Evidence map›Paper›PMID 33445458›Full record

ArticleSensors (Basel, Switzerland)2021

Standardized Extraction Techniques for Meat Analysis with the Electronic Tongue: A Case Study of Poultry and Red Meat Adulteration.

John-Lewis Zinia Zaukuu, Zoltan Gillay, Zoltan Kovacs

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Application of Omics in Donkey Meat Research: A Review.Animals : an open access journal from MDPI · 2025
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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.

John-Lewis Zinia ZaukuuDepartment of Measurement and Process Control, Faculty of Food Science, Szent István University, H-1118 Budapest, Hungary.ORCID 0000-0002-2058-4416
Zoltan GillayDepartment of Measurement and Process Control, Faculty of Food Science, Szent István University, H-1118 Budapest, Hungary.
Zoltan KovacsDepartment of Measurement and Process Control, Faculty of Food Science, Szent István University, H-1118 Budapest, Hungary.ORCID 0000-0003-0641-8830

Funding

European Social Fund EFOP-3.6.3-VEKOP-16-2017-00005
6 · The paper itself

Abstract

The electronic tongue (e-tongue) is an advanced sensor-based device capable of detecting low concentration differences in solutions. It could have unparalleled advantages for meat quality control, but the challenges of standardized meat extraction methods represent a backdrop that has led to its scanty application in the meat industry. This study aimed to determine the optimal dilution level of meat extract for e-tongue evaluations and also to develop three standardized meat extraction methods. For practicality, the developed methods were applied to detect low levels of meat adulteration using beef and pork mixtures and turkey and chicken mixtures as case studies. Dilution factor of 1%

Indexed as

PoultryAnimalsChemical FractionationChickensCookingElectronic NoseFood AnalysisFood ContaminationFrozen FoodsLeast-Squares AnalysisModels, StatisticalRed MeatTurkeysWaterWateradulterationchemometricsfraudmethodologypredictionsensors

Identifiers

PMID33445458
PMCPMC7827137

What OpenQuestion holds

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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.