Abstract The issue of preserving fresh food during the transportation is one of the long-standing issues for food distributors. On the other hand, the issue of vehicle routing is one of the most important issues in distribution management. Affecting the quality of food is the distribution process, which reduces the distribution time through vehicle routing plays an important role in reducing food spoilage. Therefore, in this study, the problem of vehicle routing in the distribution of perishable food materials is investigated. The time is different so that the distance is minimized and the capacities and time windows are not violated. This research aims to find facilities, identify the size of each cargo, and establish the most efficient vehicle routes to reduce overall costs at three levels in the event of a system failure. Undoubtedly, the traveling salesman issue is one of the most famous issues in the field of artificial intelligence.

Abstract Aiming at the problem that it is difficult to achieve rapid and accurate detection of pesticide residues, the artificial neural network method is used to separate the mixed fluorescence spectra in the measurement of acetamiprid pesticide residues, and a fluorescence spectrum that can quickly detect the pesticide residues of acetamiprid on solid surfaces is designed. According to the back-propagation algorithm, the three-layer artificial neural network principle is used to detect the acetamiprid residue in the mixed system of acetamiprid and filter paper with severely overlapping fluorescence spectra. In the range of 340nm~400nm, using the fluorescence intensity values at 20 characteristic wavelengths as the characteristic network parameters, after network training and testing, the recovery rates of acetamiprid concentrations of 40mg/kg and 90mg/kg are 102% and 97%, respectively. The relative standard deviations of the determination results were 1.4% and 1.9%, respectively. The experimental results show that the BP neural network-assisted fluorescence spectroscopy method for the determination of acetamiprid pesticide residues on filter paper has the characteristics of fast network training, short detection period, and high measurement accuracy.

Abstract Food safety means that food is non-toxic, non-hazardous, meets the nutritional requirements and does not pose any acute, subacute or chronic risks to human health. Food safety and hygiene management measures adopted by the competent authorities should be based on risk assessment. The fast proliferation of text-messaging-based mobile health (mHealth) initiatives offers a chance to enhance food quality awareness and dietary habits, especially among difficult groups. Text messaging may be used to successfully prevent or cure health problems in people and encourage good health through the use of high-quality meals. In both industrialized and developing nations, dietary practices such as frequent eating of nutrient-poor products (as unhealthy snacking) and unwillingness to consume green leafy fruit and vegetables limit micronutrient intake. In this study, we comprehensively reviewed the scientific literature on the impact of mobile health on sickness prevention control and promotion. This study focuses on the deployment of mobile health in communicable disease preventive measures, chronic illness management, and maternal healthcare to give a benchmark for mobile health intervention research in China, based on the features of existing literature.

Abstract Due to its environmental efficacy and economic effectiveness, a unique approach for extracting functional thermally sensitive bioactive components from food was recently developed. Cloud point extraction is one of the most effective alternative methods for extracting a wide range of organic and inorganic components from green surfactants. The extraction method is cloud point extraction by phase separation, which is a quick and easy approach that requires very little solvent and just a small amount of very non-flammable and non-volatile surfactant that is environmentally benign. The theoretical results of cloud point extraction's application in the food industry are summarized in this article. While presenting a series of introductions on how to extract cloud points, the benefits and applications of cloud points have been studied. The method of using cloud point extraction in food samples has been explained in this article. This method is simple, safe, cost-effective, and widely used to measure a variety of tissue samples, and it can detect analytes down to nanograms per millimeter. Spectrophotometric measurement of low levels of cadmium in some vegetables was also developed in the current study as one of the most important applications of the cloud point extraction method in the food industry.

Abstract Due to the high capacity of food factories, a lot of waste is generated. Due to the presence of nutrients in them can increase pollution in the sewerage network and cause environmental problems. To animal feed, grain waste can be used to produce fertilizer, compost, fuel, soil cover, etc. The natural pigment lycopene, thickeners, proteins, etc., can be produced from the seeds and skin of the tomato paste factory waste. In the present paper, soybean oil residue was used to remove cadmium, zinc, and lead ions from aqueous solutions. Discontinuous experiments to investigate the effect of initial concentration (100-300 ppm), solution pH (1-5), contact time (1-60 min), adsorbent amount (0.02-2 g) on the uptake of cadmium, zinc, and lead ions by soybean oil residues. The results showed that with increasing the pH, the value of the contact time, the amount of adsorbent, and the adsorption rate increases with increasing the initial concentration of metal ions, the adsorption rate decreases. According to the results, the best pH for adsorption of metal ions is about 3-5, and the equilibrium time for cadmium ions is 40 minutes, for zinc ions is 20 minutes, and for lead, the ion is 10 minutes.

Abstract Yeasts are widely used as cellular factors in the production of bread and, more recently, various metabolic products such as vitamins, ethanol, citric acid, and lipids. Lipids synthesized by microorganisms are used in the pharmaceutical industry for technical purposes or as feed. The ability of the superior microorganism to grow on the xylose and the amount of fat production in this area were measured under optimal conditions. Xylose is one of the most abundant 5-carbon sugars in nature, and microorganisms that can grow on it are important. In this paper, the effect of different values of ammonium sulfate concentration, glucose concentration, temperature, aeration, incubation time, and pH are investigated. The results showed that with increasing ammonium sulfate concentration, glucose concentration, Incubation time, and pH, values of production of lipids, dry biomass, and percentage of lipid production by dry weight increased. Also, increasing the values of temperature and aeration has reduced the mentioned values. Finally, it can be said that the values for the studied parameters are: Concentration 1 g/L for ammonium sulfate, concentration 100 g/L for glucose, temperature 2 °C, aeration 150 rpm, incubation time 72 h, and pH equal to 6.5.