A method for detecting exposure concentration of an environmental endocrine disruptor in human body

Abstract

The present application relates to the technical field of detection, in particular to a method for detecting the exposure concentration of environmental endocrine disruptors in human body, comprising obtaining sample data, calculating sample concentration verification index; generating sample concentration step state signal according to sample concentration verification index; obtaining temperature data, calculating sample temperature evaluation index; generating sample temperature state signal according to sample temperature evaluation index; obtaining sample temperature data and sample refractive index data, calculating temperature-refraction evaluation index; generating temperature-refraction correlation signal according to temperature-refraction evaluation index; calculating stirring speed adjustment value according to temperature difference degree value; the present application analyzes the refractive index of sample and the temperature in the sample concentration process, adjusts the stirring speed in the sample concentration process, reduces the influence of sample processing process on the detection result, thereby improving the accuracy of the detection result of the exposure concentration of environmental endocrine disruptors in human body.

Description

Technical Field

[0001] This invention relates to the field of detection technology, specifically to a method for detecting the exposure concentration of endocrine disruptors in the human body. Background Technology

[0002] Endocrine disrupting chemicals (EDCs) are a class of chemicals that can interfere with the normal function of the endocrine system and are widely found in environmental media (such as water, soil, and air) and everyday products. EDCs disrupt hormone synthesis, metabolism, or signaling pathways by mimicking or antagonizing endogenous hormones, causing multiple health risks. Studies have shown that EDC exposure is closely related to reproductive system abnormalities (such as decreased sperm quality and ovarian dysfunction), metabolic diseases (such as obesity and insulin resistance), neurodevelopmental disorders, immunosuppression, and hormone-dependent tumors (such as breast cancer and prostate cancer). Of particular note is that exposure to EDCs during pregnancy or childhood may lead to irreversible developmental toxicity, highlighting its public health risks.

[0003] Currently, the detection of EDC (electrode consumption) exposure concentrations in the human body mainly relies on liquid chromatography-mass spectrometry (LC-MS), which boasts high sensitivity and specificity, but still has significant limitations in practical applications. The stability of sample pretreatment stages (such as extraction, purification, and concentration) directly affects the accuracy of detection results. For example, temperature fluctuations in the sample solution during concentration can lead to uneven solute evaporation rates, thus affecting the refractive index variation; mismatched stirring speeds may cause local overheating or abnormal concentration gradients, exacerbating impurity interference. However, traditional methods lack dynamic monitoring and real-time control mechanisms for the concentration process, relying solely on fixed parameter operations, which cannot effectively cope with random interference from environmental factors, ultimately leading to deviations or insufficient repeatability of detection results.

[0004] Therefore, developing a detection method that can evaluate and optimize sample processing conditions in real time is a key requirement for improving the accuracy of EDC exposure concentration detection. Summary of the Invention

[0005] The purpose of this invention is to provide a method for detecting the exposure concentration of endocrine disruptors in the human body, in order to solve the problems mentioned above.

[0006] The objective of this invention can be achieved through the following technical solutions:

[0007] A method for detecting the concentration of endocrine disruptors in the human body, comprising:

[0008] S10: Sample collection, collecting samples from the object being tested;

[0009] S20: Sample processing, which involves appropriately processing the collected samples to improve the sensitivity and accuracy of the detection.

[0010] S30: Instrument detection, using instruments to detect the processed sample;

[0011] S40: Data processing, analyzing data based on test results, and assessing the exposure concentration of endocrine disruptors in the human body;

[0012] S20 specifically includes the following steps:

[0013] S21: Sample extraction, used to extract the target compound from the test sample;

[0014] S22: Sample purification, used to remove impurities from the extract to improve the accuracy and sensitivity of the analysis;

[0015] S23: Sample concentration, used to concentrate the purified sample to reduce the injection volume and improve detection sensitivity; a detection period is set during the sample concentration process, and the sample concentration process is adjusted in a timely manner by detecting the sample concentration process;

[0016] S23 specifically includes:

[0017] The sample data during the concentration process is obtained, and the sample concentration verification index is calculated; where the sample data refers to the sample refractive index.

[0018] Based on the sample concentration verification index, determine whether the sample concentration step is qualified and generate a sample concentration step status signal; the sample concentration step status signal includes a qualified sample concentration step signal and a failed sample concentration step signal.

[0019] Based on the failure signal of the sample concentration step, the temperature data during the sample concentration process is obtained, and the sample temperature distribution assessment value and temperature difference assessment value are calculated. Based on the sample temperature distribution assessment value and temperature difference assessment value, the sample temperature assessment index is calculated; where temperature data refers to the sample temperature value.

[0020] Based on the sample temperature assessment index, the temperature status during the sample concentration process is determined, and a sample temperature status signal is generated; the sample temperature status signal includes a normal sample temperature signal and a sample temperature abnormal signal.

[0021] Based on the abnormal sample temperature signal, sample temperature data and sample refractive index data are acquired. The preset-expected deviation value of sample refractive index during the detection period is calculated based on the sample refractive index data. Then, based on the preset-expected deviation value of sample refractive index and the temperature difference value during the detection period, the temperature-refractive index assessment index is calculated. Here, the sample temperature data refers to the temperature difference value, and the sample refractive index data refers to the sample refractive index during the detection period.

[0022] Based on the temperature-refractive index, the relationship between sample temperature and sample refractive index is determined, and a temperature-refractive correlation signal is generated; among which, the temperature-refractive correlation signal includes a large temperature-refractive correlation signal and a small temperature-refractive correlation signal;

[0023] Based on the temperature-refractive correlation signal, the stirring speed adjustment value is calculated according to the temperature difference value.

[0024] As a further aspect of the present invention: the specific method for obtaining the sample concentration verification index includes:

[0025] The preset time for sample concentration is divided into several detection periods, and the sample refractive index is obtained in each detection period.

[0026] Among them, the sample refractive index

[0027] A coordinate system is established with time as the X-axis and refractive index as the Y-axis. The refractive indices of all samples acquired during the detected time periods are substituted into the coordinate system to generate a map of sample refractive index changes.

[0028] Obtain the coordinates of each point in the sample refractive index change map, and calculate the ratio of the X-axis coordinate value to the Y-axis coordinate value of each point to obtain the coordinate point's expression value;

[0029] The variance of all coordinate point values ​​is calculated to obtain the coordinate point fluctuation value;

[0030] Obtain the sample's preset refractive index prediction deviation value, and then calculate the sample concentration verification index by weighting and summing the sample's preset refractive index prediction deviation value with the coordinate point expression fluctuation value.

[0031] As a further aspect of the present invention: the method for obtaining the preset refractive index prediction deviation value of the sample specifically includes:

[0032] The difference in refractive index of samples from adjacent detection periods is calculated to obtain the refractive index change value for the detection period.

[0033] The refractive index change values ​​of all detected time periods are averaged to obtain the predicted refractive index change value;

[0034] The number of undetected time periods is obtained, and the predicted value of refractive index change is multiplied by the number of undetected time periods to calculate the total predicted value of sample refractive index change.

[0035] The predicted sample refractive index is obtained by calculating the difference between the total predicted value of the sample refractive index change and the sample refractive index during the current detection period.

[0036] The difference between the expected sample refractive index and the preset sample refractive index is calculated to obtain the sample preset refractive index prediction deviation value.

[0037] The ratio of the predicted deviation value of the sample's preset refractive index to the sample's preset refractive index is calculated to obtain the degree of prediction deviation value of the sample's preset refractive index.

[0038] As a further aspect of the present invention, the specific method for generating the status signal of the sample concentration step includes:

[0039] Obtain the sample concentration verification index and compare the sample concentration verification index with the sample concentration verification index.

[0040] If the sample concentration verification index is less than or equal to the sample concentration verification index threshold, it means that the smaller the sample concentration verification index, the closer the sample concentration step is to the qualified standard, and a qualified signal for the sample concentration step is generated.

[0041] If the sample concentration verification index is greater than the sample concentration verification index threshold, it means that the larger the sample concentration verification index is, the more the sample concentration step deviates from the qualified standard, and a sample concentration step unqualified signal is generated.

[0042] As a further aspect of the present invention: the method for obtaining the sample temperature evaluation index includes:

[0043] The sample is divided into several sub-regions, and the temperature values ​​of the sample sub-regions during the detected period are obtained and marked as sub-region temperature values.

[0044] The temperature difference between adjacent sub-regions is calculated to obtain the sample temperature distribution difference.

[0045] The average temperature distribution difference of all samples is calculated by averaging the differences in temperature distribution of all samples.

[0046] The average difference in the average temperature distribution of samples from all tested time periods is averaged to obtain the sample temperature distribution assessment value.

[0047] The temperature difference value is obtained by calculating the ratio of the average temperature distribution difference of the sample to the preset average temperature distribution difference of the sample.

[0048] The average of the temperature difference values ​​for all detected time periods is calculated to obtain the temperature difference assessment value;

[0049] The sample temperature assessment index is calculated by weighting and summing the temperature difference assessment value and the sample temperature distribution assessment value.

[0050] As a further aspect of the present invention: the method for generating the sample temperature state signal includes:

[0051] Obtain the sample temperature assessment index and compare it with the sample temperature assessment index threshold.

[0052] If the sample temperature assessment index is less than or equal to the sample temperature assessment index threshold, it means that the smaller the sample temperature assessment index, the more normal the temperature state during the sample concentration process, and a normal sample temperature signal is generated.

[0053] If the sample temperature assessment index is greater than the sample temperature assessment index threshold, it means that the larger the sample temperature assessment index is, the more abnormal the temperature state is during the sample concentration process, and thus a sample temperature abnormality signal is generated.

[0054] As a further aspect of the present invention, the method for obtaining the temperature-refractive evaluation index specifically includes:

[0055] Obtain the preset-expected deviation value of the refractive index of the sample during the detected period. Establish a coordinate system with the temperature difference value as the X-axis and the preset-expected deviation value of the refractive index of the sample during the detected period as the Y-axis. Substitute the temperature difference value and the corresponding refractive deviation value of the sample during the detected period into the coordinate system to generate a temperature-refractive curve.

[0056] Obtain the coordinate values ​​in the temperature-refractive curve, and calculate the ratio of the X-axis coordinate value to the Y-axis coordinate value for each coordinate to obtain the temperature-refractive relationship value;

[0057] The variance of all temperature-refractive values ​​is calculated to obtain the temperature-refractive evaluation index.

[0058] As a further aspect of the present invention: the method for obtaining the preset-expected deviation value of the refractive index of the sample during the detected period is as follows:

[0059] The difference between the preset refractive index of the sample and the initial refractive index of the sample is calculated to obtain the total change in the refractive index of the sample.

[0060] The ratio of the total change in the refractive index of the sample to the total number of samples during the detection period is calculated to obtain the expected change in the refractive index of the sample during the detection period.

[0061] The difference between the expected change in refractive index of the sample during the detection period and the change in refractive index during the detected period is calculated to obtain the preset-expected deviation value of the refractive index of the sample during the detected period.

[0062] The ratio of the preset-expected deviation value of the refractive index of the sample during the tested period to the expected change value of the refractive index of the sample during the tested period is calculated to obtain the preset-expected deviation value of the refractive index of the sample during the tested period.

[0063] As a further aspect of the present invention, the method for generating the temperature-refractive correlation signal specifically includes:

[0064] Obtain the temperature-refractive index and compare it with the temperature-refractive index threshold.

[0065] If the temperature-refractive index is less than or equal to the temperature-refractive index threshold, it means that the smaller the temperature-refractive index, the greater the correlation between the sample temperature and the sample refractive index, and thus a large temperature-refractive correlation signal is generated.

[0066] If the temperature-refractive index is greater than the temperature-refractive index threshold, it means that the larger the temperature-refractive index, the smaller the correlation between the sample temperature and the sample refractive index, and thus a small temperature-refractive correlation signal is generated.

[0067] As a further aspect of the present invention: the method for obtaining the stirring speed adjustment value specifically includes:

[0068] To obtain the temperature difference value, use the formula. The stirring speed adjustment value ST is calculated; where Cw represents the temperature difference value, β represents the mean value of the temperature-refractive relationship value, and α represents the influence coefficient of stirring speed on the temperature difference value.

[0069] This invention analyzes the refractive index of the sample and the temperature during the sample concentration process to calculate the adjustment value of the stirring speed during the sample concentration process. By adjusting the stirring speed during the sample concentration process, the influence of the sample processing process on the detection results is reduced, thereby improving the accuracy of the detection results of the exposure concentration of environmental endocrine disruptors in the human body. Attached Figure Description

[0070] Figure 1 This is a flowchart of a method for detecting the exposure concentration of environmental endocrine disruptors in the human body, provided by the present invention.

[0071] Figure 2 This is a flowchart of S23 in an embodiment of the present invention. Detailed Implementation

[0072] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0073] The specific implementation of the present invention will be described in detail below with reference to specific embodiments.

[0074] Please see Figure 1 As shown, this invention provides a method for detecting the exposure concentration of endocrine disruptors in the human body, comprising the following steps:

[0075] S10: Sample collection, collecting samples from the object being tested;

[0076] S20: Sample processing, which involves appropriately processing the collected samples to improve the sensitivity and accuracy of the detection.

[0077] S30: Use instruments to test the processed samples;

[0078] S40: Data processing, analyzing data based on test results, and assessing the exposure concentration of endocrine disruptors in the human body;

[0079] S20 specifically includes the following steps:

[0080] S21: Sample extraction, used to extract the target compound from the test sample;

[0081] S22: Sample purification, used to remove impurities from the extract to improve the accuracy and sensitivity of the analysis;

[0082] S23: Sample concentration, used to concentrate the purified sample to reduce the injection volume and improve detection sensitivity; a detection period is set during the sample concentration process, and the sample concentration process is adjusted in a timely manner by detecting the sample concentration process.

[0083] like Figure 2 As shown, S23 specifically includes the following steps:

[0084] Step 1: Obtain sample data during the concentration process and calculate the sample concentration verification index;

[0085] Among them, sample data refers to the sample refractive index;

[0086] In some embodiments, the preset time for sample concentration is divided into several detection periods to obtain the sample refractive index during the detected periods.

[0087] It should be noted that during sample processing, the sample is usually dissolved in a suitable solvent, the choice of which is made by those skilled in the art based on the sample; furthermore, the detected time period refers to the detection period that has been completed during the sample concentration process.

[0088] A coordinate system is established with time as the X-axis and refractive index as the Y-axis. The refractive indices of all samples acquired during the detected time periods are substituted into the coordinate system to generate a map of sample refractive index changes.

[0089] Obtain the coordinates of each point in the sample refractive index change map, and calculate the ratio of the X-axis coordinate value to the Y-axis coordinate value of each point to obtain the coordinate point's expression value;

[0090] The variance of all coordinate point values ​​is calculated to obtain the coordinate point fluctuation value;

[0091] Furthermore, the difference in refractive index of samples from adjacent detection periods is calculated to obtain the refractive index change value for the detection period;

[0092] The refractive index change values ​​of all detected time periods are averaged to obtain the predicted refractive index change value;

[0093] The number of undetected time periods is obtained, and the predicted value of refractive index change is multiplied by the number of undetected time periods to calculate the total predicted value of sample refractive index change.

[0094] It should be noted that the undetected period refers to the detection period during the remaining time of the sample concentration process;

[0095] The predicted sample refractive index is obtained by calculating the difference between the total predicted value of the sample refractive index change and the sample refractive index during the current detection period.

[0096] The difference between the expected sample refractive index and the preset sample refractive index is calculated to obtain the sample preset refractive index prediction deviation value.

[0097] The ratio of the predicted deviation value of the sample's preset refractive index to the sample's preset refractive index is calculated to obtain the degree of prediction deviation value of the sample's preset refractive index.

[0098] It should be explained that the preset refractive index of the sample refers to the final refractive index of the sample after concentration, and its value is set by those skilled in the art based on the preset sample concentration value after concentration; in addition, the preset sample concentration value is also set by those skilled in the art based on the detection conditions of the equipment.

[0099] The sample concentration verification index is calculated by weighting and summing the sample's preset refractive index prediction deviation value with the coordinate point expression fluctuation value.

[0100] It should be explained that the sample refractive index indicates that the sample refractive index decreases as the concentration of the sample solution increases during the concentration process.

[0101] Step 2: Based on the sample concentration verification index, determine whether the sample concentration step is qualified and generate a sample concentration step status signal.

[0102] Among them, the status signal of the sample concentration step includes the sample concentration step qualified signal and the sample concentration step unqualified signal.

[0103] In some embodiments, a sample concentration verification index is obtained, and the sample concentration verification index is compared with the sample concentration verification index.

[0104] It should be noted that the method for obtaining the sample concentration verification index threshold is the same as the method for obtaining the sample concentration verification index, and will not be repeated here. The specific method can be calculated by those skilled in the art by setting the values ​​of the coordinate point expression fluctuation value and the sample preset refractive index prediction deviation value.

[0105] If the sample concentration verification index is less than or equal to the sample concentration verification index threshold, it means that the smaller the sample concentration verification index, the closer the sample concentration step is to the qualified standard, and a qualified signal for the sample concentration step is generated.

[0106] If the sample concentration verification index is greater than the sample concentration verification index threshold, it means that the larger the sample concentration verification index is, the more the sample concentration step deviates from the qualified standard, and a sample concentration step unqualified signal is generated.

[0107] Step 3: Based on the unqualified signal of the sample concentration step, obtain the temperature data during the sample concentration process and calculate the sample temperature evaluation index;

[0108] Among them, temperature data refers to the sample temperature value;

[0109] In some embodiments, the sample is divided into several sub-regions, the temperature values ​​of the sample sub-regions during the detected period are obtained, and they are marked as sub-region temperature values.

[0110] The temperature difference between adjacent sub-regions is calculated to obtain the sample temperature distribution difference.

[0111] The average temperature distribution difference of all samples is calculated by averaging the differences in temperature distribution of all samples.

[0112] The average difference in the average temperature distribution of samples from all tested time periods is averaged to obtain the sample temperature distribution assessment value.

[0113] Furthermore, the ratio of the average temperature distribution difference of the sample to the preset average temperature distribution difference of the sample is calculated to obtain the temperature difference value;

[0114] It should be explained that the preset average temperature distribution difference of the sample represents the maximum average temperature distribution difference that can be tolerated during the sample concentration process without affecting the sample concentration step. Its value is set by those skilled in the art.

[0115] The average of the temperature difference values ​​for all detected time periods is calculated to obtain the temperature difference assessment value;

[0116] The sample temperature assessment index is calculated by weighting and summing the temperature difference assessment value and the sample temperature distribution assessment value.

[0117] Step 4: Based on the sample temperature assessment index, determine the temperature status during the sample concentration process and generate a sample temperature status signal.

[0118] The sample temperature status signal includes a normal sample temperature signal and an abnormal sample temperature signal;

[0119] In some embodiments, a sample temperature assessment index is obtained, and the sample temperature assessment index is compared with a sample temperature assessment index threshold.

[0120] It should be noted that the sample temperature assessment index threshold is obtained using the same method as the sample temperature assessment index, and will not be repeated here. Its value shall be set by those skilled in the art.

[0121] If the sample temperature assessment index is less than or equal to the sample temperature assessment index threshold, it means that the smaller the sample temperature assessment index, the more normal the temperature state during the sample concentration process, and a normal sample temperature signal is generated. When a normal sample temperature signal is received, further analysis is needed to determine the cause of the sample concentration step being unqualified.

[0122] If the sample temperature assessment index is greater than the sample temperature assessment index threshold, it means that the larger the sample temperature assessment index is, the more abnormal the temperature state is during the sample concentration process, and thus a sample temperature abnormality signal is generated.

[0123] Step 5: Based on the sample temperature anomaly signal, obtain sample temperature data and sample refractive index data, and calculate the temperature-refractive evaluation index;

[0124] Among them, the sample temperature data refers to the temperature difference value, and the sample refractive index data refers to the sample refractive index during the detected period.

[0125] In some embodiments, the difference between the preset refractive index of the sample and the initial value of the sample refractive index is calculated to obtain the total value of the sample refractive index change;

[0126] The ratio of the total change in the refractive index of the sample to the total number of samples during the detection period is calculated to obtain the expected change in the refractive index of the sample during the detection period.

[0127] The difference between the expected change in refractive index of the sample during the detected period and the actual change in refractive index during the detected period is calculated to obtain the preset-expected deviation value of the refractive index of the sample during the detected period.

[0128] The ratio of the preset-expected deviation value of the refractive index of the sample during the detection period to the expected change value of the refractive index of the sample during the detection period is calculated to obtain the preset-expected deviation value of the refractive index of the sample during the detection period.

[0129] A coordinate system is established with the temperature difference value as the X-axis and the preset-expected deviation value of the refractive index of the sample in the detected period as the Y-axis. The temperature difference value and the corresponding refractive deviation value of the sample in the detected period are substituted into the coordinate system to generate a temperature-refractive curve.

[0130] Obtain the coordinate values ​​in the temperature-refractive curve, and calculate the ratio of the X-axis coordinate value to the Y-axis coordinate value for each coordinate to obtain the temperature-refractive relationship value;

[0131] The variance of all temperature-refractive values ​​is calculated to obtain the temperature-refractive evaluation index.

[0132] Step 6: Based on the temperature-refractive index, determine the relationship between sample temperature and sample refractive index, and generate a temperature-refractive correlation signal;

[0133] Among them, the temperature-refractive correlation signal includes a large temperature-refractive correlation signal and a small temperature-refractive correlation signal;

[0134] In some embodiments, a temperature-refractive index is obtained, and the temperature-refractive index is compared with a temperature-refractive index threshold.

[0135] It should be noted that the temperature-refractive index threshold is obtained in the same way as the temperature-refractive index itself, and is set by those skilled in the art.

[0136] If the temperature-refractive index is less than or equal to the temperature-refractive index threshold, it means that the smaller the temperature-refractive index, the greater the correlation between the sample temperature and the sample refractive index, and thus a large temperature-refractive correlation signal is generated.

[0137] If the temperature-refractive index is greater than the temperature-refractive index threshold, it means that the larger the temperature-refractive index, the smaller the correlation between the sample temperature and the sample refractive index, and thus a small temperature-refractive correlation signal is generated.

[0138] Step 7: Based on the temperature-refraction correlation signal, calculate the stirring speed adjustment value according to the temperature difference value;

[0139] In some embodiments, the temperature difference value is obtained using a formula. The stirring speed adjustment value ST is calculated; where Cw represents the temperature difference value, β represents the mean value of the temperature-refractive relationship value, and α represents the influence coefficient of stirring speed on the temperature difference value.

[0140] It should be noted that the influence coefficient α of the stirring speed on the temperature difference value is calculated by a linear regression equation;

[0141] When the stirring speed adjustment value ST is obtained, the stirring speed during the sample concentration process is adjusted according to the stirring speed adjustment value ST.

[0142] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A method for detecting the exposure concentration of endocrine disruptors in the human body, characterized in that, Includes the following steps: S10: Sample collection, collecting samples from the object being tested; S20: Sample processing, which involves appropriately processing the collected samples to improve the sensitivity and accuracy of the detection. S30: Instrument detection, using instruments to detect the processed sample; S40: Data processing, analyzing data based on test results, and assessing the exposure concentration of endocrine disruptors in the human body; S20 specifically includes the following steps: S21: Sample extraction, used to extract the target compound from the test sample; S22: Sample purification, used to remove impurities from the extract to improve the accuracy and sensitivity of the analysis; S23: Sample concentration, used to concentrate the purified sample to reduce the injection volume and improve detection sensitivity; a detection period is set during the sample concentration process, and the sample concentration process is adjusted in a timely manner by detecting the sample concentration process; Specifically, S23 includes: The sample data during the concentration process is obtained, and the sample concentration verification index is calculated; where the sample data refers to the sample refractive index. Based on the sample concentration verification index, determine whether the sample concentration step is qualified and generate a sample concentration step status signal; the sample concentration step status signal includes a qualified sample concentration step signal and a failed sample concentration step signal. Based on the failure signal of the sample concentration step, the temperature data during the sample concentration process is obtained, and the sample temperature distribution assessment value and temperature difference assessment value are calculated. Based on the sample temperature distribution assessment value and temperature difference assessment value, the sample temperature assessment index is calculated; where temperature data refers to the sample temperature value. Based on the sample temperature assessment index, the temperature status during the sample concentration process is determined, and a sample temperature status signal is generated; the sample temperature status signal includes a normal sample temperature signal and a sample temperature abnormal signal. Based on the abnormal sample temperature signal, sample temperature data and sample refractive index data are acquired. The preset-expected deviation value of sample refractive index during the detection period is calculated based on the sample refractive index data. Then, based on the preset-expected deviation value of sample refractive index and the temperature difference value during the detection period, the temperature-refractive index assessment index is calculated. Here, the sample temperature data refers to the temperature difference value, and the sample refractive index data refers to the sample refractive index during the detection period. Based on the temperature-refractive index, the relationship between sample temperature and sample refractive index is determined, and a temperature-refractive correlation signal is generated; among which, the temperature-refractive correlation signal includes a large temperature-refractive correlation signal and a small temperature-refractive correlation signal; Based on the temperature-refractive correlation signal, the stirring speed adjustment value is calculated according to the temperature difference value; The specific methods for obtaining the sample concentration verification index include: The preset time for sample concentration is divided into several detection periods, and the sample refractive index is obtained in each detection period. A coordinate system is established with time as the X-axis and refractive index as the Y-axis. The refractive indices of all samples acquired during the detected time periods are substituted into the coordinate system to generate a map of sample refractive index changes. Obtain the coordinates of each point in the sample refractive index change map, and calculate the ratio of the X-axis coordinate value to the Y-axis coordinate value of each point to obtain the coordinate point's expression value; The variance of all coordinate point values ​​is calculated to obtain the coordinate point fluctuation value; The sample's preset refractive index prediction deviation value is obtained, and the sample's preset refractive index prediction deviation value is weighted and summed with the coordinate point expression fluctuation value to calculate the sample concentration verification index. The methods for obtaining the sample temperature assessment index include: The sample is divided into several sub-regions, and the temperature values ​​of the sample sub-regions during the detected period are obtained and marked as sub-region temperature values. The temperature difference between adjacent sub-regions is calculated to obtain the sample temperature distribution difference. The average temperature distribution difference of all samples is calculated by averaging the differences in the temperature distribution of all samples. The average difference in the average temperature distribution of samples from all tested time periods is averaged to obtain the sample temperature distribution assessment value. The temperature difference value is obtained by calculating the ratio of the average temperature distribution difference of the sample to the preset average temperature distribution difference of the sample. The average of the temperature difference values ​​for all detected time periods is calculated to obtain the temperature difference assessment value; The sample temperature assessment index is calculated by weighting and summing the temperature difference assessment value and the sample temperature distribution assessment value. The specific methods for obtaining the temperature-refractive index include: Obtain the preset-expected deviation value of the refractive index of the sample during the detected period. Establish a coordinate system with the temperature difference value as the X-axis and the preset-expected deviation value of the refractive index of the sample during the detected period as the Y-axis. Substitute the temperature difference value and the corresponding refractive deviation value of the sample during the detected period into the coordinate system to generate a temperature-refractive curve. Obtain the coordinate values ​​in the temperature-refractive curve, and calculate the ratio of the X-axis coordinate value to the Y-axis coordinate value for each coordinate to obtain the temperature-refractive relationship value; The variance of all temperature-refractive values ​​is calculated to obtain the temperature-refractive evaluation index.

2. The method for detecting the exposure concentration of endocrine disruptors in the human body according to claim 1, characterized in that, The specific methods for obtaining the sample's preset refractive index prediction deviation value include: The difference in refractive index of samples from adjacent detection periods is calculated to obtain the refractive index change value for the detection period. The refractive index change values ​​of all detected time periods are averaged to obtain the predicted refractive index change value; The number of undetected time periods is obtained, and the predicted value of refractive index change is multiplied by the number of undetected time periods to calculate the total predicted value of sample refractive index change. The predicted sample refractive index is obtained by calculating the difference between the total predicted value of the sample refractive index change and the sample refractive index during the current detection period. The difference between the expected sample refractive index and the preset sample refractive index is calculated to obtain the sample preset refractive index prediction deviation value. The ratio of the predicted deviation value of the sample's preset refractive index to the sample's preset refractive index is calculated to obtain the degree of prediction deviation value of the sample's preset refractive index.

3. The method for detecting the exposure concentration of endocrine disruptors in the human body according to claim 1, characterized in that, The specific methods for generating the status signal of the sample concentration step include: Obtain the sample concentration verification index and compare the sample concentration verification index with the sample concentration verification index. If the sample concentration verification index is less than or equal to the sample concentration verification index threshold, it means that the smaller the sample concentration verification index, the closer the sample concentration step is to the qualified standard, and a qualified signal for the sample concentration step is generated. If the sample concentration verification index is greater than the sample concentration verification index threshold, it means that the larger the sample concentration verification index is, the more the sample concentration step deviates from the qualified standard, and a sample concentration step unqualified signal is generated.

4. The method for detecting the exposure concentration of an endocrine disruptor in the human body according to claim 1, characterized in that, The sample temperature state signal is generated in the following ways: Obtain the sample temperature assessment index and compare it with the sample temperature assessment index threshold. If the sample temperature assessment index is less than or equal to the sample temperature assessment index threshold, it means that the smaller the sample temperature assessment index, the more normal the temperature state during the sample concentration process, and a normal sample temperature signal is generated. If the sample temperature assessment index is greater than the sample temperature assessment index threshold, it means that the larger the sample temperature assessment index is, the more abnormal the temperature state is during the sample concentration process, and thus a sample temperature abnormality signal is generated.

5. The method for detecting the exposure concentration of an endocrine disruptor in the human body according to claim 1, characterized in that, The method for obtaining the preset-expected deviation value of the refractive index of the sample during the detected period is as follows: The difference between the preset refractive index of the sample and the initial refractive index of the sample is calculated to obtain the total change in the refractive index of the sample. The ratio of the total change in the refractive index of the sample to the total number of samples during the detection period is calculated to obtain the expected change in the refractive index of the sample during the detection period. The difference between the expected change in refractive index of the sample during the detection period and the change in refractive index during the detected period is calculated to obtain the preset-expected deviation value of the refractive index of the sample during the detected period. The ratio of the preset-expected deviation value of the refractive index of the sample during the detected period to the expected change value of the refractive index of the sample during the detected period is calculated to obtain the preset-expected deviation value of the refractive index of the sample during the detected period.

6. The method for detecting the exposure concentration of an endocrine disruptor in the human body according to claim 1, characterized in that, The specific methods for generating the temperature-refractive correlation signal include: Obtain the temperature-refractive index and compare it with the temperature-refractive index threshold. If the temperature-refractive index is less than or equal to the temperature-refractive index threshold, it means that the smaller the temperature-refractive index, the greater the correlation between the sample temperature and the sample refractive index, and thus a large temperature-refractive correlation signal is generated. If the temperature-refractive index is greater than the temperature-refractive index threshold, it means that the larger the temperature-refractive index, the smaller the correlation between the sample temperature and the sample refractive index, and thus a small temperature-refractive correlation signal is generated.

7. The method for detecting the exposure concentration of endocrine disruptors in the human body according to claim 1, characterized in that, The method for obtaining the stirring speed adjustment value specifically includes: To obtain the temperature difference value, use the formula. The stirring speed adjustment value ST is calculated; where Cw represents the temperature difference value, β represents the mean value of the temperature-refractive relationship value, and α represents the influence coefficient of stirring speed on the temperature difference value.

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