Evidence map›Paper›PMID 32316308›Full record

ArticleMolecules (Basel, Switzerland)2020

Differentiation of South African Game Meat Using Near-Infrared (NIR) Spectroscopy and Hierarchical Modelling.

Kiah Edwards, Marena Manley, Louwrens C Hoffman, Anel Beganovic, Christian G Kirchler, Christian W Huck, Paul J Williams

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

9 citing papers in PubMed, 21 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

7 authors at 2 institutions in 2 countries.

Kiah EdwardsDepartment of Food Science, Stellenbosch University, Private Bag X1, Matieland, Stellenbosch 7602, South Africa.ORCID 0000-0003-0718-3316
Marena ManleyDepartment of Food Science, Stellenbosch University, Private Bag X1, Matieland, Stellenbosch 7602, South Africa.ORCID 0000-0001-7581-7208
Louwrens C HoffmanDepartment of Animal Sciences, Stellenbosch University, Private Bag X1, Matieland, Stellenbosch 7602, South Africa.ORCID 0000-0003-2736-1933
Anel BeganovicInstitute of Analytical Chemistry and Radiochemistry, CCB-Center of Chemistry and Biomedicine, Innrain 80/82, 6020 Innsbruck, Austria.
Christian G KirchlerInstitute of Analytical Chemistry and Radiochemistry, CCB-Center of Chemistry and Biomedicine, Innrain 80/82, 6020 Innsbruck, Austria.ORCID 0000-0003-0964-6820
Christian W HuckInstitute of Analytical Chemistry and Radiochemistry, CCB-Center of Chemistry and Biomedicine, Innrain 80/82, 6020 Innsbruck, Austria.ORCID 0000-0002-6272-3242
Paul J WilliamsDepartment of Food Science, Stellenbosch University, Private Bag X1, Matieland, Stellenbosch 7602, South Africa.ORCID 0000-0002-6014-2049
Stellenbosch University · ZAQueensland Health · AU

Funding

National Research Foundation (NRF) 84633South African Department of Science and Technology 106172South African Research Chairs Initiative (SARChI) 94031
6 · The paper itself

Abstract

Near-infrared (NIR) spectroscopy, combined with multivariate data analysis techniques, was used to rapidly differentiate between South African game species, irrespective of the treatment (fresh or previously frozen) or the muscle type. These individual classes (fresh; previously frozen; muscle type) were also determined per species, using hierarchical modelling. Spectra were collected with a portable handheld spectrophotometer in the 908-1676-nm range. With partial least squares discriminant analysis models, we could differentiate between the species with accuracies ranging from 89.8%-93.2%. It was also possible to distinguish between fresh and previously frozen meat (90%-100% accuracy). In addition, it was possible to distinguish between ostrich muscles (100%), as well as the forequarters and hindquarters of the zebra (90.3%) and springbok (97.9%) muscles. The results confirm NIR spectroscopy's potential as a rapid and non-destructive method for species identification, fresh and previously frozen meat differentiation, and muscle type determination.

Indexed as

AnimalsDiscriminant AnalysisEquidaeFreezingLeast-Squares AnalysisMeatSpectroscopy, Near-Infraredchemometricsgame meathierarchical modellingmeat fraudnear-infrared spectroscopypartial least squares discriminant analysis (PLS-DA)spectral analysis

Identifiers

PMID32316308
PMCPMC7221759
OpenAlexW3016313739

What OpenQuestion holds

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LicenceCC BY
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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.