Article3 Biotech2018
Assessment of adulteration in raw herbal trade of important medicinal plants of India using DNA barcoding.
Article in 3 Biotech, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed.
- Integrated microscopic, HPTLC, and HRM analyses for differentiating Centella asiatica (L.) Urb., Bacopa monnieri (L.) Wettst, and Hydrocotyle umbellata L.Scientific reports · 2025Article
- Identifying the geographical origin and processing technology of Moyao () on the basis of near-infrared spectroscopy combined with chemometrics.Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan · 2024Article
- Essential Oil Chemotypes and Genetic Variability ofMolecules (Basel, Switzerland) · 2022Article
- A Review on Application of DNA Barcoding Technology for Rapid Molecular Diagnostics of Adulterants in Herbal Medicine.Drug safety · 2022Review
- Advancements and future prospective of DNA barcodes in the herbal drug industry.Frontiers in pharmacology · 2022Review
- Multi-methodological approach for the Quality assessment of Senecionis scandentis Herba (Qianliguang) in the herbal market.PloS one · 2022Article
- Quantification of adulteration in traded ayurvedic raw drugs employing machine learning approaches with DNA barcode database.3 Biotech · 2021Article
- The efficacy of machine learning algorithm for raw drug authentication inPhysiology and molecular biology of plants : an international journal of functional plant biology · 2021Article
- Pitfalls and promises of raw drug identification techniques in the ayurvedic industry: an overview.3 Biotech · 2020Review
- A Simple, Rapid, and Practical Method for DistinguishingMolecules (Basel, Switzerland) · 2019Article
- Mitigating the Impact of Admixtures in Thai Herbal Products.Frontiers in pharmacology · 2019Review
- Can Guduchi (Tinospora cordifolia), a well-known ayurvedic hepato-protectant cause liver damage?Journal of Ayurveda and integrative medicineReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A number of studies have shown that there could be widespread substitution and/or adulteration (hereafter referred to as substitution) in raw herbal trade of medicinal plants. Substitution could potentially endanger the health and safety of the consumers. In this study, the extent of adulteration in raw herbal trade of 30 important medicinal plants in South India was analyzed. Biological reference material (BRM) consisting of taxonomically authenticated samples of each of the 30 species along with 14 other co-occurring and congeneric allied species that are likely to be used in adulteration was established. DNA barcode signatures of 124 BRM using two candidate regions, nr-
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.