Evidence map›Paper›PMID 31000779›Full record

ArticleScientific reports2019

Rapid detection and specific identification of offals within minced beef samples utilising ambient mass spectrometry.

Connor Black, Olivier P Chevallier, Kevin M Cooper, Simon A Haughey, Julia Balog, Zoltan Takats, Christopher T Elliott, Christophe Cavin

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

8 authors.

Connor BlackInstitute for Global Food Security, Advanced ASSET Centre, School of Biological Sciences, Queen's University Belfast, 18-30 Malone Road, Belfast, United Kingdom. connor.black@qub.ac.uk.
Olivier P ChevallierInstitute for Global Food Security, Advanced ASSET Centre, School of Biological Sciences, Queen's University Belfast, 18-30 Malone Road, Belfast, United Kingdom.
Kevin M CooperInstitute for Global Food Security, Advanced ASSET Centre, School of Biological Sciences, Queen's University Belfast, 18-30 Malone Road, Belfast, United Kingdom.ORCID http://orcid.org/0000-0001-9771-5317
Simon A HaugheyInstitute for Global Food Security, Advanced ASSET Centre, School of Biological Sciences, Queen's University Belfast, 18-30 Malone Road, Belfast, United Kingdom.
Julia BalogWaters Research Centre, 7 Zahony Street, Budapest, Hungary.
Zoltan TakatsInstitute for Global Food Security, Advanced ASSET Centre, School of Biological Sciences, Queen's University Belfast, 18-30 Malone Road, Belfast, United Kingdom.
Christopher T ElliottInstitute for Global Food Security, Advanced ASSET Centre, School of Biological Sciences, Queen's University Belfast, 18-30 Malone Road, Belfast, United Kingdom.
Christophe CavinNestlé Research, Vers-chez-les Blanc, CH-1000, Lausanne 26, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The morphological transformation of beef tissues after various processing treatments facilitates the addition of cheap offal products. Undetectable to the naked eye, analytical techniques are required to identify such scenarios within minced and processed products. DNA methodologies are ill-equipped to detect adulteration of offal cuts from the same species and vibrational spectroscopic studies, although rapid and non-destructive, have proved inconclusive as to whether the specific adulterant can be identified. For the first time we present a mass spectrometric approach employing an ambient ionisation process to eliminate sample preparation and provide near-instantaneous results. Rapid evaporative ionisation mass spectrometry (REIMS) was used to assess its capabilities of detecting minced beef adulteration with beef brain, heart, kidney, large intestine and liver tissues and chemometric analysis enabled unique or significant markers to be identified. The adulteration levels detected with the REIMS technology when analysing raw adulterated beef burgers were; brain (5%); heart (1-10%); kidney (1-5%); large intestine (1-10%) and liver (5-10%). For boiled adulterated samples; brain (5-10%); heart (1-10%); kidney (1-5%); large intestine (1-10%) and liver (5-10%). REIMS allows rapid and specific identification of offal cuts within adulterated beef burgers and could provide a paradigm shift across many authenticity applications.

Indexed as

AnimalsCattleDNAFood AnalysisFood ContaminationHumansMass SpectrometryMeatMeat ProductsPrincipal Component AnalysisRed MeatDNA

Identifiers

PMID31000779
PMCPMC6472348

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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.