Descriptive and hedonic analyses of low‐Phe food formulations containing corn (Zea mays) seedling roots: toward development of a dietary supplement for individuals with phenylketonuria

Abstract

By evaluating low-Phe food products containing corn roots, this research ascertained that the root-containing low-Phe cereal bar was an acceptable 'natural' dietary supplement for PKU-affected individuals.

Effect of Micronutrient Powder Addition on Sensory Properties of Foods for Older Adults

“…A significant judge effect was present for 2 attributes: tomato flavor and sour. It is not uncommon for a judge effect to be observed, due to natural variation in the way humans perceive and rate sensory attributes (Cliff and others ). There was no significant replication effect, indicating that the evaluations were consistent across the 3 sessions of testing.…”

Quality Evaluation of Green and Dark Tea Grade Using Electronic Nose and Multivariate Statistical Analysis

“…For example, capillary zone electrophoresis (Horie & Kohata, ; Wang, Su, Liang, & Sun, ), ultraperformance liquid chromatography (Moradi, Kiarostami, & Amini, ; Park, Kim, & Shin, ), gas chromatography‐mass spectrometry (Ma et al., ; Yang et al., ), electronic nose (e‐nose), and so on (Banerjee, Chattopadhyay, Tudu, Bhattacharyya, & Bandyopadhyay, ; Wang et al., ; Zhu, Chen, Wang, Niu, & Xiao, ) are widely used in tea quality assessment. Owing to the rapid development of instrumental techniques, component analysis for aroma differences among various teas are becoming less time consuming and laborious (Choudhury, Yabansu, Kalidindi, & Dennstedt, ; Cliff, Law, Luecker, Scaman, & Kermode, ; Marguí & Voutchkov, ). Additionally, as an effective analytical tool, multivariate statistical methods, such as linear discriminant analysis (LDA), principal component analysis (PCA), hierarchical clustering analysis, and partial least squares discriminate analysis, are also combined with the instrument to obtain useful information and simplify the results (Galinsky et al., ; Granato et al., ; Monakhova, Godelmann, Kuballa, Mushtakova, & Rutledge, ).…”