CN109030428A - The rapid detection method of soil potassium element based on conllinear double-pulse laser induced breakdown spectrum - Google Patents
The rapid detection method of soil potassium element based on conllinear double-pulse laser induced breakdown spectrum Download PDFInfo
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- G—PHYSICS
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- 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
- G01N21/62—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
- G01N21/71—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light thermally excited
- G01N21/718—Laser microanalysis, i.e. with formation of sample plasma
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- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
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- G01N21/62—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
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- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
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- G01N1/28—Preparing specimens for investigation including physical details of (bio-)chemical methods covered elsewhere, e.g. G01N33/50, C12Q
- G01N1/286—Preparing specimens for investigation including physical details of (bio-)chemical methods covered elsewhere, e.g. G01N33/50, C12Q involving mechanical work, e.g. chopping, disintegrating, compacting, homogenising
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Abstract
The invention discloses a kind of rapid detection methods of soil potassium element based on conllinear double-pulse laser induced breakdown spectrum, comprising: contains the soil sample of N number of potassium concn than mixed method preparation by multiple standards soil and its two-by-two etc.；Then the instrument parameter of dipulse LIBS system is optimized, and acquires the LIBS spectral line of soil tabletting sample；To spectroscopic data after pretreatment, K I 693.9nm, K I 766.88nm is selected, signal at K I 769.90nm is as input value, potassium element concentration establishes the Multivariable regressive analysis model of soil sample potassium content prediction, the prediction coefficient of determination R of model as output valve in sample2Reach 0.966.The present invention realizes the quick detection of rapid determination of content of cadmium element in soil, has the features such as easy to operate, at low cost；Simultaneously because the signal enhancing effect of conllinear dipulse, the detection accuracy of this method is higher, can provide reference to develop portable Soil Heavy Metal Elements Content detecting instrument.
Description
Technical field
The present invention relates to soil nutrient elements detection techniques, more particularly to one kind to be based on conllinear double-pulse laser induced breakdown
The detection method of the soil potassium element of spectrum.
Background technique
Soil nutrient elements are able to reflect the fertility of soil, influence crop yield and quality.Wherein, potassium element can promote to make
The photosynthesis of object improves chloroplast structure, improves crop quality.But soil potassium content is excessively high to will cause the wasting of resources, soil
Environmental pollution causes soil nutrient distribution unbalance.Therefore, to the quantitative detection of potassium element in soil for plant growth and soil
Pollution control has great significance.Currently, the method that predominantly detects of potassium element has atomic absorption method, inductive coupling etc. in soil
Gas ions mass spectrography, the chemical detection methods such as inductively coupled plasma atomic emission spectrometry, although the inspection of these methods is accurate
Degree is high, but needs to consume chemical reagent and carry out resolution processing to sample, requires high, detection process to the professional degree of operator
Complexity, period are longer, cannot achieve the efficient, accurate of soil potassium element, real-time detection.
Laser induced breakdown spectrograph (Laser-Induced Breakdown Spectroscopy, LIBS) utilizes pulse
Laser ablation sample generates the specific spectral signal of plasma emission, passes through the light for the plasma emission that spectrometer obtains
The analysis of element composition and content in sample may be implemented in spectrum.But the problem of the higher always LIBS technology of Element detection limit.
Therefore, LIBS Signal Enhanced Technology becomes the focus of domestic and foreign scholars.LIBS signal enhancing skill based on conllinear dipulse
Art is that current effect is preferable, using more one of Signal Enhanced Technology.Using conllinear double-pulse laser induced breakdown spectrum skill
Art can fast and accurately obtain soil potassium content, be conducive to plant growth and environmental monitoring.
Summary of the invention
The invention discloses a kind of rapid detection method of soil nutrient elements, realizes and lured based on conllinear double-pulse laser
Quick detection of the breakdown spectral to soil potassium element is led, there is the features such as easy to operate, testing cost is low, and accuracy is high.
The specific technical solution of the present invention is as follows:
A kind of rapid detection method of the soil potassium element based on conllinear double-pulse laser induced breakdown spectrum, including step
It is rapid:
1) soil sample containing potassium of N number of gradient is made, and press sheet compression is made, potassium element concentration is denoted as Y in sample；
2) X is denoted as using the LIBS spectroscopic data of double-pulse laser acquisition soil sample containing potassium；
3) potassium element pair is found out in conjunction with wavelength and the one-to-one relationship of element according to LIBS spectroscopic data X data and curves
The wavelength answered；
4) LIBS spectroscopic data X is pre-processed, pretreated data be X1, extracted in X1 in step 3)
The corresponding spectroscopic data X2 of potassium element wavelength；Gained spectroscopic data (X2, Y) is drawn in the ratio of 2:1 using X-Y co-occurrence matrix method
It is divided into modeling collection and forecast set；
5) respectively to model the X2 concentrated as input, Y is to export, establish in soil sample potassium element concentration with it is corresponding
The multivariate linear regression analysis model of LIBS the intensity of spectral line:
Y=0.0013X1-0.0003X2+0.0003X3+15.0809
Wherein, Y be sample in potassium element actual content, X1, X2, X3 be respectively 693.9nm corresponding with potassium element,
766.88nm, the signal strength of 769.90nm；
The Quantitative Analysis Model that X2 in forecast set is brought into foundation obtains the prediction concentrations of potassium element in sample.
In step 1), it is mixed with the soil sample containing potassium using weight such as different soils, potassium element is dense in soil
Degree is respectively 17.51mgg-1、21.91mg·g-1、20.58mg·g-1、18.92mg·g-1、18.09mg·g-1、
19.67mg·g-1。
In the technical program, six kinds of soil of preparation soil sample containing potassium are respectively Inner Mongol Hangjin Rear Banner saline-alkali soil
(GBW07447), Zhejiang Province Xiangshan East Sea Tidal Flat Sediments (GBW7452), Yangjiang city's South Beach deposit
(GBW7453), Shaanxi Province's Luochuan Loess (GBW7454), Anhui Wu He Sediments from Huaihe River (GBW7455), Jiangsu Province Zhangjiagang are clear
River deposit (GBW7456).
In step 1), soil sample containing potassium is made to the rectangular press sheet compression of equal-specification, every tablet quality is 0.5g, each
Gradient prepares 3 tabletting samples.
In step 2), the parameter of laser induced breakdown spectrograph is optimized, obtained optimized parameter are as follows: the first beam
Laser energy is 25mJ；Second beam laser energy is 75mJ；Optical maser wavelength is 532nm；Delay time is 6us；The time of integration is
10us, pulse spacing 1.2us.Under the conditions of optimized parameter, the average signal-to-noise ratio of 3 spectral line single pulse signals of potassium element in sample
(ratio of signal and noise) is minimum to have reached 124.30, and the average signal-to-noise ratio of dipulse signal is minimum to have reached 245.69, letter
It number can obviously be distinguished with noise.
In step 4), noise reduction process is carried out using small wave converting method, small echo odd function is db4, and the number of plies is set as 3.
In step 4), sample is divided using SPXY method (X-Y co-occurrence matrix method).First institute when specific method
Some samples all regard modeling collection candidate samples as, then using two farthest vectors of the method choice Euclidean distance of iteration into
Enter modeling collection, until selecting required number of samples.Its range formula is as follows:
Wherein, dxy(m, n) is Euclidean distance, dx(m, n) is spectrum intervals, dy(m, n) is physicochemical property characteristic distance.
The present invention uses SPXY method when sample divides, while considering the spectral signature and physicochemical property feature of sample,
The predictive ability of model can be improved.
In step 5), according to the characteristic wavelength that U.S.'s NIST atomic spectra database and pilot system are demarcated, for building
The characteristic spectral line of the potassium element of formwork erection type are as follows: K I 693.9nm, K I 766.88nm, K I 769.90nm.
Compared with the existing technology, the invention has the advantages that:
(1) quantitative detection of soil potassium element is realized.
(2) Potassium in Soils Element detection is carried out using the LIBS technology based on conllinear dipulse, there is easy to operate, cost
The features such as low, quickly, efficiently and accurately；It is complicated effectively to overcome traditional detection method program, higher cost is big etc. to sample broke
Disadvantage.
(3) representative potassium element wavelength has been selected, the exploitation of portable sensor instrument is conducive to.
Detailed description of the invention
Fig. 1 is the Multivariable regressive analysis model prediction result of soil sample potassium element concentration.
Specific embodiment
Below with reference to specific implementation case and Detailed description of the invention, the invention will be further described.
A kind of rapid detection method of the soil potassium element based on conllinear double-pulse laser induced breakdown spectrum, comprising:
(1) sample preparation.The pedotheque purchase that this research uses is in the standard soil sample of the China Measures Institute, and six kinds
Soil is respectively Inner Mongol Hangjin Rear Banner saline-alkali soil (GBW07447), Zhejiang Province Xiangshan East Sea Tidal Flat Sediments (GBW7452), wide
East saves Yangjiang City South Beach deposit (GBW7453), Shaanxi Province's Luochuan Loess (GBW7454), Anhui Wu He Sediments from Huaihe River
(GBW7455), Jiangsu Province Zhangjiagang Chengjiang deposit (GBW7456).It is more dense in order to be obtained using existing six kinds of soil
Gradient is spent, is mixed to get the potassium element soil-like containing 21 concentration gradients two-by-two using six kinds and six kinds of pedotheque equivalent
This.The concentration of potassium element is respectively as follows: 17.51mgg in 6 kinds of standard soil samples-1、21.91mg·g-1、20.58mg·g-1、
18.92mg·g-1、18.09mg·g-1、19.67mg·g-1.Being fabricated to specification using tablet press machine (10MPa pressure continues 30s) is
10mm × 10mm × 2mm square sample, every tablet quality are 0.5g.Each concentration prepares 3 samples, and 63 soil pressures are obtained
Piece sample is for testing.
(2) the LIBS spectral signal of collecting sample.Laboratory apparatus preheating 30min is reached into stable state before experiment.
According to the first beam laser energy 25mJ, the second beam laser energy 75mJ, optical maser wavelength 532nm, delay time 6us, the time of integration
10us, the pulse spacing, 1.2us was configured instrument parameter.Sample is placed in displacement platform, adjustment programme sets displacement platform
Movement routine, open laser, recall two beam laser, guarantee to hit laser under the conditions of the impact position of two beam laser is consistent
The different points of 16 originally that draw a design, each point accumulation 5 spectral signals of acquisition.
(3) according to original LIBS spectroscopic data (X) curve, in conjunction with U.S.'s NIST atomic spectra database and pilot system mark
Fixed characteristic wavelength finds out the main feature spectral line of potassium element are as follows: K I693.9nm, K I 766.88nm, K I 769.90nm.
(4) wavelet transformation noise reduction carried out to original LIBS spectroscopic data (X), be averaging pretreatment, process is pretreated
Data are denoted as X1, extracted in X1 with 3) in the corresponding spectroscopic data of potassium element wavelength, be denoted as X2.Using SPXY method according to
The ratio of 2:1 divides sample, obtains modeling collection 42, sample, 21, forecast set sample.
(5) multiple regression is established according to the content of potassium element in the peak strength of potassium element spectral line in modeling collection X2 and sample
Analysis model: Y=0.0013X1-0.0003X2+0.0003X3+15.0809
Wherein, Y is the actual content of potassium element in sample, X1、X2, X3 be respectively 693.9nm corresponding with potassium element,
766.88nm, the signal strength of 769.90nm.
Bring the peak strength of potassium element spectral line in forecast set into potassium element concentration that regression analysis model is predicted, such as
Shown in Fig. 1.The result shows that Determination of Potassium and corresponding conllinear dipulse LIBS the intensity of spectral line linear dependence are preferable, prediction
The fitting coefficient of determination R of collection2Reach 0.969.The above results show that method of the invention can be realized the quick of potassium in soil
Quantitative detection can provide reference for plant growth and environmental monitoring, have a good application prospect.
Claims (7)
1. a kind of rapid detection method of the soil potassium element based on conllinear double-pulse laser induced breakdown spectrum, feature exist
In, comprising steps of
1) soil sample containing potassium of N number of gradient is made, and press sheet compression is made, potassium element concentration is denoted as Y in sample；
2) X is denoted as using the LIBS spectroscopic data of double-pulse laser acquisition soil sample containing potassium；
3) it is corresponding to find out potassium element in conjunction with wavelength and the one-to-one relationship of element according to LIBS spectroscopic data X data and curves
Wavelength；
4) LIBS spectroscopic data X is pre-processed, pretreated data are X1, are extracted in X1 and potassium member in step 3)
The corresponding spectroscopic data X2 of plain wavelength；It is by the ratio cut partition of 2:1 by gained spectroscopic data (X2, Y) using X-Y co-occurrence matrix method
Modeling collection and forecast set；
5) respectively to model the X2 concentrated as input, Y is output, establishes potassium element concentration in soil sample and composes with corresponding LIBS
The multivariate linear regression analysis model of line intensity:
Y=0.0013X1-0.0003X2+0.0003X3+15.0809
Wherein, Y is the actual content of potassium element in sample, X1、X2、X3693.9nm respectively corresponding with potassium element,
766.88nm, the signal strength of 769.90nm；
The Quantitative Analysis Model that X2 in forecast set is brought into foundation obtains the prediction concentrations of potassium element in sample.
2. the quick detection side of the soil potassium element as described in claim 1 based on conllinear double-pulse laser induced breakdown spectrum
Method, which is characterized in that in step 1), be mixed with the soil sample containing potassium, potassium in soil using weight such as different soils
Concentration of element is respectively 17.51mgg-1、21.91mg·g-1、20.58mg·g-1、18.92mg·g-1、18.09mg·g-1、
19.67mg·g-1。
3. the quick detection side of the soil potassium element as described in claim 1 based on conllinear double-pulse laser induced breakdown spectrum
Method, which is characterized in that in step 1), soil sample containing potassium is made to the rectangular press sheet compression of equal-specification, every tablet quality is
0.5g, each gradient prepare 3 tabletting samples.
4. the quick detection side of the soil potassium element as described in claim 1 based on conllinear double-pulse laser induced breakdown spectrum
Method, which is characterized in that in step 2), the parameter of laser induced breakdown spectrograph is optimized, obtained optimized parameter are as follows:
First beam laser energy is 25mJ；Second beam laser energy is 75mJ；Optical maser wavelength is 532nm；Delay time is 6us；Integral
Time is 10us, pulse spacing 1.2us.
5. the quick detection side of the soil potassium element as described in claim 1 based on conllinear double-pulse laser induced breakdown spectrum
Method, which is characterized in that in step 4), pretreatment is carried out to LIBS spectroscopic data X to carry out noise reduction using small wave converting method
Processing, small echo odd function are db4, and the number of plies is set as 3.
6. the quick detection side of the soil potassium element as described in claim 1 based on conllinear double-pulse laser induced breakdown spectrum
Method, which is characterized in that in step 4), when being divided using X-Y co-occurrence matrix method to sample, by all soil-likes containing potassium
This all regards modeling collection candidate samples as, is then modeled using two farthest vectors of the method choice Euclidean distance of iteration to entering
Collection, until selecting required number of samples；Its range formula is as follows:
Wherein, dxy(m, n) is Euclidean distance, dx(m, n) is spectrum intervals, dy(m, n) is physicochemical property characteristic distance.
7. the quick detection side of the soil potassium element as described in claim 1 based on conllinear double-pulse laser induced breakdown spectrum
Method, which is characterized in that in step 5), according to the characteristic wavelength that U.S.'s NIST atomic spectra database and pilot system are demarcated,
For establishing the characteristic spectral line of the potassium element of model are as follows: K I 693.9nm, K I 766.88nm, K I 769.90nm.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110672585A (en) * | 2019-10-25 | 2020-01-10 | 北京农业智能装备技术研究中心 | Method for measuring exchangeable potassium in soil |
| CN111488926A (en) * | 2020-04-07 | 2020-08-04 | 中国科学院南京土壤研究所 | Soil organic matter measuring method based on optimization model |
| CN114894781A (en) * | 2022-05-25 | 2022-08-12 | 中国海洋大学 | Underwater LIBS spectrum standardization generalization method and system based on external signal |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104020143A (en) * | 2014-06-09 | 2014-09-03 | 江西农业大学 | Method for quickly detecting benzopyrene content of edible oil based on collinear double-pulse LIBS (Laser-induced Breakdown Spectroscopy) technique |
| US20140368819A1 (en) * | 2013-06-12 | 2014-12-18 | Applied Research Associates, Inc. | Methods for Detecting Parasites, Viruses, Bacteria and Drugs in Human and Animal Blood and Cerebral Spinal Fluid, Using Laser-Induced Breakdown Spectroscopy |
| CN105092540A (en) * | 2015-06-16 | 2015-11-25 | 江西农业大学 | Method and device for rapid and high-precision detection of content of heavy metal lead in edible oil |
| CN106290309A (en) * | 2016-09-16 | 2017-01-04 | 天津大学 | Device is detected based on LIBS portable variable depth heavy metal content in soil |
| CN107966430A (en) * | 2017-10-18 | 2018-04-27 | 深圳市芭田生态工程股份有限公司 | A kind of method for being used to quickly detect fertilizer nutrient content |
-
2018
- 2018-08-31 CN CN201811011267.5A patent/CN109030428A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140368819A1 (en) * | 2013-06-12 | 2014-12-18 | Applied Research Associates, Inc. | Methods for Detecting Parasites, Viruses, Bacteria and Drugs in Human and Animal Blood and Cerebral Spinal Fluid, Using Laser-Induced Breakdown Spectroscopy |
| CN104020143A (en) * | 2014-06-09 | 2014-09-03 | 江西农业大学 | Method for quickly detecting benzopyrene content of edible oil based on collinear double-pulse LIBS (Laser-induced Breakdown Spectroscopy) technique |
| CN105092540A (en) * | 2015-06-16 | 2015-11-25 | 江西农业大学 | Method and device for rapid and high-precision detection of content of heavy metal lead in edible oil |
| CN106290309A (en) * | 2016-09-16 | 2017-01-04 | 天津大学 | Device is detected based on LIBS portable variable depth heavy metal content in soil |
| CN107966430A (en) * | 2017-10-18 | 2018-04-27 | 深圳市芭田生态工程股份有限公司 | A kind of method for being used to quickly detect fertilizer nutrient content |
Non-Patent Citations (1)
| Title |
|---|
| 吕阳阳: "共线双脉冲及单脉冲激光诱导击穿光谱技术对土壤中营养元素检测对比研究", 《中国优秀硕士学位论文全文数据库 农业科技辑》 * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110672585A (en) * | 2019-10-25 | 2020-01-10 | 北京农业智能装备技术研究中心 | Method for measuring exchangeable potassium in soil |
| CN111488926A (en) * | 2020-04-07 | 2020-08-04 | 中国科学院南京土壤研究所 | Soil organic matter measuring method based on optimization model |
| CN111488926B (en) * | 2020-04-07 | 2024-03-29 | 中国科学院南京土壤研究所 | Soil organic matter determination method based on optimization model |
| CN114894781A (en) * | 2022-05-25 | 2022-08-12 | 中国海洋大学 | Underwater LIBS spectrum standardization generalization method and system based on external signal |
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