Nuclear Magnetic Resonance Metabolomics with Double Pulsed-Field-Gradient Echo and Automatized Solvent Suppression Spectroscopy for Multivariate Data Matrix Applied in Novel Wine and Juice Discriminant Analysis.

The quality of foods has led researchers to use various analytical methods to determine the amounts of principal food constituents; some of them are the NMR techniques with a multivariate statistical analysis (NMR-MSA). The present work introduces a set of NMR-MSA novelties. First, the use of a double pulsed-field-gradient echo (DPFGE) experiment with a refocusing band-selective uniform response pure-phase selective pulse for the selective excitation of a 5-10-ppm range of wine samples reveals novel broad 1H resonances. Second, an NMR-MSA foodomics approach to discriminate between wine samples produced from the same Cabernet Sauvignon variety fermented with different yeast strains proposed for large-scale alcohol reductions. Third a comparative study between a nonsupervised Principal Component Analysis (PCA), supervised standard partial (PLS-DA), and sparse (sPLS-DA) least squares discriminant analysis, as well as orthogonal projections to a latent structures discriminant analysis (OPLS-DA), for obtaining holistic fingerprints. The MSA discriminated between different Cabernet Sauvignon fermentation schemes and juice varieties (apple, apricot, and orange) or juice authentications (puree, nectar, concentrated, and commercial juice fruit drinks). The new pulse sequence DPFGE demonstrated an enhanced sensitivity in the aromatic zone of wine samples, allowing a better application of different unsupervised and supervised multivariate statistical analysis approaches.

Comparative NMR Metabolomics Profiling between Mexican Ancestral & Artisanal Mezcals and Industrialized Wines to Discriminate Geographical Origins, Agave Species or Grape Varieties and Manufacturing Processes as a Function of Their Quality Attributes.

The oenological industry has benefited from the use of Nuclear Magnetic Resonance (1H-NMR) spectroscopy in combination with Multivariate Statistical Analysis (MSA) as a foodomics tool for retrieving discriminant features related to geographical origins, grape varieties, and further quality controls. Said omics methods have gained such attention that Intergovernmental Organizations and Control Agencies are currently recommending their massive use amongst countries as quality compliances for tracking standard and degradation parameters, fermentation products, polyphenols, amino acids, geographical origins, appellations d'origine contrôlée and type of monovarietal strains in wines. This study presents, for the first time, a 1H-NMR/MSA profiling of industrial Mexican wines, finding excellent statistical features to discriminate between oenological regions and grape varieties with supervised Orthogonal Projections to Latent Structures Discriminant Analysis (OPLS-DA). In a comparative way, it is applied with the 1H-NMR/OPLS-DA workflow for the first time in ancestral and artisanal Mexican mezcals with promising results to discriminate between regions, agave species and manufacturing processes. The central aim of this comparative study is to extrapolate the know-how of wine-omics into the non-professionalized mezcal industry for establishing the NMR acquisition, preprocessing and statistical analysis basis to implement novel, non-invasive and highly reproducible regional, agave species and manufacturing-quality controls.

Solid-state NMR spectroscopy for disentangling structural and motional features of lyophilized ripened cheese water-soluble extracts related to antimicrobial activity.

Present work comprises the use of different solid-state Nuclear Magnetic Resonance strategies for characterizing structural and motional aspects of the peptide matrix that compose a set of four lyophilized Mexican cheese aqueous soluble extracts, each with a controlled ripening. Heteronuclear dipolar coupling modulation schemes allowed to characterize local mobility and structural homogeneity of cheeses' peptide segments in the solid-state as a function of ripening. Results suggest that ripened samples with certain local flexibility but important structural homogeneity present efficient microbial inhibition against tested bacterial strains, whilst high local rigidity of peptides within ripened cheese soluble fractions could partially explain the observed lack of antimicrobial activity. The present study attempts to propose novel observables for lyophilized cheese water soluble extracts that could be partially associated to their ripening-dependent antimicrobial activities, whereas said observables shall contribute to the better targeting, design and optimization of solid-state natural food bio-preservatives.

Quality attributes of partially hydrolyzed collagen in a liquid formulation used for skin care.

BACKGROUND: The deterioration of the skin accentuates over time, affecting its aesthetic appearance. This is characterized by the weakening of the mechanisms involved in the regeneration and repair of the dermal matrix. Consequently, the skin losses elasticity and smoothness resulting in the formation of wrinkles. The alternatives for facial rejuvenation include surgery, injection of botulinum toxin, and the application of masks. Topic products are less invasive, can be self-applied, and have an increased benefit/risk relationship. AIM: We developed a liquid formulation containing collagen hydrolyzed and evaluated the product by cutting-edge technology in order to define proper its quality attributes. METHODS: We employed nuclear magnetic resonance (NMR), size-exclusion chromatography (SEC), and mass spectrometry (MS). Additionally, we analyzed its cosmetical effect in five volunteers and we demonstrate the product safety. RESULTS: Our results demonstrate the following: (a) a stable secondary structure identity associated to the known triple helix arrangement in liquid and solid states; (b) a typical conformational flexibility depending on its hydration state; (c) thermal stability confirmed by liquid- and solid-state nuclear magnetic resonance schemes; and (d) a molecular mass distribution of peptides between 0.5 and 19.5 kDa. The product faded wrinkles in the forehead, an effect that remained after removing the mask. The formula was non-irritating and hypoallergenic. CONCLUSION: We characterized, using state-of-the-art methodologies, the quality attributes that are critical for the safety and beneficial effect of a new collagen-containing formula.

Identity Profiling of Complex Mixtures of Peptide Products by Structural and Mass Mobility Orthogonal Analysis.

Identity is a critical quality attribute that must be determined before releasing batches of medicinal and dietary products. However, the identities of peptide-derived products composed of a large number of diverse molecules is challenging since most analytical techniques cannot analyze multiple molecules simultaneously. Here, we proposed the determination of the weight-average molecular weight (Mw) and polydispersity index (PDI) by mass spectrometry for control quality for the batch release of complex products, namely, glatiramer acetate (Copaxone), collagen hydrolysate (Colagenart), and a human dialyzable leucocyte extract (Transferon). The Mw and PDI values were orthogonally determined by PFG-STE-H2O(presaturation)-DOSY-NMR analysis. To the best of our knowledge, this is the first time that MS and NMR spectra have been combined to determine the PDI of complex products derived from protein hydrolysis that are not monodisperse. The performance of each method was evaluated by comparing the obtained results to those reported for glatiramer acetate using MALLS, the technique commonly employed to determine PDI. This combined approach demonstrates the ability of these techniques to separate peptide populations from complex mixtures to establish their identity through their mass distribution profiles.