CN111896759A - Method and device for eliminating influence of sample introduction process and storage medium - Google Patents
Method and device for eliminating influence of sample introduction process and storage medium Download PDFInfo
- Publication number
- CN111896759A CN111896759A CN202010548993.1A CN202010548993A CN111896759A CN 111896759 A CN111896759 A CN 111896759A CN 202010548993 A CN202010548993 A CN 202010548993A CN 111896759 A CN111896759 A CN 111896759A
- Authority
- CN
- China
- Prior art keywords
- sample
- sample adding
- eliminating
- influence
- current value
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 68
- 238000005070 sampling Methods 0.000 claims abstract description 31
- 238000002347 injection Methods 0.000 claims abstract description 30
- 239000007924 injection Substances 0.000 claims abstract description 30
- 238000001514 detection method Methods 0.000 claims abstract description 26
- 238000004590 computer program Methods 0.000 claims description 9
- 238000012360 testing method Methods 0.000 description 13
- 210000004369 blood Anatomy 0.000 description 8
- 239000008280 blood Substances 0.000 description 8
- 238000006243 chemical reaction Methods 0.000 description 6
- WQZGKKKJIJFFOK-GASJEMHNSA-N Glucose Natural products OC[C@H]1OC(O)[C@H](O)[C@@H](O)[C@@H]1O WQZGKKKJIJFFOK-GASJEMHNSA-N 0.000 description 5
- 239000008103 glucose Substances 0.000 description 5
- 238000005534 hematocrit Methods 0.000 description 5
- 230000007613 environmental effect Effects 0.000 description 3
- 210000003743 erythrocyte Anatomy 0.000 description 3
- 238000002474 experimental method Methods 0.000 description 3
- 239000000126 substance Substances 0.000 description 3
- 230000002159 abnormal effect Effects 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 2
- 230000000975 bioactive effect Effects 0.000 description 2
- 239000003153 chemical reaction reagent Substances 0.000 description 2
- HVYWMOMLDIMFJA-DPAQBDIFSA-N cholesterol Chemical compound C1C=C2C[C@@H](O)CC[C@]2(C)[C@@H]2[C@@H]1[C@@H]1CC[C@H]([C@H](C)CCCC(C)C)[C@@]1(C)CC2 HVYWMOMLDIMFJA-DPAQBDIFSA-N 0.000 description 2
- 239000000243 solution Substances 0.000 description 2
- 239000013076 target substance Substances 0.000 description 2
- 102000004190 Enzymes Human genes 0.000 description 1
- 108090000790 Enzymes Proteins 0.000 description 1
- LEHOTFFKMJEONL-UHFFFAOYSA-N Uric Acid Chemical compound N1C(=O)NC(=O)C2=C1NC(=O)N2 LEHOTFFKMJEONL-UHFFFAOYSA-N 0.000 description 1
- TVWHNULVHGKJHS-UHFFFAOYSA-N Uric acid Natural products N1C(=O)NC(=O)C2NC(=O)NC21 TVWHNULVHGKJHS-UHFFFAOYSA-N 0.000 description 1
- 230000003321 amplification Effects 0.000 description 1
- 239000012491 analyte Substances 0.000 description 1
- -1 antibodies Proteins 0.000 description 1
- 239000000427 antigen Substances 0.000 description 1
- 102000036639 antigens Human genes 0.000 description 1
- 108091007433 antigens Proteins 0.000 description 1
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 210000001124 body fluid Anatomy 0.000 description 1
- 239000010839 body fluid Substances 0.000 description 1
- 210000004027 cell Anatomy 0.000 description 1
- 235000012000 cholesterol Nutrition 0.000 description 1
- 239000013078 crystal Substances 0.000 description 1
- 238000003745 diagnosis Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 239000003814 drug Substances 0.000 description 1
- 229940079593 drug Drugs 0.000 description 1
- 230000005669 field effect Effects 0.000 description 1
- 238000000338 in vitro Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 244000005700 microbiome Species 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000003199 nucleic acid amplification method Methods 0.000 description 1
- 150000007523 nucleic acids Chemical class 0.000 description 1
- 102000039446 nucleic acids Human genes 0.000 description 1
- 108020004707 nucleic acids Proteins 0.000 description 1
- 229910052760 oxygen Inorganic materials 0.000 description 1
- 239000001301 oxygen Substances 0.000 description 1
- UFTFJSFQGQCHQW-UHFFFAOYSA-N triformin Chemical compound O=COCC(OC=O)COC=O UFTFJSFQGQCHQW-UHFFFAOYSA-N 0.000 description 1
- 229940116269 uric acid Drugs 0.000 description 1
- 238000012418 validation experiment Methods 0.000 description 1
Images
Classifications
-
- 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
-
- 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
Landscapes
- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Engineering & Computer Science (AREA)
- Quality & Reliability (AREA)
- Investigating Or Analysing Biological Materials (AREA)
Abstract
The invention discloses a method, a device and a storage medium for eliminating the influence of a sample introduction process, belongs to the technical field of sample introduction of biosensors, and solves the problem of lower accuracy in the existing technology for eliminating the influence of the sample introduction process. A method for eliminating the influence of a sample injection process comprises the following steps: sampling samples to be detected, and detecting current signals corresponding to the samples to be detected at set time intervals to obtain current values of a preset number; and acquiring a maximum current value from the preset number of current values, judging whether sample adding fails according to sampling time corresponding to the maximum current value, if not, judging whether the sample adding mode is secondary or multiple sample adding according to the goodness of fit of the preset number of current values, 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 introduction process improves the accuracy of eliminating the influence of the sample introduction process.
Description
Technical Field
The invention relates to the technical field of sample introduction of biosensors, in particular to a method and a device for eliminating the influence of a sample introduction process and a storage medium.
Background
A biosensor (biosensor) is an instrument for selectively recognizing a target substance by using a bioactive substance and converting the concentration or content of the target substance into an electric signal for detection, and is an analysis tool or system consisting of an immobilized bio-sensitive material (including enzymes, antibodies, antigens, bioactive substances such as microorganisms, cells, tissues and nucleic acids) as a recognition element, a proper physicochemical transducer (such as an oxygen electrode, a photosensitive tube, a field effect tube, a piezoelectric crystal and the like) and a signal amplification device, and aims to convert the properties such as the type and the concentration of an analyte into quantitative data which can be easily accepted by people through a series of reactions so as to facilitate analysis. Biosensors have been widely used in the field of in vitro diagnosis, and these detection systems can detect physiological substances in body fluids, which is convenient for doctors to analyze and diagnose the condition of patients, and some instrument systems are also used in families, which is convenient for patients to monitor themselves, and these physiological indexes include blood sugar, uric acid, triglyceride, cholesterol, etc. at present, biosensors have been widely used in clinical detection, among which the most popular example is a portable blood sugar detection system;
in the case of biosensors, especially portable biosensors such as blood glucose meters, various problems may occur in the sample application process due to different comprehensibility, operational proficiency and culture degree of users, and the problems may seriously affect the detection result of the devices, thereby causing medication and treatment risks. The current common sample adding problem is that the sample adding is carried out for two times or more times to cause large deviation of a detection result.
The existing scheme for eliminating the influence of secondary or multiple sample adding has great limitation, because the sample feeding speed of a sample can be influenced by various internal and external conditions; for example, in the case of a sample with too low environmental temperature and high hematocrit, the sample injection speed of the sample becomes very slow, and in the extreme environment of 10 ℃ and 25% of the hematocrit of the sample, the sample injection speed is not 30% of the sample injection speed in the normal environment, which is very significant for using the sample injection time as an important judgment basis. In daily use, the accuracy and the practicability of the prior art scheme are influenced by the internal and external conditions, so that the practical application of the prior art scheme is greatly limited.
Disclosure of Invention
In view of this, the present invention provides a method, an apparatus and a storage medium for eliminating influence of a sample injection process, so as to solve the technical problem of low accuracy in the existing technology for eliminating influence of a sample injection process.
In one aspect, the invention provides a method for eliminating the influence of a sample injection process, which comprises the following steps: sampling samples to be detected, and detecting current signals corresponding to the samples to be detected at set time intervals to obtain current values of a preset number;
obtaining the maximum current value from the preset number of current values, judging whether the sample adding fails according to the sampling time corresponding to the maximum current value, if not,
and judging whether the sample adding mode is a secondary or multiple sample adding mode according to the goodness of fit of the preset number of current values, if not, carrying out normal current signal detection, and outputting a current signal detection result.
And further, judging whether the sample adding fails or not according to the sampling time corresponding to the maximum current value, specifically, if the sampling time corresponding to the maximum current value is greater than a set time threshold, judging that the sample adding fails, and if the sample adding fails, judging that the sample adding does not fail.
Further, the method for eliminating the influence of the sample injection process further comprises reporting an error 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 secondary or multiple sample adding, specifically comprising,
dividing the current value collected before the sampling time corresponding to the maximum current value, the maximum current value and the current value collected after the sampling time corresponding to the maximum current value into G1And G2Two groups, judge the G1Fitting superiority of corresponding cubic polynomialWhether the degree is less than a first set goodness-of-fit threshold value, if so, judging that the sample adding mode is two times or multiple times of sample adding, and if not, adding samples according to the G2And 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 said G2Judging whether the sample adding mode is secondary or multiple sample adding according to the goodness of fit of the corresponding cubic polynomial, specifically comprising judging G2And if so, judging that the sample adding mode is secondary or multiple sample adding, otherwise, judging that the sample adding mode is not secondary or multiple sample adding.
Further, the method for eliminating the influence of the sample injection process further comprises reporting an error if the sample injection mode is two or more sample injections.
Further, the sample to be tested is added, specifically comprising preheating the biosensor test strip and the biosensor, adding the sample to be tested into the biosensor test strip, and placing the biosensor test strip into the biosensor.
Further, the measuring of 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 when the computer program is executed by the processor, the method for eliminating the influence of the sample injection process is realized according to any technical scheme.
In another aspect, the present invention further provides a computer-readable storage medium, and when the computer program is executed by a processor, the method for eliminating the influence of the sampling process according to any of the above technical solutions is implemented.
Compared with the prior art, the invention has the beneficial effects that: detecting current signals corresponding to a sample to be detected at set time intervals by adding the sample to be detected to obtain current values of a preset number; acquiring a maximum current value from the preset number of current values, judging whether sample adding fails according to sampling time corresponding to the maximum current value, if not, judging whether the sample adding mode is secondary or multiple sample adding according to the goodness of fit of the preset number of current values, and if not, performing normal current signal detection and outputting a current signal detection result; the accuracy of eliminating the influence of the sample introduction process is improved.
Drawings
FIG. 1 is a schematic 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 general view of a normal sample application current curve at 10 ℃ in example 1 of the present invention;
FIG. 3 is a summary graph of current curves for two or more samples at 10 ℃ according to example 1 of the present invention;
FIG. 4 is a general graph of a normal sample application current curve at 25 ℃ according to example 1 of the present invention;
FIG. 5 is a summary of the current curves of two or more samples at 25 ℃ according to example 1 of the present invention
FIG. 6 is a general graph of a normal sample application 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
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Example 1
The embodiment of the invention provides a method for eliminating the influence of a sample injection process, which has a flow schematic diagram as shown in figure 1, and comprises the following steps:
step S1, sample adding is carried out on the sample to be detected, and current signals corresponding to the sample to be detected are detected at set time intervals to obtain current values of preset number;
step S2, obtaining the maximum current value from the preset number of current values, determining whether the sample loading fails according to the sampling time corresponding to the maximum current value, if not,
and judging whether the sample adding mode is a secondary or multiple sample adding mode according to the goodness of fit 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 feeding detection electrode can timely detect the feeding of the sample, and the time for the sample to enter the reaction area is accurately mastered by calculating the time difference of the sample passing through the electrodes, so that the reaction between the sample and the reaction reagent does not occur before the sample feeding is detected under the normal sample feeding condition, and the time for the sample to stay in the reaction area under the abnormal sample feeding condition is ensured, thereby ensuring the accuracy of the test;
preferably, the method for eliminating the influence of the sample injection process further comprises reporting an error if the sample injection fails;
preferably, whether sample adding fails or not is judged according to the sampling time corresponding to the maximum current value, and the method specifically comprises the steps of judging that sample adding fails if the sampling time corresponding to the maximum current value is greater than a set time threshold, and judging that sample adding fails if the sampling time corresponding to the maximum current value is not greater than the set time threshold;
in one embodiment, a maximum value is found out from 125 current values, 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 adding is judged not to fail, and if the corresponding sampling frequency is greater than 70, namely the sampling time is greater than 2.8s, the sample adding is judged to fail; if the sample adding fails, withdrawing the sample adding and carrying out next sample adding; if the sample adding fails, 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 reporting an error if the sample injection mode is two or more sample injections;
preferably, the method further includes determining whether the sample loading mode is a secondary or multiple sample loading according to the goodness of fit of the preset number of current values, specifically including the current to be collected before the sampling time corresponding to the maximum current valueThe value and the maximum current value, and the current value collected after the sampling time corresponding to the maximum current value, are divided into G1And G2Two groups, judge the G1Whether the goodness of fit of the corresponding cubic polynomial is smaller than a first set goodness of fit threshold value or not, if so, judging that the sample adding mode is secondary or multiple sample adding, and if not, according to the G2And 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 before P (current values with sampling time before P, including the top value P) are divided into a first array, and the first array is referred to as G1(ii) a All data after the top value (current value with sampling time after P, not including the top value P) are called G as the second array2；
Find array G1Goodness of fit (r) of cubic polynomial1 2) If array G is present1If the fitting goodness of the corresponding cubic polynomial is less than X (the first set fitting goodness threshold), judging that the sample adding mode is secondary or multiple sample adding and directly reporting errors; if r is1 2If the sample adding mode is more than or equal to X, judging whether the sample adding mode is two or more times of sample adding;
preferably, according to said G2Judging whether the sample adding mode is secondary or multiple sample adding according to the goodness of fit of the corresponding cubic polynomial, specifically comprising judging G2Whether 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, and if not, the sample adding mode is judged not to be secondary or multiple sample adding;
in one embodiment, the array G is solved2Goodness of fit (r) of cubic polynomial2 2) If G is2If the goodness of fit of the corresponding cubic polynomial is less than Y (a second set goodness of fit threshold), judging that the sample adding mode is secondary or multiple sample adding and directly reporting errors; if G is2The goodness of fit of the corresponding cubic polynomial is greater than or equal to Y; carrying out normal current signal detection and outputting a current signal detection result;
preferably, the sample to be tested is added, and the method specifically comprises the steps of 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 detecting the current signal corresponding to the sample to be detected specifically includes detecting the current signal corresponding to the sample to be detected by adding voltage to the detection electrode;
in one embodiment, the biosensor and the test strip are placed in a test temperature environment for about 30 minutes to preheat in advance, the biosensor is connected with a computer micro-current data system, all data collected by the biosensor can be analyzed and displayed by the computer micro-current data system, the biosensor test strip is inserted into the biosensor, and after the instrument (the computer micro-current data system) is started and self-tested, AC (alternating current) voltage and DC (direct current) voltage are applied between detection electrodes to detect a sample introduction signal (a current signal); detecting a current signal once every 0.04s (set time interval) by the instrument, wherein the detection frequency is 25Hz, and continuously detecting for 5 seconds, so that 125 current values (preset number of current values) can be obtained in total;
in specific implementation, a reaction reagent of blood sugar is used for carrying out secondary sample adding, wherein the sample adding amount in the first time is about 25% -40%, the sample adding is sufficient in the second time, and the time interval between the two sample adding is within 5 seconds; and simultaneously carrying out a test of normal sample adding as comparison; the experiments were performed at three different temperatures, four different concentrations and three different Hematocrit (HCT) values, respectively; the current curve of normal sample application at 10 ℃ is summarized as shown in FIG. 2, and r of normal sample application at 10 ℃1 2As shown in table 1, the results of,
TABLE 1
Table 1 tests for different red blood cell pressures and blood glucose concentrations for a total of 5 times; similarly, the r normally loaded at 10 ℃ was tested 5 times in total for different red blood cell pressures and blood glucose concentrations2 2As shown in table 2, the results of,
TABLE 2
The current curve of two or more samples at 10 ℃ is summarized in FIG. 3, which shows the r of two or more samples at 10 ℃1 2As shown in Table 3, the results of,
TABLE 3
R of two or more applications at 10 ℃2 2As shown in table 4, the results of,
TABLE 4
The current curve for normal sample application at 25 ℃ is summarized in FIG. 4, which shows the r for normal sample application at 25 ℃1 2As shown in table 5, the results of,
TABLE 5
R of normal sample application at 25 deg.C2 2As shown in Table 6, the results of,
TABLE 6
Current curves for two or more samples at 25 ℃ are summarized in FIG. 5, and r for two or more samples at 25 ℃1 2As shown in Table 7, the following examples,
TABLE 7
25℃R for next two or more samples2 2As shown in the table 8, the following,
TABLE 8
The current curve for normal sample application at 40 ℃ is summarized in FIG. 6, which shows the r for normal sample application at 40 ℃1 2As shown in Table 9, the following examples,
TABLE 9
R of normal sample application at 40 ℃2 2As shown in table 10, the results of,
watch 10
Current curves for two or more samples at 40 ℃ are summarized in FIG. 7, which shows the r for two or more samples at 40 ℃1 2As shown in Table 11, the following examples,
TABLE 11
R of two or more applications at 40 ℃2 2As shown in table 12, the results of,
TABLE 12
The different curves in FIGS. 2 to 7 represent the current values obtained in different tests, with the ordinate in nA (10)-9A) The abscissa unit is s; tables 1-12, each table was tested for a total of 5 times for different red blood cell pressures and blood glucose concentrations; in all 360 (times) of experiments, 350 groups of experimental data are valid, and the peak of the detected current value appears in another 10 groups of dataWhen the time of (2) exceeds the preset threshold (2.8 seconds), that is, when the sampling time corresponding to the maximum current value is greater than the set time threshold, the error is directly reported, as in the cases of table 11 and table 12, in which the hematocrit is 25% and the blood glucose concentration is 29.2; in all 350 sets of experiments, the normal sample loading of 350 sets of all experimental data r of each set1 2And r2 2All greater than or equal to a threshold (the first set goodness-of-fit threshold and the second set goodness-of-fit threshold are equal, both 0.99); in all 350 sets of validation experiments, two or more samples were added to 350 sets of all experimental data r for each set1 2And r2 2At least one is less than a threshold value (0.99);
through data statistics, the method for eliminating the influence of the sample injection process, provided by the embodiment of the invention, has the advantages of higher stability under the influence of various uncertain environmental factors, higher judgment success rate and no abnormal judgment, and can accurately judge the sample injection condition even under extremely severe conditions, so that the value of the biosensor in the aspect of practical 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 when the computer program is executed by the processor, the method for eliminating the influence of the sample injection process is realized.
Example 3
The embodiment of the invention provides a computer readable storage medium, and when the computer program is executed by a processor, the method for eliminating the influence of the sample injection process is realized 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 introduction process, wherein a sample to be detected is subjected to sample introduction, and current signals corresponding to the sample to be detected are detected at set time intervals to obtain current values of a preset number; acquiring a maximum current value from the preset number of current values, judging whether sample adding fails according to sampling time corresponding to the maximum current value, if not, judging whether the sample adding mode is secondary or multiple sample adding according to the goodness of fit of the preset number of current values, and if not, performing normal current signal detection and outputting a current signal detection result; the accuracy of eliminating the influence of the sample introduction process is improved;
according to the technical scheme, under the influence of various uncertain environmental factors, the stability of eliminating the influence of the sample introduction process is high, the accuracy of judging whether the sample introduction is carried out for two times or more is high, the sample introduction condition can be accurately judged even under extremely harsh conditions, the practicability of eliminating the influence of the sample introduction process of the biosensor is improved, and the value of the biosensor in the aspect of practical scene application is greatly improved.
The above-described embodiments of the present invention should not be construed as limiting the scope of the present invention. Any other corresponding changes and modifications made according to the technical idea of the present invention should be included in the protection scope of the claims of the present invention.
Claims (10)
1. A method for eliminating the influence of a sample introduction process is characterized by comprising the following steps:
sampling samples to be detected, and detecting current signals corresponding to the samples to be detected at set time intervals to obtain current values of a preset number;
obtaining the maximum current value from the preset number of current values, judging whether the sample adding fails according to the sampling time corresponding to the maximum current value,
if not, judging whether the sample adding mode is secondary or multiple sample adding according to the goodness of fit of the preset number of current values, if not, carrying out normal current signal detection, and outputting a current signal detection result.
2. The method according to claim 1, wherein determining whether the sample application fails according to the sampling time corresponding to the maximum current value specifically includes determining that the sample application fails if the sampling time corresponding to the maximum current value is greater than a set time threshold, and determining that the sample application fails if the sampling time corresponding to the maximum current value is not greater than the set time threshold.
3. The method of claim 1, further comprising reporting an error if the sample loading fails.
4. The method according to claim 1, wherein determining whether the sample loading manner is a secondary or multiple sample loading manner according to the goodness of fit of the preset number of current values comprises,
dividing the current value collected before the sampling time corresponding to the maximum current value, the maximum current value and the current value collected after the sampling time corresponding to the maximum current value into G1And G2Two groups, judge the G1Whether the goodness of fit of the corresponding cubic polynomial is smaller than a first set goodness of fit threshold value or not, if so, judging that the sample adding mode is secondary or multiple sample adding, and if not, according to the G2And judging whether the sample adding mode is secondary or multiple sample adding according to the fitting goodness of the corresponding cubic polynomial.
5. The method for eliminating the influence of the sample introduction process according to claim 4, wherein the G is the basis of2Judging whether the sample adding mode is secondary or multiple sample adding according to the goodness of fit of the corresponding cubic polynomial, specifically comprising judging G2And if so, judging that the sample adding mode is secondary or multiple sample adding, otherwise, judging that the sample adding mode is not secondary or multiple sample adding.
6. The method of claim 1, further comprising reporting an error if the sample loading manner is two or more times.
7. The method according to claim 1, wherein the sample is loaded by preheating the biosensor strip and the biosensor, loading the sample into the biosensor strip, and placing the biosensor strip into the biosensor.
8. The method according to claim 1, wherein detecting the current signal corresponding to the sample comprises detecting the current signal corresponding to the sample by applying a voltage to the detection electrode.
9. An apparatus for eliminating influence of a sample injection process, comprising a processor and a memory, wherein the memory stores a computer program, and the computer program is executed by the processor to implement the method for eliminating influence of a sample injection process according to any one of claims 1 to 8.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the method of eliminating an influence of a sample injection process according to any one of claims 1 to 8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010548993.1A CN111896759B (en) | 2020-06-16 | 2020-06-16 | Method, device and storage medium for eliminating influence of sample injection process |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010548993.1A CN111896759B (en) | 2020-06-16 | 2020-06-16 | Method, device and storage medium for eliminating influence of sample injection process |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111896759A true CN111896759A (en) | 2020-11-06 |
| CN111896759B CN111896759B (en) | 2023-11-24 |
Family
ID=73206705
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010548993.1A Active CN111896759B (en) | 2020-06-16 | 2020-06-16 | Method, device and storage medium for eliminating influence of sample injection process |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111896759B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114067939A (en) * | 2021-10-20 | 2022-02-18 | 迈克医疗电子有限公司 | Sample adding time determining method and device and electronic equipment |
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 |
|---|
| 徐溢;吕君江;陆嘉莉;陈蓉;任峰;温志渝;: "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", 分析化学, vol. 34, no. 04, pages 437 - 442 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114067939A (en) * | 2021-10-20 | 2022-02-18 | 迈克医疗电子有限公司 | Sample adding time determining method and device and electronic equipment |
| CN114067939B (en) * | 2021-10-20 | 2023-12-01 | 迈克医疗电子有限公司 | Sample loading time determining method and device and electronic equipment |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111896759B (en) | 2023-11-24 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US9400272B2 (en) | Detection method and apparatus for detecting microbial growth | |
| RU2619830C2 (en) | Accurate measurement of analyte concentration for electrochemical test strips based on determined physical characteristics of sample containing analyte | |
| JP2010526308A (en) | System and method for analyte measurement using nonlinear sample response | |
| TW200914820A (en) | System and methods for determination of analyte concentration using time resolved amperometry | |
| RU2689154C1 (en) | Two-compartment analytical test strip | |
| WO2024169125A1 (en) | Metabolic index concentration measurement method and system and electrochemical measurement system | |
| CN107636452A (en) | Improved bio-sensor system analysis measurement | |
| CN107121478A (en) | A kind of biology sensor that can detect that sample is not enough, method | |
| CN106226379A (en) | A kind of biosensor eliminating sample introduction process influence and method of testing | |
| CN111896759B (en) | Method, device and storage medium for eliminating influence of sample injection process | |
| AU2002251318B2 (en) | Diagnosis by sensing volatile components | |
| TW201833549A (en) | Determining an analyte concentration of a physiological fluid having an interferent | |
| US9494555B2 (en) | System and method for measuring an analyte in a sample and calculating glucose results to account for physical characteristics of the sample | |
| EP3250916B1 (en) | Reference electrode error trap determined from a specified sampling time and a pre-determined sampling time | |
| CN109470533B (en) | Preparation method of human whole blood matrix quality control product for portable glucometer | |
| AU2002251318A1 (en) | Diagnosis by sensing volatile components | |
| EP2956765B1 (en) | System and method for measuring an analyte in a sample and calculating hematocrit-insensitive glucose concentrations | |
| CN108132284B (en) | A kind of test method of electrochemical sensor | |
| Rajbhandari et al. | Comparison of Capillary and Venous Glucose in Diabetic Patient in a Peripheral Hospital | |
| CN109521201A (en) | A kind of source of people whole blood matrix quality-control product for portable glucose meter | |
| CN115876864B (en) | Test correction method and system for electrochemical biosensor | |
| Jia et al. | Nanopore Identification of L‐, D‐Lactic Acids, D‐Glucose and Gluconic Acid in the Serum of Human and Animals | |
| US20150377825A1 (en) | Calibration method for blood glucose of blood sample | |
| TW594004B (en) | Integrated electrochemical biochemical sensor device and its sensing method | |
| Ansari et al. | Are blood glucose monitors for home use and hospital use interchangeable? |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |