An integrated approach using UHPLC-PDA-HRMS and 2D HSQC NMR for the metabolic profiling of the red alga Laurencia: dereplication and tracing of natural products.

The global metabolic profile of Laurencia crude red algal extracts was addressed by applying high-throughput analytical techniques, namely UHPLC­PDA­HRMS and 2D HSQC NMR. An integrated platform including software tools and databases, such as Xcalibur, ToxID, ACD/Labs and MarinLit, has been developed to mine the complex analytical data towards the accelerated identification of known metabolites and the detection of new natural products at the early stages of phytochemical analysis. In parallel, a searchable 'in-house' Laurencia-focused NMR database incorporating chemical structures, NMR spectroscopic data and reported biological activities has been generated. The screening strategy has been developed as a tool to prioritize the crude extracts to be further subjected to phytochemical analysis by tracing the presence of new natural products among the pool of known compounds. The successful application of this integrated methodology in the crude extract of Laurencia chondrioides led to the rapid detection of two new C15 bromoallene acetogenins (1 and 2), which were subsequently isolated and characterized.

NMR metabolite profiling of Greek grape marc spirits.

This (1)H NMR based study profiles metabolites in Greek grape marc distillates, tsipouro and tsikoudia. Eightysix samples of indigenous and international varieties, stemming from major vine growing regions of Greece were investigated. The monitoring protocol addressed the global metabolic profile of untreated samples and accomplished the unambiguous assignment of 35 metabolites. NMR spectra were acquired by applying the robust, sensitive and rapid WET1D NMR pulse sequence, which succeeded to unveil the presence of minor compounds in a high ethanol matrix. PCA classified the samples according to their provenance, incorporating also information related to the variety, vintage year and production process within each formed regional assembly. Metabolites such as fusel alcohols, polyols, ethyl esters, mono- and di-saccharides were associated with the classification of samples. OPLS-DA ascribed to samples of common regional entity characteristic genotypic metabolites and probed to the potential influence of the vintage effect. Finally, metabolite profiling underlined the influence of the fermentation and distillation procedures.