Evidence map›Paper›PMID 28255174›Full record

ArticleScientific reports2017

Effective Removal of Tetracycline Antibiotics from Water using Hybrid Carbon Membranes.

Ming-Kai Liu, Ying-Ya Liu, Dan-Dan Bao, Gen Zhu, Guo-Hai Yang, Jun-Feng Geng, Hai-Tao Li

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Robust CA-GO-TiOPolymers · 2024
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  11. Transformation of novel TiOFRSC advances · 2020
    Article
  12. Article
  13. 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

7 authors.

Ming-Kai LiuSchool of Chemistry and Chemical Engineering, Jiangsu Normal University, Xuzhou 221116, China.
Ying-Ya LiuSchool of Chemistry and Chemical Engineering, Jiangsu Normal University, Xuzhou 221116, China.
Dan-Dan BaoSchool of Chemistry and Chemical Engineering, Jiangsu Normal University, Xuzhou 221116, China.
Gen ZhuSchool of Chemistry and Chemical Engineering, Jiangsu Normal University, Xuzhou 221116, China.
Guo-Hai YangSchool of Chemistry and Chemical Engineering, Jiangsu Normal University, Xuzhou 221116, China.
Jun-Feng GengInstitute for Renewable Energy and Environmental Technologies, University of Bolton, Bolton BL3 5AB, U.K.
Hai-Tao LiSchool of Chemistry and Chemical Engineering, Jiangsu Normal University, Xuzhou 221116, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antibiotic residues in drinking water have become a global problem, especially in developing countries. However, effective purification of water contaminated by antibiotics remains a great challenge. Here, we investigated the removing of tetracycline by carbon nanomaterials with different structures and surface functionalities. The result shows that a membrane of thick graphene oxide (GO) and activated carbon (AC) with a thickness of 15 μm can effectively remove 98.9% of tetracycline hydrochloride (TCH) from water by vacuum filtration. Structural analysis indicated that the AC nanoparticles were uniformly inserted into the GO interstitial sites without any aggregations. Also, GO sheets were loosened by the encapsulated AC nanoparticles, leading to the formation of numerous tiny pores (3-10 nm) that acted as channels for fluid passage, whereas the carbons and chemical groups on the GO surface adsorbed TCH. GO/AC membrane exhibits the best adsorption efficiency among the investigated materials, including pure GO, AC, carbon nanotube (CNT), and CNT/AC and GO/CNT hybrids.

Indexed as

Anti-Bacterial AgentsCharcoalGraphiteTetracyclineWater Pollutants, ChemicalAdsorptionFiltrationWater PurificationAnti-Bacterial AgentsCharcoalGraphiteTetracyclineWater Pollutants, Chemical

Identifiers

PMID28255174
PMCPMC5334645

What OpenQuestion holds

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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.