Evidence map›Paper›PMID 35544536›Full record

ArticlePloS one2022

Spectral homogeneity of human platelets investigated by SERS.

Andrey Zyubin, Vladimir Rafalskiy, Mikhail Lopatin, Elizaveta Demishkevich, Ekaterina Moiseeva, Karina Matveeva, Igor Kon, Artemii Khankaev, Anna Kundalevich, Viktoria Butova and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PloS one, 2022. 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. Article
  2. 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

14 authors.

Andrey ZyubinREC «Fundamental and Applied Photonics, Nanophotonics», Immanuel Kant Baltic Federal University, Kaliningrad, Kaliningrad Region, Russia.ORCID 0000-0002-9766-1408
Vladimir RafalskiyREC «Clinical Trials Center», Immanuel Kant Baltic Federal University, Kaliningrad, Kaliningrad Region, Russia.
Mikhail LopatinREC «Fundamental and Applied Photonics, Nanophotonics», Immanuel Kant Baltic Federal University, Kaliningrad, Kaliningrad Region, Russia.ORCID 0000-0003-4379-5723
Elizaveta DemishkevichREC «Fundamental and Applied Photonics, Nanophotonics», Immanuel Kant Baltic Federal University, Kaliningrad, Kaliningrad Region, Russia.
Ekaterina MoiseevaREC «Fundamental and Applied Photonics, Nanophotonics», Immanuel Kant Baltic Federal University, Kaliningrad, Kaliningrad Region, Russia.
Karina MatveevaREC «Fundamental and Applied Photonics, Nanophotonics», Immanuel Kant Baltic Federal University, Kaliningrad, Kaliningrad Region, Russia.ORCID 0000-0003-2585-163X
Igor KonREC «Fundamental and Applied Photonics, Nanophotonics», Immanuel Kant Baltic Federal University, Kaliningrad, Kaliningrad Region, Russia.
Artemii KhankaevREC «Fundamental and Applied Photonics, Nanophotonics», Immanuel Kant Baltic Federal University, Kaliningrad, Kaliningrad Region, Russia.
Anna KundalevichREC «Fundamental and Applied Photonics, Nanophotonics», Immanuel Kant Baltic Federal University, Kaliningrad, Kaliningrad Region, Russia.
Viktoria ButovaREC «Fundamental and Applied Photonics, Nanophotonics», Immanuel Kant Baltic Federal University, Kaliningrad, Kaliningrad Region, Russia.ORCID 0000-0002-4621-9441
Leonard LipnevichREC «Fundamental and Applied Photonics, Nanophotonics», Immanuel Kant Baltic Federal University, Kaliningrad, Kaliningrad Region, Russia.
Ivan LyatunREC «Fundamental and Applied Photonics, Nanophotonics», Immanuel Kant Baltic Federal University, Kaliningrad, Kaliningrad Region, Russia.
Ilia SamusevREC «Fundamental and Applied Photonics, Nanophotonics», Immanuel Kant Baltic Federal University, Kaliningrad, Kaliningrad Region, Russia.
Valery BryukhanovREC «Fundamental and Applied Photonics, Nanophotonics», Immanuel Kant Baltic Federal University, Kaliningrad, Kaliningrad Region, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper describes a detailed study of the spectral homogeneity of human platelets using Surface-enhanced Raman spectroscopy (SERS). We used a combined approach based on multivariate methods as principal component analysis and pair correlation algorithms to investigate platelets spectral properties. The correlation coefficients for each sample have been calculated, and the average coefficient of determination has been estimated. The high degree of spectral homogeneity inside one probe and between them has been revealed. The prospects of obtained results usage for pathologies based on platelet conformations during cardiovascular diseases have been demonstrated.

Indexed as

Blood PlateletsSpectrum Analysis, RamanHumansPrincipal Component Analysis

Identifiers

PMID35544536
PMCPMC9094501

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Registered trials

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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.