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A flow-injection mass spectrometry fingerprinting method for authentication and quality assessment of Scutellaria lateriflora-based dietary supplements

Overview of attention for article published in Analytical & Bioanalytical Chemistry, July 2011
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Title
A flow-injection mass spectrometry fingerprinting method for authentication and quality assessment of Scutellaria lateriflora-based dietary supplements
Published in
Analytical & Bioanalytical Chemistry, July 2011
DOI 10.1007/s00216-011-5246-2
Pubmed ID
Authors

Jianghao Sun, Pei Chen

Abstract

Scutellaria lateriflora, commonly known as skullcap, is used as an ingredient in numerous herbal products. However, it has been occasionally adulterated/contaminated with Teucrium canadense and/or Teucrium chamaedrys, commonly known as germander, due to the morphological similarities between the two genera. The latter contains hepatotoxic diterpenes. Despite the potential hepatotoxicity introduced by germander contamination, analytical methodologies for the authentication and quality assessment of S. lateriflora-based dietary supplements have not been reported. In this study, a flow-injection/mass spectrometry fingerprinting method in combination with principal component analysis was used to survey S. lateriflora-based dietary supplements sold in the USA.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 33%
Professor > Associate Professor 3 11%
Student > Master 3 11%
Student > Bachelor 2 7%
Student > Postgraduate 2 7%
Other 3 11%
Unknown 5 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 19%
Chemistry 4 15%
Pharmacology, Toxicology and Pharmaceutical Science 3 11%
Biochemistry, Genetics and Molecular Biology 2 7%
Medicine and Dentistry 2 7%
Other 1 4%
Unknown 10 37%
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 20 March 2023.
All research outputs
#20,064,197
of 25,523,622 outputs
Outputs from Analytical & Bioanalytical Chemistry
#6,108
of 9,663 outputs
Outputs of similar age
#107,143
of 130,462 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#60
of 66 outputs
Altmetric has tracked 25,523,622 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,663 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 31st percentile – i.e., 31% of its peers scored the same or lower than it.
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