Evidence map›Paper›PMID 29343778›Full record

ArticleScientific reports2018

Fumarate-based metal-organic frameworks as a new platform for highly selective removal of fluoride from brick tea.

Fei Ke, Chuanyi Peng, Tian Zhang, Mengran Zhang, Chengyan Zhou, Huimei Cai, Junfa Zhu, Xiaochun Wan

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

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  17. Recent Bio-Advances in Metal-Organic Frameworks.Molecules (Basel, Switzerland) · 2020
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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

8 authors.

Fei KeState Key Laboratory of Tea Plant Biology and Utilization, Anhui Agricultural University, Hefei, 230036, P.R. China.
Chuanyi PengState Key Laboratory of Tea Plant Biology and Utilization, Anhui Agricultural University, Hefei, 230036, P.R. China.
Tian ZhangDepartment of Applied Chemistry, Anhui Agricultural University, Hefei, 230036, P.R. China.
Mengran ZhangDepartment of Applied Chemistry, Anhui Agricultural University, Hefei, 230036, P.R. China.
Chengyan ZhouDepartment of Applied Chemistry, Anhui Agricultural University, Hefei, 230036, P.R. China.
Huimei CaiState Key Laboratory of Tea Plant Biology and Utilization, Anhui Agricultural University, Hefei, 230036, P.R. China.
Junfa ZhuNational Synchrotron Radiation Laboratory and Collaborative Innovation Center of Suzhou Nano Science and Technology, University of Science and Technology of China, Hefei, 230029, P.R. China.
Xiaochun WanState Key Laboratory of Tea Plant Biology and Utilization, Anhui Agricultural University, Hefei, 230036, P.R. China. xcwan@ahau.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adsorption and removal of fluoride from brick tea is very important but challenging. In this work, two fumarate-based metal-organic frameworks (MOFs) were synthesized for the selective removal of fluoride from brick tea infusion. MOFs were examined for adsorption time, effect of dose, and uptake capacity at different initial concentrations and temperatures. Remarkably, over 80% fluoride removal was achieved by MOF-801 within 5 min at room temperature, while no significant adsorption occurred for the catechins and caffeine in the brick tea infusion. Further, with the use of the Langmuir equation, the maximum fluoride uptake capacity for the nontoxic calcium fumarate (CaFu) MOF was calculated to be as high as 166.11 mg g

Indexed as

AdsorptionFluoridesFumaratesMetal-Organic FrameworksTeaTemperatureWater Purificationcalcium fumarateFluoridesFumaratesMetal-Organic FrameworksTea

Identifiers

PMID29343778
PMCPMC5772608

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.