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Method for analyzing dietary structure based on intestinal flora

A technology of intestinal flora and diet, applied in the field of nutrition, can solve the problems of cumbersome investigation and analysis methods, strong subjectivity and no objective standards, etc., and achieve an objective and accurate effect of dietary structure

Pending Publication Date: 2021-04-27
北京群峰纳源健康科技有限公司 +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to solve the problem that the current investigation and analysis methods of individual dietary structure are relatively cumbersome and highly subjective without objective standards, the present invention provides a dietary prediction system based on intestinal flora analysis of dietary structure and a method for analyzing dietary structure using this system

Method used

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  • Method for analyzing dietary structure based on intestinal flora
  • Method for analyzing dietary structure based on intestinal flora
  • Method for analyzing dietary structure based on intestinal flora

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0056] Such as figure 1 As shown, a method for analyzing dietary structure based on intestinal flora, including the following steps:

[0057] S1: The manager logs into the meal prediction system and fills in the subject's personal information in the personal information management module, and the personal information management module stores the data including the subject's anthropometric values ​​into the database;

[0058] S2: Collect fresh stool samples from the subject, including the following steps:

[0059] S21: Preparation: Fill the ice bag with water in advance, put it in the freezer of the refrigerator, and store it for 15 hours;

[0060] S22: Sampling preparation: tear off the sticker on the back of the "toilet adherent", stick it on both sides of the toilet seat respectively, and press lightly to make it stick firmly;

[0061] S23: Sample preparation: discharge feces in the center of the unfolded "toilet adherer";

[0062] S24: Sample digging: stand the sampling ...

Embodiment 2

[0076]The difference between this embodiment and Embodiment 1 is that the meal prediction system also includes: a system for comparing the accuracy of the meal pattern prediction module and recording the diet photos and diet content of the subjects for several consecutive days before the feces detection The diet record module is used to evaluate the dietary intake of the subjects through the dietary conditions of the subjects in the dietary record module. The database also includes: subjects used to store the subjects' dietary content and energy intake Diet record sheet. The data stored in the subject diet record table includes: record item ID, subject ID, diet picture, diet content, record date, energy intake, subject diet record table through the field subject ID and subject information table join.

[0077] Such as Figure 9 As shown, the method for predicting dietary structure in this embodiment includes the following steps:

[0078] S1: The manager logs into the dietary...

Embodiment 3

[0092] The difference between this example and Example 2 is that in step S2, the subject took photos and recorded food pictures for three consecutive days, such as Figure 7 shown; in step S2, the dietitian evaluated the dietary intake, and the intake is shown in Table 3; in step S3, the data of the intestinal microecology of the subject, intestinal metabolites and anthropometric values ​​of the subject are shown in the table 4; the conclusion in step S4 is: in this subject, based on the abnormal fecal bile acid in the metabolites, the abnormal content of the characteristic bacteria Enterobacter, and the high BMI, the dietary structure of the subject is evaluated as a high-fat diet.

[0093] Table 3 The subject's diet and intake details in this embodiment

[0094]

[0095] Table 4 Detailed table of intestinal microecological data of subjects in this example

[0096]

[0097]

[0098] In the S5 step, the nutritionist analyzes the subject's 3-day diet photo record ( ...

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Abstract

The invention provides a method for analyzing a dietary structure based on intestinal flora. The method comprises the following steps that: S1, a manager logs in a dietary prediction system and inputs personal information of a subject; S2, an analyst detects the fresh excrement sample of the subject to obtain intestinal tract micro-ecological data, and fills the intestinal tract micro-ecological data into a diet prediction system; and S3, a dietary pattern prediction module reads intestinal tract micro-ecological data and human body measurement values of the subjects recorded in the system and compares the intestinal tract micro-ecological data and the human body measurement values with corresponding reference ranges in a database to determine a final dietary pattern. According to the method, the problem that an existing individual dietary structure investigation method is tedious and subjective is solved, the predicted dietary structure is objective and accurate, and the method is suitable for investigation and application of all individual dietary structures.

Description

technical field [0001] The invention relates to the technical field of nutrition, in particular to a method for analyzing dietary structure based on intestinal flora. Background technique [0002] Diet structure refers to the quantity of various nutrients in the diet and their proportions in the diet. Nutrients in human diet mainly include seven categories: protein, fat, carbohydrate, vitamin, mineral, water and cellulose. Fat, carbohydrates and protein in the seven major nutrients are called the three major energy-producing nutrients, that is, these three nutrients provide energy for the human body. A balanced diet means that the nutrients contained in the diet are complete in variety, sufficient in quantity, and in an appropriate proportion. Only a balanced diet can facilitate the absorption and utilization of nutrients and maintain human health. An unbalanced diet will cause various metabolic diseases, such as obesity, diabetes, hyperlipidemia, polycystic ovary syndrome...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16B50/00G16H20/60
CPCG16H20/60G16B50/00
Inventor 邵秀娟杨凯刘小军冯梓睿冯自军
Owner 北京群峰纳源健康科技有限公司
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