Evidence map›Paper›PMID 35494786›Full record

ArticleRSC advances2021

The selective recognition mechanism of a novel highly hydrophobic ion-imprinted polymer towards Cd(ii) and its application in edible vegetable oil.

Hui Cao, Pu Yang, Tai Ye, Min Yuan, Jinsong Yu, Xiuxiu Wu, Fengqin Yin, Yan Li, Fei Xu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in RSC advances, 2021. 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
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

9 authors.

Hui CaoSchool of Medical Instrument and Food Engineering, Shanghai Engineering Research Center for Food Rapid Detection, University of Shanghai for Science and Technology P. O. Box 454, No. 516, Jungong Road Shanghai 200093 P. R. China xufei8135@126.com +86-21-55271117 +86-21-55271117.
Pu YangSchool of Medical Instrument and Food Engineering, Shanghai Engineering Research Center for Food Rapid Detection, University of Shanghai for Science and Technology P. O. Box 454, No. 516, Jungong Road Shanghai 200093 P. R. China xufei8135@126.com +86-21-55271117 +86-21-55271117.
Tai YeSchool of Medical Instrument and Food Engineering, Shanghai Engineering Research Center for Food Rapid Detection, University of Shanghai for Science and Technology P. O. Box 454, No. 516, Jungong Road Shanghai 200093 P. R. China xufei8135@126.com +86-21-55271117 +86-21-55271117.ORCID https://orcid.org/0000-0002-7789-6920
Min YuanSchool of Medical Instrument and Food Engineering, Shanghai Engineering Research Center for Food Rapid Detection, University of Shanghai for Science and Technology P. O. Box 454, No. 516, Jungong Road Shanghai 200093 P. R. China xufei8135@126.com +86-21-55271117 +86-21-55271117.
Jinsong YuSchool of Medical Instrument and Food Engineering, Shanghai Engineering Research Center for Food Rapid Detection, University of Shanghai for Science and Technology P. O. Box 454, No. 516, Jungong Road Shanghai 200093 P. R. China xufei8135@126.com +86-21-55271117 +86-21-55271117.
Xiuxiu WuSchool of Medical Instrument and Food Engineering, Shanghai Engineering Research Center for Food Rapid Detection, University of Shanghai for Science and Technology P. O. Box 454, No. 516, Jungong Road Shanghai 200093 P. R. China xufei8135@126.com +86-21-55271117 +86-21-55271117.
Fengqin YinSchool of Medical Instrument and Food Engineering, Shanghai Engineering Research Center for Food Rapid Detection, University of Shanghai for Science and Technology P. O. Box 454, No. 516, Jungong Road Shanghai 200093 P. R. China xufei8135@126.com +86-21-55271117 +86-21-55271117.
Yan LiSchool of Medical Instrument and Food Engineering, Shanghai Engineering Research Center for Food Rapid Detection, University of Shanghai for Science and Technology P. O. Box 454, No. 516, Jungong Road Shanghai 200093 P. R. China xufei8135@126.com +86-21-55271117 +86-21-55271117.
Fei XuSchool of Medical Instrument and Food Engineering, Shanghai Engineering Research Center for Food Rapid Detection, University of Shanghai for Science and Technology P. O. Box 454, No. 516, Jungong Road Shanghai 200093 P. R. China xufei8135@126.com +86-21-55271117 +86-21-55271117.ORCID https://orcid.org/0000-0001-7745-2855

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Edible vegetable oils are easily contaminated by heavy metals, resulting in the oxidative degradation of oils and various health effects on humans. Therefore, it is very important to develop a rapid and efficient method to extract trace heavy metals from vegetable oils. In this work, a highly hydrophobic ion-imprinted polymer (IIP) was synthesized on a novel raspberry (RS)-like particle surface. The synthesized IIP@RS was characterized and used in solid-phase extraction (SPE) for the selective and fast adsorption of Cd(ii) from vegetable oils. The results showed that IIP was successfully coated onto RS particles with a high specific surface area (458.7 m

Identifiers

PMID35494786
PMCPMC9042718

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.