CN108982732A - A kind of efficient liquid phase glycosylated hemoglobin chromatographic peak area recognition methods - Google Patents
A kind of efficient liquid phase glycosylated hemoglobin chromatographic peak area recognition methods Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 34
- 102000017011 Glycated Hemoglobin A Human genes 0.000 title claims abstract description 22
- 239000007791 liquid phase Substances 0.000 title claims abstract description 20
- 108010014663 Glycated Hemoglobin A Proteins 0.000 title claims abstract description 16
- 238000012360 testing method Methods 0.000 claims abstract description 20
- 230000008569 process Effects 0.000 claims abstract description 11
- 238000013178 mathematical model Methods 0.000 claims abstract description 7
- 238000013480 data collection Methods 0.000 claims abstract description 4
- 238000004364 calculation method Methods 0.000 claims description 9
- 238000012937 correction Methods 0.000 claims description 7
- 108091005995 glycated hemoglobin Proteins 0.000 claims description 6
- 239000011159 matrix material Substances 0.000 claims description 6
- 230000036252 glycation Effects 0.000 claims description 5
- 230000004048 modification Effects 0.000 claims description 4
- 238000012986 modification Methods 0.000 claims description 4
- 238000001514 detection method Methods 0.000 abstract description 8
- 238000007689 inspection Methods 0.000 abstract description 2
- 238000004587 chromatography analysis Methods 0.000 abstract 1
- 230000008685 targeting Effects 0.000 abstract 1
- 206010012601 diabetes mellitus Diseases 0.000 description 8
- 210000004369 blood Anatomy 0.000 description 4
- 239000008280 blood Substances 0.000 description 4
- 238000005457 optimization Methods 0.000 description 3
- ZOXJGFHDIHLPTG-UHFFFAOYSA-N Boron Chemical compound [B] ZOXJGFHDIHLPTG-UHFFFAOYSA-N 0.000 description 2
- 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 2
- 238000001042 affinity chromatography Methods 0.000 description 2
- 229910052796 boron Inorganic materials 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 239000008103 glucose Substances 0.000 description 2
- 238000004255 ion exchange chromatography Methods 0.000 description 2
- 239000007788 liquid Substances 0.000 description 2
- 238000000926 separation method Methods 0.000 description 2
- 238000003556 assay Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000001386 capillary affinity electrophoresis Methods 0.000 description 1
- 238000010828 elution Methods 0.000 description 1
- 210000003743 erythrocyte Anatomy 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 238000002649 immunization Methods 0.000 description 1
- 230000003053 immunization Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N30/00—Investigating or analysing materials by separation into components using adsorption, absorption or similar phenomena or using ion-exchange, e.g. chromatography or field flow fractionation
- G01N30/02—Column chromatography
- G01N30/86—Signal analysis
- G01N30/8624—Detection of slopes or peaks; baseline correction
- G01N30/8631—Peaks
- G01N30/8634—Peak quality criteria
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Abstract
The present invention discloses a kind of efficient liquid phase glycosylated hemoglobin chromatographic peak area recognition methods, including data collection: being collected to glycosylated hemoglobin test data and removes impulse disturbances；Onset index Gaussian curve: by test data onset index Gaussian curve, and parameter in gauge index Gaussian curve；Carry out index gaussian curve approximation: the mathematical model for using the convolution of Gaussian curve and exponential decay curve as curved flow of chromatography is fitted the peak type of efficient liquid phase；Correct the index gaussian curve approximation.The present invention realizes the efficient identification of efficient liquid phase saccharification peak area, there are the abilities such as anti-impulse disturbances, Parameter adjustable, the amendment of automatic peak height in identification process, the accuracy of identification of liquid phase glycosylated hemoglobin chromatographic peak area is improved, high-precision targeting inspection result can be provided for the detection of glycosylated hemoglobin.
Description
Technical Field
The invention belongs to the technical field of glycosylated hemoglobin identification, and particularly relates to a high-efficiency liquid-phase glycosylated hemoglobin chromatographic peak area identification method.
Background
Diabetes is increasingly threatening the health of humans, and monitoring efforts directed to diabetes treatment are also receiving increased attention from medical workers. Among parameters reflecting diabetes treatment indexes, glycated hemoglobin is more accepted and favored by authorities and institutions due to its stability.
Glycated hemoglobin assay has been used as a medical diagnostic, originated in the last eighties of the last seventies, and mainly measures the ability of glucose molecules in blood to attach to red blood cells, as an assessment of the quality of blood glucose level control in the past 2-3 months in diabetic patients. At present, methods clinically used for measuring the HbA1c content mainly comprise immunization, ion exchange chromatography, boron affinity chromatography, capillary electrophoresis and the like. The methods comprise a separation step before the photometric quantitative determination of the HbA1c content, such as ion exchange chromatography and electrophoretic separation based on the surface charge difference between HbA1c and Hb and immune and boron affinity chromatography based on the structure difference between HbA1c and Hb, the detection process needs multiple elution and special instrument detection, the detected data cannot be effectively identified, the detection period is greatly increased, the detection precision is reduced, and therefore, the application in the aspects of early warning of diabetes and medium-long term control of the blood sugar level of a diabetic patient is limited.
Disclosure of Invention
In order to solve the problems, the invention provides a high-efficiency liquid-phase glycosylated hemoglobin chromatographic peak area identification method, which realizes the high-efficiency identification of a high-efficiency liquid-phase glycosylated peak area by introducing Gaussian curve fitting, has the capabilities of pulse interference resistance, parameter adjustability, automatic peak height correction and the like in the identification process, improves the identification precision of the liquid-phase glycosylated hemoglobin chromatographic peak area, and can provide a high-precision target detection result for the detection of the glycosylated hemoglobin.
In order to achieve the purpose, the invention adopts the technical scheme that: a method for identifying the chromatographic peak area of high-efficiency liquid-phase glycated hemoglobin comprises the following steps:
s100, data collection: collecting test data of the glycosylated hemoglobin and removing pulse interference;
s200, establishing an exponential Gaussian curve: establishing an exponential Gaussian curve through test data, and calculating parameters in the exponential Gaussian curve;
s300, performing exponential Gaussian curve fitting: fitting the peak type of the high-performance liquid phase by taking the convolution of the Gaussian curve and the exponential decay curve as a mathematical model of a chromatographic outflow curve;
and S400, correcting the exponential Gaussian curve fitting.
Further, in step S100, test data is collected, and the collected test data (x) is recorded in the form of pairsi,yi),i＝1,2,N。
Further, in step S200, an exponential gaussian curve is created by recording data, and the calculation formula of the exponential gaussian curve is:
wherein S is the area under the curve; μ is data xiI is the mean of 1,2, N,σ is data xiI is the standard deviation of 1,2, N,
further, parameters in the calculated exponential gaussian curve include the area under the curve, S, the mean of the test data, μ, and the standard deviation of the test data, σ.
Further, in step S200, the calculation process of the parameters in the exponential gaussian curve includes the steps of:
s201, taking natural logarithms at two sides of an exponential Gaussian curve calculation formula, including
S202, introducing a new variable Zi, and converting the formula obtained in S201 into a quadratic polynomial function:
wherein z isi＝ln yi，
S203, expressing the quadratic polynomial function into a matrix form to obtain a matrix function:
s204, according to a least square method, giving a solving parameter b0，b1，b2Is expressed as
Wherein,
s205, by the relational expressionμ＝σ2b1，And solving the parameter values in the exponential Gaussian curve.
Further, in step S300, exponential gaussian curve fitting is performed: taking the convolution of a Gaussian curve and an exponential decay curve as a mathematical model of a chromatogram outflow curve to fit the peak type of the high-performance liquid phase, wherein the fitting calculation formula is as follows:
wherein h (x) is a function of the outflow time t and the exponential decay curve isTau is the time constant of exponential decay curve, v is convolution integral variable, and any two curve functions fX(x) And fYThe convolution operation of (y) is defined as
Furthermore, overfitting and under-fitting can occur when saccharification peak fitting is performed, probably because the model parameters are greatly influenced by the change of the peak pattern; in order to solve the problem that the fitting result of the directly used glycated peak is not accurate due to the possible subtle differences in the peak patterns in the collection process caused by the various interferences, the exponential gaussian curve fitting is modified in step S400, which includes the steps of:
calculating a peak value fitted by an exponential Gaussian curve as a saccharification peak value;
comparing the saccharification peak value with the actual peak value; when the saccharification peak value is the same as the actual peak value, no correction is carried out; when the peak value is deviated from the actual value, correcting;
the modification process comprises the following steps: the calculated glycation peak is multiplied by a factor to equalize the peak with the actual peak.
Further, the formula for determining the comparison between the saccharification peak and the actual peak is as follows:
wherein,denotes that at time t ═ PACalculating the obtained saccharification peak value;denotes that at time t ═ PAActual peak value of true glycation peak;
at the peak of saccharificationAnd the actual peak valueWhen the same, adopting the expression of the upper half part;
when the saccharification peakAnd the actual peak valueAnd the lower half expression is adopted, the coefficient is automatically corrected, and automatic peak height correction is realized.
The beneficial effects of the technical scheme are as follows:
according to the method, the high-efficiency identification of the high-efficiency liquid phase glycosylated peak area is realized by introducing Gaussian curve fitting, the method has the capabilities of pulse interference resistance, parameter adjustability, automatic peak height correction and the like in the identification process, the identification precision of the liquid phase glycosylated hemoglobin chromatographic peak area is improved, and high-precision targeted inspection data can be provided for the detection of the glycosylated hemoglobin; provides reliable basis for early warning of diabetes and medium-and-long-term control of blood sugar level of diabetic patients;
the invention improves the accuracy of peak identification by removing pulse interference; the peak height can be automatically corrected based on the corrected Gaussian function closure, so that a high-precision numerical result is obtained.
Drawings
FIG. 1 is a schematic flow chart of a method for identifying the chromatographic peak area of high performance liquid glycated hemoglobin according to 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 further described with reference to the accompanying drawings.
In this embodiment, referring to fig. 1, the present invention provides a method for identifying a chromatographic peak area of a high performance liquid glycated hemoglobin, comprising the steps of:
s100, data collection: collecting test data of the glycosylated hemoglobin and removing pulse interference;
s200, establishing an exponential Gaussian curve: establishing an exponential Gaussian curve through test data, and calculating parameters in the exponential Gaussian curve;
s300, performing exponential Gaussian curve fitting: fitting the peak type of the high-performance liquid phase by taking the convolution of the Gaussian curve and the exponential decay curve as a mathematical model of a chromatographic outflow curve;
and S400, correcting the exponential Gaussian curve fitting.
As an optimization of the above embodiment, in step S100, the test data is collected as a numberForm of pairs the test data (x) collected was recordedi,yi),i＝1,2,N。
As an optimization scheme of the above embodiment, in step S200, an exponential gaussian curve is created by recording data, and the calculation formula of the exponential gaussian curve is as follows:
wherein S is the area under the curve; μ is data xiI is the mean of 1,2, N,σ is data xiI is the standard deviation of 1,2, N,
parameters in the calculated exponential gaussian curve include the area under the curve, S, the mean value of the test data, mu, and the standard deviation of the test data, sigma.
In step S200, the process of calculating parameters in the exponential gaussian curve includes the steps of:
s201, taking natural logarithms at two sides of an exponential Gaussian curve calculation formula, including
S202, introducing a new variable Zi, and converting the formula obtained in S201 into a quadratic polynomial function:
wherein z isi＝ln yi，
S203, expressing the quadratic polynomial function into a matrix form to obtain a matrix function:
s204, according to a least square method, giving a solving parameter b0，b1，b2Is expressed as
Wherein,
s205, by the relational expressionμ＝σ2b1，And solving the parameter values in the exponential Gaussian curve.
As an optimization of the above embodiment, in step S300, exponential gaussian curve fitting is performed: taking the convolution of a Gaussian curve and an exponential decay curve as a mathematical model of a chromatogram outflow curve to fit the peak type of the high-performance liquid phase, wherein the fitting calculation formula is as follows:
wherein h (x) is a function of the outflow time t and the exponential decay curve isTau is the time constant of exponential decay curve, v is convolution integral variable, and any two curve functions fX(x) And fYThe convolution operation of (y) is defined as
When saccharification peak fitting is carried out, overfitting, under-fitting and the like can occur because the model parameters are greatly influenced by the change of the peak pattern; in order to solve the problem that the fitting result of the directly used glycated peak is not accurate due to the possible subtle differences in the peak patterns in the collection process caused by the various interferences, the exponential gaussian curve fitting is modified in step S400, which includes the steps of:
calculating a peak value fitted by an exponential Gaussian curve as a saccharification peak value;
comparing the saccharification peak value with the actual peak value; when the saccharification peak value is the same as the actual peak value, no correction is carried out; when the peak value is deviated from the actual value, correcting;
the modification process comprises the following steps: the calculated glycation peak is multiplied by a factor to equalize the peak with the actual peak.
Wherein, the judgment formula for comparing the saccharification peak value with the actual peak value is as follows:
wherein,denotes that at time t ═ PACalculating the obtained saccharification peak value;denotes that at time t ═ PATrue saccharification peakA cross-peak value;
at the peak of saccharificationAnd the actual peak valueWhen the same, adopting the expression of the upper half part;
when the saccharification peakAnd the actual peak valueAnd the lower half expression is adopted, the coefficient is automatically corrected, and automatic peak height correction is realized.
The foregoing shows and describes the general principles and broad features of the present invention and advantages thereof. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (8)
1. A method for identifying the chromatographic peak area of high-efficiency liquid-phase glycated hemoglobin is characterized by comprising the following steps:
s100, data collection: collecting test data of the glycosylated hemoglobin and removing pulse interference;
s200, establishing an exponential Gaussian curve: establishing an exponential Gaussian curve through test data, and calculating parameters in the exponential Gaussian curve;
s300, performing exponential Gaussian curve fitting: fitting the peak type of the high-performance liquid phase by taking the convolution of the Gaussian curve and the exponential decay curve as a mathematical model of a chromatographic outflow curve;
and S400, correcting the exponential Gaussian curve fitting.
2. The method of claim 1, wherein the test data is collected and the collected test data (x) is recorded in the form of a plurality of pairs in step S100i,yi),i＝1,2,N。
3. The method of claim 2, wherein in step S200, an exponential gaussian curve is created by recording data, wherein the exponential gaussian curve is calculated by the formula:
wherein S is the area under the curve; μ is data xiI is the mean of 1,2, N,σ is data xiI is the standard deviation of 1,2, N,
4. the method of claim 3, wherein the parameters of the exponential Gaussian curve include an area S under the curve, a mean μ of the test data, and a standard deviation σ of the test data.
5. The method of claim 4, wherein the step of calculating parameters of the exponential Gaussian curve in step S200 comprises the steps of:
s201, taking natural logarithms at two sides of an exponential Gaussian curve calculation formula, including
S202, introducing a new variable Zi, and converting the formula obtained in S201 into a quadratic polynomial function:
wherein z isi＝lnyi，
S203, expressing the quadratic polynomial function into a matrix form to obtain a matrix function:
s204, according to a least square method, giving a solving parameter b0，b1，b2Is expressed as
Wherein,
s205, by the relational expressionμ＝σ2b1，And solving the parameter values in the exponential Gaussian curve.
6. The method of claim 5, wherein in step S300, an exponential Gaussian curve fitting is performed: taking the convolution of a Gaussian curve and an exponential decay curve as a mathematical model of a chromatogram outflow curve to fit the peak type of the high-performance liquid phase, wherein the fitting calculation formula is as follows:
wherein h (x) is a function of the outflow time t and the exponential decay curve isTau is the time constant of exponential decay curve, v is convolution integral variable, and any two curve functions fX(x) And fYThe convolution operation of (y) is defined as
7. The method of claim 6, wherein the step S400 of modifying the exponential Gaussian curve fit comprises the steps of:
calculating a peak value fitted by an exponential Gaussian curve as a saccharification peak value;
comparing the saccharification peak value with the actual peak value; when the saccharification peak value is the same as the actual peak value, no correction is carried out; when the peak value is deviated from the actual value, correcting;
the modification process comprises the following steps: the calculated glycation peak is multiplied by a factor to equalize the peak with the actual peak.
8. The method of claim 7, wherein the formula for comparing the glycated peak with the actual peak is:
wherein,denotes that at time t ═ PACalculating the obtained saccharification peak value;denotes that at time t ═ PAActual peak value of true glycation peak;
at the peak of saccharificationAnd the actual peak valueWhen the same, adopting the expression of the upper half part;
when the saccharification peakAnd the actual peak valueAnd the lower half expression is adopted to automatically correct the coefficient.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109682907A (en) * | 2019-01-14 | 2019-04-26 | 华中科技大学 | A method of it is demanded perfection the first dimension chromatographic peak in two-dimensional chromatography by two modulation peaks |
| CN109917061A (en) * | 2019-03-11 | 2019-06-21 | 嘉兴迈维代谢生物科技有限公司 | A kind of method of quick point in wide target metabolism group |
| CN112444589A (en) * | 2020-12-04 | 2021-03-05 | 深圳普门科技股份有限公司 | Chromatographic peak detection method, device, computer equipment and storage medium |
| CN113419020A (en) * | 2021-06-30 | 2021-09-21 | 成都师范学院 | Glycated hemoglobin overlapping peak recognition method, apparatus, system, device, and medium |
| CN114002367A (en) * | 2021-10-15 | 2022-02-01 | 无锡博慧斯生物医药科技有限公司 | Algorithm of chromatographic peak area of high-efficiency liquid-phase glycosylated hemoglobin |
| CN114431856A (en) * | 2022-01-28 | 2022-05-06 | 上海乾康医疗设备股份有限公司 | Neural feedback rehabilitation training system |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH10170492A (en) * | 1996-12-09 | 1998-06-26 | Jasco Corp | Apparatus for measuring time-developed spectrum |
| CN1712955A (en) * | 2004-06-25 | 2005-12-28 | 中国科学院大连化学物理研究所 | Precisive measurement for parameter of chromatography spike and area of overlapped peak |
| CN103389352A (en) * | 2013-07-25 | 2013-11-13 | 上海申瑞继保电气有限公司 | Method for smoothing chromatographic data of oil gas |
| CN105067732A (en) * | 2015-07-07 | 2015-11-18 | 天津大学 | Overlapped chromatographic peak quantitative method based on second-order Gaussian function fitting |
| CN106442830A (en) * | 2016-09-29 | 2017-02-22 | 广州供电局有限公司 | Method and system for detecting alarm value of gas content of transformer oil |
| CN106770861A (en) * | 2016-11-21 | 2017-05-31 | 浙江大学 | The evaluation method of oil-filled transformer on-line monitoring availability of data |
-
2018
- 2018-08-23 CN CN201810966041.4A patent/CN108982732A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH10170492A (en) * | 1996-12-09 | 1998-06-26 | Jasco Corp | Apparatus for measuring time-developed spectrum |
| CN1712955A (en) * | 2004-06-25 | 2005-12-28 | 中国科学院大连化学物理研究所 | Precisive measurement for parameter of chromatography spike and area of overlapped peak |
| CN103389352A (en) * | 2013-07-25 | 2013-11-13 | 上海申瑞继保电气有限公司 | Method for smoothing chromatographic data of oil gas |
| CN105067732A (en) * | 2015-07-07 | 2015-11-18 | 天津大学 | Overlapped chromatographic peak quantitative method based on second-order Gaussian function fitting |
| CN106442830A (en) * | 2016-09-29 | 2017-02-22 | 广州供电局有限公司 | Method and system for detecting alarm value of gas content of transformer oil |
| CN106770861A (en) * | 2016-11-21 | 2017-05-31 | 浙江大学 | The evaluation method of oil-filled transformer on-line monitoring availability of data |
Non-Patent Citations (3)
| Title |
|---|
| "简单但不平凡"（C914620529）: "《CSDN博客》", 25 December 2015 * |
| AGILENT TECHNOLOGIES, INC.: "《Technical Note》", 31 December 2005 * |
| 涂佳丽 等: "基于液相色谱的糖化血红蛋白浓度的检测", 《微计算机信息》 * |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109682907A (en) * | 2019-01-14 | 2019-04-26 | 华中科技大学 | A method of it is demanded perfection the first dimension chromatographic peak in two-dimensional chromatography by two modulation peaks |
| CN109917061A (en) * | 2019-03-11 | 2019-06-21 | 嘉兴迈维代谢生物科技有限公司 | A kind of method of quick point in wide target metabolism group |
| CN112444589A (en) * | 2020-12-04 | 2021-03-05 | 深圳普门科技股份有限公司 | Chromatographic peak detection method, device, computer equipment and storage medium |
| CN112444589B (en) * | 2020-12-04 | 2021-10-08 | 深圳普门科技股份有限公司 | Chromatographic peak detection method, device, computer equipment and storage medium |
| WO2022116673A1 (en) * | 2020-12-04 | 2022-06-09 | 深圳普门科技股份有限公司 | Chromatographic peak detection method and apparatus, computer device, and storage medium |
| CN113419020A (en) * | 2021-06-30 | 2021-09-21 | 成都师范学院 | Glycated hemoglobin overlapping peak recognition method, apparatus, system, device, and medium |
| CN114002367A (en) * | 2021-10-15 | 2022-02-01 | 无锡博慧斯生物医药科技有限公司 | Algorithm of chromatographic peak area of high-efficiency liquid-phase glycosylated hemoglobin |
| CN114002367B (en) * | 2021-10-15 | 2023-05-09 | 无锡博慧斯生物医药科技有限公司 | Algorithm for high performance liquid glycosylated hemoglobin chromatographic peak area |
| CN114431856A (en) * | 2022-01-28 | 2022-05-06 | 上海乾康医疗设备股份有限公司 | Neural feedback rehabilitation training system |
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