With the growing global population, the need for food is expected to grow tremendously in the next few decades. One of the key tools to address such growing food demand is minimizing grain losses and optimizing food processing operations. Hence, several research studies are underway to reduce grain losses/degradation at the farm (upon harvest) and later during the milling and baking processes. However, less attention has been paid to changes in grain quality between harvest and milling. This paper aims to address this knowledge gap and discusses possible strategies for preserving grain quality (for Canadian wheat in particular) during unit operations at primary, process, or terminal elevators. To this end, the importance of wheat flour quality metrics is briefly described, followed by a discussion on the effect of grain properties on such quality parameters. This work also explores how drying, storage, blending, and cleaning, as some of the common post-harvest unit operations, could affect grain's end-product quality. Finally, an overview of the available techniques for grain quality monitoring is provided, followed by a discussion on existing gaps and potential solutions for quality traceability throughout the wheat supply chain.
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http://dx.doi.org/10.1111/1541-4337.13150 | DOI Listing |
Arch Razi Inst
June 2024
Department of Microbiology, Faculty of Veterinary Medicine, Urmia University, Urmia, Iran.
Mycotoxins are toxins produced by various types of fungi, including , which can produce different types of mycotoxins, such as Deoxynivalenol (DON), Zearalenone, T-2 toxin, and Fumonisins (FUM). Mycotoxins have the potential to reduce the quality of crops and pose health risks to both humans and animals. This can result in reduced animal production and substantial economic consequences on a global scale.
View Article and Find Full Text PDFBiosens Bioelectron
December 2024
College of Food Science and Engineering, Collaborative Innovation Center for Modern Grain Circulation and Safety, Key Laboratory of Grains and Oils Quality Control and Processing, Nanjing University of Finance and Economics, Nanjing, Jiangsu, 210023, PR China. Electronic address:
An innovative integrated three-dimensional (3D) bioprinted gastric microtissue electrochemical biosensor was developed in this study for the detection of allergen ovalbumin (OVA). In this system, OVA triggers the release of histamine from gastric microtissue, which then undergoes a redox reaction on the electrode surface, leading to an increase in the peak current. Gelatin methacrylate hydrogel serves as a scaffold for the 3D culture of RBL-2H3 and PC-12 cells for partially restoring allergic reactions in the human body in vitro.
View Article and Find Full Text PDFHeliyon
December 2024
Soil Science Division, Bangaldesh Wheat and Maize Research Institute, Nashipur, Dinajpur, 5200, Bangladesh.
Heat shock, a transient exposure to high temperatures, is a substantial hazard to rice ( L.) production and sustainability. The objective of this review paper is to summarize the impact of heat shock on rice and explore approaches to mitigate its adverse effects to achieve sustainable production.
View Article and Find Full Text PDFACS Appl Electron Mater
December 2024
Institute of Semiconductor and Solid State Physics, Johannes Kepler University Linz, Altenberger Straße 69, 4040, Linz, Austria.
Germanium (Ge), the next-in-line group-IV material, bears great potential to add functionality and performance to next-generation nanoelectronics and solid-state quantum transport based on silicon (Si) technology. Here, we investigate the direct epitaxial growth of two-dimensional high-quality crystalline Ge layers on Si deposited at ultralow growth temperatures ( = 100-350 °C) and pristine growth pressures (≲10 mbar). First, we show that a decreasing does not degrade the crystal quality of homoepitaxial Ge/Ge(001) by comparing the point defect density using positron annihilation lifetime spectroscopy.
View Article and Find Full Text PDFSpectrochim Acta A Mol Biomol Spectrosc
December 2024
College of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, China; School of Automation, Northwestern Polytechnical University, Xi'an, China. Electronic address:
Wheat flour quality, determined by factors such as protein and moisture content, is crucial in food production. Traditional methods for analyzing these parameters, though precise, are time-consuming and impractical for large-scale operations. This study presents a lightweight convolutional neural network designed for real-time wheat flour quality monitoring using near-infrared spectroscopy.
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