CN111896759B - Method, device and storage medium for eliminating influence of sample injection process - Google Patents
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N35/00—Automatic analysis not limited to methods or materials provided for in any single one of groups G01N1/00 - G01N33/00; Handling materials therefor
- G01N35/00584—Control arrangements for automatic analysers
- G01N35/00594—Quality control, including calibration or testing of components of the analyser
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N35/00—Automatic analysis not limited to methods or materials provided for in any single one of groups G01N1/00 - G01N33/00; Handling materials therefor
- G01N35/10—Devices for transferring samples or any liquids to, in, or from, the analysis apparatus, e.g. suction devices, injection devices
- G01N35/1009—Characterised by arrangements for controlling the aspiration or dispense of liquids
Abstract
The invention discloses a method, a device and a storage medium for eliminating the influence of a sample injection process, belongs to the technical field of sample injection of biosensors, and solves the problem of lower accuracy in the existing technique for eliminating the influence of the sample injection process. A method for eliminating influence of a sample injection process comprises the following steps: sample adding is carried out on the sample to be detected, current signals corresponding to the sample to be detected are detected at intervals of set time, and a preset number of current values are obtained; obtaining maximum current values from the preset number of current values, judging whether sample adding fails according to sampling time corresponding to the maximum current values, judging whether a sample adding mode is secondary or multiple sample adding according to the fitting goodness of the preset number of current values if not, and if not, carrying out normal current signal detection and outputting a current signal detection result. The method for eliminating the influence of the sample injection process improves the accuracy of eliminating the influence of the sample injection process.
Description
Technical Field
The invention relates to the technical field of biosensor sample injection, in particular to a method, a device and a storage medium for eliminating influence of a sample injection process.
Background
A biosensor is an instrument for detecting target substances by utilizing bioactive substances to selectively identify the target substances and converting the concentration or the content of the target substances into electric signals, and is an analysis tool or a system which is formed by taking immobilized bioactive materials (including bioactive substances such as enzymes, antibodies, antigens, microorganisms, cells, tissues, nucleic acids and the like) as identification elements, proper physicochemical transducers (such as oxygen electrodes, photosensitive tubes, field effect tubes, piezoelectric crystals and the like) and signal amplifying devices, and aims to convert the properties of the types, the concentrations and the like of the analytes into quantitative data which are easily accepted by people through a series of reactions, so that the analysis is convenient. Biosensors have been widely used in the field of in vitro diagnosis, and these detection systems can detect physiological substances in body fluid, so that doctors can conveniently analyze and diagnose the condition of patients, and some instrument systems are used in home, so that patients can conveniently monitor themselves, and these physiological indexes include blood sugar, uric acid, triglyceride, cholesterol, etc., and at present, biosensors have been widely used in clinical detection, and among these, the most popular examples are portable blood sugar detection systems;
for biosensors, especially for portable biosensors such as blood glucose meters, various problems may occur in the sample application process due to different understanding abilities, operation proficiency and culture levels of users, and these problems are very likely to seriously affect the detection result of the instrument, resulting in medication and treatment risks. The current common sample adding problem is that the secondary or multiple sample adding results in great deviation of detection results.
In the existing scheme for eliminating the influence of secondary or multiple sample addition, the method has a relatively large limitation, because the sample injection speed of a sample can be influenced by various internal and external conditions; for example, at an excessively low ambient temperature and a sample with a high hematocrit, the sample injection speed of the sample becomes very slow, and at an extreme environment of 10 ℃ and a sample hematocrit of 25%, the sample injection speed is less than 30% of the sample injection speed in a normal environment, which has a very large influence on using the sample injection time as an important judgment basis. In daily use, these internal and external conditions can affect the accuracy and practicality of the prior art scheme, so that the prior art scheme has relatively large limitations in practical application.
Disclosure of Invention
In view of the above, the invention provides a method, a device and a storage medium for eliminating the influence of a sample injection process, which solve the technical problem of lower accuracy in the existing technique for eliminating the influence of the sample injection process.
In one aspect, the invention provides a method for eliminating the influence of a sample injection process, comprising the following steps: sample adding is carried out on the sample to be detected, current signals corresponding to the sample to be detected are detected at intervals of set time, and a preset number of current values are obtained;
obtaining maximum current values from the preset number of current values, judging whether sample adding fails or not according to sampling time corresponding to the maximum current values, if not,
judging whether the sample adding mode is secondary or multiple samples according to the fitting goodness of the preset number of current values, if not, carrying out normal current signal detection, and outputting a current signal detection result.
Further, judging whether the sample loading fails according to the sampling time corresponding to the maximum current value, specifically, judging that the sample loading fails if the sampling time corresponding to the maximum current value is larger than a set time threshold value, and judging that the sample loading does not fail.
Further, the method for eliminating the influence of the sample injection process further comprises the step of reporting errors if the sample injection fails.
Further, according to the goodness of fit of the preset number of current values, judging whether the sample adding mode is the secondary or multiple sample adding, specifically comprising,
dividing the current value acquired before the sampling time corresponding to the maximum current value and the maximum current value, and the current value acquired after the sampling time corresponding to the maximum current value into G 1 And G 2 Two groups, judge the G 1 Whether the goodness of fit of the corresponding cubic polynomial is smaller than a first set goodness of fit threshold, if yes, judging that the sample adding mode is secondary or multiple samples, and if not, according to the G 2 And judging whether the sample adding mode is secondary or multiple sample adding according to the fitting goodness of the corresponding cubic polynomial.
Further, according to the G 2 The fitting goodness of the corresponding cubic polynomial judges whether the sample adding mode is secondary or multiple sample adding, specifically comprises the steps of judging G 2 If the corresponding cubic polynomial is smaller than the second set goodness-of-fit threshold, judging that the sample adding mode is secondary or multiple samples, otherwise, judging that the sample adding mode is not secondary or multiple samples.
Further, the method for eliminating the influence of the sample injection process further comprises the step of reporting errors if the sample injection mode is two or more times of sample injection.
Further, sample loading is performed on a sample to be tested, specifically including preheating a biosensor test piece and a biosensor, adding the sample to be tested into the biosensor test piece, and placing the biosensor test piece into the biosensor.
Further, measuring the current signal corresponding to the sample to be measured specifically includes detecting the current signal corresponding to the sample to be measured by adding a voltage to the detection electrode.
On the other hand, the invention also provides a device for eliminating the influence of the sample injection process, which comprises a processor and a memory, wherein the memory is stored with a computer program, and the method for eliminating the influence of the sample injection process according to any one of the technical schemes is realized when the computer program is executed by the processor.
In another aspect, the present invention further provides a computer readable storage medium, where the computer is configured to implement the method for eliminating the influence of the sample injection process according to any one of the above technical solutions when the computer is executed by a processor.
Compared with the prior art, the invention has the beneficial effects that: detecting current signals corresponding to the samples to be detected at intervals of set time by adding samples to be detected, and obtaining current values of preset number; obtaining maximum current values from the current values with the preset number, judging whether sample adding fails according to sampling time corresponding to the maximum current values, judging whether a sample adding mode is secondary or multiple sample adding according to the fitting goodness of the current values with the preset number if not, and if not, carrying out normal current signal detection and outputting a current signal detection result; the accuracy of eliminating the influence of the sample injection process is improved.
Drawings
FIG. 1 is a flow chart of a method for eliminating influence of a sample injection process according to embodiment 1 of the present invention;
FIG. 2 is a graph showing the summary of the normal loading current curve at 10deg.C according to example 1 of the present invention;
FIG. 3 is a summary of the current curves for two or more samples at 10deg.C according to example 1 of the present invention;
FIG. 4 is a graph showing the summary of the normal loading current curve at 25deg.C according to example 1 of the present invention;
FIG. 5 is a summary of the current curves for two or more samplings at 25℃according to example 1 of the present invention
FIG. 6 is a graph showing the summary of the normal loading current curve at 40℃according to example 1 of the present invention;
FIG. 7 is a summary of the current curves for two or more samples at 40℃as described in example 1 of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Example 1
The embodiment of the invention provides a method for eliminating the influence of a sample injection process, which is shown in a flow chart in fig. 1, and comprises the following steps:
step S1, sample loading is carried out on a sample to be detected, current signals corresponding to the sample to be detected are detected at intervals of set time, and a preset number of current values are obtained;
step S2, obtaining the maximum current value from the current values with the preset number, judging whether sample adding fails or not according to the sampling time corresponding to the maximum current value, if not,
judging whether the sample adding mode is secondary or multiple samples according to the fitting goodness of the preset number of current values, if not, carrying out normal current signal detection, and outputting a current signal detection result.
In the specific embodiment, the sample injection detection electrode can timely detect the addition of the sample, the time of the sample entering the reaction zone is accurately mastered by calculating the time difference of the sample passing through the electrodes, the reaction of the sample and the reaction reagent is not generated before the sample injection is detected under the normal sample injection condition, and the retention time of the sample in the reaction zone under the abnormal sample injection condition is ensured, so that the accuracy of the test is ensured;
preferably, the method for eliminating the influence of the sample injection process further comprises the step of reporting errors if the sample injection fails;
preferably, judging whether the sample addition fails according to the sampling time corresponding to the maximum current value, specifically including judging that the sample addition fails if the sampling time corresponding to the maximum current value is greater than a set time threshold value, and judging that the sample addition does not fail if the sampling time corresponding to the maximum current value is not greater than the set time threshold value;
in one embodiment, among 125 current values, a maximum value is found, the maximum value is named as a top value P, if the sampling frequency of P is between 0 and 70, namely, the corresponding sampling time is between 0 and 2.8s, the sample addition is judged not to fail, and if the corresponding sampling frequency is more than 70, namely, the sampling time is more than 2.8s, the sample addition is judged to fail; if the sample feeding fails, the sample feeding is stopped, and the next sample feeding is performed; if the sample adding is not failed, continuously judging whether the sample adding mode is secondary or multiple sample adding;
preferably, the method for eliminating the influence of the sample injection process further comprises the step of reporting errors if the sample injection mode is two or more times of sample injection;
preferably, determining whether the sample adding mode is two or more samples according to the goodness of fit of the preset number of current values, specifically including dividing the current value collected before the sampling time corresponding to the maximum current value and the maximum current value, and the current value collected after the sampling time corresponding to the maximum current value into G 1 And G 2 Two groups, judge the G 1 Whether the goodness of fit of the corresponding cubic polynomial is smaller than a first set goodness of fit threshold, if yes, judging that the sample adding mode is secondary or multiple samples, and if not, according to the G 2 And judging whether the sample adding mode is secondary or multiple sample adding according to the fitting goodness of the corresponding cubic polynomial.
In one embodiment, all data in front of P (current values in front of P for sampling time, including the top value P) are divided into a first array, and the first array is referred to as G 1 The method comprises the steps of carrying out a first treatment on the surface of the All data following the top value (current value with sampling time after P, excluding the topThe value P) is called G 2 ；
Find array G 1 Goodness of fit of the third order polynomial (r 1 2 ) If array G 1 The fitting goodness of the corresponding cubic polynomial is smaller than X (a first set fitting goodness threshold), and the sample adding mode is judged to be twice or multiple samples, and errors are directly reported; if r 1 2 If the sample is larger than or equal to X, judging whether the sample adding mode is secondary or multiple sample adding;
preferably, according to said G 2 The fitting goodness of the corresponding cubic polynomial judges whether the sample adding mode is secondary or multiple sample adding, specifically comprises the steps of judging G 2 Whether the fitting goodness of the corresponding cubic polynomial is smaller than a second set fitting goodness threshold value or not is judged, if yes, the sample adding mode is judged to be secondary or multiple sample adding, otherwise, the sample adding mode is judged not to be secondary or multiple sample adding;
in one embodiment, an array G is found 2 Goodness of fit of the third order polynomial (r 2 2 ) If G 2 If the goodness of fit of the corresponding cubic polynomial is smaller than Y (second set goodness of fit threshold), judging that the sample adding mode is secondary or multiple samples, and reporting errors directly; if G 2 The goodness of fit of the corresponding cubic polynomial is greater than or equal to Y; then normal current signal detection is carried out, and a current signal detection result is output;
preferably, sample loading is performed on a sample to be tested, specifically including preheating a biosensor test piece and a biosensor, adding the sample to be tested into the biosensor test piece, and placing the biosensor test piece into the biosensor;
preferably, the step of measuring the current signal corresponding to the sample to be measured specifically includes the steps of adding a voltage to a detection electrode to detect the current signal corresponding to the sample to be measured;
in one embodiment, the biosensor and the test piece are placed in the environment at the test temperature for about 30 minutes to be preheated in advance, the biosensor is connected with a computer micro-current data system, so that all data collected by the biosensor can be analyzed and displayed by the computer micro-current data system, the biosensor test piece is inserted into the biosensor, after the instrument (the computer micro-current data system) is started up for self-test, AC (alternating current) and DC (direct current) voltages are applied between detection electrodes, and sample injection signals (current signals) are detected; detecting a current signal every 0.04s (set time interval) of the instrument, wherein the detection frequency is 25Hz, and the total detection is 5 seconds, so that 125 current values (current values of preset number) can be obtained;
in specific implementation, a reagent for blood sugar is used for secondary sample addition, wherein the first sample addition amount is about 25% -40%, the second sample addition is sufficient, and the time interval between the two sample addition is within 5 seconds; and simultaneously carrying out a normal sample adding test as comparison; experiments were performed at three different temperatures, four different concentrations, and three different Hematocrit (HCT) values, respectively; the curve summary of the normal loading current at 10 ℃ is shown in figure 2, and the r of the normal loading current at 10 DEG C 1 2 As shown in table 1,
TABLE 1
Table 1 for different erythrocyte pressures and blood glucose concentrations, a total of 5 tests; likewise, r was measured for a total of 5 times for different erythrocyte pressures and blood glucose concentrations, with normal loading at 10 ℃ 2 2 As shown in table 2,
TABLE 2
The curve summary graph of the secondary or multiple sample adding current at 10 ℃ is shown in figure 3, and the r of the secondary or multiple sample adding at 10 DEG C 1 2 As shown in table 3,
TABLE 3 Table 3
10R of secondary or multiple application of sample at C 2 2 As shown in table 4,
TABLE 4 Table 4
The curve summary of the normal loading current at 25 ℃ is shown in FIG. 4, and the curve summary of the normal loading current at 25 ℃ is shown in the graph 1 2 As shown in table 5,
TABLE 5
R of normal sample addition at 25 DEG C 2 2 As shown in table 6,
TABLE 6
The total graph of the current curve of the secondary or multiple sample application at 25 ℃ is shown in figure 5, and the r of the secondary or multiple sample application at 25 DEG C 1 2 As shown in table 7,
TABLE 7
R of twice or more additions at 25 DEG C 2 2 As shown in table 8,
TABLE 8
The curve summary of the normal loading current at 40 ℃ is shown in FIG. 6, and the r of the normal loading current at 40 DEG C 1 2 As shown in table 9,
TABLE 9
R of normal sample addition at 40 DEG C 2 2 As shown in table 10,
table 10
The curve summary of the secondary or multiple sample application current at 40 ℃ is shown in figure 7, and r is the curve summary of the secondary or multiple sample application at 40 DEG C 1 2 As shown in table 11,
TABLE 11
R of twice or more additions at 40 DEG C 2 2 As shown in table 12,
table 12
The different curves in FIGS. 2-7 represent the current values obtained from different trials, with the ordinate units nA (10 -9 A) The abscissa unit is s; in tables 1-12, each table was tested 5 times in total for different red blood cell pressures and blood glucose concentrations; in all 360 groups of experiments, 350 groups of experimental data are effective, and the time of the highest point of the detected current value of the other 10 groups of data exceeds a preset threshold (2.8 seconds), namely the sampling time corresponding to the maximum current value is greater than the preset time threshold, so that errors are directly reported, and under the conditions that the hematocrit is 25% and the blood glucose concentration is 29.2 in tables 11 and 12; in all 350 groups of effective experiments, the normal loading of 350 groups of all experimental data was r for each group 1 2 And r 2 2 All greater than or equal to the threshold (the first set goodness-of-fit threshold and the second set goodness-of-fit threshold being equal,all 0.99); in all 350 groups of effective experiments, two or more times of loading 350 groups of all experimental data were r for each group 1 2 And r 2 2 At least one of which is less than a threshold value (0.99);
according to the method for eliminating the influence of the sample injection process, which is disclosed by the embodiment of the invention, the stability is higher under the influence of various uncertain environmental factors, the judgment success rate is higher, the abnormal judgment condition does not occur, and the sample injection condition can be accurately judged even under extremely severe conditions, so that the value of the biosensor in the aspect of actual scene application is greatly improved.
Example 2
The embodiment of the invention also provides a device for eliminating the influence of the sample injection process, which comprises a processor and a memory, wherein the memory is stored with a computer program, and the method for eliminating the influence of the sample injection process according to any one of the embodiments is realized when the computer program is executed by the processor.
Example 3
The embodiment of the invention provides a computer readable storage medium, which when being executed by a processor, implements the method for eliminating the influence of the sample injection process according to any one of the embodiments.
The invention discloses a method, a device and a storage medium for eliminating the influence of a sample injection process, which are characterized in that a sample to be detected is injected, current signals corresponding to the sample to be detected are detected at intervals of set time to obtain current values with preset numbers; obtaining maximum current values from the current values with the preset number, judging whether sample adding fails according to sampling time corresponding to the maximum current values, judging whether a sample adding mode is secondary or multiple sample adding according to the fitting goodness of the current values with the preset number if not, and if not, carrying out normal current signal detection and outputting a current signal detection result; the accuracy of eliminating the influence of the sample injection process is improved;
according to the technical scheme, under the influence of various uncertain environmental factors, the influence stability of the sample injection process is eliminated, the accuracy of judging whether the sample is injected twice or more times is high, the sample injection condition can be accurately judged even under extremely severe conditions, the practicability of eliminating the influence of the sample injection process of the biosensor is improved, and the value of the biosensor in the aspect of practical scene application is also greatly improved.
The above-described embodiments of the present invention do not limit the scope of the present invention. Any other corresponding changes and modifications made in accordance with the technical idea of the present invention shall be included in the scope of the claims of the present invention.
Claims (8)
1. The method for eliminating the influence of the sample injection process is characterized by comprising the following steps of:
sample adding is carried out on the sample to be detected, current signals corresponding to the sample to be detected are detected at intervals of set time, and a preset number of current values are obtained;
obtaining maximum current values from the preset number of current values, judging whether sampling fails or not according to sampling time corresponding to the maximum current values,
if not, judging whether the sample adding mode is secondary or multiple samples according to the fitting goodness of the preset number of current values, if not, carrying out normal current signal detection, and outputting a current signal detection result;
judging whether sample adding fails or not according to the sampling time corresponding to the maximum current value, wherein the method specifically comprises the steps of judging that sample adding fails if the sampling time corresponding to the maximum current value is larger than a set time threshold value, and judging that sample adding does not fail if the sampling time corresponding to the maximum current value is smaller than or equal to the set time threshold value;
judging whether the sample adding mode is secondary or multiple samples according to the fitting goodness of the preset number of current values, wherein the method specifically comprises the steps of,
dividing the current value acquired before the sampling time corresponding to the maximum current value and the maximum current value, and the current value acquired after the sampling time corresponding to the maximum current value into G 1 And G 2 Two groups, judge the G 1 Whether the goodness of fit of the corresponding cubic polynomial is smaller than a first set goodness of fit threshold value or not, if soJudging the sample adding mode to be secondary or multiple sample adding, if not, according to the G 2 And judging whether the sample adding mode is secondary or multiple sample adding according to the fitting goodness of the corresponding cubic polynomial.
2. The method of claim 1, further comprising reporting an error if the sample addition fails.
3. The method for eliminating influence of sample injection process according to claim 2, wherein according to the G 2 The fitting goodness of the corresponding cubic polynomial judges whether the sample adding mode is secondary or multiple sample adding, specifically comprises the steps of judging G 2 If the corresponding cubic polynomial is smaller than the second set goodness-of-fit threshold, judging that the sample adding mode is secondary or multiple samples, otherwise, judging that the sample adding mode is not secondary or multiple samples.
4. The method of claim 1, further comprising reporting an error if the sample is applied in two or more steps.
5. The method for eliminating influence of sample injection process according to claim 1, wherein the sample injection is performed on the sample to be tested, specifically comprising preheating the biosensor test piece and the biosensor, adding the sample to be tested to the biosensor test piece, and placing the biosensor test piece in the biosensor.
6. The method for eliminating influence of sample injection process according to claim 1, wherein detecting the current signal corresponding to the sample to be detected comprises detecting the current signal corresponding to the sample to be detected by applying a voltage to the detection electrode.
7. An apparatus for eliminating the effects of a sample injection process, comprising a processor and a memory, wherein the memory has a computer program stored thereon, which when executed by the processor, implements the method for eliminating the effects of a sample injection process as defined in any one of claims 1-6.
8. A computer readable storage medium having stored thereon a computer program, wherein the computer program when executed by a processor implements the method of eliminating effects of a sample injection process according to any of claims 1-6.
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6438498B1 (en) * | 2000-02-10 | 2002-08-20 | I-Stat Corporation | System, method and computer implemented process for assaying coagulation in fluid samples |
| CN103900997A (en) * | 2012-12-28 | 2014-07-02 | 深圳迈瑞生物医疗电子股份有限公司 | Sample analyser and method and device for detecting liquor drainage of sampling needle |
| CN104076083A (en) * | 2014-06-25 | 2014-10-01 | 施世英 | Heavy metal ion concentration test method adopting secondary sample injection |
| CN106226379A (en) * | 2016-07-10 | 2016-12-14 | 浙江亿联健医疗器械有限公司 | A kind of biosensor eliminating sample introduction process influence and method of testing |
| CN106443328A (en) * | 2016-08-31 | 2017-02-22 | 国网山东省电力公司平度市供电公司 | Power supply line detection method |
| CN109613078A (en) * | 2018-12-12 | 2019-04-12 | 广州万孚生物技术股份有限公司 | Anti-interference electrochemical test sensors and preparation method thereof |
-
2020
- 2020-06-16 CN CN202010548993.1A patent/CN111896759B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6438498B1 (en) * | 2000-02-10 | 2002-08-20 | I-Stat Corporation | System, method and computer implemented process for assaying coagulation in fluid samples |
| CN103900997A (en) * | 2012-12-28 | 2014-07-02 | 深圳迈瑞生物医疗电子股份有限公司 | Sample analyser and method and device for detecting liquor drainage of sampling needle |
| CN104076083A (en) * | 2014-06-25 | 2014-10-01 | 施世英 | Heavy metal ion concentration test method adopting secondary sample injection |
| CN106226379A (en) * | 2016-07-10 | 2016-12-14 | 浙江亿联健医疗器械有限公司 | A kind of biosensor eliminating sample introduction process influence and method of testing |
| CN106443328A (en) * | 2016-08-31 | 2017-02-22 | 国网山东省电力公司平度市供电公司 | Power supply line detection method |
| CN109613078A (en) * | 2018-12-12 | 2019-04-12 | 广州万孚生物技术股份有限公司 | Anti-interference electrochemical test sensors and preparation method thereof |
Non-Patent Citations (1)
| Title |
|---|
| 电泳芯片结构和芯片电泳分离操作参数的模拟、优化和实验验证;徐溢;吕君江;陆嘉莉;陈蓉;任峰;温志渝;;分析化学;34(04);第437-442页 * |
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