalIronnitrobenzeneNitrobenzenesPolystyrenesWater Pollutants, ChemicalNitrobenzenePolystyrene resin microsphereReductive degradationSupported nanoscale zero-valent ironSurface functionalization

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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.