CN117589516A - Pipetting method and pipetting system for needle-like channels - Google Patents
Pipetting method and pipetting system for needle-like channels Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 136
- 238000005070 sampling Methods 0.000 claims abstract description 146
- 238000005213 imbibition Methods 0.000 claims abstract description 77
- 239000007788 liquid Substances 0.000 claims abstract description 62
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- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N1/00—Sampling; Preparing specimens for investigation
- G01N1/02—Devices for withdrawing samples
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- G01N1/14—Suction devices, e.g. pumps; Ejector devices
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Abstract
The invention provides a liquid suction method and a liquid suction system of a needle-shaped channel, wherein the liquid suction method comprises the steps of obtaining actual pressure values of a plurality of sampling points in a once complete liquid suction process; acquiring pressure average values of a plurality of sampling points in a recorded historical average value curve, acquiring pressure minimum values of a plurality of sampling points in a recorded historical minimum value curve and pressure maximum values of a plurality of sampling points in a recorded historical maximum value curve, and calculating abnormal criteria of the imbibition process according to actual pressure values, the pressure average values, the pressure minimum values and the pressure maximum values corresponding to all the sampling points; comparing the abnormal criterion with an abnormal threshold value, judging whether the liquid suction process is abnormal or not, if so, sending out warning information, and if not, updating one of the following data of each sampling point: pressure maximum value, pressure minimum value and pressure average value of each sampling point. The invention also provides a liquid suction system for realizing the method. The invention can adaptively detect the change of the environment.
Description
Technical Field
The invention relates to the technical field of medical instruments, in particular to a liquid sucking method for detecting whether a sample sucking needle is blocked or is in suction with a needle-shaped channel under abnormal conditions, and a liquid sucking system for realizing the method.
Background
At present, various liquids are often required to be obtained in the working process of an in-vitro diagnosis device, for example, a sample to be detected or a liquid reagent is obtained, the liquid is usually obtained through a sample sucking needle, and the sample sucking needle is driven by a sample sucking motor to suck the liquid. However, because various components exist in the sample, that is, the concentration of different samples may be different, the sample sucking needle may be blocked in the sample sucking process, so that the situation of inaccurate sample feeding occurs. In addition, because the in-vitro diagnostic device senses the liquid level of the sample to be detected inaccurately, the situation that the sample sucking needle does not suck liquid, but sucks air sometimes occurs, so that the sample adding inaccuracy occurs. Therefore, the state of the sample sucking needle needs to be monitored in real time, and once abnormal conditions such as blockage or suction void of the sample sucking needle are found, warning information needs to be sent out immediately so as to avoid detection errors caused by inaccurate sample sucking.
The existing method for detecting the state of the sample suction needle is to perform sample suction operation on standard liquid for a plurality of times through sample suction, collect a waveform chart output by a sensor in the sample suction process, segment a wave crest, a wave trough, a flat wave and a stable section in one period of the waveform, and take the maximum detection value average value of the wave crest sections of a plurality of waveforms as the characteristic parameter of the wave crest section. And when the state detection and judgment of the sample sucking needle are carried out later, judging according to the characteristic parameters of the pressure curve of one section or a plurality of sections. However, in this detection method, a missing detection is easy to occur, for example, in the case that the sample suction needle is blocked in a clearance manner, a plurality of different wave peaks exist in the liquid suction process, and the extracted characteristic parameters deviate from the actual conditions, so that the missing detection is caused. In addition, the average value of the maximum value or the minimum value is used as a characteristic value, the characteristic value is used as a reference value for comparison, and the maximum value and the minimum value which appear in the sample suction process are discarded in the process of taking the average value of the method, so that erroneous judgment is easy to cause.
In addition, the method has poor environmental adaptability, the pressure characteristic value needs to be acquired again under the condition of changing the test environment, and the sensitivity of the detection equipment also needs to be reset, namely the detection method has no automatic calibration function and can not automatically calibrate parameters according to the change of the environment. Thus, it is necessary for a detector to subjectively observe experimental data and to make a judgment based on the observed experimental data by man, and thereby set the sensitivity of the detection apparatus. This not only results in inaccurate sensitivity, but also takes much time for the inspector, resulting in a decrease in inspection efficiency.
Disclosure of Invention
It is a first object of the present invention to provide a method of pipetting needle channels that is capable of adapting to environmental changes.
A second object of the present invention is to provide a needle channel pipetting system which implements the pipetting method for needle channels as described above.
In order to achieve the first object of the present invention, the liquid suction method for a needle-like channel provided by the present invention includes obtaining actual pressure values of a plurality of sampling points in a complete liquid suction process; acquiring pressure average values of a plurality of sampling points in a recorded historical average value curve, acquiring pressure minimum values of a plurality of sampling points in a recorded historical minimum value curve and pressure maximum values of a plurality of sampling points in a recorded historical maximum value curve, and calculating abnormal criteria of the imbibition process according to actual pressure values, the pressure average values, the pressure minimum values and the pressure maximum values corresponding to all the sampling points; comparing the abnormal criterion with an abnormal threshold value, judging whether the liquid suction process is abnormal or not, if so, sending out warning information, and if not, updating one of the following data of each sampling point: pressure maximum value, pressure minimum value and pressure average value of each sampling point.
The above scheme can be seen that after the current imbibition process is detected and judged, if it is confirmed that no abnormality exists in the current imbibition process, that is, no empty or clot phenomenon occurs, the recorded parameters are updated by using the parameters in the current imbibition process, for example, the maximum pressure value, minimum pressure value, average pressure value and the like of each sampling point are updated. In this way, once the detected environment changes, the parameters of the normal imbibition process can be used for updating the imbibition parameters as long as the imbibition process is not abnormal, so that the updated parameters are used for updating the abnormal threshold value, the updated parameters and the updated abnormal threshold value are used as the comparison basis for subsequent judgment, and the self-adaptive updating of the detected parameters is realized.
The liquid absorption method has strong self-adaptation capability to the environment, can reduce the influence of environmental factors on the accuracy of detection results, and improves the accuracy of detecting abnormal states of the needle-shaped channels. In addition, because the detection parameters are self-adaptively adjusted after the environment changes, the workload of detection personnel is reduced, the detection efficiency is improved, and the occurrence of inaccurate detection caused by subjective judgment of the detection personnel can be avoided.
Preferably, updating the pressure maxima at the sampling points includes: if the actual pressure value of the secondary imbibition process is larger than the recorded pressure maximum value, the actual pressure value is used as a new pressure maximum value; updating the pressure minima at the sampling point includes: if the actual pressure value of the secondary imbibition process is smaller than the recorded pressure minimum value, the actual pressure value is used as a new pressure minimum value; updating the pressure average of the sampling points includes: if the actual pressure value of the secondary imbibition process is not larger than the recorded pressure maximum value or not smaller than the recorded pressure minimum value, the actual pressure value of the secondary imbibition process and the recorded pressure average value are subjected to weighted calculation to obtain a new pressure average value.
It can be seen that the actual pressure value is used to replace the recorded pressure maximum value or pressure minimum value of the sampling point, so that the recorded pressure maximum value and pressure minimum value are updated rapidly. And for updating the pressure mean value, a weighted mode is used for calculation, so that the updated pressure mean value considers the data of each liquid suction process recorded before, also considers the actual pressure value of the liquid suction process, and calculates the accurate pressure mean value by integrating the pressure values of multiple liquid suction operations, thereby being beneficial to subsequent abnormality detection and judgment.
The further scheme is that the weighting calculation of the actual pressure value of the imbibition process and the recorded pressure average value to obtain a new pressure average value comprises the following steps: the new pressure mean is calculated using the following equation：P n ′ ＝(P n ×A+P new ) /(a+1); wherein P is n ′ For the new pressure mean value of the sampling point, P n For the recorded pressure mean value, P new For the actual pressure value, A is a preset weight.
It can be seen that the updated pressure average value fully considers the pressure value of the previous multiple imbibitions and the actual pressure value of the current imbibition process to calculate, and by setting a suitable weight a, for example, the weight a is set to the recorded imbibition frequency, the updated pressure average value is the average value of the recorded imbibition frequency and the actual pressure value of the current imbibition, and the updated pressure average value can fully reflect the situation of each imbibition process.
If no abnormality exists in the imbibition process, updating the pressure average value of each sampling point, and updating an abnormal threshold value based on the updated pressure average value of each sampling point.
Therefore, when the subsequent imbibition process is detected and judged, the updated abnormal threshold value is used for judging, and the abnormal criterion of the subsequent imbibition process is obtained based on the updated parameter calculation, so that the subsequent detection and judgment on whether the imbibition process has abnormal conditions or not is more accurate, the influence caused by environmental change can be adapted, and the condition of inaccurate detection caused by the environmental change is avoided.
The abnormal threshold comprises a suction threshold, and the suction threshold is calculated by dividing the sum of differences between the pressure average value of each sampling point and the starting point pressure value of the pressure average value curve in the recorded pressure average value curve by a preset suction induction coefficient.
In a further scheme, the abnormal criteria include a suction criterion, and the suction criterion is calculated as follows: and determining a first target sampling point with the actual pressure value larger than the pressure maximum value, and calculating the sum of the differences of the actual pressure values of all the first target sampling points and the pressure average value corresponding to the first target sampling point.
Further, the step of judging whether the imbibition process is abnormal comprises the following steps: if the suction criterion of the secondary liquid suction process is larger than the suction threshold value, determining that the suction abnormality exists in the secondary liquid suction process.
According to the scheme, the suction criterion and the suction threshold value are calculated by applying the updated parameters, and the suction criterion and the suction threshold value corresponding to the current suction process are compared, so that whether the suction condition exists in the current suction process can be accurately determined.
Further, the abnormal threshold comprises a clot threshold, and the clot threshold is calculated by dividing the sum of differences between the pressure average value of each sampling point and the minimum value of the pressure average value curve in the recorded pressure average value curve by a preset clot induction coefficient.
Still further, the abnormality criteria include a clot criterion, which is calculated as follows: and determining a second target sampling point with the actual pressure value smaller than the pressure minimum value, and calculating the sum of the differences between the corresponding pressure average values of all the second target sampling points and the actual pressure value of the second target sampling point.
Further, the step of judging whether the imbibition process is abnormal comprises the following steps: and when the suction abnormality does not exist in the secondary imbibition process, if the clot criterion of the secondary imbibition process is larger than the clot threshold value, determining that the clot abnormality exists in the secondary imbibition process.
Therefore, for the phenomenon that whether the current imbibition process has clotting exists, updated parameters are used for calculating clotting criteria and clotting thresholds, and under the condition that the environment changes, the updated parameters can reflect the change condition of the environment, so that the detection and judgment of clotting abnormality are more accurate.
In a further scheme, the standard detection liquid is sampled for a plurality of times in advance, the pressure value of the needle channel in each sampling process is recorded, and an initial pressure average value curve, a pressure minimum value curve and a pressure maximum value curve are obtained through calculation.
Therefore, before the first liquid suction is performed, the standard detection liquid is sampled for a plurality of times in advance to obtain an initial pressure average value curve, a pressure minimum value curve and a pressure maximum value curve, namely, initial parameters are obtained, so that the first liquid suction can be ensured, and whether the abnormal condition of suction or clotting occurs can be accurately judged.
In order to achieve the second object, the needle channel pipetting system provided by the invention comprises a main control module, wherein the main control module controls a pipetting motor to aspirate a sample by a pipetting needle, and the main control module also obtains data of a pressure sensor, and the pressure sensor is used for detecting the pressure value of the needle channel; the main control module executes each step of the liquid suction method of the needle-shaped channel.
Drawings
Fig. 1 is a block diagram of an embodiment of a pipetting system of needle channels according to the invention.
Fig. 2 is a flow chart of an embodiment of a pipetting method for needle channels of the invention.
FIG. 3 is a flow chart of pre-recording initial test data in an embodiment of a pipetting method for needle channels according to the invention.
FIG. 4 is a flow chart of a method of pipetting needle channels according to an embodiment of the invention for detecting a pipetting process.
Fig. 5 is a flow chart of the calculation of the suction criterion in an embodiment of the suction method of the needle channel of the present invention.
Fig. 6 is a flow chart of the calculation of the gel criterion in an embodiment of the pipetting method for needle channels according to the invention.
Fig. 7 is a flow chart of data update in an embodiment of the pipetting method of needle channels of the invention.
FIG. 8 is a graph of pipetting pressure for an embodiment of the pipetting method of needle channels of the invention.
FIG. 9 is an enlarged partial view of the pipetting pressure curve of an embodiment of the pipetting method of needle channels of the invention.
The invention is further described below with reference to the drawings and examples.
Detailed Description
The liquid suction method of the needle-shaped channel is used for detecting the states of the needle-shaped channel such as a sample suction needle, detecting the pressure value of the needle-shaped channel by using a pressure sensor, judging whether a clot appears in the needle-shaped channel according to the detected pressure value, and judging whether the sample suction needle sucks air when the operation of sucking liquid for the time, namely, sucking air without sucking liquid. In addition, the invention also utilizes the parameters of each normal detection process to dynamically update the recorded parameters, when the environment changes, the liquid suction system of the needle-shaped channel can dynamically update the abnormal threshold value according to the environment changes, and the calculation of the abnormal criterion is also based on the updated parameters, so that the abnormal criterion and the abnormal threshold value can be updated in real time according to the environment changes, thereby improving the detection accuracy.
Needle channel pipetting system embodiment:
the pipetting system of the needle-shaped channel of this embodiment is applied to an in vitro immunodiagnosis device, referring to fig. 1, the pipetting system of the needle-shaped channel has a main control module 10, the main control module 10 can send a control signal to a pipetting motor 11, and the pipetting motor 11 controls a pipetting needle 12 to aspirate a sample to be measured. The pipetting system of the needle channel is further provided with a pressure sensor 13 for detecting the pressure value of the needle channel, for example, the pressure value in the pipetting cavity of the pipetting needle 12, and transmitting the data of the detected pressure value to the main control module 10.
The needle channel liquid suction system is also provided with a memory 15, the memory 15 is electrically connected with the main control module 10, and the main control module 10 can write data into the memory 15 and can read data from the memory 15. For example, the memory 15 stores preset pressure data, including a plurality of pressure value curves, such as a pressure average curve, a pressure minimum curve, and a pressure maximum curve, formed by sampling the standard liquid multiple times.
The main control module 10 generates abnormal thresholds including a suction threshold and a clot threshold according to the recorded values of the pressure average curve, the pressure minimum curve and the pressure maximum curve. When a complete imbibition operation is carried out, the pressure sensor 13 acquires the pressure value of the sample suction needle 12 in real time, so that data of the real-time pressure value are obtained, abnormal criteria including an imbibition criterion and a clot criterion are obtained according to data calculation of the real-time pressure value, and whether the imbibition process has the phenomenon of imbibition or clot is judged by comparing the abnormal criteria with the abnormal threshold.
Needle channel pipetting method example:
the specific procedure of the pipetting method for needle channels is described below in connection with fig. 2 to 9. Referring to fig. 2, the embodiment mainly includes three steps, firstly, step S1 is executed, initial pressure data is preset, and the pressure value data of multiple samples are processed by sampling the standard liquid multiple times to form an initial pressure average value curve, a pressure minimum value curve and a pressure maximum value curve.
And then, executing step S2, sampling the once complete imbibition process according to a certain time interval, obtaining a set of actual pressure value data of the once imbibition process, and calculating abnormal criteria including a clot criterion and a suction criterion according to the obtained pressure value data. Judging whether the abnormal conditions such as clotting or suction and the like occur in the liquid suction process according to the clotting criterion and the suction criterion.
And finally, if no abnormal condition exists in the imbibition process, executing step S3, updating the pressure value data by utilizing the data of the imbibition process, and calculating the abnormal threshold value and the abnormal criterion of the subsequent imbibition operation according to the updated pressure data when the abnormality of the subsequent imbibition operation is judged.
The three steps described above will be described in detail below. Referring to fig. 3, when initial pressure data is preset, the pressure maximum value, the pressure minimum value and the pressure average value in the sample suction needle in the complete liquid suction process are obtained by performing multiple tests on standard detection liquid, and three groups of data are used as reference storage record data.
In sampling standard detection liquid, the pressure in the sample sucking needle catheter is detected to obtain the pressure value of the complete sucking process. Firstly, a step S11 is executed, a liquid suction motor is started, and liquid suction is started to be carried out on standard liquid, then, a step S12 is executed, a pressure value in a sample suction needle catheter is obtained through a pressure sensor, and the obtained pressure value is recorded in a buffer memory unit of a circuit board. Then, step S13 is executed to determine whether the pipetting process is finished, and if the one-time complete pipetting process is not finished, step S12 is continuously executed to continuously record the pressure value of the pipetting process. If the complete imbibition process is finished, step S14 is executed to determine whether the preset imbibition frequency is reached, if the preset imbibition frequency is not reached, the complete imbibition process is executed again, and the pressure value of the imbibition process is recorded again completely until the imbibition frequency reaches the preset frequency.
The multiple pipetting operations are carried out under identical conditions and for the same standard liquids. After the standard liquid is subjected to the imbibition operation for multiple times, the step S15 is executed, the pressure average value, the pressure maximum value and the pressure minimum value obtained by the imbibition operation for multiple times are calculated, a pressure average value curve, a pressure minimum value curve and a pressure maximum value curve are formed, and the pressure maximum value and the pressure minimum value of the imbibition operation for multiple times can be counted.
For example, the preset number of imbibitions is 10, each imbibition process lasts for 1 second, the pressure sensor samples every 10ms, and 100 data can be recorded for each complete imbibition process, namely, 100 sampling points are obtained for each complete imbibition process. For a sample point of t=0 ms, 1 data will be generated per pipetting process, 10 data will be generated for 10 pipetting processes, similarly 10 pressure values will be generated for a sample point of t=10 ms, and so on, 10 pressure values will be generated for each sample point. For 10 pressure values of each sampling point, the maximum value is defined as the pressure maximum value of the sampling point, the minimum value is defined as the pressure minimum value of the sampling point, and the pressure average value of the sampling point can be calculated. Thus, the pressure average value of 100 sampling points is connected into a curve, so that a pressure average value curve can be obtained, and correspondingly, a pressure maximum value curve and a pressure minimum value curve can also be obtained.
And for 1000 pressure values generated by 10 pipetting processes, the maximum value is defined as the pressure maximum value and the minimum value is defined as the pressure minimum value. Therefore, in this embodiment, the maximum pressure, the minimum pressure, and the average pressure are local concepts for a certain sampling point, and the maximum pressure and the minimum pressure are global concepts for all sampling points.
After the pressure average curve, the pressure maximum curve, and the pressure minimum curve are obtained, step S16 is executed to store the obtained data. When data are stored, not only pressure average values, pressure maximum values and pressure minimum values of all sampling points are stored, but also liquid suction conditions including liquid suction amount, liquid type and liquid suction speed are required to be recorded. Of course, the device also comprises a pressure maximum value, a pressure minimum value and the like of repeated imbibition, so that the sampling standard characteristic value is ensured to be more comprehensive and accurate, and the missing detection and the erroneous judgment are avoided.
After the initial pressure data, whether the clot or the suction void exists in the subsequent working process of the sample suction needle or not can be detected based on the initial pressure data. Specifically, referring to fig. 4, in a specific pipetting process, step S21 is first performed, the suction needle starts pipetting, step S22 is performed, a pressure value in the suction needle catheter is obtained by the pressure sensor, and the obtained pressure value is recorded in the buffer memory unit of the circuit board. Then, the main control unit executes step S23 to determine whether the secondary imbibition process is finished, if not, then continues to execute step S22 to record the pressure value in the imbibition process until imbibition is finished.
If the imbibition process is already calculated, a step S24 is executed, the actual pressure values of all sampling points in the whole imbibition process are recorded, a step S25 is executed, and an abnormal criterion and an abnormal threshold value of the imbibition process are calculated. In this embodiment, the calculated abnormality criteria include a suction criterion and a clot criterion, and the calculated abnormality threshold includes a suction threshold and a clot threshold.
Specifically, the clot threshold Va is calculated based on a recorded pressure mean curve. The clot threshold Va is calculated by dividing the sum of the differences between the pressure mean value of each sampling point and the minimum value of the pressure mean value curve by the preset clot-inducing coefficient in the recorded pressure mean value curve. The clot threshold Va can be calculated using the following equation:
wherein P is min Is the minimum pressure value of the pressure average curve, P n Is the pressure value of a certain sampling point in the pressure average curve, N is one sampling point in the pressure average curve, N max The last sampling point of the pressure mean value curve is K1, the preset clot induction coefficient is K1, and the value of K1 can be adjusted according to actual conditions.
The suction threshold value Vb is also obtained by calculating a pressure average value curve based on recorded data, and the suction threshold value Vb is obtained by dividing the sum of differences between the pressure average value of each sampling point and the starting point pressure value of the pressure average value curve by a preset suction induction coefficient in the recorded pressure average value curve. The suction threshold Vb can be calculated using the following equation:
wherein P is 0 Is the pressure value of the starting point in the pressure average curve, namely the pressure value of the first sampling point, P n Is the pressure value of a certain sampling point in the pressure average curve, N is one sampling point in the pressure average curve, N max The last sampling point of the pressure average value curve is K2 which is a preset suction induction coefficient, and the value of K2 can be adjusted according to actual conditions.
Preferably, the suction air induction coefficient K1 and the clot induction coefficient K2 are only set once before the first liquid suction is started, and are not set in the subsequent liquid suction process, so that the cost of manual maintenance is reduced. The values of the response rate of the suction induction coefficient K1 and the clot induction coefficient K2 are equal to 1, which represents that the rate is normal, less than 1 represents that the rate is slow, and more than 1 represents that the response is rapid.
Referring to fig. 8, the pressure average curve 50 has different pressure values at different moments, wherein the horizontal axis is the sampling moment, the vertical axis is the pressure value, and as can be seen from the pressure average curve 50, the initial point 51 is the sampling point corresponding to the maximum pressure value, the sampling point with the minimum pressure value is 52, and the end sampling point is 53. The pressure maxima curve and pressure minima curve are similar to the pressure averages curve 50.
For the first pipetting operation, the recorded data are all initial pressure data, after the subsequent pipetting operation, when it is determined that no abnormality has occurred in the pipetting operation, the data of the pipetting operation are recorded in the memory 15 and the recorded pressure data are updated, so that after each normal pipetting operation, the recorded pressure data are dynamically updated, and accordingly, the calculated abnormality threshold value of each pipetting operation, including the clot threshold value Va and the empty threshold value Vb, is generally different from the abnormality threshold value calculated last time.
For the current imbibition operation, the imbibition criterion is calculated by adopting the following mode: and determining a first target sampling point with the actual pressure value larger than the pressure maximum value, and calculating the sum of the differences of the actual pressure values of all the first target sampling points and the pressure average value corresponding to the first target sampling point. Specifically, referring to fig. 5, first, step S31 is performed to set the initial value of the suction criterion Re1, and in this embodiment, the initial value of the suction criterion Re1 is set to zero. Then, step S32 is performed to acquire an actual pressure value at one sampling point of the current pipetting operation. Preferably, the actual pressure values of the sampling points are obtained according to the sequence of the sampling time.
The actual pressure values of the plurality of sampling points of the secondary liquid absorption are respectively P0-PN, the pressure average value of each sampling point is respectively A0-AN, the pressure maximum value of each sampling point is respectively M0-MN, the pressure minimum value of each sampling point is respectively S0-SN, and the total of n+1 sampling points is assumed, wherein N is one sampling point.
After step S32 is performed, step S33 is performed to determine whether the actual pressure value Pn of the sampling point n is greater than the recorded pressure maximum value Mn of the sampling point, if so, the sampling point n is determined as a first target sampling point, step S34 is performed to calculate a difference between the actual pressure value Pn of the first target sampling point and the pressure average value An corresponding to the first target sampling point, and the difference is accumulated, and the difference is expressed as Re1 = Re1+ (Pn-An) using the equation, that is, step S35 is performed. It can be seen that the above calculation is to add the difference between the actual pressure value Pn and the pressure mean value An of the first target sampling point to the calculated suction criterion Re 1.
If the result of the determination in step S33 is no, step S36 is executed to determine whether the current sampling point is the last sampling point of the pipetting operation. After step S35 is executed, step S36 is also executed. If the judgment result of the step S36 is yes, the air suction criterion Re1 is calculated, the step S38 is executed, and the final calculation result of the air suction criterion Re1 is output. If the judgment result in the step S36 is no, the step S37 is executed to acquire the next sampling point, and the step S32 is executed again to acquire a new actual pressure value of the sampling point.
It can be seen that, in this embodiment, the difference between the actual pressure values of all the first target sampling points and the pressure average value corresponding to the first target sampling points is accumulated, and the accumulated result is used as the calculation result of the suction criterion Re 1.
For the current pipetting operation, the clot criteria is calculated in the following way: and determining a second target sampling point with the actual pressure value smaller than the pressure minimum value, and calculating the sum of the differences between the corresponding pressure average values of all the second target sampling points and the actual pressure value of the second target sampling point. Specifically, referring to fig. 6, first, step S41 is performed to set the initial value of the clot criterion Re2, and in this embodiment, the initial value of the clot criterion Re2 is set to zero. Then, step S42 is performed to acquire an actual pressure value at one sampling point of the current pipetting operation. Preferably, the actual pressure values of the sampling points are obtained according to the sequence of the sampling time.
Then, step S43 is performed to determine whether the actual pressure value Pn of the sampling point n is smaller than the recorded pressure maximum value Sn of the sampling point, and if so, the sampling point n is determined as a second target sampling point, step S44 is performed to calculate a difference between the pressure average value An corresponding to the second target sampling point and the actual pressure value Pn of the second target sampling point, and the difference is accumulated, expressed as Re2 = Re2+ (An-Pn) using An equation, that is, step S45 is performed. It can be seen that the above calculation is to sum the difference between the corresponding pressure mean An and the actual pressure value Pn of the second target sampling point to the already calculated clot criterion Re 2.
If the result of the determination in step S43 is no, step S46 is executed to determine whether the current sampling point is the last sampling point of the pipetting operation. After step S45 is executed, step S46 is also executed. If the judgment result of the step S46 is yes, the clot criterion Re2 is calculated, the step S48 is executed, and the final calculation result of the clot criterion Re2 is output. If the result of the determination in step S46 is no, step S47 is executed to acquire the next sampling point, and step S42 is executed back to acquire a new actual pressure value of the sampling point.
It can be seen that, in this embodiment, the difference between the average pressure value corresponding to all the second target sampling points and the actual pressure value of the second target sampling points is accumulated, and the accumulated result is used as the calculation result of the clot criterion Re 2.
Referring back to fig. 4, after the suction threshold Vb, the clot threshold Va, the suction criterion Re1, and the clot criterion Re2 are calculated, it is determined whether or not there is an abnormality in the suction operation. Specifically, step S26 is executed, where it is first determined whether the suction criterion Re1 is greater than the suction threshold Vb, if so, it indicates that there is a suction abnormality in the suction operation, and step S27 is executed to issue a suction warning message. If the suction criterion Re1 is not greater than the suction threshold Vb, step S28 is performed to further determine whether the clot criterion Re2 is greater than the clot threshold Va, and if so, step S29 is performed to issue a clot warning, indicating that a clot abnormality has occurred in the pipetting operation. If neither a suction abnormality nor a clot abnormality has occurred in the secondary pipetting operation, step S30 is performed to determine that the secondary pipetting operation is normal, and the recorded pressure value data is updated according to the actual pressure value of the secondary pipetting operation.
Referring to fig. 9, it is assumed that a certain segment of the actual pressure value curve 61 is lower than the pressure mean curve 60, the region 65 constitutes a region of the clot criteria, and conversely, if a certain segment of the actual pressure value curve 62 is greater than the pressure mean curve 60, the region 66 constitutes a region of the suction criteria.
When updating the pressure value data, comparing the pressure value of the liquid suction process with the pressure maximum value and the pressure minimum value corresponding to each sampling point of the pressure value of the whole process recorded before, if the pressure value of a certain sampling point exceeds the recorded pressure maximum value or pressure minimum value, updating the pressure maximum value and the pressure minimum value, and if the pressure value of a certain sampling point is not larger than the recorded pressure maximum value or not smaller than the recorded pressure minimum value, weighting and calculating the pressure average value of the sampling point.
Specifically, referring to fig. 7, step S51 is first performed to obtain an actual pressure value of a sampling point of the imbibing process. Preferably, the judgment and calculation are sequentially performed on each sampling point according to the time sequence of each sampling point. Then, step S52 is executed to determine whether the actual pressure value of the sampling point is greater than the recorded pressure maximum value of the sampling point, if so, step S53 is executed to update the pressure maximum value of the sampling point, and specifically, replace the recorded pressure maximum value with the actual pressure value of the sampling point.
If the determination result in step S52 is no, step S54 is executed to determine whether the actual pressure value of the sampling point is smaller than the pressure minimum value recorded by the sampling point, if yes, step S55 is executed to update the pressure minimum value of the sampling point, and specifically, the actual pressure value of the sampling point is substituted for the recorded pressure minimum value.
If the determination result in step S54 is no, which indicates that the actual pressure value of the sampling point is neither greater than the recorded maximum pressure value nor less than the recorded minimum pressure value, step S56 is executed to calculate a new pressure average value in a weighted manner. Specifically, the pressure average value recorded by the sampling point and the actual pressure value of the sampling point in the imbibition process are weighted, for example, the following equation is adopted for calculation:
P n ′ ＝(P n ×A+P new ) /(A+1) (3)
Wherein P is n Is the pressure average value, P, in the recorded pressure average value curve new Is the actual pressure value of the sampling point in the imbibition process, P n ′ The new pressure average value obtained after the weighted calculation of the sampling point, namely the updated pressure average value, and A is a preset weight. Preferably, the weight A may be in the form of a needleFurther, the weight a is equal to the number of pipetting operations that have been previously recorded.
After the pressure value data is updated, when the next imbibition operation is performed, the clot threshold and the empty threshold are calculated by using the updated parameters, that is, the abnormal threshold is dynamically updated according to the updated pressure value, so that the stored pressure value curve is updated synchronously with the environmental change. Therefore, the embodiment enables the judgment of the needle-shaped channel state to adapt to the gradual change of the environment, has the automatic adjustment capability, and is more stable, accurate and reliable in detection and judgment results of the needle-shaped channel state.
Therefore, the liquid absorption method of the needle-shaped channel has the function of self-updating the abnormal threshold, namely, the recorded data not only comprises the reference data acquired by the standard liquid through repeated test, but also comprises the normal data in actual detection, and the abnormal threshold is updated and iterated, so that the method can be quickly adapted to a new environment even if the test environment changes, and has high working stability and low manual maintenance cost.
Finally, it should be emphasized that the invention is not limited to the above embodiments, for example, changes in the specific calculation method of the clot threshold and the suction threshold, or changes in the specific calculation method of the pressure mean update, etc., which are also intended to be included in the scope of the claims of the invention.
Claims (12)
1. A method of pipetting needle channels comprising:
acquiring actual pressure values of a plurality of sampling points in a once complete imbibition process;
the method is characterized in that:
acquiring pressure average values of a plurality of sampling points in a recorded historical average value curve, acquiring pressure minimum values of a plurality of sampling points in a recorded historical minimum value curve and pressure maximum values of a plurality of sampling points in a recorded historical maximum value curve, and calculating an abnormal criterion of the imbibition process according to the actual pressure values, the pressure average values, the pressure minimum values and the pressure maximum values corresponding to all the sampling points;
comparing the abnormal criterion with an abnormal threshold value, judging whether the liquid suction process is abnormal or not, if so, sending out warning information, and if not, updating one of the following data of each sampling point: pressure maximum value, pressure minimum value and pressure average value of each sampling point.
2. The needle channel pipetting method as recited in claim 1 wherein:
updating the pressure maxima of the sampling points includes: if the actual pressure value of the secondary imbibition process is larger than the recorded pressure maximum value, the actual pressure value is used as a new pressure maximum value;
updating the pressure minima of the sampling point includes: if the actual pressure value of the secondary imbibition process is smaller than the recorded pressure minimum value, using the actual pressure value as a new pressure minimum value;
updating the pressure average of the sampling points comprises: if the actual pressure value of the secondary imbibition process is not larger than the recorded pressure maximum value or not smaller than the recorded pressure minimum value, the actual pressure value of the secondary imbibition process and the recorded pressure average value are subjected to weighted calculation to obtain a new pressure average value.
3. A needle channel pipetting method as recited in claim 2 wherein:
the step of carrying out weighted calculation on the actual pressure value of the secondary imbibition process and the recorded pressure average value to obtain a new pressure average value comprises the following steps:
the new pressure mean is calculated using the following equation: p (P) n ′ ＝(P n ×A+P new )/(A+1)；
Wherein P is n ′ For the new pressure mean value of the sampling point, P n For the recorded pressure mean value, P new For the actual pressure value, A is a preset weight.
4. A needle channel pipetting method as recited in any one of claims 1 to 3 wherein:
if no abnormality exists in the imbibition process, updating the pressure average value of each sampling point, and updating the abnormality threshold value based on the updated pressure average value of each sampling point.
5. A needle channel pipetting method as recited in any one of claims 1 to 3 wherein:
the abnormal threshold comprises a suction threshold, and the suction threshold is obtained by dividing the sum of differences between the pressure average value of each sampling point and the starting point pressure value of the pressure average value curve in the recorded pressure average value curve by a preset suction induction coefficient.
6. The needle channel pipetting method as recited in claim 5 wherein:
the abnormal criteria comprise a suction criterion, and the suction criterion is calculated as follows: and determining a first target sampling point with the actual pressure value larger than the pressure maximum value, and calculating the sum of the differences of the actual pressure values of all the first target sampling points and the pressure average value corresponding to the first target sampling point.
7. The needle channel pipetting method as recited in claim 6 wherein:
judging whether the imbibition process has abnormality or not comprises the following steps: and if the suction criterion of the secondary liquid suction process is larger than the suction threshold value, determining that the suction abnormality exists in the secondary liquid suction process.
8. A needle channel pipetting method as recited in any one of claims 1 to 3 wherein:
the abnormal threshold comprises a clot threshold, and the clot threshold is calculated by dividing the sum of differences between the pressure average value of each sampling point and the minimum value of the pressure average value curve in the recorded pressure average value curve by a preset clot induction coefficient.
9. The needle channel pipetting method as recited in claim 8 wherein:
the abnormality criteria include a clot criterion calculated as follows: and determining a second target sampling point with the actual pressure value smaller than the pressure minimum value, and calculating the sum of the differences between the corresponding pressure average values of all the second target sampling points and the actual pressure value of the second target sampling points.
10. The needle channel pipetting method as recited in claim 9 wherein:
judging whether the imbibition process has abnormality or not comprises the following steps: and when the suction abnormality does not exist in the secondary imbibition process, if the clot criterion of the secondary imbibition process is larger than the clot threshold value, determining that the clot abnormality exists in the secondary imbibition process.
11. A needle channel pipetting method as recited in any one of claims 1 to 3 wherein:
and sampling the standard detection liquid for a plurality of times in advance, recording the pressure value of the needle channel in each sampling process, and calculating to obtain an initial pressure average value curve, a pressure minimum value curve and a pressure maximum value curve.
12. A needle channel pipetting system comprising:
the main control module controls the liquid suction motor to suck a sample by the liquid suction needle, and also acquires data of a pressure sensor, wherein the pressure sensor is used for detecting a pressure value of the needle-shaped channel;
the method is characterized in that:
the main control module performs the respective steps of the pipetting method for needle channels according to any one of claims 1 to 11.
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