Optimization method for detecting exposure concentration of environmental endocrine disrupter in human body

Abstract

The invention relates to the technical field of detection, in particular to an optimization method for detecting the exposure concentration of an environmental endocrine disrupter in a human body, which comprises the following steps: acquiring sample data, and calculating to obtain a sample concentration check index; generating a sample concentration step state signal according to the sample concentration verification index; acquiring temperature data, and calculating to obtain a sample temperature evaluation index; generating a sample temperature state signal according to the sample temperature evaluation index; acquiring sample temperature data and sample refractive index data, and calculating to obtain a temperature-refraction evaluation index; generating a temperature-refraction correlation signal according to the temperature-refraction evaluation index; calculating a stirring speed adjustment value according to the temperature difference degree value; by analyzing the refractive index of the sample and the temperature in the sample concentration process, the stirring speed in the sample concentration process is adjusted, and the influence of the sample treatment process on the detection result is reduced, so that the accuracy of the detection result of the exposure concentration of the environmental endocrine disrupter in the human body is improved.

Description

Technical Field

[0001] The present invention relates to the field of detection technology, and in particular to an optimization method for detecting the exposure concentration of environmental endocrine disruptors in the human body. Background Art

[0002] Environmental endocrine disruptors (EDCs) are a class of chemical substances that can interfere with the normal function of the endocrine system and are widely present in environmental media (such as water, soil, and air) and daily necessities. EDCs cause multiple hazards to the body's health by simulating or antagonizing endogenous hormones, disrupting hormone synthesis, metabolism, or signal transduction pathways. Studies have shown that exposure to EDCs 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). It is particularly noteworthy that exposure to EDCs during pregnancy or childhood may lead to irreversible developmental toxicity, highlighting its public health risks.

[0003] At present, the detection of EDCs exposure concentration in the human body mainly relies on liquid chromatography-mass spectrometry (LC-MS), which has high sensitivity and specificity, but still has significant limitations in practical applications. The stability of the sample pretreatment stage (such as extraction, purification, and concentration) directly affects the accuracy of the test results. For example, temperature fluctuations in the sample solution during the concentration process will lead to uneven solute volatilization rates, which in turn affect the law of refractive index changes; 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, and only rely on fixed parameter operations. They cannot effectively deal with random interference from environmental factors, which ultimately leads to deviations in test results or insufficient repeatability.

[0004] Therefore, developing a detection method that can evaluate and optimize sample processing conditions in real time is a key requirement to improve the accuracy of EDCs exposure concentration detection. Summary of the invention

[0005] The purpose of the present invention is to provide an optimized method for detecting the exposure concentration of environmental endocrine disruptors in the human body to solve the above-mentioned problems.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] An optimized method for detecting the exposure concentration of environmental endocrine disruptors in the human body, comprising:

[0008] S10: Sample collection: collecting samples from the test object;

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

[0010] S30: Instrument detection, using an instrument to detect the processed samples;

[0011] S40: Data processing, performing data analysis based on the detection results to evaluate the exposure concentration of endocrine disruptors in the human body;

[0012] The said S20 specifically includes the following steps:

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

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

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

[0016] The said S23 specifically includes:

[0017] Obtain the sample data during the concentration process of the sample, and calculate the sample concentration verification index; wherein, the sample data refers to the refractive index of the sample;

[0018] According to the sample concentration verification index, judge whether the sample concentration step is qualified, and generate a sample concentration step status signal; wherein, the sample concentration step status signal includes a sample concentration step qualified signal and a sample concentration step unqualified signal;

[0019] Based on the sample concentration step unqualified signal, obtain the temperature data during the sample concentration process, calculate the sample temperature distribution evaluation value and the temperature difference degree evaluation value, and according to the sample temperature distribution evaluation value and the temperature difference degree evaluation value, calculate the sample temperature evaluation index; wherein, the temperature data refers to the sample temperature value;

[0020] According to the sample temperature evaluation index, judge the temperature status during the sample concentration process, and generate a sample temperature status signal; wherein the sample temperature status signal includes a sample temperature normal signal and a sample temperature abnormal signal;

[0021] Based on the abnormal signal of the sample temperature, obtain the sample temperature data and the sample refractive index data. Calculate the preset-expected deviation degree value of the sample refractive index during the detection period according to the sample refractive index data, and then calculate the temperature-refraction evaluation index according to the preset-expected deviation degree value of the sample refractive index and the temperature difference degree value during the detection period; wherein, the sample temperature data refers to the temperature difference degree value, and the sample refractive index data refers to the sample refractive index within the detected period.

[0022] According to the temperature-refraction evaluation index, judge the relationship between the sample temperature and the sample refractive index, and generate a temperature-refraction correlation signal; wherein, the temperature-refraction correlation signal includes a large temperature-refraction correlation signal and a small temperature-refraction correlation signal.

[0023] Based on the large temperature-refraction correlation signal, calculate the stirring speed adjustment value according to the temperature difference degree value.

[0024] As a further solution of the present invention: The specific acquisition method of the sample concentration verification index includes:

[0025] Divide the preset time of sample concentration into several detection periods equally, and obtain the sample refractive index of the sample during the detected period.

[0026] Among them, the sample refractive index

[0027] Establish a coordinate system with time as the X-axis and refractive index as the Y-axis, substitute the obtained sample refractive indices of all detected periods into the coordinate system, and generate a sample refractive index change point diagram.

[0028] Obtain each coordinate point in the sample refractive index change point diagram, calculate the ratio of the X-axis coordinate value to the Y-axis coordinate value of each coordinate point, and obtain the coordinate point expression value.

[0029] Perform variance calculation on all the coordinate point expression values to obtain the coordinate point expression fluctuation value.

[0030] Obtain the preset refractive index prediction deviation degree value of the sample, and perform weighted summation of the preset refractive index prediction deviation degree value of the sample and the coordinate point expression fluctuation value to calculate the sample concentration verification index.

[0031] As a further solution of the present invention: The specific acquisition method of the preset refractive index prediction deviation degree value of the sample specifically includes:

[0032] Perform difference calculation on the sample refractive indices of adjacent detected periods to obtain the refractive index change value of the detected period.

[0033] Perform mean calculation on the refractive index change values of all detected periods to obtain the refractive index change prediction value.

[0034] Obtain the number of undetected time periods, multiply the predicted refractive index change value by the number of undetected time periods to calculate the product, and obtain the total predicted refractive index change value of the sample;

[0035] Calculate the difference between the total predicted refractive index change value of the sample and the refractive index of the sample in the current detection time period to obtain the predicted refractive index of the sample;

[0036] Calculate the difference between the predicted refractive index of the sample and the preset refractive index of the sample to obtain the predicted deviation value of the preset refractive index of the sample;

[0037] Calculate the ratio of the predicted deviation value of the preset refractive index of the sample to the preset refractive index of the sample to obtain the predicted deviation degree value of the preset refractive index of the sample.

[0038] As a further solution of the present invention: The specific generation method of the state 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 then generate a qualified signal for the sample concentration step;

[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, the more the sample concentration step deviates from the qualified standard, and then generate an unqualified signal for the sample concentration step.

[0042] As a further solution of the present invention: The acquisition method of the sample temperature evaluation index includes:

[0043] Divide the sample into several sub-regions, obtain the temperature values of the sample sub-regions during the detected time periods, and mark them as sub-region temperature values;

[0044] Calculate the difference between adjacent sub-region temperature values to obtain the sample temperature distribution difference;

[0045] Calculate the average value of all sample temperature distribution differences to obtain the average sample temperature distribution difference;

[0046] Calculate the average value of the average sample temperature distribution differences of all detected time periods to obtain the sample temperature distribution evaluation value;

[0047] Calculate the ratio of the average sample temperature distribution difference to the preset average sample temperature distribution difference to obtain the temperature difference degree value;

[0048] Calculate the average value of the temperature difference degree values of all detected time periods to obtain the temperature difference degree evaluation value;

[0049] The temperature difference degree evaluation value and the sample temperature distribution evaluation value are weighted and summed to calculate the sample temperature evaluation index.

[0050] As a further solution of the present invention: The generation method of the sample temperature state signal includes:

[0051] Obtain the sample temperature evaluation index, and compare the sample temperature evaluation index with the sample temperature evaluation index threshold;

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

[0053] If the sample temperature evaluation index is greater than the sample temperature evaluation index threshold, it means that the larger the sample temperature evaluation index, the more abnormal the temperature state during the sample concentration process, and then generate a sample temperature abnormal signal.

[0054] As a further solution of the present invention: The specific method for obtaining the temperature-refraction evaluation index includes:

[0055] Obtain the preset-expected deviation degree value of the sample refractive index in the detected period, establish a coordinate system with the temperature difference degree value as the X-axis and the preset-expected deviation degree value of the sample refractive index in the detected period as the Y-axis, substitute the temperature difference degree value and the corresponding detected period sample refraction deviation value into the coordinate system, and generate a temperature-refraction curve;

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

[0057] Perform variance calculation on all the temperature-refraction relationship values to obtain the temperature-refraction evaluation index.

[0058] As a further solution of the present invention: The method for obtaining the preset-expected deviation degree value of the sample refractive index in the detected period is:

[0059] Calculate the difference between the sample preset refractive index and the sample refractive index initial value to obtain the total sample refractive index change value;

[0060] Calculate the ratio of the total sample refractive index change value to the total number of detection periods to obtain the expected change value of the sample refractive index in the detection period;

[0061] Calculate the difference between the expected change value of the sample refractive index in the detection period and the refractive index change value in the detected period to obtain the preset-expected deviation value of the sample refractive index in the detected period;

[0062] Calculate the ratio of the preset-expected deviation value of the refractive index of the sample in the detected period to the expected change value of the refractive index of the sample in the detected period to obtain the preset-expected deviation degree value of the refractive index of the sample in the detected period.

[0063] As a further solution of the present invention: The specific manner of generating the temperature-refraction correlation signal specifically includes:

[0064] Obtain a temperature-refraction evaluation index and compare the temperature-refraction evaluation index with a temperature-refraction evaluation index threshold;

[0065] If the temperature-refraction evaluation index is less than or equal to the temperature-refraction evaluation index threshold, it indicates that the smaller the temperature-refraction evaluation index, the greater the correlation between the sample temperature and the refractive index of the sample, and then generate a large temperature-refraction correlation signal;

[0066] If the temperature-refraction evaluation index is greater than the temperature-refraction evaluation index threshold, it indicates that the larger the temperature-refraction evaluation index, the smaller the correlation between the sample temperature and the refractive index of the sample, and then generate a small temperature-refraction correlation signal.

[0067] As a further solution of the present invention: The specific manner of obtaining the stirring speed adjustment value specifically includes:

[0068] Obtain a temperature difference degree value, and calculate the stirring speed adjustment value ST through the formula ST = Cw * β * α; where Cw represents the temperature difference degree value, β represents the mean value of the temperature-refraction relationship value, and α represents the influence coefficient of the stirring speed on the temperature difference degree value.

[0069] The present invention analyzes the refractive index of the sample and the temperature during the sample concentration process, calculates the stirring speed adjustment value during the sample concentration process, adjusts the stirring speed during the sample concentration process, reduces the influence of the sample treatment process on the detection result, and thus improves the accuracy of the detection result of the exposure concentration of environmental endocrine disruptors in the human body. BRIEF DESCRIPTION OF THE DRAWINGS

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

[0071] Figure 2 is a flowchart of S23 in the embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0072] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present 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 only used to explain the present invention and are not used to limit the present invention.

[0073] The following will describe in detail the specific implementation of the present invention in combination with specific embodiments.

[0074] Please refer to Figure 1 As shown, the present invention is an optimized method for detecting the exposure concentration of environmental endocrine disruptors in the human body, including the following steps:

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

[0076] S20: Sample processing, appropriately processing the collected samples to improve the detection sensitivity and accuracy;

[0077] S30: Using an instrument to detect the processed samples;

[0078] S40: Data processing, performing data analysis based on the detection results to evaluate the exposure concentration of endocrine disruptors in the human body;

[0079] The said S20 specifically includes the following steps:

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

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

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

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

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

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

[0086] In some embodiments, the preset time of sample concentration is evenly divided into several detection periods, and the refractive index of the sample in the detected periods is obtained;

[0087] It should be explained that during the sample processing, the sample is usually dissolved in a suitable solvent, and the selection of this solvent is made by relevant personnel in the field according to the sample; in addition, the detected period refers to the detection period within the time that has been completed during the sample concentration process;

[0088] Taking time as the X-axis and refractive index as the Y-axis to establish a coordinate system, substituting the refractive indices of the samples in all detected time periods obtained into the coordinate system to generate a point diagram of the change in the refractive index of the samples;

[0089] Obtaining each coordinate point in the point diagram of the change in the refractive index of the samples, calculating the ratio of the X-axis coordinate value to the Y-axis coordinate value of each coordinate point to obtain the expression value of the coordinate point;

[0090] Calculating the variance of all the expression values of the coordinate points to obtain the fluctuation value of the expression of the coordinate points;

[0091] Furthermore, calculating the difference between the refractive indices of the samples in adjacent detected time periods to obtain the change value of the refractive index in the detected time periods;

[0092] Calculating the average value of all the change values of the refractive index in the detected time periods to obtain the predicted change value of the refractive index;

[0093] Obtaining the number of undetected time periods, multiplying the predicted change value of the refractive index by the number of undetected time periods to calculate the total predicted change value of the refractive index of the samples;

[0094] It should be explained that the undetected time periods refer to the detection time periods within the remaining time of the sample concentration process;

[0095] Calculating the difference between the total predicted change value of the refractive index of the samples and the refractive index of the samples in the current detected time period to obtain the predicted refractive index of the samples;

[0096] Calculating the difference between the predicted refractive index of the samples and the preset refractive index of the samples to obtain the predicted deviation value of the preset refractive index of the samples;

[0097] Calculating the ratio of the predicted deviation value of the preset refractive index of the samples to the preset refractive index of the samples to obtain the predicted deviation degree value of the preset refractive index of the samples;

[0098] It should be explained that the preset refractive index of the samples refers to the final refractive index of the samples after concentration, and its value is set by relevant personnel in this field according to the preset sample concentration value after sample concentration; in addition, the preset sample concentration value is also set by relevant personnel in this field according to the detection conditions of the equipment;

[0099] Performing a weighted sum of the predicted deviation degree value of the preset refractive index of the samples and the fluctuation value of the expression of the coordinate points to calculate the sample concentration verification index;

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

[0101] Step 2: Judging whether the sample concentration step is qualified according to the sample concentration verification index to generate a sample concentration step status signal;

[0102] Among them, the sample concentration step status signal includes a qualified signal for the sample concentration step and an unqualified signal for the sample concentration step;

[0103] In some embodiments, a sample concentration verification index is obtained and 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, which will not be elaborated here. Specifically, the relevant personnel in this field can set the values of the coordinate point expression fluctuation value and the predicted deviation value of the sample preset refractive index to calculate the sample concentration verification index threshold;

[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, the more deviated the sample concentration step is from the qualified standard, and an unqualified signal for the sample concentration step 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, the temperature data refers to the sample temperature value;

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

[0110] Calculate the difference between adjacent sub-region temperature values to obtain the sample temperature distribution difference;

[0111] Calculate the average value of all sample temperature distribution differences to obtain the average sample temperature distribution difference;

[0112] Calculate the average value of the average sample temperature distribution differences of all detected time periods to obtain the sample temperature distribution evaluation value;

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

[0114] It should be explained that the preset average sample temperature distribution difference represents the maximum average sample temperature distribution difference that can be tolerated during the sample concentration process without affecting the sample concentration step, and its value is set by the relevant personnel in this field;

[0115] Calculate the average value of the temperature difference degree values for all detected time periods to obtain the temperature difference degree evaluation value;

[0116] Perform weighted summation on the temperature difference degree evaluation value and the sample temperature distribution evaluation value to calculate the sample temperature evaluation index.

[0117] Step Four: Based on the sample temperature evaluation index, determine the temperature state during the sample concentration process and generate a sample temperature state signal;

[0118] Among them, the sample temperature state signal includes a sample temperature normal signal and a sample temperature abnormal signal;

[0119] In some embodiments, obtain the sample temperature evaluation index and compare it with the sample temperature evaluation index threshold;

[0120] It should be noted that the method for obtaining the sample temperature evaluation index threshold is the same as that for obtaining the sample temperature evaluation index, which will not be elaborated here, and its value is set by relevant personnel in the field;

[0121] If the sample temperature evaluation index is less than or equal to the sample temperature evaluation index threshold, it indicates that the smaller the sample temperature evaluation index, the more normal the temperature state during the sample concentration process, and a sample temperature normal signal is generated; when the sample temperature normal signal is received, it is necessary to further analyze the reasons for the unqualified sample concentration step;

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

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

[0124] Among them, the sample temperature data refers to the temperature difference degree value, and the sample refractive index data refers to the sample refractive index within the detected time period;

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

[0126] Calculate the ratio of the total change value of the sample refractive index to the total number of detected time periods to obtain the expected change value of the sample refractive index for the detected time period;

[0127] Calculate the difference between the expected change value of the sample refractive index for the detected time period and the refractive index change value of the detected time period to obtain the preset - expected deviation value of the sample refractive index for the detected time period;

[0128] Calculate the ratio of the preset-expected deviation value of the refractive index of the sample in the detected period to the expected change value of the refractive index of the sample in the detected period to obtain the preset-expected deviation degree value of the refractive index of the sample in the detected period;

[0129] Taking the temperature difference degree value as the X-axis and the preset-expected deviation degree value of the refractive index of the sample in the detected period as the Y-axis to establish a coordinate system, substitute the temperature difference degree value and the corresponding refractive deviation value of the sample in the detected period into the coordinate system to generate a temperature-refraction curve;

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

[0131] Perform variance calculation on all the temperature-refraction relationship values to obtain the temperature-refraction evaluation index.

[0132] Step Six: According to the temperature-refraction evaluation index, judge the relationship between the sample temperature and the refractive index of the sample to generate a temperature-refraction correlation signal;

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

[0134] In some embodiments, obtain the temperature-refraction evaluation index and compare the temperature-refraction evaluation index with the temperature-refraction evaluation index threshold;

[0135] It should be noted that the temperature-refraction evaluation index threshold is obtained in the same way as the temperature-refraction evaluation index and is set by relevant personnel in the field;

[0136] If the temperature-refraction evaluation index is less than or equal to the temperature-refraction evaluation index threshold, it means that the smaller the temperature-refraction evaluation index, the greater the correlation between the sample temperature and the refractive index of the sample, and then generate a large temperature-refraction correlation signal;

[0137] If the temperature-refraction evaluation index is greater than the temperature-refraction evaluation index threshold, it means that the larger the temperature-refraction evaluation index, the smaller the correlation between the sample temperature and the refractive index of the sample, and then generate a small temperature-refraction correlation signal.

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

[0139] In some embodiments, obtain the temperature difference degree value, and calculate the stirring speed adjustment value ST through the formula ST = Cw * β * α; where Cw represents the temperature difference degree value, β represents the mean value of the temperature-refraction relationship value, and α represents the influence coefficient of the stirring speed on the temperature difference degree value;

[0140] It should be noted that the influence coefficient α of the stirring speed on the temperature difference degree value is obtained by calculating 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 the embodiments of the present invention have been shown and described, those of ordinary skill in the art can understand that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An optimized method for detecting the exposure concentration of environmental endocrine disruptors in the human body, characterized in that, It includes the following steps: S10: Sample collection, collecting samples from the detection object; S20: Sample processing, appropriately processing the collected samples to improve the detection sensitivity and accuracy; S30: Instrument detection, using an instrument to detect the processed samples; S40: Data processing, performing data analysis based on the detection results to evaluate the exposure concentration of endocrine disruptors in the human body; In S20, it specifically includes the following steps: S21: Sample extraction, used to extract target compounds from the detection samples; S22: Sample purification, used to remove impurities in the extract to improve the analysis accuracy and sensitivity; S23: Sample concentration, used to concentrate the purified samples to reduce the injection volume and improve the detection sensitivity; setting a detection period during the sample concentration process, and adjusting the sample concentration process in a timely manner through the detection of the sample concentration process; In S23, it specifically includes: Obtaining sample data during the concentration process of the sample, and calculating to obtain a sample concentration verification index; wherein, the sample data refers to the refractive index of the sample; Judging whether the sample concentration step is qualified according to the sample concentration verification index, and generating a sample concentration step status signal; wherein, the sample concentration step status signal includes a sample concentration step qualified signal and a sample concentration step unqualified signal; Based on the sample concentration step unqualified signal, obtaining temperature data during the sample concentration process, calculating to obtain a sample temperature distribution evaluation value and a temperature difference degree evaluation value, and calculating to obtain a sample temperature evaluation index according to the sample temperature distribution evaluation value and the temperature difference degree evaluation value; wherein, the temperature data refers to the sample temperature value; Judging the temperature status during the sample concentration process according to the sample temperature evaluation index, and generating a sample temperature status signal; wherein the sample temperature status signal includes a sample temperature normal signal and a sample temperature abnormal signal; Based on the sample temperature abnormal signal, obtaining sample temperature data and sample refractive index data, calculating to obtain a preset-expected deviation degree value of the sample refractive index during the detection period, and then calculating to obtain a temperature-refraction evaluation index according to the preset-expected deviation degree value of the sample refractive index during the detection period and the temperature difference degree value; wherein, the sample temperature data refers to the temperature difference degree value, and the sample refractive index data refers to the sample refractive index within the detected period; Judging the relationship between the sample temperature and the sample refractive index according to the temperature-refraction evaluation index, and generating a temperature-refraction correlation signal; wherein, the temperature-refraction correlation signal includes a large temperature-refraction correlation signal and a small temperature-refraction correlation signal; Based on the large temperature-refraction correlation signal, calculating to obtain a stirring speed adjustment value according to the temperature difference degree value.

2. The optimized method for detecting the exposure concentration of environmental endocrine disruptors in the human body according to claim 1, wherein The specific way to obtain the sample concentration verification index includes: Dividing the preset time of sample concentration into several detection periods, and obtaining the sample refractive index of the sample during the detected period; Establishing a coordinate system with time as the X-axis and refractive index as the Y-axis, substituting the obtained sample refractive indices of all detected periods into the coordinate system, and generating a sample refractive index change point diagram; Obtain each coordinate point in the refractive index change position map of the sample, calculate the ratio of the X-axis coordinate value to the Y-axis coordinate value of each coordinate point to obtain the coordinate point expression value; Perform variance calculation on all the coordinate point expression values to obtain the coordinate point expression fluctuation value; Obtain the predicted deviation degree value of the preset refractive index of the sample, and perform weighted summation of the predicted deviation degree value of the preset refractive index of the sample and the coordinate point expression fluctuation value to calculate and obtain the sample concentration verification index.

3. The optimized method for detecting the exposure concentration of environmental endocrine disruptors in the human body according to claim 2, characterized in that, The specific method for obtaining the predicted deviation degree value of the preset refractive index of the sample specifically includes: Perform difference calculation on the refractive indices of the sample in adjacent detected time periods to obtain the refractive index change value in the detected time period; Perform mean calculation on all the refractive index change values in the detected time periods to obtain the refractive index change prediction value; Obtain the number of undetected time periods, and perform multiplication calculation on the refractive index change prediction value and the number of undetected time periods to obtain the total predicted value of the refractive index change of the sample; Perform difference calculation on the total predicted value of the refractive index change of the sample and the refractive index of the sample in the current detected time period to obtain the predicted refractive index of the sample; Perform difference calculation on the predicted refractive index of the sample and the preset refractive index of the sample to obtain the predicted deviation value of the preset refractive index of the sample; Perform ratio calculation on the predicted deviation value of the preset refractive index of the sample and the preset refractive index of the sample to obtain the predicted deviation degree value of the preset refractive index of the sample.

4. An optimized method for detecting the exposure concentration of environmental endocrine disruptors in the human body according to claim 2, characterized in that, The specific generation method of the sample concentration step status signal includes: 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 sample concentration step qualified signal 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, the more deviated the sample concentration step is from the qualified standard, and a sample concentration step unqualified signal is generated.

5. The optimized method for detecting the exposure concentration of an environmental endocrine disruptor in the human body according to claim 1, characterized in that The method for obtaining the sample temperature evaluation index includes: Divide the sample into several sub-regions, obtain the temperature values of the sample sub-regions in the detected time periods, and mark them as sub-region temperature values; Perform difference calculation on adjacent sub-region temperature values to obtain the sample temperature distribution difference; Perform mean calculation on all the sample temperature distribution differences to obtain the average sample temperature distribution difference; Perform mean calculation on the average sample temperature distribution differences in all the detected time periods to obtain the sample temperature distribution evaluation value; Perform ratio calculation on the average sample temperature distribution difference and the preset average sample temperature distribution difference to obtain the temperature difference degree value; Perform mean calculation on the temperature difference degree values in all the detected time periods to obtain the temperature difference degree evaluation value; Perform weighted summation of the temperature difference degree evaluation value and the sample temperature distribution evaluation value to calculate and obtain the sample temperature evaluation index.

6. The optimized method for detecting the exposure concentration of environmental endocrine disruptors in the human body according to claim 5, wherein The generation method of the sample temperature status signal includes: Obtain the sample temperature evaluation index, and compare the sample temperature evaluation index with the sample temperature evaluation index threshold; If the sample temperature evaluation index is less than or equal to the sample temperature evaluation index threshold, it means that the smaller the sample temperature evaluation index, the more normal the temperature state during the sample concentration process, and a sample temperature normal signal is generated; If the sample temperature evaluation index is greater than the sample temperature evaluation index threshold, it indicates that the greater the sample temperature evaluation index, the more abnormal the temperature state during the sample concentration process, and then a sample temperature abnormal signal is generated.

7. An optimized method for detecting the exposure concentration of environmental endocrine disruptors in the human body according to claim 1, characterized in that The specific method for obtaining the temperature-refraction evaluation index includes: Obtain the preset-expected deviation degree value of the sample refractive index during the detected period. Establish a coordinate system with the temperature difference degree value as the X-axis and the preset-expected deviation degree value of the sample refractive index during the detected period as the Y-axis. Substitute the temperature difference degree value and the corresponding refractive index deviation value of the sample during the detected period into the coordinate system to generate a temperature-refraction curve; Obtain the coordinate values in the temperature-refraction curve, calculate the ratio of the X-axis coordinate value to the Y-axis coordinate value of each coordinate to obtain the temperature-refraction relationship value; Perform variance calculation on all the temperature-refraction relationship values to obtain the temperature-refraction evaluation index.

8. The optimized method for detecting the exposure concentration of environmental endocrine disruptors in the human body according to claim 7, characterized in that The method for obtaining the preset-expected deviation degree value of the sample refractive index during the detected period is: Calculate the difference between the preset refractive index of the sample and the initial value of the sample refractive index to obtain the total change value of the sample refractive index; Calculate the ratio of the total change value of the sample refractive index to the total number of detection periods to obtain the expected change value of the sample refractive index during the detection period; Calculate the difference between the expected change value of the sample refractive index during the detection period and the refractive index change value during the detected period to obtain the preset-expected deviation value of the sample refractive index during the detected period; Calculate the ratio of the preset-expected deviation value of the sample refractive index during the detected period to the expected change value of the sample refractive index during the detection period to obtain the preset-expected deviation degree value of the sample refractive index during the detected period.

9. An optimized method for detecting the exposure concentration of environmental endocrine disruptors in the human body according to claim 7, characterized in that, The specific method for generating the temperature-refraction correlation signal includes: Obtain the temperature-refraction evaluation index and compare the temperature-refraction evaluation index with the temperature-refraction evaluation index threshold; If the temperature-refraction evaluation index is less than or equal to the temperature-refraction evaluation index threshold, it indicates that the smaller the temperature-refraction evaluation index, the greater the correlation between the sample temperature and the sample refractive index, and then a large temperature-refraction correlation signal is generated; If the temperature-refraction evaluation index is greater than the temperature-refraction evaluation index threshold, it indicates that the greater the temperature-refraction evaluation index, the smaller the correlation between the sample temperature and the sample refractive index, and then a small temperature-refraction correlation signal is generated.

10. The optimized method for detecting the exposure concentration of an environmental endocrine disruptor in the human body according to claim 1, characterized in that, The specific method for obtaining the stirring speed adjustment value includes: Obtain the temperature difference degree value, and calculate the stirring speed adjustment value ST through the formula ST = Cw * β * α; where Cw represents the temperature difference degree value, β represents the average value of the temperature-refraction relationship values, and α represents the influence coefficient of the stirring speed on the temperature difference degree value.

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