10 results about "Daily intake" patented technology

The application relates to the technical field of sialic acid application, in particular to application of sialic acid in promoting iron absorption of iron supplement agents. It is found for the first time that sialic acid with a daily intake of 0.8-3.5 mg / kg and ferrous iron with a daily intake of 0.2-0.5 mg / kg can promote the absorption of ferrous iron by human bodies. More specifically, the application claims an iron supplement agent containing ferrous iron drugs and sialic acid. The iron supplement agent provided by the application promotes iron supplement by compounding sialic acid and ferrous iron drugs, thereby improving the bioavailability of iron, regulating immunity, promoting intestinal health and achieving various biological activities while supplementing iron.

The invention relates to a preparation method of a low-calorie and low-carbohydrate weight-losing main food, which is characterized in that the low-calorie and low-carbohydrate weight-losing main food with the content of 200-350 kilocalories is produced by utilizing the functional effect that insoluble coarse dietary fibers can be expanded into about 7 times of volume after entering human intestinal tracts and absorbing water; enteral emptying is prolonged, so that hunger sensation can be reduced, and happiness of the human body is increased. Food with low calorie and extremely low carbohydrate content is produced and processed by using a method for removing components except insoluble coarse dietary fibers by using a biological function containing cellulase and a compound enzyme of the cellulase and the like; the invention relates to a preparation method of dietary fiber food such as soybean dreg powder, wheat bran powder and the like, wherein the intake of the soybean dreg powder is reduced by 500-1000 kilocalories per day on the basis of target energy.

The invention discloses a construction method of a mouse model for simulating human non-obesity NAFLD under a common diet condition, which comprises the following steps of: performing intravenous injection of adeno-associated virus shIDO2-AAV8 on the tail of a mouse to silence IDO2 gene expression in the liver in a targeted manner, and simultaneously giving common diet; the adeno-associated virus shIDO2-AAV8 is obtained by taking AAV8 as a carrier and inserting an IDO2-shRNA (short hairpin Ribonucleic Acid) sequence for recombination. The mouse model for simulating the human non-obesity NAFLD can be constructed by injecting the adeno-associated virus shIDO2-AAV8 through the caudal vein and combining with common diet, and compared with a traditional diet induction method and a composite induction method, the diet condition is consistent with daily intake of human, and the mouse model is more in line with the pathologic reality of human; and the morbidity environment and physical state of the human non-obesity NAFLD are restored to a greater extent, so that the model has higher clinical reference value.

An inflammation index estimation system (1A) has: a food intake amount calculation unit (11) that calculates a daily intake amount for each of a plurality of foods and menus on the basis of intake frequencies for the foods and menus entered into a food intake frequency questionnaire (2); a nutrient intake amount calculation unit (12) that references food / nutrient conversion data (21) that indicates the amounts of a plurality of nutrients in the foods and menus per unit amount and calculates a daily intake amount for each of the nutrients on the basis of the daily intake amount for each of the foods and menus calculated by the food intake amount calculation unit (11); and an inflammation index calculation unit (13) that, on the basis of nutrient index data (23) and the daily intake amount for each of the nutrients calculated by the nutrient intake amount calculation unit (12), calculates the sum of inflammation indexes calculated in accordance with the intake amount for each of the nutrients as an inflammation index for a daily diet.

The invention provides a pregnant and lying-in woman health dynamic monitoring system and method based on big data, and relates to the technical field of data processing, and the method comprises the steps: inputting the physiological data of a pregnant and lying-in woman, the doctor's advice information and the current pregnancy period into a health planning model, and obtaining standard energy consumption and standard nutrition parameters; obtaining current-day exercise data and current-day diet data of the pregnant and lying-in woman; on the basis of the current-day exercise data, the physiological data and the current pregnancy period, the current-day energy consumption of the pregnant and lying-in woman is determined; inputting the daily diet data and the standard nutrition types into a nutrition analysis model to obtain daily intake parameters corresponding to each standard nutrition type; comparing the energy consumption of the day with standard energy consumption to obtain an exercise monitoring result of the pregnant and lying-in woman; and comparing the daily intake parameter corresponding to each standard nutrition type with the standard intake parameter corresponding to each standard nutrition type to obtain a nutrition monitoring result of the pregnant and lying-in woman. The accuracy of the health assessment result of the pregnant and lying-in woman can be improved.

The object of the present invention is to provide a composition that exhibits an effect of increasing or inhibiting the decrease in muscle mass. [Solution] The present inventors have conducted extensive research to solve the above problems and have found that by designing the daily intake of corosolic acid to be 0.2 to 20 mg / day, an excellent effect of increasing or suppressing the decrease in muscle mass can be obtained, thus completing the present invention.

The application provides a dietary management method and system based on inflammatory dietary assessment and anti-inflammatory dietary plan pushing, which comprises the following steps: step 1, obtaining the intake amount of food of a surveyee each time; step 2, combining food categories and intake frequency, calculating the average daily intake amount of various foods of the surveyee; step 3, based on the dietary intake data of the surveyee, adopting principal component analysis for statistical analysis, obtaining a personalized food combination which can best represent the favorite of the surveyee; step 4, according to the full literature retrieval result, creating an inflammation score CDII of Chinese food, which is used to measure the dietary inflammation degree of Chinese people; and step 5, combining the inflammation effect score in the CDII and the personalized food combination, providing food replacement suggestions which can meet the dietary favorite of the surveyee and reduce dietary inflammation to the surveyee. The application can more easily reduce the chronic inflammation of the body on the basis of not changing the dietary habits, and from the inflammatory mechanism, the most fundamental and effective result of reducing the risk of chronic diseases is achieved.

The application discloses a kind of personalized meal energy optimization matching method and system, it is related to personalized meal matching field, comprising: obtaining the multidimensional feature data of user, at least including the physiological parameter of user, health goal, daily intake nutrition data and historical dietary behavior data;According to physiological parameter and health goal, the energy requirement target of user all day and the energy supply ratio interval of each nutrient are calculated, and the dynamic nutrition gap vector of meal time to be planned is generated in combination with daily intake nutrition data;According to historical dietary behavior, the preference weight of user to food is constructed;With nutrition gap vector as constraint, with minimizing energy deviation and maximizing user preference as optimization target, multi-objective optimization model is constructed, and multiple candidate meal plans are generated by solving;Output scheme is selected by user, and historical dietary behavior is updated according to selected scheme, for subsequent preference weight iterative optimization.The application solves the technical problem that existing technology cannot realize personalized dynamic accurate meal serving.

The invention provides a functional fortified nutritional supplement composition for pets, a pet food and application of the pet food, and relates to the technical field of pet foods. The functional fortification nutritional supplement composition for the pets is composed of krill oil and krill meal, and the composition provides eicosapentaenoic acid and docosahexaenoic acid with the daily intake of 130-400 mg for the pets. Through the specific combination of the krill oil and the krill meal, 130-400 mg of EPA and DHA can be provided for pets every day. Experiments prove that under the condition of the efficacy threshold value, the health condition of pets can be effectively improved, especially on the basis of maintaining normal physiological indexes, the fur quality can be remarkably improved, the anti-oxidation and immunocompetence of organisms can be enhanced, the inflammatory response can be effectively adjusted, and the heart health risk index can be reduced; the intestinal barrier function and the flora steady state are improved, and the multi-dimensional and synergistic health strengthening effect is achieved.

The application discloses a food sampling optimization method and system for antibiotic residue traceability, wherein the method collects food sampling, food consumption and antibiotic related data, estimates the pollution probability and pollution concentration of antibiotics in food, simultaneously applies a Bayesian network model to predict the flow direction and probability of antibiotics in a 'production end-consumer end' supply chain, then calculates the pollution quantity caused by antibiotics and the average daily intake of people in different regions, finally constructs a target function and constraint condition, and solves the optimization problem by using a mixed integer programming method to determine the optimal sampling scheme under different resource allocation situations. The application aims to realize accurate evaluation of antibiotic residue risk and efficient allocation of resources.