Evidence map›Paper›PMID 33861604›Full record

ArticleLangmuir : the ACS journal of surfaces and colloids2021

Hydrated Ionic Liquids Boost the Trace Detection Capacity of Proteins on TiO

Yihui Dong, Aatto Laaksonen, Feng Huo, Qingwei Gao, Xiaoyan Ji

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Langmuir : the ACS journal of surfaces and colloids, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 35% 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

2 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Selective Separation of Highly Similar Proteins on Ionic Liquid-Loaded Mesoporous TiOLangmuir : the ACS journal of surfaces and colloids · 2022
    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

5 authors at 4 institutions in 2 countries.

Yihui DongBeijing Key Laboratory of Ionic Liquids Clean Process, CAS Key Laboratory of Green Process and Engineering, State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, P. R. China.ORCID 0000-0002-3912-4444
Aatto LaaksonenEnergy Engineering, Division of Energy Science, Luleå University of Technology, 97187 Luleå, Sweden.
Feng HuoBeijing Key Laboratory of Ionic Liquids Clean Process, CAS Key Laboratory of Green Process and Engineering, State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, P. R. China.ORCID 0000-0003-4397-2240
Qingwei GaoState Key Laboratory of Chemical Engineering and School of Chemical Engineering, East China University of Science and Technology, Shanghai 200237, P. R. China.ORCID 0000-0003-4690-1229
Xiaoyan JiEnergy Engineering, Division of Energy Science, Luleå University of Technology, 97187 Luleå, Sweden.
Institute of Process Engineering · CNEast China University of Science and Technology · CNLuleå University of Technology · SENanjing Tech University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Trace detection based on surface-enhanced Raman scattering (SERS) has attracted considerable attention, and exploiting efficient strategies to stretch the limit of detection and understanding the mechanisms on molecular level are of utmost importance. In this work, we use ionic liquids (ILs) as trace additives in a protein-TiO

Indexed as

Ionic LiquidsMolecular Dynamics SimulationSpectrum Analysis, RamanTitaniumIonic LiquidsTitaniumtitanium dioxide

Identifiers

PMID33861604
PMCPMC8154861
OpenAlexW3153102081

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.