CN112461782B - Spectrum correction technology based on GSA near-infrared spectrometer - Google Patents
Spectrum correction technology based on GSA near-infrared spectrometer Download PDFInfo
- Publication number
- CN112461782B CN112461782B CN201910985945.6A CN201910985945A CN112461782B CN 112461782 B CN112461782 B CN 112461782B CN 201910985945 A CN201910985945 A CN 201910985945A CN 112461782 B CN112461782 B CN 112461782B
- Authority
- CN
- China
- Prior art keywords
- spectrum
- wavelength
- range
- spectral
- absorbance
- 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.)
- Active
Links
- 238000001228 spectrum Methods 0.000 title claims abstract description 52
- 238000005516 engineering process Methods 0.000 title claims abstract description 19
- 238000012937 correction Methods 0.000 title claims abstract description 13
- 230000003595 spectral effect Effects 0.000 claims abstract description 51
- 238000002835 absorbance Methods 0.000 claims abstract description 36
- 230000002159 abnormal effect Effects 0.000 claims abstract description 17
- 238000000034 method Methods 0.000 claims abstract description 8
- 238000001514 detection method Methods 0.000 abstract description 15
- 239000000463 material Substances 0.000 description 8
- 238000004458 analytical method Methods 0.000 description 5
- 238000002329 infrared spectrum Methods 0.000 description 4
- 230000005484 gravity Effects 0.000 description 3
- 238000012544 monitoring process Methods 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 239000000126 substance Substances 0.000 description 2
- 238000012271 agricultural production Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- PCHJSUWPFVWCPO-UHFFFAOYSA-N gold Chemical compound [Au] PCHJSUWPFVWCPO-UHFFFAOYSA-N 0.000 description 1
- 239000010931 gold Substances 0.000 description 1
- 229910052737 gold Inorganic materials 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
- G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light
- G01N21/359—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light using near infrared light
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/01—Arrangements or apparatus for facilitating the optical investigation
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)
- Spectroscopy & Molecular Physics (AREA)
- Investigating Or Analysing Materials By Optical Means (AREA)
- Spectrometry And Color Measurement (AREA)
Abstract
The invention discloses a spectrum correction technology based on a GSA (golden SpectraAnalyzer) near-infrared spectrometer, mainly relates to the technical field of spectrum detection, and comprises the following steps of self-defining a spectrum wavelength point N in a wavelength range; calculating the threshold range of the spectral absorbance of the wavelength point, firstly judging the abnormal spectrum and the normal spectrum, selecting the wavelength point, finding out the maximum value and the minimum value of the normal spectral absorbance, and taking the range of the maximum value and the minimum value as the threshold range M of the spectral absorbance under the wavelength point; in the wavelength range, customizing a spectrum wavelength point N +1 by user, repeating the step two, and obtaining a threshold value range M +1 of the spectrum absorbance under the wavelength point; the method comprises the steps of obtaining a threshold range A of spectral absorbance by taking the intersection of wavelength points N, N +1 \8230, lower spectral absorbance threshold ranges M and M +1 \8230and \8230, and obtaining a spectrum in the threshold range A of the spectral absorbance, namely a preset spectrum, so as to improve the identification rate of abnormal spectra.
Description
Technical Field
The invention mainly relates to the technical field of spectrum detection, in particular to a spectrum correction technology based on a GSA near-infrared spectrometer.
Background
The near infrared wavelength range is 780nm-2526nm, which is an electromagnetic wave between visible light and medium-wave infrared. The near infrared spectrum analysis technology is a key technology capable of effectively analyzing different material materials. In recent years, the technology is rapidly developed, and the near infrared spectrum analysis technology also relies on the special detection advantages of the near infrared spectrum analysis technology: the detection is simple and convenient, has no damage, is efficient and quick, has no pollution, has rich information content, can carry out real-time online analysis and the like, and is widely applied to the fields of scientific experiments, industrial manufacturing, agricultural production, petrochemical industry, food safety detection, pharmaceutical monitoring, human body monitoring and the like.
A GSA (golden SpectraAnalyzer) gold light series near-infrared analyzer independently developed by Kimber auspicious adopts an international advanced chip-level light splitting module, the signal-to-noise ratio is 3 times of that of a linear array spectrometer, and a light splitting system has no moving part and high stability, so that the GSA is an ideal choice for online analysis. At present, the gravity sensor is mostly adopted for detecting the mixing uniformity of materials, the sensor can be well applied to one-dimensional detection, two-dimensional and three-dimensional detection needs a plurality of gravity sensors for simultaneous measurement, the processing of detection data is very complicated, and the error of the acquired spectral data is very large. The problem that a gravity sensor is complex in two-dimensional and three-dimensional detection data processing and large in error can be solved by using a GSA-based near infrared spectrometer for detecting the mixing uniformity of materials, but a correction technology of a near infrared spectrum is yet to be developed.
Disclosure of Invention
In view of the shortcomings and drawbacks of the prior art, the present invention provides a spectrum correction technique based on a GSA near-infrared spectrometer.
In order to solve the technical problem, the invention adopts the following technical scheme: a spectrum correction technology based on a GSA near infrared spectrometer is characterized in that: comprises the following steps of (a) preparing a solution,
the method comprises the following steps: self-defining a spectrum wavelength point N in a wavelength range;
step two: calculating the threshold range of the spectral absorbance of the wavelength point, firstly judging the abnormal and normal spectrums, selecting the wavelength point, finding out the maximum value and the minimum value of the normal spectral absorbance, and taking the range of the maximum value and the minimum value as the threshold range M of the spectral absorbance at the wavelength point;
step three: in the wavelength range, customizing a spectrum wavelength point N +1, repeating the second step, and obtaining a threshold range M +1 of the spectrum absorbance under the wavelength point;
step four: the wavelength points N and N +1 \8230, the lower spectral absorbance threshold ranges M and M +1 \8230, the intersection set is adopted to obtain the spectral absorbance threshold range A, and the spectrum in the spectral absorbance threshold range A is taken as the preset spectrum, so that the abnormal spectrum recognition rate is improved.
As a further improvement of the method, when the abnormal spectrum and the normal spectrum are judged, a sample is measured for multiple times, a spectral band appears, spectral lines deviating from the spectral band are considered to be the abnormal spectrum, and spectral lines of the concentrated spectral band are considered to be the normal spectrum.
Compared with the prior art, the invention has the following beneficial effects: the spectral correction technology based on the GSA near-infrared spectrometer can further reduce the spectral range constraint, thereby improving the resolution of the near-infrared spectrometer on abnormal spectra and improving the two-dimensional and three-dimensional detection precision of the material mixing uniformity, and meanwhile, the spectral correction technology is not only suitable for detecting the material mixing uniformity, but also can be used for online detection of all substances applying the near-infrared spectrometer detection technology.
Detailed Description
For better understanding of the technical solutions and advantages of the present invention, the following detailed description of the present invention is provided with specific embodiments, it should be understood that the specific embodiments described herein are only for understanding the present invention and are not intended to limit the present invention, and all other embodiments obtained by those of ordinary skill in the art without creative efforts will fall within the protection scope of the present invention.
The method comprises the following steps: self-defining a spectrum wavelength point N in a wavelength range;
step two: calculating the threshold range of the spectral absorbance of the wavelength point, firstly judging the abnormal and normal spectrums, selecting the wavelength point, finding out the maximum value and the minimum value of the normal spectral absorbance, and taking the range of the maximum value and the minimum value as the threshold range M of the spectral absorbance at the wavelength point;
step three: in the wavelength range, customizing a spectrum wavelength point N +1 by user, repeating the step two, and obtaining a threshold value range M +1 of the spectrum absorbance under the wavelength point;
step four: the method comprises the steps of obtaining a threshold range A of spectral absorbance by taking the intersection of wavelength points N, N +1 \8230, lower spectral absorbance threshold ranges M and M +1 \8230and \8230, and obtaining a spectrum in the threshold range A of the spectral absorbance, namely a preset spectrum, so as to improve the identification rate of abnormal spectra.
The near infrared wavelength range is 780nm-2526nm, the selected wavelength range is 1550nm-1950nm,
the method comprises the following steps: within the wavelength range, custom spectral wavelength points 1550;
step two: calculating the threshold range of the spectral absorbance of the wavelength point, firstly judging the abnormal and normal spectrums, selecting the wavelength point, finding out the maximum value 0.3 and the minimum value 0.1 of the normal spectral absorbance, and taking {0.1 and 0.3} as the threshold ranges {0.1 and 0.3} of the spectral absorbance under the wavelength point;
step three: defining the spectral wavelength points 1650, 1750, 1850 and 1950 in the wavelength range by self, and repeating the second step respectively to obtain threshold ranges of spectral absorbance at the wavelength points {0.12 and 0.35} {0.08 and 0.3}, {0.11 and 0.28}, {0.1 and 0.35};
step four: the threshold ranges of the spectral absorbances {0.1, 0.3}, {0.12, 0.35}, {0.08, 0.3}, {0.11, 0.28}, {0.1, 0.35} under the wavelength points 1550, 1650, 1750, 1850, 1950 are intersected to obtain the threshold ranges of the spectral absorbances {0.12, 0.28}, and the spectrums in the threshold ranges of the spectral absorbances {0.12, 0.28} are preset spectrums, so that the identification rate of the abnormal spectrums is improved.
Through selecting a plurality of wavelength points, threshold range setting of the absorbance value is carried out, abnormal spectra can not appear in the range of 1550nm-1950nm finally, the spectral correction technology based on the GSA near infrared spectrometer can further make the spectral range constraint smaller, thereby improving the resolution ratio of the near infrared spectrometer to the abnormal spectra, improving the two-dimensional and three-dimensional detection precision of the material mixing uniformity, meanwhile, the spectral correction technology is not only suitable for detecting the material mixing uniformity, and all substances applying the near infrared spectrometer detection technology can adopt the spectral correction technology for online detection.
Claims (1)
1. A spectrum correction technology based on a GSA near-infrared spectrometer is characterized in that: comprises the following steps of (a) carrying out,
the method comprises the following steps: self-defining a spectrum wavelength point N in a wavelength range;
step two: calculating the threshold range of the spectral absorbance of the wavelength point, judging the abnormal and normal spectrums, selecting the wavelength point, finding the maximum value and the minimum value of the normal spectral absorbance, taking the range of the maximum value and the range of the minimum value as the threshold range M of the spectral absorbance at the wavelength point, and when judging the abnormal and normal spectrums, measuring the sample for multiple times to generate a spectral band, wherein the spectral line deviating from the spectral band is regarded as the abnormal spectrum, and the spectral line of the concentrated spectral band is regarded as the normal spectrum;
step three: in the wavelength range, customizing a spectrum wavelength point N +1, repeating the second step, and obtaining a threshold range M +1 of the spectrum absorbance under the wavelength point;
step four: the wavelength points N and N +1 \8230, the lower spectral absorbance threshold ranges M and M +1 \8230, the intersection set is adopted to obtain the spectral absorbance threshold range A, and the spectrum in the spectral absorbance threshold range A is taken as the preset spectrum, so that the abnormal spectrum recognition rate is improved.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910985945.6A CN112461782B (en) | 2019-10-17 | 2019-10-17 | Spectrum correction technology based on GSA near-infrared spectrometer |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910985945.6A CN112461782B (en) | 2019-10-17 | 2019-10-17 | Spectrum correction technology based on GSA near-infrared spectrometer |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112461782A CN112461782A (en) | 2021-03-09 |
| CN112461782B true CN112461782B (en) | 2022-11-01 |
Family
ID=74807012
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910985945.6A Active CN112461782B (en) | 2019-10-17 | 2019-10-17 | Spectrum correction technology based on GSA near-infrared spectrometer |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112461782B (en) |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2006112996A (en) * | 2004-10-18 | 2006-04-27 | Yokogawa Electric Corp | Near-infrared spectroscopic analyzer |
| EP1726929A1 (en) * | 2004-03-03 | 2006-11-29 | National Food Research Institute | Method for standardizing system response of spectrophotometer |
| CN101832921A (en) * | 2009-03-10 | 2010-09-15 | 承德颈复康药业集团有限公司 | Method for on-linly detecting and controlling two-dimensional mixing homogeneous degree of traditional Chinese medicine powder by near infrared |
| CN102192889A (en) * | 2010-03-08 | 2011-09-21 | 上海富科思分析仪器有限公司 | Correction method for UV-visible absorption spectrum of fiber in-situ medicine leaching degree/releasing degree tester |
| CN103728267A (en) * | 2014-01-17 | 2014-04-16 | 华东理工大学 | Method for correcting baseline of spectrogram in near infrared analysis of gasoline |
| CN104020124A (en) * | 2014-05-29 | 2014-09-03 | 暨南大学 | Spectral wavelength screening method based on preferential absorptivity |
| CN105891147A (en) * | 2016-03-30 | 2016-08-24 | 浙江中烟工业有限责任公司 | Near infrared spectrum information extraction method based on canonical correlation coefficients |
| CN107421907A (en) * | 2017-09-01 | 2017-12-01 | 中国科学院合肥物质科学研究院 | The automatic baseline correction method of infrared spectrum |
| WO2018010352A1 (en) * | 2016-07-11 | 2018-01-18 | 上海创和亿电子科技发展有限公司 | Qualitative and quantitative combined method for constructing near infrared quantitative model |
| CN108827910A (en) * | 2018-06-13 | 2018-11-16 | 深圳市华慧品牌管理有限公司 | The method for building up of fruit processed safely time prediction model |
| CN110064229A (en) * | 2013-03-04 | 2019-07-30 | 株式会社岛津制作所 | Prepare chromatogram arrangement |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR101361875B1 (en) * | 2005-05-26 | 2014-02-12 | 가부시키가이샤 니콘 | Method for detecting polishing end in cmp polishing device, cmp polishing device, and semiconductor device manufacturing method |
-
2019
- 2019-10-17 CN CN201910985945.6A patent/CN112461782B/en active Active
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP1726929A1 (en) * | 2004-03-03 | 2006-11-29 | National Food Research Institute | Method for standardizing system response of spectrophotometer |
| JP2006112996A (en) * | 2004-10-18 | 2006-04-27 | Yokogawa Electric Corp | Near-infrared spectroscopic analyzer |
| CN101832921A (en) * | 2009-03-10 | 2010-09-15 | 承德颈复康药业集团有限公司 | Method for on-linly detecting and controlling two-dimensional mixing homogeneous degree of traditional Chinese medicine powder by near infrared |
| CN102192889A (en) * | 2010-03-08 | 2011-09-21 | 上海富科思分析仪器有限公司 | Correction method for UV-visible absorption spectrum of fiber in-situ medicine leaching degree/releasing degree tester |
| CN110064229A (en) * | 2013-03-04 | 2019-07-30 | 株式会社岛津制作所 | Prepare chromatogram arrangement |
| CN103728267A (en) * | 2014-01-17 | 2014-04-16 | 华东理工大学 | Method for correcting baseline of spectrogram in near infrared analysis of gasoline |
| CN104020124A (en) * | 2014-05-29 | 2014-09-03 | 暨南大学 | Spectral wavelength screening method based on preferential absorptivity |
| CN105891147A (en) * | 2016-03-30 | 2016-08-24 | 浙江中烟工业有限责任公司 | Near infrared spectrum information extraction method based on canonical correlation coefficients |
| WO2018010352A1 (en) * | 2016-07-11 | 2018-01-18 | 上海创和亿电子科技发展有限公司 | Qualitative and quantitative combined method for constructing near infrared quantitative model |
| CN107421907A (en) * | 2017-09-01 | 2017-12-01 | 中国科学院合肥物质科学研究院 | The automatic baseline correction method of infrared spectrum |
| CN108827910A (en) * | 2018-06-13 | 2018-11-16 | 深圳市华慧品牌管理有限公司 | The method for building up of fruit processed safely time prediction model |
Non-Patent Citations (3)
| Title |
|---|
| MIV方法在苹果糖度近红外分析中的应用;陈鑫等;《计算机与应用化学》;20120728(第07期);全文 * |
| 一种高锌背景下痕量钴离子浓度分光光度测量法;朱红求等;《光谱学与光谱分析》;20171215(第12期);全文 * |
| 基于吸光度的波长筛选方法用于近红外光谱定量模型的优化;梁瑜;《电子测试》;20161105(第21期);全文 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112461782A (en) | 2021-03-09 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Dyrby et al. | Chemometric quantitation of the active substance (containing C≡ N) in a pharmaceutical tablet using near-infrared (NIR) transmittance and NIR FT-Raman spectra | |
| CN103411906B (en) | The near infrared spectrum qualitative identification method of pearl powder and oyster shell whiting | |
| CN108241033B (en) | Method for rapidly detecting content of 6 quality index substances in radix ophiopogonis alcohol extract and application | |
| Sohrabi et al. | The application of continuous wavelet transform and least squares support vector machine for the simultaneous quantitative spectrophotometric determination of Myricetin, Kaempferol and Quercetin as flavonoids in pharmaceutical plants | |
| CN110646407A (en) | Method for rapidly detecting content of phosphorus element in aquatic product based on laser-induced breakdown spectroscopy technology | |
| CN105486662A (en) | Cottonseed gossypol content non-destructive measurement method based on near-infrared spectrum technology | |
| CN104568909A (en) | Method for detecting content of dicyandiamide in milk based on surface enhanced Raman scattering technology | |
| CN110596074B (en) | Dynamics research method for sucrose hydrolysis reaction process | |
| CN112461782B (en) | Spectrum correction technology based on GSA near-infrared spectrometer | |
| CN102028710B (en) | Method for measuring contents of indole alkaloids in cinobufagin alcohol precipitation liquid | |
| Dai et al. | On-line UV-NIR spectroscopy as a process analytical technology (PAT) tool for on-line and real-time monitoring of the extraction process of Coptis Rhizome | |
| CN115290593A (en) | Near infrared spectrum technology-based soil organic matter rapid detection method and device | |
| CN111948321A (en) | Method for evaluating aroma components of millets of different varieties based on gas phase ion mobility spectrometry | |
| CN106226267B (en) | A kind of near-infrared assay method of dry chili color value | |
| CN108051396A (en) | A kind of rapid detection method of Xin Ke Shu ' tablet for treating coronary heart disease active constituent content | |
| CN106872396B (en) | A kind of method of difference nir instrument measurement grape pol model conversion | |
| Yang et al. | Determination of total steroid saponins in different species of Paris using FTIR combined with chemometrics | |
| Yahaya et al. | Visible spectroscopy calibration transfer model in determining pH of Sala mangoes | |
| CN105588818A (en) | Near-infrared determination method for content of gossypol in cottonseed powder | |
| Guo et al. | Nondestructive estimation of total free amino acid in green tea by near infrared spectroscopy and artificial neural networks | |
| CN105466878B (en) | A method of utilizing lycopene in infrared spectrum measurement catsup | |
| CN103398966A (en) | Method for detecting TMC concentration in organic solution by using spectrometer | |
| CN114323507A (en) | Penicillin bottle sealing integrity measuring device and method | |
| Misal et al. | Application of near-infrared spectrometer in agro-food analysis: A review | |
| CN113640245A (en) | Method for detecting beta-carotene, astaxanthin and starch in haematococcus pluvialis under nitrogen stress |
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 |