Despite significant advances in pathogen survival and food cleaning measures, foodborne diseases continue to be the main reason for hospitalization or other fatality globally. Conventional antibacterial techniques including pasteurization, pressurized preparation, radioactivity, as well as synthetic antiseptics could indeed decrease bacterial activity in nutrition to variable levels, despite their serious downsides like an elevated upfront outlay, the possibility of accessing malfunctions due to one corrosiveness, as well as an adverse effect upon those the foodstuffs' organoleptic properties and maybe their nutritional significance. Greatest significantly, these cleansing methods eliminate all contaminants, including numerous (often beneficial) bacteria found naturally in food. A huge amount of scientific publication that discussed the application of virus bioremediation to treat a multitude of pathogenic bacteria in meals spanning between prepared raw food to fresh fruit and vegetables although since initial idea through using retroviruses on meals. Furthermore, the quantity of widely viable bacteriophage‐containing medicines licensed for use in health and safety purposes has continuously expanded. Bacteriophage bio‐control, a leafy and ordinary technique that employs lytic bacteriophages extracted from the atmosphere to selectively target pathogenic bacteria and remove meaningfully decrease their stages meals, is one potential remedy that solves some of these difficulties. It has been suggested that applying bacteriophages to food is a unique method for avoiding bacterial development in vegetables. Because of their selectivity, security, stability, and use, bacteriophages are desirable. Phages have been utilized in post‐harvest activities, either alone or in combination with antimicrobial drugs, since they are effective, strain‐specific, informal to split and manipulate. In this review to ensure food safety, it may be viable to use retroviruses as a spontaneous treatment in the thread pollution of fresh picked fruits and vegetables, dairy, and convenience foods.

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The apricot kernel oil press cake (AKOPC) is a high protein natural by‐product of oil mechanical expression with potential uses in cosmetics, medicines, and food. The purpose of this research was to improve the protein extraction process from apricot kernel oil press cake by using enzymatic extraction (EEP), aqueous extraction (AEP), and ultrasound extraction (UEP) process. Protein extraction by AEP was facilitated by a low solid–liquid ratio (SLR) (1:15.97) and prolonged reaction durations (3.30 h), resulting in extraction yields of 68%. When compared to the AEP by similar reaction time, increased enzyme utilization (0.90%) in the EEP resulted in greater protein extraction yields (70%) in a shorter reaction time. In addition to AEP and EEP, ultrasound extraction was also used to improve protein extractability. Temperature (50°C), power density (225 W/L), and extraction duration (20 min) were shown to be the best extraction points. Protein yield was found to be 56.47% at ideal UEP conditions. The experimental values for these reactions were found to be equivalent to the predicted values formed by the mathematical models. When supplementary skimmed milk powder (SMP) was substituted with apricot kernel protein (AKP) in the yogurt manufacturing process, the total solids, average titratable acidity, total protein, and fat contents of the yogurt were increased. In contrast, pH and syneresis values decreased as AKP increased in the resulting yogurt, whether fresh or after 7 days of cold storage. Substitution of additional SMP with AKP in yogurt production might be recommended up to 35%.

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Measurement of e-commerce usability based on static quantities variable is state-of-theart because of the adoption of sequential tracing of the next phase in the categorical data. The global COVID-19 outbreak has completely disrupted society and drastically altered daily life. The concept refers to an electronic commerce network that appears with thorough, understandable conviction, demand, and rapid confirmation as a replacement for the economical market's ''brick-and-mortar'' model, which replaces how we do everything, including business strategy, and provides a better understanding with the interpretation of e-commerce features. This study was supervised to analyze usability assessments using statistical methods and security assessments using online e-commerce security scanner tools to investigate e-business standards that consider the caliber of e-services in e-commerce websites across Asian nations. The method was developed to optimize complex systems based on multiple criteria. The initial (supplied) weights are used to determine the compromise ranking list and compromise solution. This paper examines the usability of e-commerce in rural areas using a new data set from the Jharkhand region. On the e-commerce websites of Jharkhand, India, usability is commonly considered in conjunction with learnability, memorability, effectiveness, engagement, efficiency, and completeness. Using a user-oriented questionnaire testing method, this survey attempts to close the gaps mentioned above. Then, across each column, divide each value by the column-wise sum that is created using their corresponding value, whichever produces a new matrix B. Finally, determine the row-wise sum of matrix B representing the (3 × 1) matrix. Using model trees and bagging, this study addresses classification-related issues. This regression technique is useful for problems involving classification. The model is trained using secondary data from the MBTI 16 personality factors affecting personality category.