Evidence map›Paper›PMID 28935907›Full record

ArticleScientific reports2017

Through-container, extremely low concentration detection of multiple chemical markers of counterfeit alcohol using a handheld SORS device.

David I Ellis, Rebecca Eccles, Yun Xu, Julia Griffen, Howbeer Muhamadali, Pavel Matousek, Ian Goodall, Royston Goodacre

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
5.2field-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

14 citing papers in PubMed, 86 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

8 authors at 4 institutions in 1 country.

David I EllisManchester Institute of Biotechnology, School of Chemistry, Manchester, M1 7DN, UK. D.Ellis@manchester.ac.uk.ORCID 0000-0002-7633-7019
Rebecca EcclesScotch Whisky Research Institute, Research Avenue North, Riccarton, Edinburgh, EH14 4AP, UK.
Yun XuManchester Institute of Biotechnology, School of Chemistry, Manchester, M1 7DN, UK.
Julia GriffenCobalt Light Systems Limited, Milton Park, Abingdon, OX14 4SD, UK.
Howbeer MuhamadaliManchester Institute of Biotechnology, School of Chemistry, Manchester, M1 7DN, UK.
Pavel MatousekCobalt Light Systems Limited, Milton Park, Abingdon, OX14 4SD, UK.
Ian GoodallScotch Whisky Research Institute, Research Avenue North, Riccarton, Edinburgh, EH14 4AP, UK.
Royston GoodacreManchester Institute of Biotechnology, School of Chemistry, Manchester, M1 7DN, UK. Roy.Goodacre@manchester.ac.uk.ORCID 0000-0003-2230-645X
University of Manchester · GBScotch Whisky Research Institute · GBCobalt Institute · GBRutherford Appleton Laboratory · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Major food adulteration incidents occur with alarming frequency and are episodic, with the latest incident, involving the adulteration of meat from 21 producers in Brazil supplied to 60 other countries, reinforcing this view. Food fraud and counterfeiting involves all types of foods, feed, beverages, and packaging, with the potential for serious health, as well as significant economic and social impacts. In the spirit drinks sector, counterfeiters often 'recycle' used genuine packaging, or employ good quality simulants. To prove that suspect products are non-authentic ideally requires accurate, sensitive, analysis of the complex chemical composition while still in its packaging. This has yet to be achieved. Here, we have developed handheld spatially offset Raman spectroscopy (SORS) for the first time in a food or beverage product, and demonstrate the potential for rapid in situ through-container analysis; achieving unequivocal detection of multiple chemical markers known for their use in the adulteration and counterfeiting of Scotch whisky, and other spirit drinks. We demonstrate that it is possible to detect a total of 10 denaturants/additives in extremely low concentrations without any contact with the sample; discriminate between and within multiple well-known Scotch whisky brands, and detect methanol concentrations well below the maximum human tolerable level.

Indexed as

Alcoholic BeveragesBrazilEthanolFood ContaminationHumansMeatMethanolReproducibility of ResultsSpectrum Analysis, RamanEthanolMethanol

Identifiers

PMID28935907
PMCPMC5608898
OpenAlexW2756131138

What OpenQuestion holds

Textmetadata
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.