Discrimination of cabbage (Brassica rapa ssp. pekinensis) cultivars grown in different geographical areas using 1H NMR-based metabolomics

The Use of Wavelength Dispersive X‐ray Fluorescence in the Identification of the Elemental Composition of Vanilla Samples and the Determination of the Geographic Origin by Discriminant Function Analysis

“…Analytical techniques that have been used to determine the geographical origin of food products range from mass spectrometry techniques to separation techniques like HPLC and capillary electrophoresis (Luykx and van Ruth ; Zhao and others ; Sharp and others ; Bong and others ; Kim and others ). More recent studies involving spices have included the determination of the geographical location of Szegedi paprika using Sr isotope ratios and ICP‐MS (Brunner and others ) and the geographical origin differentiation of saffron spices using H, C, and N stable isotope analysis (Maggi and others ).…”

Discrimination of Polygonatum species and identification of novel markers using 1H NMR‐ and UPLC/Q‐TOF MS‐based metabolite profiling

“…The analysis of Polygonatum extracts by 1 H NMR allowed for the detection of essential primary metabolites. A total of 20 metabolites were identified using the 600 MHz library from Chenomx NMR Suite Version 7.1, 2D NMR data, spiking experiments and previous reports (Table S1) . The majority of identified metabolites were sugars, amino acids and organic acids.…”

“…1 H NMR spectra were acquired using the NOESYPRESAT pulse sequence, which was collected into 50 508 data points using a spectral width of 6313.1 Hz with a relaxation delay of 7 s, an acquisition time of 4 s and a mixing time of 100 ms. A 0.5 Hz line‐broadening function was applied to all spectra for Fourier transformation, followed by phasing and baseline correction. Signal assignments for representative samples were achieved using 2D total correlation spectroscopy, a 600 MHz NMR database of Chenomx NMR Suite Version 7.1 (Edmonton, AB, Canada), spiking experiments and comparison with previously reported values …”

Discrimination of conventional and organic white cabbage from a long-term field trial study using untargeted LC-MS-based metabolomics

“…In that context, it should be emphasized that apart from the production year (as in the present work), several other factors such as crop cultivar [44], geographical growing location [44, 45] comprising climatic conditions and soil mineralogy, post-harvest handling [46], and the range of farming methods within production systems, among others, may influence the crop’s metabolome and subsequently blur the ability to classify samples according to the agricultural production system.…”