Food nutrition ingredient quantifying and tracing method and device

Abstract

The embodiment of the invention provides a food nutrition ingredient quantifying and tracing method and device and belongs to the technical fields of precision nutriology and health management. The method comprises the steps that food information sent by a user terminal is received; quantitative analysis is conducted on the received food information to obtain nutrition ingredient quantifying information corresponding to the food information; disease information and gene information associated with nutrition ingredients are extracted; personal data information and a dietary nutrition ingredient demand guide are invoked, and the dietary nutrition ingredient demand guide and the personal data information are compared and analyzed to obtain conventional nutritional dietary recommendation information. When the personal data information further includes the personal gene information corresponding to the user terminal, the food information and the personal data information are compared and analyzed to obtain personalized nutritional dietary recommendation information based on the personal data information. The food nutrition ingredient quantifying and tracing method can meet the personalized nutritional demands of people in the era of 'precision medical treatment'.

Description

technical field [0001] The invention relates to the technical field of precise nutrition and health management, in particular, to a method and device for quantifying and tracking food nutritional components. Background technique [0002] With the improvement of people's living standards, dietary problems have become more and more prominent, and people have higher requirements for nutritional control of diets. The current popular method is: cut and weigh the food to be analyzed to obtain the weight data of each food in the analysis sample, and then obtain the nutritional information of each food in the analysis sample through the food nutrition detection equipment. The nutritional composition information is compared and analyzed with the personal diet planning data synchronized in real time from the cloud health data center, and the nutritional diet suggestion information is obtained. [0003] The existing technology involves food pulverizers and food nutrient testing equipm...

AI Technical Summary

Problems solved by technology

[0003] The existing technology involves food grinders and food nutrient testing equipment, which need to be carried out in professional laboratories, which is difficult for end users and ordinary consumers, let alone convenient and easy to use

In addition, the food and nutritional components that can be analyzed by existing technology are extremely limited, providing only a few types of sugar, fat, protein content, fiber, carbohydrates, cholesterol, unsaturated fatty acids and vitamin content

This information is only compared and analyzed with the "one size fits all" diet planning data, and cannot be combined with the user's unique gene / genetic information. In the era of "precision medicine", it can no longer meet the personalized nutritional needs.

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