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Metabolite profiling in Trigonella seeds via UPLC-MS and GC-MS analyzed using multivariate data analyses

Overview of attention for article published in Analytical & Bioanalytical Chemistry, September 2016
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  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

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Title
Metabolite profiling in Trigonella seeds via UPLC-MS and GC-MS analyzed using multivariate data analyses
Published in
Analytical & Bioanalytical Chemistry, September 2016
DOI 10.1007/s00216-016-9910-4
Pubmed ID
Authors

Mohamed A. Farag, Dalia M. Rasheed, Matthias Kropf, Andreas G. Heiss

Abstract

Trigonella foenum-graecum is a plant of considerable value for its nutritive composition as well as medicinal effects. This study aims to examine Trigonella seeds using a metabolome-based ultra-performance liquid chromatography-mass spectrometry (UPLC-MS) in parallel to gas chromatography-mass spectrometry (GC-MS) coupled with multivariate data analyses. The metabolomic differences of seeds derived from three Trigonella species, i.e., T. caerulea, T. corniculata, and T. foenum-graecum, were assessed. Under specified conditions, we were able to identify 93 metabolites including 5 peptides, 2 phenolic acids, 22 C/O-flavonoid conjugates, 26 saponins, and 9 fatty acids using UPLC-MS. Several novel dipeptides, saponins, and flavonoids were found in Trigonella herein for the first time. Samples were classified via unsupervised principal component analysis (PCA) followed by supervised orthogonal projection to latent structures-discriminant analysis (OPLS-DA). A distinct separation among the investigated Trigonella species was revealed, with T. foenum-graecum samples found most enriched in apigenin-C-glycosides, viz. vicenins 1/3 and 2, compared to the other two species. In contrast to UPLC-MS, GC-MS was less efficient to classify specimens, with differences among specimens mostly attributed to fatty acyl esters. GC-MS analysis of Trigonella seed extracts led to the identification of 91 metabolites belonging mostly to fatty acyl esters, free fatty acids followed by organic acids, sugars, and amino acids. This study presents the first report on primary and secondary metabolite compositional differences among Trigonella seeds via a metabolomics approach and reveals that, among the species examined, the official T. foenum-graecum presents a better source of Trigonella secondary bioactive metabolites.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 74 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 12%
Student > Master 8 11%
Student > Bachelor 8 11%
Researcher 5 7%
Student > Doctoral Student 4 5%
Other 12 16%
Unknown 28 38%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 18%
Chemistry 9 12%
Pharmacology, Toxicology and Pharmaceutical Science 8 11%
Biochemistry, Genetics and Molecular Biology 5 7%
Medicine and Dentistry 4 5%
Other 7 9%
Unknown 28 38%
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 28 October 2016.
All research outputs
#19,945,185
of 25,374,917 outputs
Outputs from Analytical & Bioanalytical Chemistry
#6,060
of 9,619 outputs
Outputs of similar age
#246,237
of 335,124 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#69
of 199 outputs
Altmetric has tracked 25,374,917 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 9,619 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.
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 335,124 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 199 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 57% of its contemporaries.