ArticlePloS one2017
Evaluation of a DNA-based method for spice/herb authentication, so you do not have to worry about what is in your curry, buon appetito!
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
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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
6 citing papers in PubMed, 22 citations in OpenAlex.
- A scoping review of turmeric adulteration based on data from six continents.Pharmaceutical biology · 2026Article
- Article
- Mitigating the Impact of Admixtures in Thai Herbal Products.Frontiers in pharmacology · 2019Review
- Multiuse of Bar-HRM for Ophiocordyceps sinensis identification and authentication.Scientific reports · 2018Article
- Bar-HRM for authenticating soursop (Annona muricata) tea.Scientific reports · 2018Article
- Sequence-Specific Detection ofFrontiers in plant science · 2018Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
It is long believed that some spices may help protect against certain chronic conditions. Spices are usually parts of plants that have been powdered into small pieces. Have you ever wondered what the curry powder in your dish is made of? The aim of this work was to develop an appropriate DNA-based method for assessment of spice identity. Selecting the best marker for species recognition in the Zingiberaceae family. Six DNA regions were investigated in silico, including ITS, matK, rbcL, rpoC, trnH-psbA and trnL. Then, only four regions (ITS, matK, rbcL and trnH-psbA) were included in the simulated HRM (High-resolution Melting) analysis as the results from previous analysis showed that rpoC and trnL may not be suitable to be used to identify Zingiberaceae species in HRM analysis based on both the percentage of nucleotide variation and GC content. Simulated HRM analysis was performed to test the feasibility of Bar-HRM. We found that ITS2 is the most effective region to be used for identification of the studied species and thus was used in laboratory HRM analysis. All seven tested Zingiberaceae plants were then able to be distinguished using the ITS2 primers in laboratory HRM. Most importantly the melting curves gained from fresh and dried tissue overlapped, which is a crucial outcome for the applicability of the analysis. The method could be used in an authentication test for dried products. In the authentication test, only one of seven store-sold Zingiberaceae products that were tested contained the species listed on their labels, while we found substitution/contamination of the tested purchased products in the rest.
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Registered trials
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