Rapid classification of commercial Cheddar cheeses from different brands using PLSDA, LDA and SPA–LDA models built by hyperspectral data

Ultrasound-assisted thawing of frozen white yak meat: Effects on thawing rate, meat quality, nutrients, and microstructure

“…As shown in the VIP plots ( Fig. 4 D), the VIP values for 2,4-heptadienal, 2,4-ethylhexanol, heptanal, hexyl butyrate, L-alanine-ethy, hexadecanal, 1-pentadecanal, 1-octanol, hexanoic acid, 2-nonanone, 2-butanol, 1-dodecanol, dibutyl phthalate, 3–3,3-dimethyl and 2- trans -dodecenal were greater than 1, suggesting that these volatile compounds were the contributors in the UAT groups and the control group [54] , and 2,4-heptadienal showed the highest VIP, which indicate that 2,4-heptadiena is the key biomarker of the different groups. The PLS-DA has been widely used in screening different sets of characteristic biomarkers.…”

Application and interpretation of deep learning methods for the geographical origin identification of Radix Glycyrrhizae using hyperspectral imaging

“…Therefore, HSI can get both external characteristic information and internal molecular information of samples, providing the possibility for the comprehensive analysis of samples. In recent years, the quality assessment and variety classication of HSI in the elds of agriculture [14][15][16] and food [17][18][19][20][21][22] have attracted increasing attention. It is possible to rapidly and accurately identify the geographical origins of Radix Glycyrrhizae through HSI.…”

A Review of Recent Studies Employing Hyperspectral Imaging for the Determination of Food Adulteration

“…PLS-DA regression coefficients were used to determine the wavelengths differentiating cheddar cheeses of different brands. Higher PLS-DA model performances were obtained by utilizing HSI data rather than texture and color data [55].…”