Discrimination and sensory description of beers through data fusion

Combined chemometric analysis of 1H NMR, 13C NMR and stable isotope data to differentiate organic and conventional milk

“…Several studies described data fusion techniques combining chemical data of different analytical methods (Dearing, Thompson, Rechsteiner, & Marquardt, 2011;Mas, Tauler, & de Juan, 2011;Pere-Trepat & Tauler, 2006;Smilde, van der Werf, Bijlsma, van der Werff-van der Vat, & Jellema, 2005;Vera et al, 2011;Xu, Correa, & Goodacre, 2013). Most of them applied fused chromatographic techniques with a complementary analytical tool (Forshed, Idborg, & Jacobsson, 2007;Mas et al, 2011;Pere-Trepat & Tauler, 2006;Vera et al, 2011).…”

“…Most of them applied fused chromatographic techniques with a complementary analytical tool (Forshed, Idborg, & Jacobsson, 2007;Mas et al, 2011;Pere-Trepat & Tauler, 2006;Vera et al, 2011). Several studies applied the combination of different vibrational methods (Andreotti et al, 2000;Brescia et al, 2004).…”

Geographical classification of Chinese Cabernet Sauvignon wines by data fusion of ultraviolet-visible and synchronous fluorescence spectroscopies: the combined use of multiple wavelength differences

“…Fusion of the data from various techniques improves the classification ability in contrast to the individual use of the techniques and is particularly attractive in food authentication (Casale et al 2010a, Di Anibal et al 2011, Vera et al 2011, Gutiérrez et al 2013, Banerjee et al 2014, Biancolillo et al 2014, Drivelos et al 2014, Monakhova et al 2014, Ouyang et al 2014. Recent impressive examples involve the differentiation of a high-quality Italian craft beer (Reale) from other products based on the data fusion of thermogravimetry, NIR, MIR and UV-VIS spectroscopies (Biancolillo et al 2014), and the assessment of sensory quality of Chinese rice wine by the data fusion of electronic eye, nose and tongue (Ouyang et al 2014).…”

Unveiling the identity of distant targets through advanced Raman-laser-induced breakdown spectroscopy data fusion strategies

“…Also for solving problems related to food authentication, data collected from near (NIR) and middle (MIR) infrared spectrometers have been processed both, separately and jointly, using chemometrics to demonstrate the synergistic effect from fused spectroscopic datasets for dealing with classification problems [12,13]. In the same vein, data from mass spectra (MS)-based electronic nose (E-nose), a mid-IR optical-tongue and a UV-visible sensor have been assembled to deal with differences from sensory properties on beer samples of the same brand and commercialized as a same product, but brewed in four different factories [14]. Equally, a data fusion strategy of combining multiple spectroscopic techniques (NIR, Raman, 2D fluorescence and X-ray fluorescence) has been also investigated for the characterization of soy hydrolysates in mammalian cell cultures [15].…”