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This work describes a process for producing durum wheat flour fractions with high potential nutritional value using grain pre-milling hydrothermal treatment and ultra-fine grinding (micronization), coupled with air classification. The difference of bioactive value of the flour fractions in relation to dietary fibre and phenolic compounds was monitored on four durum wheat cultivars by analysing total arabinoxylans, water extractable arabinoxylans and 5- n-alkylresorcinols. The extractability of the analysed compounds was most significantly affected by hydrothermal treatment. On average, the hydrothermally treated kernels compared with the untreated ones presented a marked increase of water extractable arabinoxylans and alkylresorcinols (about 25 and 48%, respectively), whereas slightly lower total arabinoxylans content (about 9%) was detected. The air classification applied on micronized kernels produced two flour fractions, coarse and fine, with the last showing, irrespective of the hydrothermal treatment, an increment of alkylresorcinols (24 and 22% in untreated and treated samples) and of total arabinoxylans (13 and 20% in untreated and treated samples) in comparison with the coarse one. The fine fraction (particles ≤ 120 µm), resulting richer in bioactive compounds, provides an interesting raw material to enrich traditional semolina in which, due to the removal of the external layers, the losses of total arabinoxylans and of alkylresorcinols were more than 60 and 90% alkylresorcinols, respectively, if compared with whole wheat grain.

The 5-n-alkylresorcinol (AR) contents of thirty different cultivars of durum wheat grown in two years (2009 and 2010) in two Italian locations were determined and related to the total soluble phenolic content (TPC) and antiradical activity (AA). On average, AR and TPC ranged from 161.3 to 405.8 μg/g (dry matter, DM) and from 19.0 to 192.4 μg/g (DM), respectively. AA (EC50 values) ranged from 70.9 to 289.2 mg of dry whole milled wheat grain (DM). The results showed that the environment (E) and the genotype (G), as well as their interactions (G × E), significantly influenced the phytochemical profiles of the samples. The contribution of G × E to the total variance was much lower than that due to the separate effects (G and E). Principal component analysis identified genotypes that were richer in ARs and more stable across environments. There were significant negative correlations between ARs and TPC (p

A rapid accurate and precise method for simultaneous determination of β-glucan and protein content in naked oat samples, based on the coupling of near-infrared spectroscopy and chemometrics, is presented. In particular, three different spectroscopic approaches [near infrared reflectance (NIR) and transmittance (NIT) on flour and NIT on whole grains] and various spectral pretreatments were considered. To account for the possibility of outlying samples, a robust version of the PLS algorithm (namely partial robust M-regression) was used. All the models resulted as accurate as the reference methods, reflectance spectroscopy being the technique providing the best outcomes. Variable reduction by inclusion of the most relevant predictors only (as evaluated by VIP scores) resulted in simpler and, in one case, more parsimonious models, without loss in accuracy.