High resolution nuclear magnetic resonance spectroscopy (NMR) studies on meat components: potentialities and prospects

The magic angle view to food: magic-angle spinning (MAS) NMR spectroscopy in food science

Nuclear Magnetic Resonance (NMR) spectroscopy has been used in food science and nutritional studies for decades and is one of the major analytical platforms in metabolomics. Many foods are solid or at least semi-solid, which denotes that the molecular motions are restricted as opposed to in pure liquids. While the majority of NMR spectroscopy is performed on liquid samples and a solid material gives rise to constraints in terms of many chemical analyses, the magic angle thrillingly enables the application of NMR spectroscopy also on semi-solid and solid materials. This paper attempts to review how magic-angle spinning (MAS) NMR is used from 'farm-to-fork' in food science.

Metabolic profiling by (1)H NMR of ground beef irradiated at different irradiation doses

This work describes a metabolic profiling study of non-irradiated and irradiated beef (at 2.5, 4.5 and 8 kGy) using (1)H NMR and chemometrics. The assignment of all major NMR signals of the aqueous/methanolic extracts was performed. A comprehensive multivariate data analysis proved the ability to distinguish between the irradiated and non-irradiated beef. Classification trees revealed that three metabolites (glycerol, lactic acid esters and tyramine or a p-substituted phenolic compound) are important biomarkers for classification of the irradiated and non-irradiated beef samples. Overall, the achieved metabolomic results show that the changes in the metabolic profile of meat provide a valuable insight to be used in detecting irradiated beef. The use of the NMR-based approach simplifies sample preparation and decrease the time required for analysis, compared to available official analytical procedures.

Wealth from waste – beef extract for microbiological media from tannery solid waste

Scheme of preparation of beef extract from fleshing waste is novel and no idea or process similar has been reported.

An NMR-based metabolomics study of pork from different crossbreeds and relation to sensory perception

Meat extracts from five different pig crossbreeds including Duroc/Landrace/Yorkshire (DLY), Iberian/Duroc (ID), Iberian/Duroc/Landrace (ILY), Mangalitza/Duroc (MD), and Mangalitza/Landrace/Yorkshire (MLY) were analysed by nuclear magnetic resonance (NMR)-based metabolomics. The results were compared with technological traits and sensory analyses in order to elucidate the potential of NMR-based metabolomics to highlight meat metabolites of importance for technological and sensory attributes of meat. Amino acids including alanine, carnosine, isoleucine, methionine, phenylalanine, and valine, as well as lactate, inosine monophosphate (IMP), inosine, glycerol and choline-containing compounds were found to be significantly affected by crossbreed. The breed-specific differences in the metabolome were ascribed to differences in ante mortem metabolism, differences in the membrane properties and glycolytic potential of muscle fibres and differences in lipolysis and proteolysis. A high content of carnosine in the meat was associated with a low value of many sensory attributes related to meat flavor/taste, while IMP and inosine were in general not correlated with sensory attributes related to meat flavor/taste.

HRMAS-NMR spectroscopy and multivariate analysis meat characterisation

¹H-High resolution magic angle spinning-nuclear magnetic resonance spectroscopy was employed to gain the metabolic profile of longissimus dorsi and semitendinosus muscles of four different breeds: Chianina, Holstein Friesian, Maremmana and Buffalo. Principal component analysis, partial least squares projection to latent structure - discriminant analysis and orthogonal partial least squares projection to latent structure - discriminant analysis were used to build models capable of discriminating the muscle type according to the breed. Data analysis led to an excellent classification for Buffalo and Chianina, while for Holstein Friesian the separation was lower. In the case of Maremmana the use of intelligent bucketing was necessary due to some resonances shifting allowed improvement of the discrimination ability. Finally, by using the Variable Importance in Projection values the metabolites relevant for the classification were identified.

Assessment of meat quality by NMR--an investigation of pork products originating from different breeds

In the present study, meat obtained from uncommon and novel pig crossings between the rare Iberian and Mangalitza pigs and the more frequent Duroc and Landrace/Yorkshire pigs was characterized by time-domain proton NMR relaxometry and high-resolution proton NMR spectroscopy to elucidate the potential of NMR to assess the meat quality of new-introduced pig breeds. Multivariate data analysis of proton NMR T(2) relaxation curves obtained on fresh meat samples revealed differences in the T(2) relaxation pattern of the different breeds included in the study. Comparison of NMR T(2) relaxation data with gravimetric determination of water-holding capacity (WHC) indicated that this should be ascribed to differences in the WHC of the different meats, and that NMR T(2) relaxation in accordance with previous studies provides unique information about WHC, which may be ascribed to the fact that NMR T(2) relaxation reflects information about intrinsic meat structure. High-resolution proton NMR spectroscopy of freeze exudate and meat extracts also revealed differences in the metabolite profile of the meat between the different breeds studied. The effects of breed on the amount of lactate in the freeze exudate were observed, which could be linked to WHC of the meat. In conclusion, the different NMR techniques applied could provide complementary information about biophysical and biochemical factors of importance for meat quality assessment.

The HRMAS-NMR tool in foodstuff characterisation

High resolution magic angle spinning, that is, HRMAS, is a quite novel tool in NMR spectroscopy; it offers the almost unique opportunity of measuring intact tissues disguised as suspended or swollen in a deuterated solvent. The feasibility of (1)H-HRMAS-NMR in foodstuff characterisation has been exploited, but in spite of this, its applications are still limited. Metabolic profiling and biopolymer composition and aggregation are the topics investigated until now for raw vegetables, meat and processed foodstuff. Almost all known studies are reported in the next pages.

Discrimination of the geographical origin of beef by (1)H NMR-based metabolomics

The geographical origin of beef is of increasing interest to consumers and producers due to "mad cow" disease and the implementation of the Free Trade Agreement (FTA). In this study, (1)H NMR spectroscopy coupled with multivariate statistical analyses was used to differentiate the geographical origin of beef samples. Principal component analysis (PCA) and orthogonal projection to latent structure-discriminant analysis (OPLS-DA) showed significant separation between extracts of beef originating from four countries: Australia, Korea, New Zealand, and the United States. The major metabolites responsible for differentiation in OPLS-DA loading plots were succinate and various amino acids including isoleucine, leucine, methionine, tyrosine, and valine. A one-way ANOVA was performed to statistically certify the difference in metabolite levels. The data suggest that NMR-based metabolomics is an efficient method to distinguish fingerprinting difference between raw beef samples, and several metabolites including various amino acids and succinate can be possible biomarkers for discriminating the geographical origin of beef.

Metabolomic characterization of Italian sweet pepper (Capsicum annum L.) by means of HRMAS-NMR spectroscopy and multivariate analysis

HRMAS-NMR spectroscopy was used to assess the metabolic profile of sweet pepper (Capsicum Annum L.). One-dimensional and two-dimensional NMR spectra, performed directly on sample pieces of few milligrams, hence without any chemical and/or physical manipulation, allowed the assignment of several compounds. Organic acids, fatty acids, amino acids, and minor compounds such as trigonelline, C4-substituted pyridine, choline, and cinnamic derivatives were observed with a single experiment. A significant discrimination between the two sweet pepper varieties was found by using partial least-squares projections to latent structures discrimination analysis (PLS-DA). The metabolites contributing predominantly to such differentiation were sugars and organic and fatty acids. Also a partial separation according to the geographical origin was obtained always by analyzing the NMR data with PLS-DA. Some of the discriminating molecules are peculiar for pepper and contribute to define the overall commercial and organoleptic quality so that HRMAS-NMR proved to be a complementary analysis to standard tools used in food science and, in principle, can be applied to any foodstuff.

Pre-selection of potential molecular markers for the geographic origin of dried beef by HR-MAS NMR spectroscopy

The complexity of meat composition and the requirement of high analytical rates to prevent frauds and, in general, to assess food quality are stimuli to find analytical methods able to detect appropriate indicators of a given quality. We present here an evaluation of 1D (1)H HR-MAS NMR spectroscopy for the selection of potential molecular markers of one specific quality, geographic origin. Dried beef samples of certified origin were tested, and preliminary results on a limited sample set confirmed the good aptitude of this method for rapid food analysis, demonstrated earlier on dairy products. Fat content as well as specific metabolites, probably linked to feeding system, are shown to be good candidates for markers of origin. These results are in agreement with recent studies on the relative impact of genetic and dietary conditions on the metabolic profile of animal specimens. (1)H HR-MAS is thus an interesting tool for pre-screening potential markers, that can complement standard chemical and biochemical analysis.

Geographical origin and breed discrimination of Apulian lamb meat samples by means of analytical and spectroscopic determinations

With the aim of finding parameters capable of characterizing meat according to geographical origin, twenty-five lamb meat samples from three areas located in Apulia (Southern Italy) were analysed for moisture, ash, fat and protein content, stable isotope ratios ((15)N/(14)N and (13)C/(12)C), major elements (Ca, Mg, Na, K) and trace metals (Zn, Cu, Fe, Cr). (1)H high resolution magic angle spinning (HR-MAS) NMR spectra were also obtained for all the samples. The advantages of the (1)H HR-MAS NMR technique are that sample preparation is easy, since the spectrum is obtained directly on the minced solid sample, and that information is acquired for a large number of metabolites (amino acids, fatty acids, sugars, etc.). The application of multivariate statistical analysis to two data sets containing tissue composition results together with the metals contents and (1)H HR-MAS NMR spectral data together with isotope ratios, respectively, provided in both cases a satisfactory origin differentiation of lamb meat samples.