Evidence map›Paper›PMID 32827261›Full record

ArticleMikrochimica acta2020

Magnetic porous carbon derived from Zn/Co metal-organic framework as an adsorbent for extraction and determination of carbamates.

Meng Wang, Jingjing Wang, Kangkang Wang, Tingxiang Chen, Jide Wang

Abstract read
PubMed Publisher
In one paragraph

Article in Mikrochimica acta, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.9field-weighted citation impact, top 17% 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

3 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
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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

5 authors at 1 institution in 1 country.

Meng WangKey Laboratory of Oil and Gas Fine Chemicals, Ministry of Education & Xinjiang Uygur Autonomous Region, College of Chemistry and Chemical Engineering, Xinjiang University, Urumqi, 830046, People's Republic of China.
Jingjing WangTechnical Center of Urumqi Customs, Urumqi, 830063, People's Republic of China.
Kangkang WangKey Laboratory of Oil and Gas Fine Chemicals, Ministry of Education & Xinjiang Uygur Autonomous Region, College of Chemistry and Chemical Engineering, Xinjiang University, Urumqi, 830046, People's Republic of China.
Tingxiang ChenKey Laboratory of Oil and Gas Fine Chemicals, Ministry of Education & Xinjiang Uygur Autonomous Region, College of Chemistry and Chemical Engineering, Xinjiang University, Urumqi, 830046, People's Republic of China.
Jide WangKey Laboratory of Oil and Gas Fine Chemicals, Ministry of Education & Xinjiang Uygur Autonomous Region, College of Chemistry and Chemical Engineering, Xinjiang University, Urumqi, 830046, People's Republic of China. awangjd@sina.cn.
Xinjiang University · CN

Funding

National Natural Science Foundation of China 21861035Xinjiang Uygur Autonomous Region Natural Science Foundation 2018D01C083
6 · The paper itself

Abstract

A novel magnetic porous carbon with a high specific surface and magnetization saturation, derived from a Zn/Co-MOF-5, was fabricated by direct carbonization of Zn/Co-MOF-5 without the need of additional carbon precursors under optimum pyrolysis temperature. The material was employed as an adsorbent for magnetic solid-phase extraction of four carbamates from water and tomato samples prior to high-performance liquid chromatography-tandem quadrupole mass spectrometry analysis. Under optimum conditions, the method displayed good linearity (r > 0.9987) within the concentration range 0.05-20 ng mL

Indexed as

HPLC-MS/MSMagnetic porous carbonMagnetic solid-phase extractionWater and tomato samplesZn/Co-MOF-5

Identifiers

PMID32827261
OpenAlexW3081135209

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.