Metabolomics: what's new?

The use of 1H–NMR Metabolomics to Optimise the Extraction and Preliminary Identification of Anthelmintic Products from the Leaves of Lysiloma latisiliquum

“…Some of the advantages of using 1 H–NMR metabolomics include its being a non‐destructive method with simple processing of spectra (Kim et al ., ), together with the possibility of observing signals of different types of secondary metabolites simultaneously. Moreover, the method allows for the elucidation of chemical structures through the interpretation of spectroscopic data or by comparing it with available databases (Verpoorte et al ., ). 1 H–NMR metabolomics has also been used to improve the extraction of bioactive metabolites (Kaiser et al ., ; Martin et al ., ) and to identify 1 H–NMR signals corresponding to metabolites responsible for the activity detected in the extract (Bailey et al ., ).…”

Metabolite Characterization and Correlations with Antioxidant and Wound Healing Properties of Oil Palm (Elaeis guineensis Jacq.) Leaflets via 1H-NMR-Based Metabolomics Approach

“…With the use of multivariate statistical analysis (MVDA), samples can be differentiated based on their metabolite compositions. Through the interpretation of spectral data, and further comparison with databases and literature data, the important differentiating metabolites can be identified [17]. Thus, this technique is a highly promising tool for quality control and standardization of natural products [18].…”

“…Major flavonoids detected in OPL extracts. Isomer 1, vitexin (18)/isovitexin(19); Isomer 2, orientin (16)/isoorientin(17), and Isomer 3, (+)-catechin (15)/(−)-epicatechin(14).…”

Chemometric Classification of Morphologically Similar Umbelliferae Medicinal Herbs by DART‐TOF‐MS Fingerprint

“…Although clear chemometric characterisation of four different species was achieved through the identification of characteristic compounds by DART-TOF-MS analysis, multivariate analysis was also helpful for discriminating between similar species of Umbelliferae. The multivariate analysis of a complex array of chemometric data often provides more insight into biological phenomena in samples by revealing significant chemical markers (Verpoorte et al, 2010). A total of 40 observations was scored in the plot with PC t[1] and PC t[2] (Fig.…”