An assessment of the sensory drivers influencing consumer preference in infant formula, assessed via sensory evaluation and GC-O-MS.

Consumer partiality for food products is related to purchase and consumption behavior, and are influenced by sensory preferences. The sensory and chemical drivers behind consumer preference in the infant formula (IF) were analyzed. A total of 31 aroma-active compounds were identified, playing an important role in the production of off-flavors (especially fishy). Combined with the correlation analysis, the key aroma substances affecting the sensory attributes of IF were initially identified. A21, A22, B9 represented the key substances responsible for producing milky and creamy, while A2, A5, A11, A12, B5, C15, H5 primarily produced fishy. In addition, the two sensory attributes namely milky and creamy, and the T-sweet were more strongly correlated with consumer preference. Therefore, it can be concluded that consumers are more interested in the main flavor of the product than the off-flavor. These findings will inform the quality control of IF and the maintenance of sensory quality.

Sensory omics combined with mathematical modeling for integrated analysis of retronasal Muscat flavor in table grapes.

This study focused on analyzing the aroma formation mechanism of retronasal muscat flavor in table grapes. The sensory characteristics and fragrance components of table grape juice with different intensities of Muscat were investigated using GC-Quadrupole-MS, quantitative descriptive analysis and three-alternate forced choice. Free monoterpenoids were the main contributors to the retronasal Muscat flavor. The contribution of Muscat compounds to this flavor was quantified by Stevens coefficient, the most and the least sensitive compounds to concentration changes were citronellol and linalool, respectively. To predict the Muscat flavor intensity by mathematical modeling, established a model between Muscat flavor intensity and monoterpenoids concentration, and an optimal partial least squares regression model with a linear relationship between natural logarithms was obtained. These findings provide reference for understanding the formation mechanism of specific aromas in fruits and provide a basis for the development and quality control of processed products such as Muscat flavor grape juice.

Transcriptome and Metabolomics Integrated Analysis Reveals Terpene Synthesis Genes Controlling Linalool Synthesis in Grape Berries.

In this study, four hybrids from the cross between "Italia" and "Tamina" grapes were chosen to investigate their distinct monoterpenoids patterns and candidate genes involved. Monoterpenoid profiles and transcriptome data were generated at four berry developmental stages. Trans-rose oxide, cis-rose oxide, citronellol, neral, nerol, nerol oxide, geraniol, geranial, geranic acid, and cis-isogeraniol were the dominant compounds in R250 hybrid, while linalool, hotrienol, linalool oxide pyranoside, and cis-furan linalool oxide were the main compounds in R77 hybrid. Six TPS-g subfamily genes were found related with the contents of linalool and its related monoterpenoids by weighted gene coexpression network analysis (WGCNA) and phylogenetic analysis. Among them, TPS59 was cloned and functionally verified by transient overexpression in the leaves of Vitis quinquangularis. Meanwhile, NAC (newGene_195), C2C2-GATA (VIT_15s0021g02510), and bHLH (VIT_14s0128g00110) were selected as candidate transcription factors (TFs) that could regulate the expression of the six TPS-b genes. These data enhanced our understanding on the regulation of monoterpenoid biosynthesis in grapes.