Evidence map›Paper›PMID 37761066›Full record

ReviewFoods (Basel, Switzerland)2023

Recent Advances in Electrochemical Enzyme-Based Biosensors for Food and Beverage Analysis.

Sudarma Dita Wijayanti, Lidiia Tsvik, Dietmar Haltrich

Abstract readReview
In one paragraph

Review in Foods (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Review
  11. Review
  12. Article
  13. Novel Basidiomycetous Alcohol Oxidase fromInternational journal of molecular sciences · 2024
    Article
  14. Article
  15. Review
  16. Article
  17. 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

3 authors.

Sudarma Dita WijayantiLaboratory of Food Biotechnology, Department of Food Science and Technology, University of Natural Resources and Life Sciences Vienna, Muthgasse 11, A-1190 Wien, Austria.ORCID 0000-0002-4167-0751
Lidiia TsvikLaboratory of Food Biotechnology, Department of Food Science and Technology, University of Natural Resources and Life Sciences Vienna, Muthgasse 11, A-1190 Wien, Austria.ORCID 0000-0002-0339-3378
Dietmar HaltrichLaboratory of Food Biotechnology, Department of Food Science and Technology, University of Natural Resources and Life Sciences Vienna, Muthgasse 11, A-1190 Wien, Austria.ORCID 0000-0002-8722-8176

Funding

ASEA-Uninet ICM-2019-14388Austrian Agency for International Cooperation in Education and Research ICM-2019-14388FWF Austrian Science Fund P 33545FWF Austrian Science Fund W1224Ministry of Education and Culture ICM-2019-14388
6 · The paper itself

Abstract

Food analysis and control are crucial aspects in food research and production in order to ensure quality and safety of food products. Electrochemical biosensors based on enzymes as the bioreceptors are emerging as promising tools for food analysis because of their high selectivity and sensitivity, short analysis time, and high-cost effectiveness in comparison to conventional methods. This review provides the readers with an overview of various electrochemical enzyme-based biosensors in food analysis, focusing on enzymes used for different applications in the analysis of sugars, alcohols, amino acids and amines, and organic acids, as well as mycotoxins and chemical contaminants. In addition, strategies to improve the performance of enzyme-based biosensors that have been reported over the last five years will be discussed. The challenges and future outlooks for the food sector are also presented.

Indexed as

amperometryelectrochemical biosensorenzymefood analysis

Identifiers

PMID37761066
PMCPMC10529900

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.