Evidence map›Paper›PMID 33435278›Full record

ArticleMolecules (Basel, Switzerland)2021

AFM and FTIR Investigation of the Effect of Water Flow on Horseradish Peroxidase.

Yuri D Ivanov, Tatyana O Pleshakova, Ivan D Shumov, Andrey F Kozlov, Anastasia A Valueva, Irina A Ivanova, Maria O Ershova, Dmitry I Larionov, Victor V Repnikov, Nina D Ivanova and 3 more

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.3field-weighted citation impact, top 23% 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

5 citing papers in PubMed, 19 citations in OpenAlex.

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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

13 authors at 2 institutions in 1 country.

Yuri D IvanovInstitute of Biomedical Chemistry, Moscow 119121, Russia.
Tatyana O PleshakovaInstitute of Biomedical Chemistry, Moscow 119121, Russia.
Ivan D ShumovInstitute of Biomedical Chemistry, Moscow 119121, Russia.
Andrey F KozlovInstitute of Biomedical Chemistry, Moscow 119121, Russia.
Anastasia A ValuevaInstitute of Biomedical Chemistry, Moscow 119121, Russia.
Irina A IvanovaInstitute of Biomedical Chemistry, Moscow 119121, Russia.
Maria O ErshovaInstitute of Biomedical Chemistry, Moscow 119121, Russia.
Dmitry I LarionovInstitute of Biomedical Chemistry, Moscow 119121, Russia.ORCID 0000-0002-5961-7182
Victor V RepnikovBruker Ltd., Moscow 119017, Russia.
Nina D IvanovaSkryabin Moscow State Academy of Veterinary Medicine and Biotechnology, Moscow 109472, Russia.
Vadim Yu TaturFoundation of Perspective Technologies and Novations, Moscow 115682, Russia.
Igor N StepanovFoundation of Perspective Technologies and Novations, Moscow 115682, Russia.
Vadim S ZiborovInstitute of Biomedical Chemistry, Moscow 119121, Russia.
Institute of Biomedical Chemistry · RUMoscow State Academy of Veterinary Medicine and Biotechnology named after Skryabin · RU

Funding

Ministry of Science and Higher Education of the Russian Federation within the framework of state support for the creation and development of World-Class Research Centers "Digital biodesign and personalized healthcare" 075-15-2020-913
6 · The paper itself

Abstract

Atomic force microscopy (AFM)-based fishing is a promising method for the detection of low-abundant proteins. This method is based on the capturing of the target proteins from the analyzed solution onto a solid substrate, with subsequent counting of the captured protein molecules on the substrate surface by AFM. Protein adsorption onto the substrate surface represents one of the key factors determining the capturing efficiency. Accordingly, studying the factors influencing the protein adsorbability onto the substrate surface represents an actual direction in biomedical research. Herein, the influence of water motion in a flow-based system on the protein adsorbability and on its enzymatic activity has been studied with an example of horseradish peroxidase (HRP) enzyme by AFM, attenuated total reflection Fourier-transform infrared spectroscopy (ATR-FTIR) and conventional spectrophotometry. In the experiments, HRP solution was incubated in a setup modeling the flow section of a biosensor communication. The measuring cell with the protein solution was placed near a coiled silicone pipe, through which water was pumped. The adsorbability of the protein onto the surface of the mica substrate has been studied by AFM. It has been demonstrated that incubation of the HRP solution near the coiled silicone pipe with flowing water leads to an increase in its adsorbability onto mica. This is accompanied by a change in the enzyme's secondary structure, as has been revealed by ATR-FTIR. At the same time, its enzymatic activity remains unchanged. The results reported herein can be useful in the development of models describing the influence of liquid flow on the properties of enzymes and other proteins. The latter is particularly important for the development of biosensors for biomedical applications-particularly for serological analysis, which is intended for the early diagnosis of various types of cancer and infectious diseases. Our results should also be taken into account in studies of the effects of protein aggregation on hemodynamics, which plays a key role in human body functioning.

Indexed as

Biosensing TechniquesHorseradish PeroxidaseHumansMicroscopy, Atomic ForceProtein Structure, SecondarySiliconesSpectroscopy, Fourier Transform InfraredWaterHorseradish PeroxidaseSiliconesWaterelectromagnetic fieldhorseradish peroxidaseprotein adsorptionprotein aggregationtriboelectric effect

Identifiers

PMID33435278
PMCPMC7826892
OpenAlexW3120961573

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.