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Development and validation of HPTLC fingerprints of three species of Alpinia with biomarker Galangin

Overview of attention for article published in BMC Complementary Medicine and Therapies, January 2018
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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 (79th percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

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Title
Development and validation of HPTLC fingerprints of three species of Alpinia with biomarker Galangin
Published in
BMC Complementary Medicine and Therapies, January 2018
DOI 10.1186/s12906-017-2033-4
Pubmed ID
Authors

Anuradha S. Upadhye, Anagha Rajopadhye, Lourelle Dias

Abstract

Alpinia galanga (L.) Willd. commonly called as Rasna, Greater galangal or Kulinjan is a medicinally important rhizome used in Indian traditional system of medicine to cure a number of ailments. A. galanga is the main source of a galangin -a medicinally important flavanol which has a number of pharmacological properties viz. anti-mutagenic, and anti-inflammatory. Due to the high demand for the rhizome of A. galanga traders are now substituting it with rhizomes of A. calcarata and A. officinarum. The present study aims to develop high performance thin layer chromatographic (HPTLC) fingerprinting of A. galanga with its adulterants or substitutes and to quantify bioactive galangin present thereof. Methanolic extracts were obtained from rhizomes of the three species of Alpinia used for HPTLC analysis using silica gel 60 F254 plates and hexane: ethyl acetate: acetic acid (6.2: 2.8: 1.0 v/v/v); the densitometric analysis was performed at 272 nm. By comparison of Rf values and of the spectra of the bands with those of the standard galangin was identified in all three samples. HPTLC quantitative analysis of the methanolic extracts showed the decline trend in the quantity of the galangin in the three species of Alpinia as A. galanga (7.67 ± 0.36 mg/g) > A. officinarum (5.77 ± 0.71 mg/g) > A. calcarata (4.31 ± 0.44 mg/g). The HPTLC method was validated using International Conference on Harmonization (ICH) guidelines. The HPTLC method showed good linearity, recovery and high precision of biomarker. Rapid and reproducible method is useful for routine analysis of galangin and quality control of Alpinia galangal along with its adulterants or substitutes.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 13%
Student > Master 4 13%
Student > Ph. D. Student 4 13%
Researcher 3 9%
Student > Postgraduate 2 6%
Other 1 3%
Unknown 14 44%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 9 28%
Medicine and Dentistry 2 6%
Agricultural and Biological Sciences 2 6%
Biochemistry, Genetics and Molecular Biology 1 3%
Nursing and Health Professions 1 3%
Other 2 6%
Unknown 15 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 24 January 2018.
All research outputs
#4,029,027
of 23,016,919 outputs
Outputs from BMC Complementary Medicine and Therapies
#766
of 3,643 outputs
Outputs of similar age
#89,531
of 442,088 outputs
Outputs of similar age from BMC Complementary Medicine and Therapies
#33
of 113 outputs
Altmetric has tracked 23,016,919 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,643 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.7. This one has done well, scoring higher than 78% 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 442,088 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 113 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.