The current development of industrial hemp “Cannabis Sativa L.” fibers for technical textiles and industrial applications requires high-quality
A.J.Borderías, ...I.Sánchez-Alonso, inFibre-Rich and Wholegrain Foods, 2013 17.3.5Others Non-digestible oligosaccharides are potentially prebiotic soluble DF products. Protein cryoprotectants (such as trehalose, sorbitol and maltodextrin) are commonly used at concentrations of 4–8% in fish musc...
Gluten-free diet survey: are Americans with coeliac disease consuming recommended amounts of fibre, iron, calcium and grain foods? J Hum Nutr Diet. 2005 Jun ;18(3):163-9. Cheryl Harris, MPH, RD www.harriswholehealth.com 4/3/2011 B vitamins Calcium Fiber Grains Iron Most breads, pastas...
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Foods rich in dietary fiber have been shown to modulate postprandial lipemia [7] and aid in glycemic control [8]. Antioxidant-rich foods have been shown to attenuate postprandial oxidative status markers [9] and increase plasma antioxidant capacity [7]. Beans are a food that provide both ...
Mediterranean diet (a dietary pattern rich in fiber) or fiber consumption. The clinical trial by Gholizadeh Shamasbi [51] also reported an improvement in hyperandrogenism and hirsutism as well as menstrual cycle irregularity in PCOS following dietary fiber intervention. Similar results were also ...
The prevalence of allergic diseases has increased over the last decades, especially in developed countries. Thus, it is suggested that the shift to western dietary habits with an increased consumption of fat-rich food and a decreased consumption of fruits and vegetables could affect allergic immune ...
The findings of this analysis are visually represented in Figure 16, wherein the bar chart depicts the compressive strength values at the 28-day mark, while the CO2 intensity is graphically displayed as a line on the secondary axis. CO2 intensity serves as a reliable indicator for evaluating ...
Despite the importance of fiber, the labeling of fiber content on packaged foods and beverages is voluntary in most countries, making it challenging for consumers and policy makers to monitor fiber consumption. Here, we developed a machine learning approach for automated and systematic prediction of ...