Full-automatic sample pretreatment system and method

Abstract

The invention particularly relates to a full-automatic sample pretreatment system and method, and the method comprises the following steps: 1, test sample treatment: uniformly injecting blood from the same collection source into a plurality of test tubes to form test tube samples; 2, centrifugal separation testing; 3, analyzing a test result; and 4, processing the test sample. According to the method, the optimal centrifugal parameter is determined through multi-dimensional sample analysis and multi-condition centrifugal testing, the layering coefficient, the target coefficient and the evaluation index are comprehensively calculated, the layering effect, target component retention, impurity control and other factors of the blood sample are comprehensively considered, and the sample treatment result better meets the actual detection requirement; and the accuracy of an experiment result is greatly improved.

Description

Technical Field

[0001] This invention relates to the field of medical device technology, and in particular to a fully automated sample pretreatment system and method. Background Technology

[0002] In the medical device industry, the process of injecting the obtained sample into a special test tube and sealing it for preservation is called sampling. The sample after sampling is the sample to be tested. The series of operations performed by the laboratory technician on the sample to be tested before testing are collectively referred to as pretreatment.

[0003] In the pretreatment process, blood samples need to be centrifuged to facilitate subsequent testing operations. However, in the traditional centrifugation process, the selection of centrifugation conditions is only within a general range, and it is impossible to accurately determine the optimal centrifugation parameters for different detection needs. This affects the recovery rate and purity of the target components, thereby interfering with the accuracy and reliability of the test results.

[0004] Therefore, a fully automated sample preprocessing system and method are needed to solve the problems mentioned above. Summary of the Invention

[0005] The purpose of this invention is to provide a fully automated sample preprocessing system and method to solve the above-mentioned problems.

[0006] To achieve the above objectives, the present invention adopts the following technical solution: The fully automated sample pretreatment method includes the following steps: Step 1: Sample processing: Blood from the same source is evenly injected into several test tubes to form a test tube sample; Step 2: Centrifugation Separation Test: Based on the requirements for blood component separation, determine the centrifugation speed range and centrifugation time range. Within these ranges, select any combination of centrifugation speed and time to serve as the test conditions for each test tube sample. Perform centrifugation separation on each test tube sample. Each test condition includes several test tube samples, forming a test group, and the test conditions for each test group are different. Step 3: Test Result Analysis: Analyze the centrifuged test tube samples to obtain the stratification coefficient and target coefficient. Combine the stratification coefficient and target coefficient to obtain the evaluation index, and determine the optimal centrifugation speed and optimal centrifugation time based on the evaluation index. Step 4: Sample Processing: Label the samples to be tested, including the patient's name, sample number, collection date and time; centrifuge the samples at the optimal centrifugation speed and time; analyze the blood quality of the centrifuged samples by comparing them with standard patterns; after the samples meet the testing requirements, open the test tubes, transfer them to the rack, and perform the testing operations, then refrigerate the remaining samples according to the storage requirements.

[0007] Preferably, step one specifically includes the following parts: Inside the workbench, fresh blood from the same collection source is mixed together. Using a pipette, an equal amount of blood is precisely measured according to the specifications of the test tubes and evenly injected into several autoclaved test tubes with graduation markings to form a test tube sample. After injection, seal the test tube opening with a sealing plug and label each test tube with a number.

[0008] Preferably, in step two, each test tube sample is centrifuged, wherein the centrifugation operation includes: Place the test tube samples into the centrifuge in the set order, and start the centrifuge to centrifuge each test tube sample; during the centrifugation process, monitor the temperature and speed in real time; After centrifugation is complete and the centrifuge stops running, remove the test tube samples from the centrifuge.

[0009] Preferably, the analysis of the centrifuged test tube samples to obtain the stratification coefficient includes the following steps: Images of test tube samples in each test group after centrifugation were obtained and imported into image analysis software. The plasma layer and the area mixed with red blood cells were distinguished by color recognition and region segmentation functions. The area of ​​the plasma layer and the area mixed with red blood cells were obtained using the image analysis software. The red blood cell contamination ratio is obtained by dividing the area of ​​the red blood cell contamination region by the area of ​​the plasma layer. After obtaining the red blood cell contamination ratio of each test tube sample in each test group, the mean is calculated to obtain the mean red blood cell contamination ratio of each test group under the corresponding test conditions. The thickness of the white film layer of the test tube samples in each test group after centrifugation was obtained by flow cytometry; the mean and standard deviation of the white film layer thickness of the test tube samples in each test group were calculated; the standard deviation of the white film layer thickness of the test tube samples in each test group was divided by the mean of the white film layer thickness to obtain the coefficient of variation of the test tube samples in each test group. The red blood cell layer height of the test tube samples in each test group after centrifugation was obtained. The average red blood cell layer height of the test tube samples in each test group was calculated and recorded as the actual red blood cell layer height. The hematocrit of the test tube samples in each test group before centrifugation was obtained using a hematology analyzer, as well as the volume of the test tube samples in each test group. The volume of the test tube samples in each test group was multiplied by their corresponding hematocrit to obtain the hematocrit of the test tube samples in each test group. The average of these values ​​was then calculated to obtain the average hematocrit under the corresponding test conditions for each test group. The average hematocrit was then divided by the bottom area of ​​the test tube samples to obtain the theoretical sedimentation height. The error coefficient is obtained by calculating the difference between the theoretical sedimentation height and the actual red blood cell height, dividing it by the theoretical sedimentation height, and taking the absolute value. The red blood cell pooling mean, coefficient of variation, and error coefficient were denoted as follows: , , ,in Assign test group number, And substitute it into the formula: The stratification coefficients for each test group were obtained. ,in , , These are the maximum red blood cell contamination ratio, the maximum percentage of variation, and the maximum percentage of error, respectively. , , These are the weighting factors corresponding to the mean, coefficient of variation, and error coefficient of the red blood cell mixture in the test tube samples, respectively.

[0010] Preferably, the analysis of the centrifuged test tube samples to obtain the target coefficient includes the following steps: A pre-defined chemical substance in the blood was used as the target component. The content of the target component in the test tube samples of each test group was measured before centrifugation and recorded as the target content before centrifugation. The content of the target component in the test tube samples of each test group after centrifugation was obtained and recorded as the target content after centrifugation. The recovery rate of the test tube samples in each test group was obtained by dividing the target concentration after centrifugation by the corresponding target concentration before centrifugation, and then labeled as follows: ; The average recovery rate of the test tube samples within each test group was calculated to obtain the average recovery rate of each test group, and then marked as follows: ;in This refers to the sample number of the test tube within the test group. ; Through the formula: The deviation coefficients of each test group were calculated. ; The impurity content of each test tube sample in each test group after centrifugation is obtained and recorded as the impurity content after centrifugation; the total content of each test tube sample in each test group is obtained by summing the impurity content after centrifugation with the target content after centrifugation. The impurity coefficient of each test tube sample is obtained by dividing the impurity content of the test tube sample after centrifugation in each test group by the corresponding total content. The impurity coefficients of the test tube samples within each test group were averaged to obtain the average impurity coefficient for each test group, and this average was then labeled as follows: ; deviation coefficient and the mean of impurity coefficient Substitute into the formula: The target coefficients for each test group were obtained. ,in , These are the maximum deviation ratio and the maximum impurity ratio, respectively. , These are the weighting factors corresponding to the mean values ​​of the deviation coefficient and the impurity coefficient, respectively.

[0011] Preferably, the process of comprehensively processing the stratification coefficient and the target coefficient to obtain the evaluation index, and determining the optimal centrifugation speed and optimal centrifugation time based on the evaluation index, specifically includes the following parts: The weighting factors of the stratification coefficient and the target coefficient are preset. The evaluation index is obtained by multiplying the stratification coefficient and the target coefficient with their corresponding weighting factors and summing them. The evaluation index of each test group is obtained from this. The evaluation indices of each test group are arranged from left to right in descending order. After determining the minimum evaluation index, the centrifugation speed and centrifugation time in the test conditions corresponding to the minimum evaluation index are taken as the optimal centrifugation speed and optimal centrifugation time, respectively.

[0012] Preferably, in step four, according to the needs of sample testing, the samples to be tested that require refrigeration after centrifugation are refrigerated, specifically including: When the samples to be tested are placed in the refrigeration equipment, the staff must re-verify the labeling information of the samples to be tested and record the storage location and refrigeration time of the samples to be tested in detail in the storage record of the samples to be tested in the refrigeration equipment; the storage record should include the sample number, patient name, refrigeration start time, expected storage time and the specific location of the samples in the refrigeration equipment.

[0013] A fully automated sample pretreatment system, comprising: Centrifugation Separation Test Module: After setting the test conditions, the test tube samples are centrifuged. Test Result Analysis Module: Analyzes the centrifuged test tube samples to obtain an evaluation index, and obtains the optimal centrifugation speed and optimal centrifugation time based on the evaluation index; Sample processing module: Uses the optimal centrifugation speed and optimal centrifugation time to centrifuge and separate the samples, and performs corresponding processing on the processed samples.

[0014] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are: 1. This invention determines the optimal centrifugation parameters by comprehensively calculating the stratification coefficient, target coefficient, and evaluation index through multi-dimensional sample analysis and multi-condition centrifugation tests. It fully considers factors such as the stratification effect of blood samples, retention of target components, and impurity control, making the sample processing results more in line with actual testing needs and greatly improving the accuracy of experimental results.

[0015] 2. By monitoring temperature and rotation speed in real time during centrifugation and setting up alarm and shutdown mechanisms, this invention avoids sample damage caused by abnormal equipment operation, ensuring sample integrity and usability. On the other hand, it also prevents equipment damage due to abnormal operating conditions, extends the service life of centrifuges and other equipment, reduces equipment maintenance costs and replacement frequency, and improves the stability and sustainability of the overall sample pretreatment work. Attached Figure Description

[0016] Further details, features, and advantages of this application are disclosed in the following description of exemplary embodiments in conjunction with the accompanying drawings, in which: Figure 1 This is a flowchart of the present invention. Detailed Implementation

[0017] Several embodiments of this application will now be described in more detail with reference to the accompanying drawings to enable those skilled in the art to implement this application. This application may be embodied in many different forms and for various purposes and should not be limited to the embodiments set forth herein. These embodiments are provided to make this application thorough and complete, and to fully convey the scope of this application to those skilled in the art. The embodiments described do not limit this application.

[0018] Unless otherwise defined, all terms used herein (including technical and scientific terms) shall have the same meaning as commonly understood by one of ordinary skill in the art to which this application pertains. It will be further understood that terms such as those defined in commonly used dictionaries shall be interpreted as having a meaning consistent with their meaning in the relevant field and / or the context of this specification, and shall not be interpreted in an idealized or overly formal sense unless expressly defined herein.

[0019] Please see Figure 1 As shown, the present invention provides a technical solution: The fully automated sample pretreatment method includes the following steps: Step 1: Sample Processing: Blood from the same source is evenly injected into several test tubes to form a test sample, which includes the following parts: Inside the workbench, fresh blood from the same collection source is mixed together. Using a pipette, an equal amount of blood is precisely measured according to the specifications of the test tubes and evenly injected into several autoclaved test tubes with graduation markings to form a test tube sample.

[0020] After injection, seal the test tube opening with a sealing plug and label each test tube with a number. Step 2: Centrifugation Separation Test: Based on the requirements for blood component separation, determine the centrifugation speed range and centrifugation time range. Within these ranges, select any combination of centrifugation speed and time to serve as the test conditions for each test tube sample. Perform centrifugation separation on each test tube sample. Each test condition includes several test tube samples, forming a test group, and the test conditions for each test group are different. Each test tube sample was centrifuged, and the centrifugation process included: Place the test tube samples into the centrifuge in the set order and start the centrifuge to centrifuge each test tube sample. During the centrifugation process, monitor the temperature and speed in real time. If the temperature or speed deviates from the set standard allowable range, the centrifuge will immediately issue an audible and visual alarm and send the temperature or speed information that deviates from the set standard allowable range to the operator's smart terminal, and immediately stop the operation of the centrifuge. After centrifugation is complete and the centrifuge stops running, remove the test tube samples from the centrifuge. Step 3: Test Result Analysis: Analyze the centrifuged test tube samples to obtain the stratification coefficient and target coefficient. Combine the stratification coefficient and target coefficient to obtain the evaluation index, and determine the optimal centrifugation speed and optimal centrifugation time based on the evaluation index. The centrifuged test tube samples are analyzed to obtain the stratification coefficient. The specific process includes the following parts: Images of test tube samples in each test group after centrifugation were obtained and imported into image analysis software. The plasma layer and the area mixed with red blood cells were distinguished by color recognition and region segmentation functions. The area of ​​the plasma layer and the area mixed with red blood cells were obtained using the image analysis software. The red blood cell contamination ratio is obtained by dividing the area of ​​the red blood cell contamination region by the area of ​​the plasma layer. After obtaining the red blood cell contamination ratio of each test tube sample in each test group, the mean is calculated to obtain the mean red blood cell contamination ratio of each test group under the corresponding test conditions.

[0021] The thickness of the white film layer of the test tube samples in each test group after centrifugation was obtained by flow cytometry; the mean and standard deviation of the white film layer thickness of the test tube samples in each test group were calculated; the standard deviation of the white film layer thickness of the test tube samples in each test group was divided by the mean of the white film layer thickness to obtain the coefficient of variation of the test tube samples in each test group. The red blood cell layer height of the test tube samples in each test group after centrifugation was obtained. The average red blood cell layer height of the test tube samples in each test group was calculated and recorded as the actual red blood cell layer height. The hematocrit of the test tube samples in each test group before centrifugation was obtained using a hematology analyzer, as well as the volume of the test tube samples in each test group. The volume of the test tube samples in each test group was multiplied by their corresponding hematocrit to obtain the hematocrit of the test tube samples in each test group. The average of these values ​​was then calculated to obtain the average hematocrit under the corresponding test conditions for each test group. The average hematocrit was then divided by the bottom area of ​​the test tube samples to obtain the theoretical sedimentation height. The error coefficient is obtained by calculating the difference between the theoretical sedimentation height and the actual red blood cell height, dividing it by the theoretical sedimentation height, and taking the absolute value. The red blood cell pooling mean, coefficient of variation, and error coefficient were denoted as follows: , , ,in Assign test group number, And substitute it into the formula: The stratification coefficients for each test group were obtained. ,in , , These are the maximum red blood cell contamination ratio, the maximum percentage of variation, and the maximum percentage of error, respectively. , , These are the weighting factors corresponding to the mean, coefficient of variation, and error coefficient of the red blood cell pooling ratio of the test tube samples, respectively. The mean red blood cell contamination ratio directly reflects the average number of red blood cells mixed in the plasma. A high mean ratio indicates a large number of red blood cells in the plasma, which can affect the accuracy of plasma-related tests because red blood cells may interfere with some detection reactions or analytical processes targeting plasma components. Conversely, a lower mean ratio means the plasma is relatively purer, which is more conducive to subsequent accurate plasma component analysis. It can also help determine whether the centrifugation process has effectively separated plasma and red blood cells. The mean ratio will vary under different centrifugation conditions. By comparing the mean ratios of red blood cells in different test groups, we can understand which centrifugation conditions can achieve a relatively ideal level of red blood cell contamination in the plasma, providing a basis for determining the optimal centrifugation conditions. The white membrane layer contains components such as leukocytes and platelets, and the stability of its thickness is of great significance for assessing the separation status and quality of blood components. The smaller the coefficient of variation, the more stable the thickness of the white membrane layer is across all samples in the test group, indicating that the centrifugation process has a relatively consistent effect on the white membrane layer, and the separation effect of blood components is reproducible across different samples. Conversely, the larger the coefficient of variation, the greater the difference in the thickness of the white membrane layer among different samples, which may mean that the centrifugation process is not stable enough or that there are some differential factors in the samples themselves that affect the formation and separation effect of the white membrane layer. The error coefficient reflects the degree of difference between the actual red blood cell layer height and the theoretically expected red blood cell layer height. The theoretical sedimentation height is calculated based on hematocrit and sample volume, while the actual red blood cell layer height is measured by measuring the test tube sample after centrifugation. The smaller the error coefficient, the closer the actual red blood cell layer sedimentation is to the theoretical expectation, indicating that the centrifugation process is more accurate and reliable in separating the red blood cell layer. Conversely, a larger error coefficient indicates that the actual red blood cell layer sedimentation deviates significantly from the theoretical value, which may be due to unsuitable centrifugation conditions or abnormal factors in the sample itself affecting the sedimentation of red blood cells. The centrifuged test tube samples are analyzed to obtain the target coefficient. The specific process includes the following parts: A pre-defined chemical substance in the blood was used as the target component. The content of the target component in the test tube samples of each test group was measured before centrifugation and recorded as the target content before centrifugation. The content of the target component in the test tube samples of each test group after centrifugation was obtained and recorded as the target content after centrifugation. The recovery rate of the test tube samples in each test group was obtained by dividing the target concentration after centrifugation by the corresponding target concentration before centrifugation, and then labeled as follows: ; The average recovery rate of the test tube samples within each test group was calculated to obtain the average recovery rate of each test group, and then marked as follows: ;in This refers to the sample number of the test tube within the test group. ; Through the formula: The deviation coefficients of each test group were calculated. ; The impurity content of each test tube sample in each test group after centrifugation is obtained and recorded as the impurity content after centrifugation; the total content of each test tube sample in each test group is obtained by summing the impurity content after centrifugation with the target content after centrifugation. The impurity coefficient of each test tube sample is obtained by dividing the impurity content of the test tube sample after centrifugation in each test group by the corresponding total content. The impurity coefficients of the test tube samples within each test group were averaged to obtain the average impurity coefficient for each test group, and this average was then labeled as follows: ;

[0022] deviation coefficient and the mean of impurity coefficient Substitute into the formula: The target coefficients for each test group were obtained. ,in , , and , respectively, represent the maximum deviation ratio and the maximum impurity ratio. , These are the weighting factors corresponding to the mean values ​​of the deviation coefficient and the impurity coefficient, respectively. The evaluation index is obtained by comprehensively processing the stratification coefficient and the target coefficient, and the optimal centrifugation speed and optimal centrifugation time are determined based on the evaluation index. The specific process includes the following parts: The weighting factors of the stratification coefficient and the target coefficient are preset. The evaluation index is obtained by multiplying the stratification coefficient and the target coefficient with their corresponding weighting factors and summing them. The evaluation index of each test group is obtained from this. The evaluation indices of each test group are arranged from left to right in descending order. After determining the minimum evaluation index, the centrifugation speed and centrifugation time in the test conditions corresponding to the minimum evaluation index are taken as the optimal centrifugation speed and optimal centrifugation time, respectively. Step 4: Sample Processing: Label the samples to be tested, including the patient's name, sample number, collection date and time; centrifuge the samples at the optimal centrifugation speed and time; analyze the blood quality of the centrifuged samples by comparing them with standard patterns; after the samples meet the testing requirements, open the test tubes, transfer them to the rack, and perform the testing operations; refrigerate the remaining samples according to the storage requirements. According to the requirements of sample testing, samples to be tested that need to be refrigerated after centrifugation are refrigerated, specifically including: When the samples to be tested are placed in the refrigeration equipment, the staff must re-verify the labeling information of the samples to be tested and record the storage location and refrigeration time of the samples to be tested in detail in the storage record of the samples to be tested in the refrigeration equipment; the storage record should include the sample number, patient name, refrigeration start time, expected storage time and the specific location of the samples in the refrigeration equipment; A fully automated sample pretreatment system, comprising: Centrifugation Separation Test Module: After setting the test conditions, the test tube samples are centrifuged; specifically, this includes: uniformly injecting blood from the same collection source into several test tubes to form test tube samples; determining the centrifugation speed range and centrifugation time range according to the requirements of blood component separation; sequentially selecting any combination of centrifugation speed and centrifugation time within the centrifugation speed range and centrifugation time range as the test conditions for each test tube sample; and centrifuging each test tube sample. Test Result Analysis Module: Analyzes the centrifuged test tube samples to obtain an evaluation index, and obtains the optimal centrifugation speed and optimal centrifugation time based on the evaluation index; specifically, it includes: analyzing the centrifuged test tube samples to obtain the stratification coefficient and target coefficient, comprehensively processing the stratification coefficient and target coefficient to obtain the evaluation index, and taking the centrifugation speed and centrifugation time in the test conditions corresponding to the minimum evaluation index as the optimal centrifugation speed and optimal centrifugation time, respectively. Sample processing module: Centrifuges samples using optimal centrifugation speed and time, and processes the processed samples accordingly; specifically, it includes: centrifuging samples using optimal centrifugation speed and time, analyzing and judging the blood quality of the centrifuged samples by comparing them with standard patterns, opening test tubes, rotating racks and performing testing operations on samples that meet the testing requirements, and refrigerating the remaining samples according to storage requirements.

[0023] The above formulas are derived from software simulations using a large amount of data and are selected to be close to the actual values. The influence weight factors and specific coefficient values ​​in the formulas are set by those skilled in the art based on the actual situation and can be adjusted and modified in the future.

[0024] The above description of the embodiments enables those skilled in the art to make or use the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A fully automated sample pretreatment method, characterized in that, Includes the following steps: Step 1: Sample processing: Blood from the same source is evenly injected into several test tubes to form a test tube sample; Step 2: Centrifugation Separation Test: Based on the requirements for blood component separation, determine the centrifugation speed range and centrifugation time range. Within these ranges, select any combination of centrifugation speed and time to serve as the test conditions for each test tube sample. Perform centrifugation separation on each test tube sample. Each test condition includes several test tube samples, forming a test group, and the test conditions for each test group are different. Step 3: Test Result Analysis: Analyze the centrifuged test tube samples to obtain the stratification coefficient and target coefficient. Combine the stratification coefficient and target coefficient to obtain the evaluation index, and determine the optimal centrifugation speed and optimal centrifugation time based on the evaluation index. Step 4: Sample Processing: Label the samples to be tested, including the patient's name, sample number, collection date and time; centrifuge the samples at the optimal centrifugation speed and time; analyze the blood quality of the centrifuged samples by comparing them with standard patterns; after the samples meet the testing requirements, open the test tubes, transfer them to the rack, and perform the testing operations, then refrigerate the remaining samples according to the storage requirements.

2. The fully automated sample preprocessing method according to claim 1, characterized in that, Step one specifically includes the following parts: Inside the workbench, fresh blood from the same collection source is mixed together. Using a pipette, an equal amount of blood is precisely measured according to the specifications of the test tubes and evenly injected into several autoclaved test tubes with graduation markings to form a test tube sample. After injection, seal the test tube opening with a sealing plug and label each test tube with a number.

3. The fully automated sample preprocessing method according to claim 1, characterized in that, In step two, each test tube sample is centrifuged, and the centrifugation process includes: Place the test tube samples into the centrifuge in the set order, and start the centrifuge to centrifuge each test tube sample; during the centrifugation process, monitor the temperature and speed in real time; After centrifugation is complete and the centrifuge stops running, remove the test tube samples from the centrifuge.

4. The fully automated sample preprocessing method according to claim 1, characterized in that, The analysis of the centrifuged test tube samples to obtain the stratification coefficient includes the following steps: Images of test tube samples in each test group after centrifugation were obtained and imported into image analysis software. The plasma layer and the area mixed with red blood cells were distinguished by color recognition and region segmentation functions. The area of ​​the plasma layer and the area mixed with red blood cells were obtained using the image analysis software. The red blood cell contamination ratio is obtained by dividing the area of ​​the red blood cell contamination region by the area of ​​the plasma layer. After obtaining the red blood cell contamination ratio of each test tube sample in each test group, the mean is calculated to obtain the mean red blood cell contamination ratio of each test group under the corresponding test conditions. The thickness of the white film layer of the test tube samples in each test group after centrifugation was obtained by flow cytometry; the mean and standard deviation of the white film layer thickness of the test tube samples in each test group were calculated; the standard deviation of the white film layer thickness of the test tube samples in each test group was divided by the mean of the white film layer thickness to obtain the coefficient of variation of the test tube samples in each test group. The red blood cell layer height of the test tube samples in each test group after centrifugation was obtained. The average red blood cell layer height of the test tube samples in each test group was calculated and recorded as the actual red blood cell layer height. The hematocrit of the test tube samples in each test group before centrifugation was obtained using a hematology analyzer, as well as the volume of the test tube samples in each test group. The volume of the test tube samples in each test group was multiplied by their corresponding hematocrit to obtain the hematocrit of the test tube samples in each test group. The average of these values ​​was then calculated to obtain the average hematocrit under the corresponding test conditions for each test group. The average hematocrit was then divided by the bottom area of ​​the test tube samples to obtain the theoretical sedimentation height. The error coefficient is obtained by calculating the difference between the theoretical sedimentation height and the actual red blood cell height, dividing it by the theoretical sedimentation height, and taking the absolute value.

5. The fully automated sample pretreatment method according to claim 4, characterized in that, The red blood cell pooling mean, coefficient of variation, and error coefficient were denoted as follows: , , ,in Assign test group number, And substitute it into the formula: The stratification coefficients for each test group were obtained. ,in , , These are the maximum red blood cell contamination ratio, the maximum percentage of variation, and the maximum percentage of error, respectively. , , These are the weighting factors corresponding to the mean, coefficient of variation, and error coefficient of the red blood cell mixture in the test tube samples, respectively.

6. The fully automated sample preprocessing method according to claim 1, characterized in that, The analysis of the centrifuged test tube samples to obtain the target coefficient includes the following steps: A pre-defined chemical substance in the blood was used as the target component. The content of the target component in the test tube samples of each test group was measured before centrifugation and recorded as the target content before centrifugation. The content of the target component in the test tube samples of each test group after centrifugation was obtained and recorded as the target content after centrifugation. The recovery rate of the test tube samples in each test group was obtained by dividing the target concentration after centrifugation by the corresponding target concentration before centrifugation, and then labeled as follows: ; The average recovery rate of the test tube samples within each test group was calculated to obtain the average recovery rate of each test group, and then marked as follows: ;in This refers to the sample number of the test tube within the test group. ; Through the formula: The deviation coefficients of each test group were calculated. ; The impurity content of each test tube sample in each test group after centrifugation is obtained and recorded as the impurity content after centrifugation; the total content of each test tube sample in each test group is obtained by summing the impurity content after centrifugation with the target content after centrifugation. The impurity coefficient of each test tube sample is obtained by dividing the impurity content of the test tube sample after centrifugation in each test group by the corresponding total content. The impurity coefficients of the test tube samples within each test group were averaged to obtain the average impurity coefficient for each test group, and this average was then labeled as follows: ; deviation coefficient and the mean of impurity coefficient Substitute into the formula: The target coefficients for each test group were obtained. ,in , These are the maximum deviation ratio and the maximum impurity ratio, respectively. , These are the weighting factors corresponding to the mean values ​​of the deviation coefficient and the impurity coefficient, respectively.

7. The fully automated sample preprocessing method according to claim 1, characterized in that, The process of comprehensively processing the stratification coefficient and the target coefficient to obtain the evaluation index, and determining the optimal centrifugation speed and optimal centrifugation time based on the evaluation index, specifically includes the following parts: The weighting factors of the stratification coefficient and the target coefficient are preset. The evaluation index is obtained by multiplying the stratification coefficient and the target coefficient with their corresponding weighting factors and summing them. The evaluation index of each test group is obtained from this. The evaluation indices of each test group are arranged from left to right in descending order. After determining the minimum evaluation index, the centrifugation speed and centrifugation time in the test conditions corresponding to the minimum evaluation index are taken as the optimal centrifugation speed and optimal centrifugation time, respectively.

8. The fully automated sample preprocessing method according to claim 1, characterized in that, In step four, according to the needs of sample testing, the samples to be tested that require refrigeration after centrifugation are refrigerated, specifically including: When the samples to be tested are placed in the refrigeration equipment, the staff must re-verify the labeling information of the samples to be tested and record the storage location and refrigeration time of the samples to be tested in detail in the storage record of the samples to be tested in the refrigeration equipment; the storage record should include the sample number, patient name, refrigeration start time, expected storage time and the specific location of the samples in the refrigeration equipment.

9. A fully automated sample preprocessing system, employing the fully automated sample preprocessing method according to any one of claims 1-8, characterized in that, The processing system includes: Centrifugation Separation Test Module: After setting the test conditions, the test tube samples are centrifuged. Test Result Analysis Module: Analyzes the centrifuged test tube samples to obtain an evaluation index, and obtains the optimal centrifugation speed and optimal centrifugation time based on the evaluation index; Sample processing module: Uses the optimal centrifugation speed and optimal centrifugation time to centrifuge and separate the samples, and performs corresponding processing on the processed samples.

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