Fine flavor properties of chocolates such as fruity, floral, and cocoa-like were decoded on a molecular level for the first time. The molecular compositions of six chocolates made out of liquors that were referenced with specific sensory attributes were analyzed. After the screening for odor-active molecules by aroma extract dilution analysis, selected compounds were quantitated with the overall aim to decode the distinct fine flavor attributes on a molecular level. Acidic and fruity flavor notes were associated with high dose over threshold factors (DoT factors) of acetic acid and fruity smelling esters such as ethyl 2-methylbutanaote, ethyl 3-methylbutanoate, and 3-methylbutyl acetate, respectively. Cocoa-like and roasty flavor notes were associated with high DoT factors for 2-methylbutanal, 3-methylbutanal, 4-hydroxy-2,5-dimethylfuran-3(2)-one, and dimethyltrisulfane. The floral and astringent flavors were linked to high DoT factors of (-)-epicatechin, procyanidin B2, procyanidin C1, and 2-phenylethan-1-ol.
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http://dx.doi.org/10.1021/acs.jafc.2c04166 | DOI Listing |
Breed Sci
September 2024
Crop Research Laboratories, Sapporo Breweries Ltd., 37-1 Nittakizaki, Ota, Gunma 370-0321, Japan.
Hokkaido-specific malting barley varieties have been developed to improve the grain yield, disease resistance, malting quality, and brewing quality. In this report we describe the breeding and evaluation of brewing quality of a hulled two-row malting barley ( L.) variety 'Satuiku 5 go' lacking lipoxygenase-1 (LOX-1-less).
View Article and Find Full Text PDFInt J Biol Macromol
January 2025
College of Biological Engineering, Sichuan University of Science & Engineering, Yibin 643000, China; Sichuan Province Engineering Technology Research Center of Liquor-Making Grains, Yibin 643000, China.
Glutinous and japonica sorghum can be applied to different production processes by their amylopectin content and starch structure. However, the differences in the fine structure and physiochemistry properties of their starches, as well as their fermentation properties remain unclear. Compared with japonica sorghum, glutinous sorghum has a higher amylopectin content, short amylose chain content, relative crystallinity, and ∆H, but lower setback (SB), and starch granule size.
View Article and Find Full Text PDFFood Chem
January 2025
Key Laboratory of Jianghuai Agricultural Product Fine Processing and Resource Utilization of Ministry of Agriculture and Rural Affairs, Anhui Engineering Research Center for High Value Utilization of Characteristic Agricultural Products, College of Food and Nutrition, Anhui Agricultural University, Hefei 230036, China. Electronic address:
Although postharvest partial dehydration has been applied to enhance blueberry wine flavor by increasing terpene level, berry decay remains a concern. Melatonin is known to improve fruit resistance during storage, but its role in terpene accumulation in blueberries during postharvest dehydration remains unclear. This study identified aroma-active terpenes of blueberry wines applying aroma extract dilution analysis and revealed the key genes linked to the increased terpenes in dehydrated blueberries.
View Article and Find Full Text PDFBiotechnol J
January 2025
Key Laboratory of Engineering Biology for Low-carbon Manufacturing, Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin, China.
The sesquiterpene (+)-valencene, with its flavor and diverse biological functions, holds promise for applications in the food, fragrance, and pharmaceutical industries. However, the low concentration in nature and high cost of extraction limit its application. This study aimed to construct a microbial cell factory to efficiently produce (+)-valencene.
View Article and Find Full Text PDFPLoS Comput Biol
January 2025
Department of Computer Science, Colorado State University, Fort Collins, Colorado, United States of America.
Complex deep learning models trained on very large datasets have become key enabling tools for current research in natural language processing and computer vision. By providing pre-trained models that can be fine-tuned for specific applications, they enable researchers to create accurate models with minimal effort and computational resources. Large scale genomics deep learning models come in two flavors: the first are large language models of DNA sequences trained in a self-supervised fashion, similar to the corresponding natural language models; the second are supervised learning models that leverage large scale genomics datasets from ENCODE and other sources.
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