Evidence map›Paper›PMID 37792070›Full record

ArticleAnalytical and bioanalytical chemistry2023

High-throughput microfluidic chip with silica gel-C18 channels for cyclotide separation.

Aliakbar Ebrahimi, Reza Didarian, Hamed Ghorbanpoor, Fatma Dogan Guzel, Hossein Hashempour, Huseyin Avci

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In one paragraph

Article in Analytical and bioanalytical chemistry, 2023. 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
–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

2 citing papers in PubMed.

  1. Review
  2. 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

6 authors.

Aliakbar EbrahimiCellular Therapy and Stem Cell Production Application and Research Center (ESTEM), Eskişehir Osmangazi University, Eskişehir, Turkey.
Reza DidarianDepartment of Biomedical Engineering, Ankara Yildirim Beyazit University, Ankara, Turkey.
Hamed GhorbanpoorCellular Therapy and Stem Cell Production Application and Research Center (ESTEM), Eskişehir Osmangazi University, Eskişehir, Turkey.
Fatma Dogan GuzelDepartment of Biomedical Engineering, Ankara Yildirim Beyazit University, Ankara, Turkey.
Hossein HashempourDepartment of Chemistry, Faculty of Basic Sciences, Azarbaijan Shahid Madani University, Tabriz, Iran.
Huseyin AvciCellular Therapy and Stem Cell Production Application and Research Center (ESTEM), Eskişehir Osmangazi University, Eskişehir, Turkey. havci@ogu.edu.tr.ORCID http://orcid.org/0000-0002-2475-1963

Funding

Ministry of Science Research and Technology IRTU-99-24-800Türkiye Bilimsel ve Teknolojik Araştırma Kurumu 119N608
6 · The paper itself

Abstract

Over the past two decades, microfluidic-based separations have been used for the purification, isolation, and separation of biomolecules to overcome difficulties encountered by conventional chromatography-based methods including high cost, long processing times, sample volumes, and low separation efficiency. Cyclotides, or cyclic peptides used by some plant families as defense agents, have attracted the interest of scientists because of their biological activities varying from antimicrobial to anticancer properties. The separation process has a critical impact in terms of obtaining pure cyclotides for drug development strategies. Here, for the first time, a mimic of the high-performance liquid chromatography (HPLC) on microfluidic chip strategy was used to separate the cyclotides. In this regard, silica gel-C18 was synthesized and characterized by Fourier-transform infrared spectroscopy (FTIR) and proton nuclear magnetic resonance (

Indexed as

CyclotidesViolaAmino Acid SequenceMicrofluidicsPlant ExtractsSilica GelCyclotidesPlant ExtractsSilica GelCyclotidesMicrofluidic separationMimic HPLC on a chipSilica gel-C18Viola ignobilis

Identifiers

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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.