Evidence map›Paper›PMID 42654018›Full record

ReviewMolecules (Basel, Switzerland)2026

Multi-Platform Metabolomics for Fraud Detection in Spices and Botanical Food Supplements: From Fingerprint Acquisition to Decision-Grade Evidence.

Dejan Gođevac, Stefan Ivanović, Mirjana Cvetković, Jovana Stanković Jeremić, Katarina Simić, Manuela Mandrone, Ivana Sofrenić

Abstract readReview
In one paragraph

Review in Molecules (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Dejan GođevacUniversity of Belgrade, Institute of Chemistry, Technology and Metallurgy, National Institute of the Republic of Serbia, Njegoševa 12, 11000 Belgrade, Serbia.ORCID 0000-0002-0555-581X
Stefan IvanovićUniversity of Belgrade, Institute of Chemistry, Technology and Metallurgy, National Institute of the Republic of Serbia, Njegoševa 12, 11000 Belgrade, Serbia.ORCID 0000-0002-3291-9818
Mirjana CvetkovićUniversity of Belgrade, Institute of Chemistry, Technology and Metallurgy, National Institute of the Republic of Serbia, Njegoševa 12, 11000 Belgrade, Serbia.ORCID 0000-0003-3821-527X
Jovana Stanković JeremićUniversity of Belgrade, Institute of Chemistry, Technology and Metallurgy, National Institute of the Republic of Serbia, Njegoševa 12, 11000 Belgrade, Serbia.
Katarina SimićUniversity of Belgrade, Institute of Chemistry, Technology and Metallurgy, National Institute of the Republic of Serbia, Njegoševa 12, 11000 Belgrade, Serbia.ORCID 0000-0001-5060-8936
Manuela MandroneDepartment of Pharmacy and Biotechnology, University of Bologna, Via Irnerio, 42, 40126 Bologna, Italy.ORCID 0000-0002-0541-390X
Ivana SofrenićUniversity of Belgrade, Faculty of Chemistry, 11000 Belgrade, Serbia.ORCID 0000-0002-9799-670X

Funding

Ministry of Science, Technological Development, and Innovation 451-03-33/2026-03/200026
6 · The paper itself

Abstract

Fraud in herbal medicines and botanical supplements-such as biological substitution, dilution with inert material, undeclared active pharmaceutical ingredients (APIs), and intentional mislabeling-represents a significant and underestimated threat to public health. Beyond regulatory problems, fraudulent botanical products also compromise the scientific integrity of bioactive compound research. If pharmacological or clinical studies are carried out on adulterated material without knowing it, the resulting data on safety and efficacy become unreliable, and any conclusions drawn from such data are questionable. This review critically evaluates multi-platform metabolomics as an analytical decision-making framework for botanical fraud detection. Rather than cataloging available methods, we focus on the complete analytical pipeline: study design and sample strategy, multi-platform fingerprint acquisition and processing (NMR, GC-MS, LC-HRMS, HPTLC), and chemometric modeling, validation, and decision support. Particular emphasis is placed on data fusion across platforms and the requirements for producing decision-grade evidence-analytical outputs robust enough to support market monitoring and regulatory action.

Indexed as

Dietary SupplementsFraudMetabolomicsSpicesGas Chromatography-Mass SpectrometryHumansMagnetic Resonance Spectroscopyadulterationbotanical authenticationchemometricsdata fusionfood fraudGC-MSHPTLCLC-HRMSNMR spectroscopyuntargeted metabolomics

Identifiers

PMID42654018
PMCPMC13516829

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.