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1.
Anal Chim Acta ; 1278: 341761, 2023 Oct 16.
Artículo en Inglés | MEDLINE | ID: mdl-37709437

RESUMEN

BACKGROUND: Nuclear magnetic resonance (NMR) spectroscopy is one of the well-established tools for food metabolomic analysis, as it proved to be very effective in authenticity and quality control of dairy products, as well as to follow product evolution during processing and storage. The analytical assessment of the EU mountain denomination label, specifically for Parmigiano Reggiano "Prodotto di Montagna - Progetto Territorio" (Mountain-CQ) cheese, has received limited attention. Although it was established in 2012 the EU mountain denomination label has not been much studied from an analytical point of view. Nonetheless, tracing a specific profile for the mountain products is essential to support the value chain of this specialty. RESULTS: The aim of the study was to produce an identity profile for Parmigiano Reggiano "Prodotto di Montagna - Progetto Territorio" (Mountain-CQ) cheese, and to differentiate it from Parmigiano Reggiano PDO samples (conventional-PDO) using 1H NMR spectroscopy coupled with multivariate data analysis. Three different approaches were applied and compared. First, the spectra-as-such were analysed after proper preprocessing. For the other two approaches, Multivariate Curve Resolution-Alternating Least Squares (MCR-ALS) was used for signals resolution and features extraction, either individually on manually-defined spectral intervals or by reapplying MCR-ALS on the whole spectra with selectivity constraints using the reconstructed "pure profiles" as initial estimates and targets. All approaches provided comparable information regarding the samples' distribution, as in all three cases the separation between the two product categories conventional-PDO and Mountain-CQ could be highlighted. Moreover, a novel MATLAB toolbox for features extraction via MCR-ALS was developed and used in synergy with the Chenomx library, allowing for a putative identification of the selected features. SIGNIFICANCE: A first identity profile for Parmigiano Reggiano "Prodotto di Montagna - Progetto Territorio" obtained by interpreting the metabolites signals in NMR spectroscopy was obtained. Our workflow and toolbox for generating the features dataset allows a more straightforward interpretation of the results, to overcome the limitations due to dimensionality and to peaks overlapping, but also to include the signals assignment and matching since the early stages of the data processing and analysis.


Asunto(s)
Queso , Análisis de Datos , Biblioteca de Genes , Metabolómica , Análisis Multivariante
2.
Nutr Metab Cardiovasc Dis ; 23(2): 136-43, 2013 Feb.
Artículo en Inglés | MEDLINE | ID: mdl-21802266

RESUMEN

BACKGROUND AND AIM: Dietary fibers (DF) are linked to a reduced risk of life-style diseases, which relate to their physiological effects in the gastrointestinal tract. The aim was to examine whether flaxseed DF-enriched meals suppress postprandial lipemia and reduce appetite. METHODS AND RESULTS: Four different iso-caloric meals were tested in 18 young men in a double-blind randomized crossover design. Test meals were served after an overnight fast. DF content and source were: control (C): 1.4 g/MJ; whole flaxseed (WF): 2.4 g/MJ from whole flaxseeds; low-mucilage dose (LM): 2.4 g/MJ from flaxseed DF; high-mucilage dose (HM): 3.4 g/MJ from flaxseed DF. During the 7 h test day, subjective appetite sensation was assessed using visual analogue scales and appetite-regulating hormones, and lipemia and glycemia were measured, after which ad libitum energy intake was recorded. There was a significant time × meal effect on triacylglycerols (TG) (p = 0.02) and an 18% smaller area under the curve (AUC) for TG after meal HM compared to meal C was observed (p < 0.01). AUC for insulin was smaller after both LM and HM meals compared to C and WF meals. Higher mean ratings of satiety (p < 0.01) and fullness (p = 0.03) was seen following the HM meal compared to meal C. AUC for ghrelin, CCK and GLP-1 and ad libitum energy intake did not differ between meals, but ghrelin response exhibited a different response pattern after the mucilage-containing meals. CONCLUSION: These findings suggest that flaxseed DF may suppress postprandial lipemia and appetite although subsequent energy intake was not affected.


Asunto(s)
Apetito/efectos de los fármacos , Fibras de la Dieta/administración & dosificación , Lino/química , Hiperlipidemias/tratamiento farmacológico , Periodo Posprandial/efectos de los fármacos , Saciedad/efectos de los fármacos , Adolescente , Adulto , Glucemia/análisis , Estudios Cruzados , Método Doble Ciego , Ingestión de Energía , Ghrelina/sangre , Péptido 1 Similar al Glucagón/sangre , Humanos , Insulina/sangre , Masculino , Triglicéridos/sangre , Adulto Joven
3.
J Magn Reson ; 202(2): 190-202, 2010 Feb.
Artículo en Inglés | MEDLINE | ID: mdl-20004603

RESUMEN

The increasing scientific and industrial interest towards metabonomics takes advantage from the high qualitative and quantitative information level of nuclear magnetic resonance (NMR) spectroscopy. However, several chemical and physical factors can affect the absolute and the relative position of an NMR signal and it is not always possible or desirable to eliminate these effects a priori. To remove misalignment of NMR signals a posteriori, several algorithms have been proposed in the literature. The icoshift program presented here is an open source and highly efficient program designed for solving signal alignment problems in metabonomic NMR data analysis. The icoshift algorithm is based on correlation shifting of spectral intervals and employs an FFT engine that aligns all spectra simultaneously. The algorithm is demonstrated to be faster than similar methods found in the literature making full-resolution alignment of large datasets feasible and thus avoiding down-sampling steps such as binning. The algorithm uses missing values as a filling alternative in order to avoid spectral artifacts at the segment boundaries. The algorithm is made open source and the Matlab code including documentation can be downloaded from www.models.life.ku.dk.


Asunto(s)
Algoritmos , Espectroscopía de Resonancia Magnética/instrumentación , Animales , Bases de Datos Factuales , Galvanoplastia , Análisis de Fourier , Humanos , Concentración de Iones de Hidrógeno , Níquel/análisis , Plasma/química , Ratas , Procesamiento de Señales Asistido por Computador , Programas Informáticos , Succinatos/análisis , Succinatos/sangre , Urinálisis/métodos , Vino/análisis
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