Olfactory perceptual interactions of maltol with key food odorants in binary mixtures: Scatter matrix statistical analysis of odor intensity in heterogeneous perceptual situation.

To study the olfactory perceptual interaction of odorants (OPIO) in binary mixtures containing maltol, a simple and efficient analysis method was developed. This method correlated three variables of the binary mixture: two rates of change in perceived odor intensities of two odorants within the binary mixtures, and the degree of overall odor synergy exhibited by the binary mixtures. By creating a three-dimensional scatter matrix with the variables, the changes in odor intensity of the binary mixture due to OPIO were visualized. The results revealed that the proportions of mutual antagonism, opposite effect, mutual independence, and mutual synergy in the binary mixtures were 64.7%, 32.9%, 1.9%, and 0.5%, respectively. The odor of maltol was mainly masked, and those of esters (68%), aldehydes and ketones (33%) in the mixture were enhanced. In terms of overall odor intensity, 67% of cases involved partial addition, followed by 22.2% overshadowing, and 19.6% stronger component effect.

Insights into the key odorants in fresh and dried Amomum tsaoko using the sensomics approach.

To identify the key odorants in Amomum tsaoko (AT), volatiles in fresh AT (FAT) and dried AT (DAT) were investigated using molecular sensory science. In addition to this, the sensomics approach was used to confirm the presence of the compound in FAT that contributed the most to its aroma profile. A total of 49 odor-active compounds (43 in FAT and 42 in DAT) with flavor dilution (FD) factors ranging from 1 to 6561 were identified, with eucalyptol exhibiting the highest FD factor of 6561. Odorants with FD factors ≥ 27 were quantitated, and 23 and 20 compounds in FAT and DAT, respectively, with odor activity value ≥ 1 were determined as key odorants. Recombination and omission experiment further indicated that (E)-2-dodecenal, geranial, octanal, (E)-2-octenal, (E)-2-decenal, and eucalyptol contributed significantly to the overall aroma profile of FAT. After drying of FAT, the concentrations of aldehydes decreased significantly, whereas those of terpene hydrocarbons increased. Multivariate statistical analysis revealed that 26 FAT and 23 DAT odorants were biomarker compounds.

Comparative Analysis of Volatile Flavor Compounds in Seven Mustard Pastes via HS-SPME-GC-MS.

To identify the volatile flavor components in mustard paste (MP), the volatile compounds in seven MPs available on the market were isolated and analyzed by headspace solid-phase microextraction combined with gas chromatography-mass spectrometry. A total of 27 volatile constituents were found by mass spectra and retention index compared to the data obtained from reference compounds or the related literature and databases; these compounds included nine esters, three sulfur-containing compounds, two nitriles, three ketones, three alkenes, and seven other compounds. Of the 27 compounds, 6 compounds came from the turmeric added to MPs. Among the components detected, some compounds derived from AITC were allyl thiocyanate, carbon disulfide, allyl mercaptan, diallyl sulfide, and diallyl disulfide. The results obtained provide a better and comprehensive recognition of the volatile flavor compounds in MPs, and have some reference values for developing and applying isothiocyanate compounds.