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Mass spectrometry of methanoloic extracts of leaf and stem of Cissus rotundifolia revealed the presence of around 30 compounds, 15 of whom were identified through the NIST14 library based on their mass spectral signature. In comparison, 36 compounds were detected in C. quadrangularis stem aqueous and methanolic extracts, out of which 21 compounds were identified by the NIST14 library, out of which 21 compounds were identified by NIST14. In addition to these, coumaran, quinoline, and trans-phytol were also found in the extracts of C. quadrangularis. In C. rotundifolia, there were a higher percentage of betulinal dehyde and lauric acid, but not in C. qudrangularis, which was dominated by methyl palmitate and coumaran. These herbs are medicinally known for their bone healing abilities, and their metabolic profiling of these plants will be used to identify and characterize the novel bioactive compounds responsible for a variety of medicinal properties.
Source link: https://europepmc.org/article/MED/35511385
The computational program identifies key cinnamon metabolites, including proanthocyanidins, cinnamaldehyde, and coumarin, from test samples to LC-MS data processing and assigns cinnamon species by standardized metabolite ratios using a stepwise classification scheme. The proposed cinnamon classification method demonstrated superior reliability compared to the metabolomic-based PLS-DA modeling technique, and it was extremely useful for the analysis of cinnamon samples and evaluation of potential health benefits.
Source link: https://europepmc.org/article/MED/35439011
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