Evidence map›Paper›PMID 30744203›Full record

ReviewMolecules (Basel, Switzerland)2019

Biosensors and Bioassays Based on Lipases, Principles and Applications, a Review.

Miroslav Pohanka

Open access · goldAbstract readReview
In one paragraph

Review in Molecules (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
5.4field-weighted citation impact, top 3% 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

19 citing papers in PubMed, 64 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Recent insight into the advances and prospects of microbial lipases and their potential applications in industry.International microbiology : the official journal of the Spanish Society for Microbiology · 2024
    Review
  7. Cold-Active Lipase from the Ice CaveMolecules (Basel, Switzerland) · 2024
    Article
  8. Review
  9. Review
  10. Article
  11. Review
  12. Article
  13. Cutinase ACut2 fromMicroorganisms · 2022
    Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. Review
  19. 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

1 author at 1 institution in 1 country.

Miroslav PohankaFaculty of Military Health Sciences, University of Defence, Trebesska 1575, CZ-500 01 Hradec Kralove, Czech Republic. miroslav.pohanka@gmail.com.ORCID 0000-0001-8804-8356
University of Defence · CZ

Funding

TACR TH03030336
6 · The paper itself

Abstract

Lipases are enzymes responsible for the conversion of triglycerides and other esterified substrates, they are involved in the basic metabolism of a wide number of organisms, from a simple microorganism and to mammals. They also have broad applicability in many fields from which industrial biotechnology, the production of cleaning agents, and pharmacy are the most important. The use of lipases in analytical chemistry where it can serve as a part of biosensors or bioassays is an application of growing interest and has become another important use. This review is focused on the description of lipases chemistry, their current applications and the methods for their assay measurement. Examples of bioassays and biosensors, including their physical and chemical principles, performance for specific substrates, and discussion of their relevance, are given in this work.

Indexed as

Biological AssayBiosensing TechniquesCatalysisElectrochemical TechniquesEnzyme ActivationHydrolysisLipaseLipaseamperometrybioassaybiorecognitionbiosensorcatalysisenzymeesterlipasenanoparticlenanostructurepotentiometryvoltammetry

Identifiers

PMID30744203
PMCPMC6384989
OpenAlexW2911654000

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.