ArticleNPJ science of food2026
Proteogenomic investigation of plant constituents in herbal beverages.
Article in NPJ science of food, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
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.
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Who cites it
1 citing paper in PubMed.
- Combined NGS and proteomics improves viral diagnostics in wildlife: coronaviruses confirmed in hedgehogs.Frontiers in cellular and infection microbiology · 2026Article
Corrections and comments
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Authors and funding
14 authors.
Funding
Abstract
Manufacturing adulteration is the major cause of discrepancies between the declared and actual composition of food products. While high-throughput sequencing (HTS) of DNA barcodes is a promising method to identify adulterants, its practical application is hampered by technical challenges. Food pre-processing and differences in GC composition can lead to unequal amplification or complete loss of DNA barcode components. Consequently, HTS results require independent confirmation using an orthogonal method based on very different physical principles than DNA sequencing. To address this, we evaluated the suitability of a multi-omic approach that coupled DNA barcode HTS analysis with proteomic analysis, to enhance the detection of food fraud in herbal beverages. To resolve discrepancies between genomic and proteomic findings, we employed traditional botanical morphology as an arbiter. Among the samples studied, the combined approach revealed two main adulterations of Epilobium with Lythrum - a substitution potentially hazardous to consumers - as well as several minor substitutions, all confirmed by orthogonal methods. Our findings demonstrate that proteomic analysis provides enhanced confidence for verifying the presence or absence of plant components identified by HTS. However, its effective application is guided by prior sequencing to define specific targets for subsequent proteomic verification. This study established that a multimodal analytical approach is not only beneficial, but essential for the reliable and comprehensive characterization of components in complex plant mixtures.
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Registered trials
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