Elephant foot yam (EFY) includes a high degree of nutritious fiber, carbohydrates, glucose, protein, and sugars. It also has plenty of calcium, sodium, potassium, and vitamin C, and is a promising source of starch. Due to the presence of oxalate and acridity, EFY has been extensively underused. Researchers have employed a variety of ways to decrease calcium oxalate, including boiling and NaCl treatment. A novel technique like ultrasound is a promising technique for the reduction of antinutritional factors effectively by keeping the natural phytoconstituents in it. The reduction of antinutritional factors by ultrasonication resulted from the high temperatures and pressures generated amid the collapse phase of cavitation bubbles. Microwave heating depends on the dielectric properties of the food. The dielectric constant is the ability to absorb the energy, and dielectric loss is the ability to reflect where it is dissipated as heat. Because of its heat‐labile nature and the formation of insoluble complexes, microwave treatment reduces the antinutrient component. This review focused on several studies on yam oxalate concentrations that were conducted using various treatments. This would help researchers and the food industry find more effective strategies to reduce the antinutritional factor using frequency‐controlled power ultrasound.
The food industry has inappropriate techniques for process and quality control and requires techniques that can provide information on the physical and chemical properties of food quickly and affordably. Food applications mostly focus on the identification of contaminants, with a few significant analytes, such as sugars, alcohols, amino acids, flavors, and sweeteners, as exceptions. Biosensors can bring about an analytical revolution to address the problems facing the food and agriculture industries. Potential applications for biosensors include contaminant detection, product freshness monitoring, content verification, and raw material conversion monitoring. These studies are costly and time‐consuming due to the extraction or pre‐treatment of samples. This review gives an overview of biosensors with their classification and application in different food industries such as the fruits and vegetable industry, dairy, and meat industries. The application of biosensors in detection, quality assurance, and food safety is discussed in detail with their potential application.
The walnut green hull is an agro-waste, a source of natural dye and volatile compounds with various biological activities, but the main challenge with the conventional extraction method is the quality and quantity of the volatile compound (dye) extraction from walnut hull waste. The objective of this research work is to use microwave-assisted extraction (MAE) as an emerging technology. Further, the MAE process was optimized using a Box–Behnken Design (BBD) of response surface methodology (RSM). The variables in MAE process optimization were microwave power, microwave time, solvent volume, and raw material particle size. The result indicated that MAE produces a higher extraction yield compared to the conventional method. The RSM analyses showed an increase in extract yield, total phenolic content, and total flavonoid content, along with antioxidant activity. The optimized condition parameters of MAE were reported to be 363.64-watt microwave power, 3.133 min, 39.999 mL/g solvent volume, and 150 µm particle size, the extract yield was 39.65%, followed by total phenol content of 83.535 mgGAE/g, and total flavonoid content was 18.98 mgQAE/g, while antioxidant activity was 76.298%. Additionally, the optimized sample was characterized using SEM and GC-MS.
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