Evidence map›Paper›PMID 30279546›Full record

ArticleScientific reports2018

Authenticity and geographic origin of global honeys determined using carbon isotope ratios and trace elements.

Xiaoteng Zhou, Mark Patrick Taylor, Helen Salouros, Shiva Prasad

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Honey as a Natural Antimicrobial.Antibiotics (Basel, Switzerland) · 2025
    Review
  8. Article
  9. Article
  10. Article
  11. Analysis of δJournal of food science and technology · 2024
    Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Quality control ofFrontiers in plant science · 2023
    Article
  18. Article
  19. Review
  20. Levels of trace elements and rare earth elements in honey from Jordan.Environmental science and pollution research international · 2022
    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

4 authors.

Xiaoteng ZhouDepartment of Environmental Sciences, Faculty of Science and Engineering, Macquarie University, North Ryde, Sydney, New South Wales, 2109, Australia. xiaoteng.zhou@students.mq.edu.au.ORCID http://orcid.org/0000-0002-1900-6037
Mark Patrick TaylorDepartment of Environmental Sciences, Faculty of Science and Engineering, Macquarie University, North Ryde, Sydney, New South Wales, 2109, Australia. mark.taylor@mq.edu.au.ORCID http://orcid.org/0000-0001-7598-9982
Helen SalourosAustralian Forensic Drug Laboratory, National Measurement Institute, North Ryde, Sydney, New South Wales, 2113, Australia.
Shiva PrasadAnalytical Service Branch, National Measurement Institute, North Ryde, Sydney, New South Wales, 2113, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Honey is the world's third most adulterated food. The addition of cane sugar or corn syrup and the mislabelling of geographic origin are common fraudulent practices in honey markets. This study examined 100 honey samples from Australia (mainland and Tasmania) along with 18 other countries covering Africa, Asia, Europe, North America and Oceania. Carbon isotopic analyses of honey and protein showed that 27% of commercial honey samples tested were of questionable authenticity. The remaining 69 authentic samples were subject to trace element analysis for geographic determination. One-way ANOVA analysis showed a statistical difference (p < 0.05) in trace element concentrations of honey from Australian regions and different continents. Principal component analysis (PCA) and canonical discriminant analysis (CDA) coupled with C5.0 classification modelling of honey carbon isotopes and trace element concentrations showed distinct clusters according to their geographic origin. The C5.0 model revealed trace elements Sr, P, Mn and K can be used to differentiate honey according to its geographic origin. The findings show the common and prevalent issues of honey authenticity and the mislabelling of its geographic origin can be identified using a combination of stable carbon isotopes and trace element concentrations.

Indexed as

Food QualityCarbon IsotopesDiscriminant AnalysisFood ContaminationHoneyPrincipal Component AnalysisTrace ElementsCarbon IsotopesTrace Elements

Identifiers

PMID30279546
PMCPMC6168535

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.