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Fast and reliable detection of toxic Crotalaria spectabilis Roth. in Thunbergia laurifolia Lindl. herbal products using DNA barcoding coupled with HRM analysis

Overview of attention for article published in BMC Complementary Medicine and Therapies, May 2015
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Title
Fast and reliable detection of toxic Crotalaria spectabilis Roth. in Thunbergia laurifolia Lindl. herbal products using DNA barcoding coupled with HRM analysis
Published in
BMC Complementary Medicine and Therapies, May 2015
DOI 10.1186/s12906-015-0692-6
Pubmed ID
Authors

Sahachat Singtonat, Maslin Osathanunkul

Abstract

Nowadays, medicinal plants are used as a popular alternative to synthetic drugs. Many medicinal plant products have now been commercialized throughout various markets. These products are commonly sold in processed or modified forms such as powders, dried material and capsules, making it almost impossible to accurately identify the constituent species. The herbal plant known as 'Rang Chuet' in Thai has been widely used as remedies for various ailments. However, two medicinal plants species, Thunbergia laurifolia and Crotalaria spectabilis share this name. Duo to the similarity in nomenclature, the commercial products labeled as 'Rang Chuet' could be any of them. Recently, the evidence of hepatotoxic effects linked to use of C. spectabilis were reported and is now seriously concern. There is a need to find an approach that could help with species identification of these herbal products to ensure the safety and efficacy of the herbal drug. Here DNA barcoding was used in combination with High Resolution Melting analysis (Bar-HRM) to authenticate T. laurifolia species. Four DNA barcodes including matK, rbcL, rpoC and trnL were selected for use in primers design for HRM analysis to produce standard melting profiles of the selected species. Commercial products labeled as 'Rang Chuet' were purchased from Thai markets and authentication by HRM analyses. Melting data from the HRM assay using the designed primers showed that the two 'Rang Chuet' species could easily be distinguished from each other. The melting profiles of the all four region amplicons of each species are clearly separated in all three replicates. The method was then applied to authenticate products in powdered form. HRM curves of all ten test samples indicated that three of the tested products did not only contain the T. laurifolia species. The herbal drugs derived from different plants must be distinguished from each other even they share the same vernacular name. The Bar-HRM method developed here proved useful in the identification and authentication of herbal species in processed samples. In the future, species authentication through Bar-HRM could be used to promote consumer trust, as well as raising the quality of herbal products.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
China 1 2%
Saudi Arabia 1 2%
Unknown 42 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 23%
Student > Master 5 11%
Student > Ph. D. Student 4 9%
Unspecified 3 7%
Student > Doctoral Student 3 7%
Other 14 32%
Unknown 5 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 27%
Biochemistry, Genetics and Molecular Biology 9 20%
Medicine and Dentistry 5 11%
Unspecified 3 7%
Chemistry 2 5%
Other 5 11%
Unknown 8 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 November 2015.
All research outputs
#20,274,720
of 22,807,037 outputs
Outputs from BMC Complementary Medicine and Therapies
#2,977
of 3,630 outputs
Outputs of similar age
#223,290
of 267,111 outputs
Outputs of similar age from BMC Complementary Medicine and Therapies
#64
of 83 outputs
Altmetric has tracked 22,807,037 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,630 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 267,111 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 83 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.