A method for detecting and interpreting malondialdehyde in a urine sample

Abstract

The present application relates to non-invasive physiological indicator detection and health risk assessment technical field, disclose a kind of based on malondialdehyde grading detection and interpretation method of urine sample.The method comprises: obtaining urine sample, make it and the preset malondialdehyde color reaction system occur color reaction, form color result in preset reaction time;After color reaction is stable, the color information of the color result is collected, and the corresponding color feature parameter is extracted;Based on the color feature parameter, call grading interpretation model to determine the level of malondialdehyde in urine, output corresponding grading detection result.The grading result is presented in the form of intervalization grade, for reflecting the physiological environment state related to oxidative stress.

Description

Technical Field

[0001] This invention relates to the field of non-invasive physiological indicator detection and health risk assessment technology, specifically to a method for graded detection and interpretation of malondialdehyde based on urine samples. This method is suitable for stratified identification and trend assessment of human oxidative stress-related physiological environmental states and belongs to the field of non-invasive physiological state monitoring and auxiliary analysis technology. Background Technology

[0002] Malondialdehyde (MDA), as one of the important end products formed during lipid peroxidation, is a commonly used physiological indicator reflecting the body's oxidative stress level and lipid peroxidation status. Changes in its level in urine can, to some extent, reflect the body's long-term oxidative stress load and related metabolic state. Urine samples, as a type of body fluid that is non-invasive, easy to collect, and suitable for repeated testing, have high application value in long-term health monitoring and status assessment.

[0003] Existing malondialdehyde (MDA) detection methods are mostly quantitative, typically relying on laboratory testing equipment or complex chemical analysis procedures. These methods are costly, require strict operating conditions, and are difficult to implement for high-frequency, long-term monitoring in non-laboratory settings such as homes or communities. Furthermore, some detection methods are highly sensitive to sample processing and reaction conditions, limiting their repeatability and stability in practical applications.

[0004] With the development of non-invasive testing and dry chemical detection technologies, colorimetric reaction detection methods based on urine samples have gradually gained attention. These methods offer advantages such as ease of operation, low cost, and suitability for multiple tests. However, existing schemes often focus on single-value determination or simple colorimetric interpretation, lacking stable and repeatable grading methods for colorimetric results. They are easily affected by individual differences in urine baseline, sampling time, and colorimetric fluctuations, leading to insufficient comparability of test results across multiple tests or between different individuals.

[0005] Furthermore, existing malondialdehyde (MDA) detection methods based on urine colorimetric reactions typically do not adequately consider the trend identification needs in long-term monitoring scenarios, making it difficult to use the detection results for reliable state stratification and trend assessment. Therefore, it is necessary to provide a method that can classify and interpret MDA levels based on urine sample colorimetric results, thereby improving the practicality and stability of non-invasive detection in health risk assessment and physiological state monitoring. Summary of the Invention

[0006] (a) Technical problems to be solved This invention aims to solve the problems of existing urine malondialdehyde (MDA) detection methods, such as easy interference with detection results, insufficient interpretation stability, difficulty in grading, and unsuitability for long-term monitoring, and provides a graded detection and interpretation method for MDA based on urine samples.

[0007] To achieve the above objectives, the present invention provides the following technical solution: This invention provides a method for graded detection and interpretation of malondialdehyde (MDA) based on urine samples, comprising the following steps: S1: Obtain a urine sample from the subject and preprocess the urine sample to obtain the sample to be tested; S2: The sample to be tested reacts with a pre-set malondialdehyde colorimetric reaction system to form a colorimetric result within a preset reaction time; S3: Collect color information corresponding to the color development result within the preset reaction time, and convert the color information into at least one color feature parameter; S4: Input the color feature parameters into the malondialdehyde grading and interpretation model to obtain the grade determination result of malondialdehyde in the urine sample; S5: Based on the grade determination result, output the corresponding malondialdehyde (MDA) grading detection and interpretation information.

[0008] Compared with the prior art, the present invention has the following beneficial effects: 1. By performing hierarchical interpretation based on color feature parameters of the color development results, the impact of subjective judgment and color development fluctuations on the detection results during a single detection process is reduced; 2. By adopting a graded interpretation method rather than quantitative numerical output, the impact of individual baseline differences in urine samples, changes in collection conditions, and colorimetric instability on test results is effectively reduced, improving the stability and comparability of test results in different individuals and in multiple testing processes, making it suitable for long-term monitoring and status stratification assessment; 3. Applicable to non-invasive body fluid testing such as urine samples, facilitating repeated testing in home or community settings; 4. The test results are used for the assessment of physiological and environmental states related to oxidative stress and risk stratification, which is independent of clinical diagnostic conditions and has a wide range of applications. Detailed Implementation

[0009] The present invention will be further described below with reference to embodiments. Those skilled in the art should understand that the following embodiments are only used to illustrate the technical solutions of the present invention and do not constitute a limitation on the scope of protection of the present invention.

[0010] Example 1: A method for graded detection and interpretation of malondialdehyde based on urine samples This embodiment uses urine samples as the detection object. The following implementation process uses the urine samples as the detection input to perform graded detection and interpretation of malondialdehyde.

[0011] Step S1: Sample application A urine sample is obtained from the subject and applied to the reaction area of ​​a malondialdehyde (MDA) test strip. The reaction area of ​​the test strip is pre-filled with a MDA colorimetric reaction system so that the MDA in the urine sample reacts with the colorimetric reaction system.

[0012] Step S2: Colorimetric reaction occurs The colorimetric reaction is completed within a preset reaction time, resulting in a color change related to the malondialdehyde (MDA) level in the urine. The preset reaction time is 1–10 minutes, and the colorimetric result is manifested as a change in the color intensity of the reaction area, with the degree of color change being related to the MDA content.

[0013] Step S3: Image Information Acquisition The test strip, after completing the colorimetric reaction, is inserted into the colorimetric reading device, which then acquires image information of the reaction area. The colorimetric reading device includes a light source module and an image acquisition module, used to obtain image data of the reaction area under standardized conditions.

[0014] Step S4: Image Processing and Color Feature Extraction The image information is processed to extract at least one color feature parameter. The image processing includes image white balance correction, region extraction, and color space conversion. The color feature parameter includes at least one of RGB, HSV, or CIE Lab color space parameters.

[0015] Step S5: Graded Interpretation The color feature parameters are input into the malondialdehyde (MDA) grading model for grading. The grading model is a rule-based model based on threshold interval division to obtain the corresponding MDA grading result.

[0016] In one embodiment, the grading standard includes four grade ranges, which are distinguished by three preset thresholds T1, T2, and T3: when the color feature parameter is less than T1, it is determined to be the first grade; when the color feature parameter is between T1 and T2, it is determined to be the second grade; when the color feature parameter is between T2 and T3, it is determined to be the third grade; and when the color feature parameter is greater than or equal to T3, it is determined to be the fourth grade.

[0017] Step S6: Output Results Based on the grade determination results, malondialdehyde (MDA) grading detection and interpretation information is output. The results are presented in the form of interval grades to characterize the oxidative stress-related physiological environmental state and changing trends of the tested objects.

[0018] Usage conditions description In one embodiment, the colorimetric reaction is completed within a preset time range, and color information is collected within the colorimetric stability interval to improve the consistency of the grading interpretation results. The grading test results are used for health status assessment or trend monitoring and are not used as a basis for disease diagnosis.

[0019] Summary and Explanation The above embodiments are merely illustrative examples of the present invention and are not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, or variations made by those skilled in the art to the present invention without departing from the spirit and scope of the present invention should fall within the scope of protection of the present invention.

Claims

1. A method for graded detection and interpretation of malondialdehyde based on urine samples, characterized in that, Includes the following steps: S1: Obtain a urine sample from the subject and apply the urine sample to a colorimetric reaction strip for malondialdehyde detection, and form a colorimetric result within a preset reaction time; S2: Acquire an image of the color-developing area of ​​the test strip after the color reaction has been completed, and obtain the color image of the test strip; S3: Locate the color development area in the color image of the test strip and extract the color feature parameters of the color development area; S4: Input the color feature parameters into the preset malondialdehyde grading and interpretation model, and generate the urine malondialdehyde grading and interpretation results according to the preset grading rules; S5: Output the grading results to characterize the level of oxidative stress-related physiological state information corresponding to the malondialdehyde level in the urine of the tested subject.

2. The method according to claim 1, characterized in that, The image acquisition is accomplished by a fixedly installed camera. The position, shooting distance, and shooting angle of the camera relative to the test strip slot remain consistent throughout different detection processes, and the imaging acquisition area is a light-shielding cavity structure. The body fluid detection device is only used for standardized acquisition of test strip color images during the execution of the method and does not participate in color recognition and grading calculations.

3. The method according to claim 1, characterized in that, The color development area localization includes identifying the color reaction area in the color image of the test strip and determining the effective area for color analysis based on preset area rules or image algorithms; the color feature parameters include color component parameters in at least one color space.

4. The method according to claim 1, characterized in that, The urine malondialdehyde (MDA) grading results are multi-level interval grades, used to characterize the risk level of oxidative stress-related physiological states corresponding to the MDA level in urine.

5. The method according to claim 4, characterized in that, The multi-level interval rating results include at least low level, medium level, high level and further subdivided risk levels, and correspond to preset risk level labels.

6. The method according to claim 1, characterized in that, The cloud-based analysis unit performs trend analysis on multiple urine malondialdehyde (MDA) grading results from the same test subject to generate information on the changing trend of urine MDA levels.

7. The method according to claim 6, characterized in that, The trend information is used to reflect the stability changes, increasing trends, or decreasing trends of the oxidative stress state of the tested object.