Evidence map›Paper›PMID 39392505›Full record

ArticleAnalytical and bioanalytical chemistry2024

Synthesis and characterization of molecularly imprinted polymer nanoparticles against porcine circovirus type 2 viral-like particles.

Jutapak Klangprapan, Wisnu Arfian A Sudjarwo, Peter A Lieberzeit, Kiattawee Choowongkomon

Abstract read
In one paragraph

Article in Analytical and bioanalytical chemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Jutapak KlangprapanGenetic Engineering Interdisciplinary Program, Graduate School, Kasetsart University, 50 Ngam Wong Wan Road, Chatuchak, Bangkok, 10900, Thailand.ORCID http://orcid.org/0000-0002-6745-2082
Wisnu Arfian A SudjarwoUniversity of Vienna, Faculty for Chemistry, Department of Physical Chemistry, Waehringer Strasse 42, A-1090, Wien, Austria.ORCID http://orcid.org/0009-0004-1594-911X
Peter A LieberzeitUniversity of Vienna, Faculty for Chemistry, Department of Physical Chemistry, Waehringer Strasse 42, A-1090, Wien, Austria. Peter.Lieberzeit@univie.ac.at.ORCID http://orcid.org/0000-0003-1596-0584
Kiattawee ChoowongkomonDepartment of Biochemistry, Faculty of Science, Kasetsart University, 50 Ngam Wong Wan Road, Chatuchak, Bangkok, 10900, Thailand. kiattawee.c@ku.th.ORCID http://orcid.org/0000-0002-2421-7859

Funding

Kasetsart University FF(KU)25.64Thailand Research Fund PHD60I0086
6 · The paper itself

Abstract

PCV2 is a significant epidemic agricultural pathogen that causes a variety of swine diseases. PCV2 infections have significant economic impact on the swine industry, making effective strategies for rapid detection of PCV2 in pigs essential. Herein, we report on the synthesis of the so-called nano-MIPs which can be utilized for molecular recognition of PCV2. The morphology and structure of nano-MIPs were characterized using scanning electron microscopy (SEM). Nano-MIPs are spherical with sizes around 120-150 nm. Binding experiments demonstrate that the fluorescence intensity of PCV2 samples decreases proportionally to increasing the concentration of nano-MIPs due to quenching, while non-imprinted polymer nanoparticles (nano-NIPs) do not affect the signal. The Stern-Volmer constant of nano-MIPs binding to PCV2 was 1.3 × 10

Indexed as

CircovirusMolecularly Imprinted PolymersNanoparticlesAnimalsCircoviridae InfectionsLimit of DetectionMolecular ImprintingQuartz Crystal Microbalance TechniquesSwineSwine DiseasesMolecularly Imprinted PolymersFluorescence quenchingMolecular imprintingNanoparticlesPorcine circovirus type 2QCM analysis

Identifiers

PMID39392505
PMCPMC11584434

What OpenQuestion holds

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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.