↓ Skip to main content

Improved On-Site Protocol for the DNA-Based Species Identification of Cannabis sativa by Loop-Mediated Isothermal Amplification

Overview of attention for article published in Biological and Pharmaceutical Bulletin, August 2018
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

twitter
9 X users
facebook
1 Facebook page
reddit
1 Redditor

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
25 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Improved On-Site Protocol for the DNA-Based Species Identification of Cannabis sativa by Loop-Mediated Isothermal Amplification
Published in
Biological and Pharmaceutical Bulletin, August 2018
DOI 10.1248/bpb.b18-00272
Pubmed ID
Authors

Masashi Kitamura, Masako Aragane, Kou Nakamura, Tatsushi Adachi, Kazuhito Watanabe, Yohei Sasaki

Abstract

Cannabis sativa L. is cultivated worldwide for a variety of purposes, but its cultivation and possession are regulated by law in many countries, necessitating accurate detection methods. We previously reported a DNA-based C. sativa identification method using the loop-mediated isothermal amplification (LAMP) assay. Although the LAMP technique can be used for on-site detection, our previous protocol took about 90 min from sampling to detection. In this study, we report an on-site protocol that can be completed in 30 min for C. sativa identification based on a modified LAMP system. Under optimal conditions, the LAMP reaction started at approximately 10 min and was completed within 20 min at 63°C. It had high sensitivity (10 pg of purified DNA). Its specificity for C. sativa was confirmed by examining 20 strains of C. sativa and 50 other species samples. With a simple DNA extraction method, the entire procedure from DNA extraction to detection required only 30 min. Using the protocol, we were able to identify C. sativa from various plant parts, such as the leaf, stem, root, seed, and resin derived from C. sativa extracts. As the entire procedure was completed using a single portable device and the results could be evaluated by visual detection, the protocol could be used for on-site detection and is expected to contribute to the regulation of C. sativa.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 12%
Researcher 3 12%
Student > Bachelor 2 8%
Student > Ph. D. Student 2 8%
Other 1 4%
Other 2 8%
Unknown 12 48%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 16%
Agricultural and Biological Sciences 4 16%
Pharmacology, Toxicology and Pharmaceutical Science 2 8%
Veterinary Science and Veterinary Medicine 1 4%
Chemistry 1 4%
Other 0 0%
Unknown 13 52%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 20 August 2018.
All research outputs
#4,501,000
of 23,098,660 outputs
Outputs from Biological and Pharmaceutical Bulletin
#298
of 2,974 outputs
Outputs of similar age
#86,183
of 331,041 outputs
Outputs of similar age from Biological and Pharmaceutical Bulletin
#5
of 35 outputs
Altmetric has tracked 23,098,660 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,974 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 89% of its peers.
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 331,041 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.