Sorghum is a drought-resistant crop widely spread in tropical regions of the American, African, and Asian continents. Sorghum flour is considered the main alternative for wheat flour, and it exhibits gluten-free nature. Generally, conventional wet chemical methods are used to analyze the nutritional profile of sorghum. Since many sorghum plants are available in breeding grounds, the application of conventional methods has limitations due to high cost and time consumption. Therefore, rapid screening protocols have been introduced as nondestructive alternatives. The current review highlights novel and portable devices that can be used to analyze the nutritional composition, color parameters, and pest resistance. Sorghum is often a traditional food item with minimal processing, and the review elaborates on emerging food applications and feasible food product developments from sorghum. The demand for gluten-free products has been rapidly increasing in developed countries. In order to develop food products according to market requirements, it is necessary to screen high-quality sorghum plants. Rapid analysis techniques effectively select the best sorghum types, and the novel tools have outperformed existing conventional methods.
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http://dx.doi.org/10.1111/1750-3841.16008 | DOI Listing |
J Food Sci Technol
January 2025
Department of Food Engineering and Technology, School of Food Engineering, Universidade Estadual de Campinas (UNICAMP), Monteiro Lobato 80, 6121, Campinas, SP 3083-862 Brazil.
Unlabelled: The effects of high hydrostatic pressure (HHP) (400-650 MPa) and holding temperature (25-50 °C) in thermally assisted HHP processing on multi-scale structure of starch (granule, crystalline and molecular), techno-functional properties, and digestibility of sorghum starch (SS) were evaluated. Response surface methodology has verified that the process impact on the modification of SS was dependent primarily on the pressure level. As HHP increased, processed SS progressively lost their granular structure and Maltese cross, indicating gradual structural disorder within the granules.
View Article and Find Full Text PDFStay-green sorghum varieties are known for their drought resistance and ability to retain green biomass during grain filling, making them crucial for sustainable agriculture in arid regions. However, there is limited information on their stover yield (SY) and nutritional quality when both grain and forage are harvested. This study assessed five stay-green sorghum varieties at the Bako Agricultural Research Centre using a randomized complete block design with three replications in 2020, 2021, and 2022.
View Article and Find Full Text PDFInt J Biol Macromol
January 2025
Department of Food Science, University of Arkansas, Fayetteville, AR 72704, USA; Department of Biological and Agricultural Engineering, University of Arkansas, Fayetteville, AR 72701, USA. Electronic address:
The objective of this study was to form sorghum protein gels and explore their application in 3D food printing. Sorghum proteins were used to prepare gels with concentrations of 15 %, 20 %, 25 %, 30 %, and 35 % (w/w) in 70 % ethanol. The gels were evaluated for their rheological and textural properties and utilized as bioinks for 3D printing.
View Article and Find Full Text PDFInt J Biol Macromol
January 2025
Shaanxi Union Research Center of University and Enterprise for Grain Processing Technologies, College of Food Science and Engineering, Northwest A&F University, Yangling 712100, Shaanxi, PR China. Electronic address:
This study aimed to probe the influence of amylose in starch granules on starch modification. Part of the amylose from sorghum starch was removed through warm water leaching, and the samples were then microwaved. The effects of treatments on starch structure, physicochemical properties, and digestibility were researched.
View Article and Find Full Text PDFJ Hazard Mater
January 2025
Shanxi Key Laboratory of Sorghum Genetic and Germplasm Innovation, Sorghum Research Institute, Shanxi Agricultural University, Jinzhong 030600, China.
The partitioning and migrating of antibiotic residues pose a considerable pollution to the river environment. However, a source-specific approach for quantifying the fate of antibiotics is lacking. To further elucidate the migration behavior of antibiotics from different pollution sources in aquatic environments, we introduced a source-specific partition coefficient (S-Kp) based on Positive Matrix Factorization (PMF) model to improve the multimedia model.
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