ArticlePloS one2016
Authentication of Herbal Supplements Using Next-Generation Sequencing.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 51 papers.
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.
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.
Who cites it
51 citing papers in PubMed, 132 citations in OpenAlex.
- A scoping review of turmeric adulteration based on data from six continents.Pharmaceutical biology · 2026Article
- Proteogenomic investigation of plant constituents in herbal beverages.NPJ science of food · 2026Article
- Integrating DNA Barcoding Within an Orthogonal Approach for Herbal Product Authentication: A Narrative Review.Phytochemical analysis : PCA · 2025Review
- Article
- Decoding Seafood: Multi-Marker Metabarcoding for Authenticating Processed Seafood.Foods (Basel, Switzerland) · 2024Article
- Authentication of milk thistle commercial products using UHPLC-QTOF-ESI + MS metabolomics and DNA metabarcoding.BMC complementary medicine and therapies · 2023Article
- Detecting and Profiling of Milk Thistle Metabolites in Food Supplements: A Safety-Oriented Approach by Advanced Analytics.Metabolites · 2023Review
- A combined approach of DNA metabarcoding collectively enhances the detection efficiency of medicinal plants in single and polyherbal formulations.Frontiers in plant science · 2023Article
- Horizon scan of DNA-based methods for quality control and monitoring of herbal preparations.Frontiers in pharmacology · 2023Review
- Review
- A nucleotide signature for the identification of Pinelliae Rhizoma (Banxia) and its products.Molecular biology reports · 2022Article
- Strategies for molecular authentication of herbal products: from experimental design to data analysis.Chinese medicine · 2022Review
- Metabolite Fingerprinting Based onMolecules (Basel, Switzerland) · 2022Review
- Advances in Fingerprint Analysis for Standardization and Quality Control of Herbal Medicines.Frontiers in pharmacology · 2022Review
- Reconstructing the ecosystem context of a species: Honey-borne DNA reveals the roles of the honeybee.PloS one · 2022Article
- Advancements and future prospective of DNA barcodes in the herbal drug industry.Frontiers in pharmacology · 2022Review
- Utilizing Big Data to Identify Tiny Toxic Components:Foods (Basel, Switzerland) · 2021Article
- Quantification of Actaea racemosa L. (black cohosh) from some of its potential adulterants using qPCR and dPCR methods.Scientific reports · 2021Article
- Analytical Challenges and Metrological Approaches to Ensuring Dietary Supplement Quality: International Perspectives.Frontiers in pharmacology · 2021Review
- The Microbiome of the Medicinal PlantsFrontiers in microbiology · 2021Article
Corrections and comments
- Erratum issued
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDNA-based testing has been gaining acceptance as a tool for authentication of a wide range of food products; however, its applicability for testing of herbal supplements remains contentious.
methodsWe utilized Sanger and Next-Generation Sequencing (NGS) for taxonomic authentication of fifteen herbal supplements representing three different producers from five medicinal plants: Echinacea purpurea, Valeriana officinalis, Ginkgo biloba, Hypericum perforatum and Trigonella foenum-graecum. Experimental design included three modifications of DNA extraction, two lysate dilutions, Internal Amplification Control, and multiple negative controls to exclude background contamination. Ginkgo supplements were also analyzed using HPLC-MS for the presence of active medicinal components.
resultsAll supplements yielded DNA from multiple species, rendering Sanger sequencing results for rbcL and ITS2 regions either uninterpretable or non-reproducible between the experimental replicates. Overall, DNA from the manufacturer-listed medicinal plants was successfully detected in seven out of eight dry herb form supplements; however, low or poor DNA recovery due to degradation was observed in most plant extracts (none detected by Sanger; three out of seven-by NGS). NGS also revealed a diverse community of fungi, known to be associated with live plant material and/or the fermentation process used in the production of plant extracts. HPLC-MS testing demonstrated that Ginkgo supplements with degraded DNA contained ten key medicinal components.
conclusionQuality control of herbal supplements should utilize a synergetic approach targeting both DNA and bioactive components, especially for standardized extracts with degraded DNA. The NGS workflow developed in this study enables reliable detection of plant and fungal DNA and can be utilized by manufacturers for quality assurance of raw plant materials, contamination control during the production process, and the final product. Interpretation of results should involve an interdisciplinary approach taking into account the processes involved in production of herbal supplements, as well as biocomplexity of plant-plant and plant-fungal biological interactions.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.