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Faba bean ingredients are attracting interest for their suitability in producing protein-rich plant-based foods. However, their sensory characteristics (e.g., bitterness) challenge consumer acceptance. This study explored variations in the metabolome and the links between metabolites and sensory attributes using UHPLC-qTOF-MS/MS analysis of faba bean flour, two protein concentrates, and protein isolate. Partial Least Squares regression identified metabolites contributing to sensory descriptors, and it was validated against the VirtuousMultiTaste platform. Genetic variation and processing methods contributed to the metabolite composition of faba bean ingredients. We annotated 115 compounds with choline and vicine having the highest relative abundance. Five clusters suggested cultivar-specificity and process-related differences. Several compounds were linked to bitterness and mouth-drying orosensation, including caprolactam, gingerglycolipid, lysine, and vicine. Some compounds were reported as potentially bitter for the first time. This study lays the foundation for further research on the bitterness of these compounds and receptor-level investigations for targeted flavor optimization.
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http://dx.doi.org/10.1016/j.foodchem.2025.143753 | DOI Listing |
Biology (Basel)
August 2025
Institute of Agro-Product Processing, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China.
Faba bean ( L.), a nutrient-rich legume beneficial to human health, is valued for its high L-3,4-dihydroxyphenylalanine (L-DOPA) and phenolic content. This study investigated phytochemical diversity and bioactivity across 29 Chinese faba bean varieties.
View Article and Find Full Text PDFBMC Plant Biol
August 2025
Botany and Microbiology Department, Faculty of Science, Zagazig University, Zagazig, 44519, Egypt.
In light of the detrimental consequences of climate change and global warming, drought (water deficit) has emerged as a major abiotic stressor that adversely affects plant development, productivity, and sustainable agriculture globally. Vicia faba L. (faba bean), a highly nutritious leguminous crop, is especially vulnerable to water scarcity.
View Article and Find Full Text PDFFoods
August 2025
Advanced Food Systems Research Unit, Institute for Sustainable Industries and Liveable Cities, College of Sports, Health and Engineering, Victoria University, Melbourne, VIC 8001, Australia.
Commercially relevant processing conditions, including protein concentration, pH and shearing and their impact on the solubility, heat stability, and secondary structure of faba bean proteins (FBPIs), were studied. Most of the examined properties, including protein solubility and heat stability, were due to the simultaneous effects of pH and concentration. The shearing rate played a crucial role in determining the heat stability of FBPI during thermal processing through protein molecular activities, such as inter- and/or intramolecular force interactions.
View Article and Find Full Text PDFInsects
August 2025
Department of Plant Production, College of Food Science and Agriculture, King Saud University, P.O. Box 2460, Riyadh 11451, Saudi Arabia.
Broad bean is one of the most important leguminous crops worldwide. However, its productivity is greatly affected by the infestation of and (Hemiptera: Aphididae). The main objective of the current study was to identify the most susceptible phenological stages of the broad bean variety (Histal) against black aphids' herbivory.
View Article and Find Full Text PDFFood Sci Nutr
September 2025
Department of Food Engineering, Faculty of Engineering Ege University İzmir Türkiye.
Extrusion is an innovative technology for improving the techno-functional and nutritional properties of pulse flours. This study aimed to optimize extrusion conditions for broad bean and mung bean flours and to assess their potential in bread making. Die temperature (135°C-165°C) and screw speed (200-300 rpm) were optimized using response surface methodology, with water absorption index (WAI), phytic acid (PA), and insoluble dietary fiber (ISDF) as response variables.
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