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Major types of lipids: fatty acids come under triglycerides according to this classification.
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... term "fats" is used to refer solid lipids at room temperature such as lard and butter, while "oils" are liquid lipids at room temperature such as sunflower oil, olive oil, etc. The classification of lipids is shown in Figure 1. Fatty acids appear under "triglycerides" since it is a component of this particular category of lipids. ...
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Regio- and stereoselective functionalisation reactions like C-H oxidation are of high importance for instance for the valorization of renewables like fatty acids by α-hydroxylation. Here, peroxygenases were envisioned to be...
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... Its significance extends beyond its role as a valuable source of calories and income for small-scale farmers and processors [1]. Cassava also offers solutions to the complex problems posed by climate variability, resource constraints, and diverse nutritional requirements, and also serves as a raw material across various industries [2][3][4]. ...
... Lack of data-driven design 3 This study, therefore, seeks to leverage machine learning techniques to optimize the design parameters of the grating chamber of a cassava grater system to improve cassava mash quality in accordance with ASAE standards. ...
Machine performance modeling and optimization have emerged as crucial steps for process enhancement and efficiency. This study explored machine learning to model and optimize the cassava grating chamber of cassava grater for the quality production of gari. This domain remains unexplored thus far. A total of 196 graters were studied. Key variables studied included tooth diameter (TD), tooth height (TH), inter-tooth spacing (ITS), drum speed (DS), clearance (C), and moisture content of cassava (MC). Geometric mean diameter (GMD) represented mash quality. Feature importance rankings emphasized TH (0.488784), C (0.243284), TD (0.112682), ITS (0.103547), DS (0.036261), and MC (0.015442) in determining particle size (GMD) of grated mash. Machine learning models efficiently interpreted these attributes, including gradient boost regressor, linear regression, neural network, and random forest. The gradient boost regressor was the best predictive model, achieving 95.34% accuracy, RMSE (0.3291), and MAE (0.2303). The study provides a GMD predictive equation and optimized parameters for specific gari size production, offering valuable insights for tailored machinery in the cassava grating activity.
... These products are high in energy and low in dietary fiber. Since the human gut has been adapting to the consumption of indigestible plant material for several millennia, this Fatty acids new modern diet might jeopardize our health (Waisundara, 2018). Western foods, particularly high in sugars, saturated and trans fats, together with sedentary behavior, are associated with an increase in obesity and overweight, which in turn are risk factors for the development of cardiovascular disease (CVD), hypertension, stroke, and coronary artery disease (CAD) (Chauhan, Singh, Ozimek, Singh, & Basu, 2016). ...
... Fatty acids are considered the primary components of lipids or fats (Calder, 2015). It could be said that they are the framework or skeleton of fat (Waisundara, 2018), being an essential part of more complex compounds, such as phospholipids, cholesterol esters, and triglycerides (TGs) (groups of three fatty acids) (Hashimoto, 2018). Precisely, the latter is the resulting molecule once fatty acids are absorbed by the body (Waisundara, 2018). ...
... It could be said that they are the framework or skeleton of fat (Waisundara, 2018), being an essential part of more complex compounds, such as phospholipids, cholesterol esters, and triglycerides (TGs) (groups of three fatty acids) (Hashimoto, 2018). Precisely, the latter is the resulting molecule once fatty acids are absorbed by the body (Waisundara, 2018). Fatty acids are formed by a nonpolar aliphatic chain (CH) attached to a polar head consisting of a carboxylic group (COOH) (Waisundara, 2018). ...
