Evidence map›Paper›PMID 35888963›Full record

ArticleMicromachines2022

Droplet Microfluidic Device for Chemoenzymatic Sensing.

Anton S Yakimov, Ivan A Denisov, Anton S Bukatin, Kirill A Lukyanenko, Kirill I Belousov, Igor V Kukhtevich, Elena N Esimbekova, Anatoly A Evstrapov, Peter I Belobrov

Open access · goldAbstract read
In one paragraph

Article in Micromachines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. 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

9 authors at 5 institutions in 2 countries.

Anton S YakimovLaboratory of Physical and Chemical Technologies for the Development of Hard-to-Recover Hydrocarbon Reserves, Siberian Federal University, 660041 Krasnoyarsk, Russia.ORCID 0000-0003-4919-9877
Ivan A DenisovLaboratory of Physical and Chemical Technologies for the Development of Hard-to-Recover Hydrocarbon Reserves, Siberian Federal University, 660041 Krasnoyarsk, Russia.ORCID 0000-0002-6647-9275
Anton S BukatinLaboratory of Renewable Energy Sources, Alferov University, 194021 Saint Petersburg, Russia.ORCID 0000-0002-5459-1438
Kirill A LukyanenkoLaboratory of Bioluminescent Biotechnologies, Siberian Federal University, 660041 Krasnoyarsk, Russia.ORCID 0000-0002-1115-6735
Kirill I BelousovLaboratory of Renewable Energy Sources, Alferov University, 194021 Saint Petersburg, Russia.ORCID 0000-0002-1069-163X
Igor V KukhtevichInstitute of Silicate Chemistry of RAS, 199034 Saint Petersburg, Russia.ORCID 0000-0001-5734-7345
Elena N EsimbekovaInstitute of Biophysics SB RAS, 660036 Krasnoyarsk, Russia.ORCID 0000-0002-2560-3575
Anatoly A EvstrapovInstitute for Analytical Instrumentation RAS, 194021 Saint Petersburg, Russia.ORCID 0000-0003-4495-8096
Peter I BelobrovDepartment of Biophysics, Siberian Federal University, 660041 Krasnoyarsk, Russia.ORCID 0000-0003-4102-2997
Siberian Federal University · RUInstitute for Analytical Instrumentation · RUHelmholtz Zentrum München · DEInstitute of Biophysics · RUKrasnoyarsk State Medical University · RU

Funding

Russian Science Foundation 20-74-10117
6 · The paper itself

Abstract

The rapid detection of pollutants in water can be performed with enzymatic probes, the catalytic light-emitting activity of which decreases in the presence of many types of pollutants. Herein, we present a microfluidic system for continuous chemoenzymatic biosensing that generates emulsion droplets containing two enzymes of the bacterial bioluminescent system (luciferase and NAD(P)H:FMN-oxidoreductase) with substrates required for the reaction. The developed chip generates "water-in-oil" emulsion droplets with a volume of 0.1 μL and a frequency of up to 12 drops per minute as well as provides the efficient mixing of reagents in droplets and their distancing. The bioluminescent signal from each individual droplet was measured by a photomultiplier tube with a signal-to-noise ratio of up to 3000/1. The intensity of the luminescence depended on the concentration of the copper sulfate with the limit of its detection of 5 μM. It was shown that bioluminescent enzymatic reactions could be carried out in droplet reactors in dispersed streams. The parameters and limitations required for the bioluminescent reaction to proceed were also studied. Hereby, chemoenzymatic sensing capabilities powered by a droplet microfluidics manipulation technique may serve as the basis for early-warning online water pollution systems.

Indexed as

bioluminescencechemoenzymatic systemdroplet microfluidicsluciferasesensing

Identifiers

PMID35888963
PMCPMC9325247
OpenAlexW4286502886

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.