Evidence map›Paper›PMID 40231950›Full record

ReviewFoods (Basel, Switzerland)2025

Advancing Stable Isotope Analysis for Alcoholic Beverages' Authenticity: Novel Approaches in Fraud Detection and Traceability.

Yiqian Ma, Yalan Li, Feilong Shao, Yuanyu Lu, Wangni Meng, Karyne M Rogers, Di Sun, Hao Wu, Xiaodong Peng

Abstract readReview
In one paragraph

Review in Foods (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. 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

9 authors.

Yiqian MaGuizhou Institute of Products Quality Inspection & Testing, Guiyang 550016, China.
Yalan LiKey Laboratory of the Ministry of Education for Coastal and Wetland Ecosystems, College of the Environment and Ecology, Xiamen University, Xiamen 361102, China.
Feilong ShaoGuizhou Institute of Products Quality Inspection & Testing, Guiyang 550016, China.
Yuanyu LuGuizhou Institute of Products Quality Inspection & Testing, Guiyang 550016, China.
Wangni MengGuizhou Institute of Products Quality Inspection & Testing, Guiyang 550016, China.
Karyne M RogersNational Isotope Centre, GNS Science, Lower Hutt 5040, New Zealand.
Di SunGuizhou Institute of Products Quality Inspection & Testing, Guiyang 550016, China.
Hao WuKey Laboratory of the Ministry of Education for Coastal and Wetland Ecosystems, College of the Environment and Ecology, Xiamen University, Xiamen 361102, China.ORCID 0000-0002-9227-2614
Xiaodong PengGuizhou Institute of Products Quality Inspection & Testing, Guiyang 550016, China.

Funding

Guizhou Institute of Products Quality Inspection & Testing YK 2023[001]State Administration for Market Regulation of China 2023MK109
6 · The paper itself

Abstract

backgroundAlcoholic beverages have been popular for thousands of years due to their unique flavors and cultural significance. However, the industry's high profit margins have led to increasingly sophisticated counterfeiting practices. Stable isotope analysis has emerged as one of the most promising techniques for addressing authenticity and traceability challenges in alcoholic beverages. Scope and approach: This review presents a comprehensive summary of the principles and recent advancements in the application of stable isotope techniques for authenticity assessment. It examines their use in detecting fraud (e.g., identifying edible alcohol, exogenous water, carbonylation, and trace compounds), vintage identification, and geographical origin determination across various alcoholic beverages, with a particular focus on wine, Chinese baijiu, and beer.

conclusionsStable isotope analysis is a powerful tool for verifying the authenticity of alcoholic beverages, offering effective solutions to combat counterfeiting, mislabeling, and adulteration. Future studies should focus on understanding the ecological, biological, and hydrometeorological factors influencing isotope signatures and develop advanced multi-isotope and chemometric approaches to improve reliability. Expanding global databases and integrating emerging technologies such as artificial intelligence (AI) and machine learning will further enhance the effectiveness and accessibility of stable isotope techniques, ensuring safer and higher-quality alcoholic beverages for consumers worldwide.

Indexed as

alcoholic beveragesauthenticitychemometric modelingstable isotope analysis

Identifiers

PMID40231950
PMCPMC11941174

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.