An integrative multi-omics approach aimed to gain insight on the effect of composition, style, yeast, and wheat species on wheat craft beer flavour.

This study was aimed to unravel the effect of raw materials (barley and wheat), wheat concentration (0, 25, 40, and 100 %), wheat species (common and durum), beer style (Blanche and Weiss), and yeast (US-05 and WB-06) on the chemical composition, volatiles, and sensory profile of wheat craft beers by using a multivariate statistical approach. Beer samples were analysed for their composition, volatiles and sensory profile and data were processed using unsupervised multivariate analyses, PLS regression and a multi-omics approach using multi-block PLS-DA. Multi-block variable sparsification was used as an embedded dimension reduction step.

An insight into the impact of climate factors associated with altitude on wheat volatiles' fingerprints at harvest using multivariate statistical analysis.

Background: Climate changes associated with global warming are increasingly affecting the quality of cultivated crops. Cultivation at different altitudes and similar latitudes may offer an extraordinarily useful opportunity to obtain a diversificated dataset of climate variables and to further investigate their effect on crop quality. This study evaluated the effect of climate indices - temperature, rainfall precipitation and solar radiation data - on commercial parameters and the volatile organic compound (VOC) profile of wheat at harvest.

Long-Term In Situ Conservation Drove Microevolution of Solina d'Abruzzo Wheat on Adaptive, Agronomic and Qualitative Traits.

Solina is an example of a bread wheat landrace that has been conserved in situ for centuries in Central Italy. A core collection of Solina lines sampled in areas at different altitudes and climatic conditions was obtained and genotyped. A clustering analysis based on a wide SNP dataset generated from DArTseq analysis outlined the existence of two main groups, which, after F analysis, showed polymorphism in genes associated with vernalization and photoperiod response.

A unifying approach to wheat beer flavour by chemometric analyses. Could we speak of 'terroir'?

Raw materials are recognized to affect the sensory profile of 'Blanche' craft beers and their 'terroir'. Two common wheat ( L.) were harvested in three experimental fields with different pedo-climatic conditions and altitudes, and then used for beer production.

Unravelling the role of sodium chloride and hydroxytyrosol on the colloidal properties and oxidative stability of olive oil-based o/w emulsions: A multivariate statistical approach.

The individual and combined effect of sodium chloride and hydroxytyrosol on the colloidal properties and the chemical and physical stability of olive oil-in-water emulsions was explored by multivariate statistical analysis. Sodium chloride affected the dispersion degree of the emulsions causing an increase of droplet size and inducing flocculation phenomena; however, during storage, the presence of hydroxytyrosol, when added in combination with 2% and 5% of NaCl, retarded samples physical destabilization. A protective effect of salt on lipid hydroperoxides, over storage, was highlighted, mainly at the highest concentrations used.

Heritage and modern wheat varieties discrimination by volatiles profiling. Is it a matter of flavor?

Nowadays, the interest in ancient wheat is increasing and this trend point towards the local production of crops and is connected to sustainability. In this study, two ancient wheat (Solina and Cappelli) and four modern (common and durum) varieties were cultivated in experimental fields sited at three different altitudes for three consecutive years in the Abruzzo region. The six wheat varieties were analysed by solid phase microextraction coupled with gas chromatography-mass spectrometry and a chemometric approach.

Exploration of the Genetic Diversity of Solina Wheat and Its Implication for Grain Quality.

Different Solina wheat accessions ( = 24) collected in the Abruzzo region (Italy) were studied using 45,000 SNP markers generated from the DarTseq platform. The structure of genetic data was analyzed by Principal Component Analysis and Hierarchical Cluster analysis that revealed the existence of two main clusters (Clu1 and Clu2) characterized by samples with different geographical origin. The Solina genetic dataset was further merged and analyzed with a public genetic one provided by CIMMYT containing 25,963 genotypes from all over the world.

Reparameterization of the Weibull model for practical uses in food science.

The reparameterization of the Weibull cumulative distribution function and its survival function was performed to obtain meaningful parameters in food and biological sciences such as the lag phase (λ), the maximum rate ( ), and the maximum increase/decrease of the function (A). The application of the Lambert function was crucial in order to achieve an explicit mathematical solution. Since the reparameterized model is applicable only when the shape parameter (α) is greater than one, the Weibull model was modified with the introduction of a new parameter ( ) that represents the model rate at time β (scale parameter).

Volatiles profile of 'Blanche' wheat craft beer as affected by wheat origin: A chemometric study.

The aroma of craft beers is recognized to affect their overall acceptability and drinkability. Raw materials can affect the volatile organic compounds (VOCs) of beers and their aroma. The VOCs profile of wheat craft beers produced with wheat (Triticum aestivum, L.

Quantitatively unravelling the effect of altitude of cultivation on the volatiles fingerprint of wheat by a chemometric approach.

The cultivation of crops at high elevations in response to climate changes leads to modifications in the volatile organic compounds (VOCs) profile. The VOCs profile of common and durum wheat grown in different fields sited at three different elevations over two years was analysed. Partial least square analysis (PLS2) evidenced the effect of altitude on VOCs variance that was hidden among others (cultivation year, species, farm) not correlated with it.

Could environmental effect overcome genetic? A chemometric study on wheat volatiles fingerprint.

A deeper knowledge of the causes of volatile organic compounds (VOCs) variance in wheat is crucial for quality improvement and control of its derivatives. The VOCs profile of common and durum wheat kernels grown in different fields sited at different altitudes over two years was analysed and 149 compounds were identified by gas chromatography-mass spectrometry. Principal component analysis evidenced that the year of cultivation was the highest source of VOCs variance.

Wheat classification according to its origin by an implemented volatile organic compounds analysis.

Food volatile organic compounds (VOCs) analysis is a useful tool in authentication and classification processes, but, to date, the analysis of wheat VOCs is still little explored. In this study a method of analysis based on solid phase microextraction coupled with gas chromatography-mass spectrometry was optimized by testing different types of fibers, sample preparation methods and amounts, extraction temperatures and times, desorption times and oven programs. The analysis was applied to six wheat cultivars harvested in different areas, and permitted to identify 158 VOCs, of which 98 never found before.