CN109781944A - A kind of intelligent chemical analysis system and method for fluid sample - Google Patents
A kind of intelligent chemical analysis system and method for fluid sample Download PDFInfo
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Abstract
The invention belongs to fluid sample analysis technical fields, a kind of intelligent chemical analysis system and method for fluid sample is disclosed, the intelligent chemical analysis system for fluid sample includes: PH detection module, chromatogram acquisition module, quality detection module, Detection of Stability module, main control module, oscillation module, liquid relief module, data memory module, display module.The present invention need to only be analyzed and processed the image of liquid by quality detection module, that is, can determine the quality of liquid, simplify the process of liquid quality detection, improve the speed of liquid quality detection, enrich detection mode；Simultaneously, the TSI distribution probability of a large amount of samples of repeated detection and TSI value are established into the TSI Distribution value state that histogram directly calculates a large amount of fluid samples by Detection of Stability module, the stability index TSI value of fluid sample described in different time is established into intuitive, clear radar map, evaluates the stability of the fluid sample.
Description
Technical field
The invention belongs to fluid sample analysis technical field more particularly to a kind of intelligent chemical analysis for fluid sample
System and method.
Background technique
Chemical analysis refers to the method for determining substance chemical component or composition.Nothing can be divided into according to the property of analyte
Machine analysis and organic analysis.According to the requirement of analysis, qualitative analysis and quantitative analysis can be divided into.According to analyte sample
Quantity can be divided into macro-analysis, semimicro analysis, micro-analysis and ultramicro-analysis.Industrial raw material, semi-products, at
Product, soil agriculturally, fertilizer, feed and fuel, lubricant in communications and transportation etc., in research, trial-production, production or use
During, require applied chemistry analysis.The difference of chemical analysis according to its method of operation, can be classified as titrimetry
(titrimetry) and gravimetric analysis (gravimetry).According to the concentration of titration institute's quota of expenditure solution and volume and it is tested
The chemical reaction quantitative relation that substance and standard solution are carried out finds out the content of measured matter, and this analysis, which is referred to as, to be titrated
Analysis, is also capacity analysis (volumetry).Utilize solution balances of finance, credit, foreign exchanges and materials: soda acid (ionization) balance, redox equilibrium, network
Close (coordination) balance, precipitating dissolution equilibrium.It such as precipitated, volatilized by method appropriate, be electrolysed and be converted into component to be measured separately
A kind of compound of pure, chemical composition fixation and separated with other components in sample, then claim its quality, according to title
The content of obtained Mass Calculation component to be measured, such analysis method are known as gravimetry.Gravimetry be suitable for
The macro-analysis that constituent content is greater than 1% is surveyed, its main feature is that accuracy is high, therefore this method is commonly used for arbitration analysis, but operates
It is troublesome, time-consuming.However, existing fluid sample quality testing mode is single；Meanwhile it cannot intuitively obtain fluid sample stability letter
Breath.
In conclusion problem of the existing technology is: existing fluid sample quality testing mode is single；Meanwhile it cannot
It is intuitive to obtain fluid sample stability information.The pH value error of existing acidometer measurement is larger, and utilizes the color of chromatograph acquisition
Spectrum signal baseline noise is big.
Summary of the invention
In view of the problems of the existing technology, the present invention provides a kind of intelligent chemical analysis systems for fluid sample
And method.
The invention is realized in this way a kind of intelligent chemical analysis method for fluid sample, described to be used for liquid-like
The intelligent chemical analysis method of product includes:
The first step detects fluid sample pH value using the acidometer of configuration electrode slope corrector；Using based on B-spline
The liquid chromatograph of Raman spectrum baseline correction method correction acquires liquid sample chromatogram image；Detect fluid sample mass number
According to；Detect fluid sample stability data；
Second step carries out oscillating operation to fluid sample using oscillator；Using tool arm equipment pipetting head to fluid sample
Carry out mobile burette test operation；
Third step utilizes pH value, the chromatogram image, liquid quality, liquid stability data of memory storage acquisition；It utilizes
PH value, chromatogram image, the liquid quality, liquid stability data of the fluid sample of display display acquisition.
Further, Raman spectrum baseline correction method of the first step based on B-spline is included: and is fitted to calculate using B-spline
Method constantly approaches the baseline of spectral signal by the method for loop iteration；It specifically includes:
(1) the chromatographic signal S of original liquid chromatograph is inputted0, m dimensional vector, and enable it be used as and be fitted signal u0It is initial
Value, i.e. u0=S0；
(2) to u0B-spline fitting is carried out, matched curve u is obtainedn；
(3) compare u0And unEach item size seeks its minimum value and assigns u0；
(4) u is calculatednTo u0Relative error, if more than thresholding ζ, then return step (2), continue cycling through；Otherwise terminate to follow
Ring obtains baseline un；
(5) by baseline unFrom original chromatographic signal S0In subtract, the chromatographic signal S after being correctedcorrect。
Further, the specific method that the configuration electrode slope corrector of the first step corrects acidometer includes: to make
Used time is corrected acidometer sensitivity with two standard solution, makes each px scale and ion selectivity of acidometer
The actual potential number of each px value of electrode is corresponding；The correction of electrode coefficient utilizes the closed loop for adjusting acidometer amplifier
Amplification factor power Af is realized, generallys use successive approximation method；The first standard solution is first measured, adjusts " locator ", makes acid
Degree meter indicating value is the practical px value of the standard solution；Second of standard solution is measured again, and adjusting " electrode coefficient correcting apparatus " makes acid
Degree meter indicating value is the pX value of second of standard solution, and circulation is multiple, the final correction realized to acidometer.
Another object of the present invention is to provide a kind of intelligent chemical analysis methods that fluid sample is used for described in execution
For the intelligent chemical analysis system of fluid sample, the intelligent chemical analysis system for fluid sample includes:
PH detection module, connect with main control module, for detecting fluid sample pH value by acidometer；
Chromatogram acquisition module, connect with main control module, for acquiring liquid sample chromatogram image by liquid chromatograph；
Quality detection module is connect with main control module, for detecting fluid sample qualitative data；
Detection of Stability module, connect with main control module, for detecting fluid sample stability data；
Main control module, with PH detection module, chromatogram acquisition module, quality detection module, Detection of Stability module, oscillation
Module, liquid relief module, data memory module, display module connection, work normally for controlling modules by single-chip microcontroller；
Oscillation module is connect with main control module, for carrying out oscillating operation to fluid sample by oscillator；
Liquid relief module, connect with main control module, carries out mobile titration to fluid sample for equipping pipetting head by tool arm
Test operation；
Data memory module is connect with main control module, for pH value, the chromatogram image, liquid by memory storage acquisition
Weight, liquid stability data；
Display module is connect with main control module, pH value, the chromatogram for the fluid sample by display display acquisition
Picture, liquid quality, liquid stability data.
Another object of the present invention is to provide a kind of intelligent chemical analysis methods that fluid sample is used for described in application
Fluid sample analysis platform.
Advantages of the present invention and good effect are as follows: the present invention need to only divide the image of liquid by quality detection module
Analysis processing, that is, can determine the quality of liquid, simplify the process of liquid quality detection, improve the speed of liquid quality detection,
Abundant detection mode；Meanwhile by Detection of Stability module by the TSI distribution probability of a large amount of samples of repeated detection and TSI value
The TSI Distribution value state that histogram directly calculates a large amount of fluid samples is established, by the stabilization of fluid sample described in different time
Sex index TSI value establishes intuitive, clear radar map, evaluates the stability of the fluid sample.Acidometer configures electrode slope
Corrector can effective acidity correction meter error, improve the measurement accuracy of acidometer；Raman spectrum baseline correction based on B-spline
Method can be fitted the baseline of chromatographic signal, to eliminate baseline drift, improve the precision of signal, eliminate baseline and make an uproar
Sound.
Detailed description of the invention
Fig. 1 is the intelligent chemical analysis system structural schematic diagram provided in an embodiment of the present invention for fluid sample；
Fig. 2 is the intelligent chemical analysis method flow diagram provided in an embodiment of the present invention for fluid sample；
In figure: 1, PH detection module；2, chromatogram acquisition module；3, quality detection module；4, Detection of Stability module；5,
Main control module；6, oscillation module；7, liquid relief module；8, data memory module；9, display module.
Specific embodiment
In order to further understand the content, features and effects of the present invention, the following examples are hereby given, and cooperate attached drawing
Detailed description are as follows.
Structure of the invention is explained in detail with reference to the accompanying drawing.
As shown in Figure 1, the intelligent chemical analysis system provided in an embodiment of the present invention for fluid sample includes: PH detection
Module 1, chromatogram acquisition module 2, quality detection module 3, Detection of Stability module 4, main control module 5, oscillation module 6, liquid relief
Module 7, data memory module 8, display module 9.
PH detection module 1 is connect with main control module 5, for detecting fluid sample pH value by acidometer；
Chromatogram acquisition module 2 is connect with main control module 5, for acquiring liquid sample chromatogram figure by liquid chromatograph
Picture；
Quality detection module 3 is connect with main control module 5, for detecting fluid sample qualitative data；
Detection of Stability module 4 is connect with main control module 5, for detecting fluid sample stability data；
Main control module 5, with PH detection module 1, chromatogram acquisition module 2, quality detection module 3, Detection of Stability module
4, oscillation module 6, liquid relief module 7, data memory module 8, display module 9 connect, for controlling modules by single-chip microcontroller
It works normally；
Oscillation module 6 is connect with main control module 5, for carrying out oscillating operation to fluid sample by oscillator；
Liquid relief module 7 is connect with main control module 5, carries out mobile drop to fluid sample for equipping pipetting head by tool arm
Determine test operation；
Data memory module 8 is connect with main control module 5, for by memory storage acquisition pH value, chromatogram image,
Liquid quality, liquid stability data；
Display module 9 is connect with main control module 5, pH value, chromatography for the fluid sample by display display acquisition
Image, liquid quality, liquid stability data.
3 detection method of quality detection module provided in an embodiment of the present invention is as follows:
(1) liquid sample image is acquired by image pick-up device；
(2) an at least image for liquid to be detected is obtained using image collecting devices such as pick-up lens, flash lamps；Or it obtains
The sample of liquid to be detected is taken, after setting chemical reagent is added in the sample, liquid to be detected is obtained by image collecting device
Sample an at least image；
(3) image recognition is carried out to the image of acquisition when the image of acquisition is an image, determines what image was included
Colouring information；According to image color information, the chromatic value of liquid to be detected is obtained, estimates contained substance in the liquid to be detected
Type；Chromatic value is compared with default chromatic value, determines the levels of contamination of the liquid to be detected；Figure is carried out to image
As identification and edge enhancing processing, the type concentration information of visible particle object in liquid to be detected is determined；Believed according to type concentration
Breath, determines the turbidity information of the liquid to be detected；
When the image of acquisition is continuous two or two images above, by artificial intelligence model, to every image into
Row Time-Series analysis determines the motion information of contained substance in liquid to be detected；According to motion information, determine in liquid to be detected
Being information；Spectrophotometric analysis is carried out to image, obtains corresponding absorption spectrum curve；According to absorption spectrum curve, determine
The type information of contained substance in liquid to be detected.
4 detection method of Detection of Stability module provided in an embodiment of the present invention is as follows:
1) start photodetector, configure detection parameters, fluid sample is detected, the concentration of the fluid sample is obtained
Value α, height value h, sample particle average diameter d；
2) light intensity value of fluid sample is injected by photodetector Scanning Detction near-infrared light source, fluid sample is at least
2ml, the height of the fluid sample of photodetector Scanning Detction are h, and the total height of fluid sample is H, and h is not more than H；
It 3) is the sum of changing value of light intensity of all adjacent twice sweeps and liquid in n according to the scanning times of preset time
The value of the ratio between body sample overall height H calculating fluid sample stability index TSI；Establish includes sample type and concentration, different TSI
It is worth the sample data library of the data such as the incidence relation of corresponding probability；Two or two of sample data lab setting difference sample type
A above TSI probability threshold value, the superiority and inferiority of the fluid sample is judged according to TSI probability threshold value；
In step 2), light intensity value provided in an embodiment of the present invention is to pass through back scattering after near-infrared light source injects fluid sample
The backscattered light intensity values BS of the photodetector detection or transmitted light intensity values T detected by transmitted light detector, the fluid sample
It is placed in sample cell.
As shown in Fig. 2, the intelligent chemical analysis method provided in an embodiment of the present invention for fluid sample includes following step
It is rapid:
S101 detects fluid sample pH value using the acidometer of configuration electrode slope corrector；Utilize the drawing based on B-spline
The liquid chromatograph of graceful spectrum baseline bearing calibration correction acquires liquid sample chromatogram image；Detect fluid sample qualitative data；
Detect fluid sample stability data；
S102 carries out oscillating operation to fluid sample using oscillator；Using tool arm equipment pipetting head to fluid sample into
The mobile burette test operation of row；
S103 utilizes pH value, the chromatogram image, liquid quality, liquid stability data of memory storage acquisition；Using aobvious
Show pH value, chromatogram image, the liquid quality, liquid stability data of the fluid sample of device display acquisition.
In S101, the Raman spectrum baseline correction method provided in an embodiment of the present invention based on B-spline includes:
Using B-spline fitting algorithm, by the method for loop iteration, the baseline of spectral signal is constantly approached；
Its basic step is as follows:
(1) the chromatographic signal S of original liquid chromatograph is inputted0(m dimensional vector), and enable it be used as and be fitted signal u0Just
Initial value, i.e. u0=S0；
(2) to u0B-spline fitting is carried out, matched curve u is obtainedn；
(3) compare u0And unEach item size seeks its minimum value and assigns u0；
(4) u is calculatednTo u0Relative error, if more than thresholding ζ, then return step (2), continue cycling through；Otherwise terminate to follow
Ring obtains baseline un；
(5) by baseline unFrom original chromatographic signal S0In subtract, the chromatographic signal S after being correctedcorrect。
In S101, the specific method packet provided in an embodiment of the present invention for configuring electrode slope corrector and acidometer being corrected
It includes: when in use, acidometer sensitivity being corrected with two standard solution, make each px scale and ion of acidometer
The actual potential number of each px value of electrodes selective is corresponding；The correction of electrode coefficient utilizes adjusting acidometer amplifier
Closed-loop gain power Af realize, generally use successive approximation method；The first standard solution is first measured, " positioning is adjusted
Device " makes the practical px value of the acidometer indicating value standard solution；Second of standard solution is measured again, adjusts " electrode coefficient calibration
Device " makes the pX value of second of standard solution of acidometer indicating value, and circulation repeatedly, finally realizes the correction to acidometer.
When the invention works, firstly, detecting fluid sample pH value using acidometer by PH detection module 1；Pass through chromatography
Figure acquisition module 2 acquires liquid sample chromatogram image using liquid chromatograph；Liquid-like quality is detected by quality detection module 3
Measure data；Fluid sample stability data is detected by Detection of Stability module 4；Secondly, main control module 5 passes through oscillation module 6
Oscillating operation is carried out to fluid sample using oscillator；By liquid relief module 7 using tool arm equip pipetting head to fluid sample into
The mobile burette test operation of row；Then, pH value, the chromatogram image, liquid of memory storage acquisition are utilized by data memory module 8
Weight, liquid stability data；Finally, utilizing pH value, the color of the fluid sample of display display acquisition by display module 9
Spectrogram picture, liquid quality, liquid stability data.
The above is only the preferred embodiments of the present invention, and is not intended to limit the present invention in any form,
Any simple modification made to the above embodiment according to the technical essence of the invention, equivalent variations and modification, belong to
In the range of technical solution of the present invention.
Claims (5)
1. a kind of intelligent chemical analysis method for fluid sample, which is characterized in that the intelligence for fluid sample
Learning analysis method includes:
The first step detects fluid sample pH value using the acidometer of configuration electrode slope corrector；Utilize the Raman based on B-spline
The liquid chromatograph of spectrum baseline bearing calibration correction acquires liquid sample chromatogram image；Detect fluid sample qualitative data；Inspection
Survey fluid sample stability data；
Second step carries out oscillating operation to fluid sample using oscillator；Fluid sample is carried out using tool arm equipment pipetting head
Mobile burette test operation；
Third step utilizes pH value, the chromatogram image, liquid quality, liquid stability data of memory storage acquisition；Utilize display
PH value, chromatogram image, the liquid quality, liquid stability data of the fluid sample of device display acquisition.
2. being used for the intelligent chemical analysis method of fluid sample as described in claim 1, which is characterized in that the first step base
It include:, by the method for loop iteration, constantly to be forced using B-spline fitting algorithm in the Raman spectrum baseline correction method of B-spline
The baseline of dipped beam spectrum signal；It specifically includes:
(1) the chromatographic signal S of original liquid chromatograph is inputted0, m dimensional vector, and enable it be used as and be fitted signal u0Initial value,
That is u0=S0；
(2) to u0B-spline fitting is carried out, matched curve u is obtainedn；
(3) compare u0And unEach item size seeks its minimum value and assigns u0；
(4) u is calculatednTo u0Relative error, if more than thresholding ζ, then return step (2), continue cycling through；Otherwise end loop obtains
Obtain baseline un；
(5) by baseline unFrom original chromatographic signal S0In subtract, the chromatographic signal S after being correctedcorrect。
3. being used for the intelligent chemical analysis method of fluid sample as described in claim 1, which is characterized in that the first step
The specific method that configuration electrode slope corrector corrects acidometer includes: when in use, with two standard solution to acidometer
Sensitivity is corrected, and makes the actual potential number phase of each px value of each px scale and ion selective electrode of acidometer
It is mapped；The correction of electrode coefficient is realized using the closed-loop gain power Af for adjusting acidometer amplifier, is generallyd use
Successive approximation method；The first standard solution is first measured, adjusts " locator ", makes the practical px of the acidometer indicating value standard solution
Value；Second of standard solution is measured again, and adjusting " electrode coefficient correcting apparatus " makes the pX of second of standard solution of acidometer indicating value
Value, circulation repeatedly, finally realize the correction to acidometer.
4. the intelligence for fluid sample that a kind of perform claim requires the 1 intelligent chemical analysis method for fluid sample
Chemical analysis system, which is characterized in that the intelligent chemical analysis system for fluid sample includes:
PH detection module, connect with main control module, for detecting fluid sample pH value by acidometer；
Chromatogram acquisition module, connect with main control module, for acquiring liquid sample chromatogram image by liquid chromatograph；
Quality detection module is connect with main control module, for detecting fluid sample qualitative data；
Detection of Stability module, connect with main control module, for detecting fluid sample stability data；
Main control module, with PH detection module, chromatogram acquisition module, quality detection module, Detection of Stability module, oscillation mode
Block, liquid relief module, data memory module, display module connection, work normally for controlling modules by single-chip microcontroller；
Oscillation module is connect with main control module, for carrying out oscillating operation to fluid sample by oscillator；
Liquid relief module, connect with main control module, carries out mobile burette test to fluid sample for equipping pipetting head by tool arm
Operation；
Data memory module is connect with main control module, for pH value, the chromatogram image, liquid matter by memory storage acquisition
Amount, liquid stability data；
Display module is connect with main control module, for by the pH value of fluid sample of display display acquisition, chromatogram image,
Liquid quality, liquid stability data.
5. a kind of liquid-like using the intelligent chemical analysis method for being used for fluid sample described in claims 1 to 3 any one
Product analysis platform.
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| CN113393539A (en) * | 2021-06-08 | 2021-09-14 | 北方工业大学 | Color mutation identification method for chemical reaction solution |
Citations (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4357668A (en) * | 1980-03-04 | 1982-11-02 | The Perkin-Elmer Corp. | Base line correction method and apparatus |
| JPH0658882A (en) * | 1992-08-05 | 1994-03-04 | Nakano Vinegar Co Ltd | Automatic titrator |
| CN2835995Y (en) * | 2005-11-25 | 2006-11-08 | 国家粮食储备局成都粮食储藏科学研究所 | End point judgment and automatic measuring device for multi-functional titrimeter |
| CN102183520A (en) * | 2011-04-26 | 2011-09-14 | 东北电力大学 | Water hardness on-line measurement device based on solution image technology and measurement method thereof |
| CN102253164A (en) * | 2011-04-26 | 2011-11-23 | 东北电力大学 | Water alkalinity on-line measuring device based on solution image technology and measuring method thereof |
| CN102269740A (en) * | 2011-06-22 | 2011-12-07 | 红云红河烟草(集团)有限责任公司 | Method for simultaneously determining benzoic acid, sorbic acid and salicylic acid in tobacco additive |
| CN202534143U (en) * | 2012-04-01 | 2012-11-14 | 北京边华电化学分析仪器有限公司 | Analytical instrument system with wireless communication function |
| CN105181986A (en) * | 2015-08-24 | 2015-12-23 | 深圳海吉星农产品检测科技中心有限公司 | Pesticide residue detection equipment |
| CN205898783U (en) * | 2016-08-09 | 2017-01-18 | 杭州绿洁水务科技股份有限公司 | Many indexs detect and remove quality of water laboratory |
| CN106383098A (en) * | 2016-02-01 | 2017-02-08 | 北京朗迪森科技有限公司 | Detection method and apparatus for stability of liquid sample |
| CN106645134A (en) * | 2017-02-22 | 2017-05-10 | 王飞 | Color measurement instrument for chemical analysis |
| CN107446972A (en) * | 2017-09-07 | 2017-12-08 | 长沙理工大学 | A kind of monitoring method of two enzymes method production trehalose |
| CN108107005A (en) * | 2016-11-25 | 2018-06-01 | 北京小米移动软件有限公司 | The method and device of liquid quality detection |
| CN108211419A (en) * | 2016-12-22 | 2018-06-29 | 中国科学院沈阳自动化研究所 | Automatic liquid-liquid-liquid extraction method of view-based access control model |
| CN207610912U (en) * | 2017-12-27 | 2018-07-13 | 北京同信天博科技发展有限公司 | A kind of fully automatic liquid sample treatment platform |
| CN108896678A (en) * | 2018-07-18 | 2018-11-27 | 上海实朴检测技术服务有限公司 | The method for measuring the metanilic acid in sewage |
-
2019
- 2019-01-21 CN CN201910051302.4A patent/CN109781944A/en active Pending
Patent Citations (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4357668A (en) * | 1980-03-04 | 1982-11-02 | The Perkin-Elmer Corp. | Base line correction method and apparatus |
| JPH0658882A (en) * | 1992-08-05 | 1994-03-04 | Nakano Vinegar Co Ltd | Automatic titrator |
| CN2835995Y (en) * | 2005-11-25 | 2006-11-08 | 国家粮食储备局成都粮食储藏科学研究所 | End point judgment and automatic measuring device for multi-functional titrimeter |
| CN102183520A (en) * | 2011-04-26 | 2011-09-14 | 东北电力大学 | Water hardness on-line measurement device based on solution image technology and measurement method thereof |
| CN102253164A (en) * | 2011-04-26 | 2011-11-23 | 东北电力大学 | Water alkalinity on-line measuring device based on solution image technology and measuring method thereof |
| CN102269740A (en) * | 2011-06-22 | 2011-12-07 | 红云红河烟草(集团)有限责任公司 | Method for simultaneously determining benzoic acid, sorbic acid and salicylic acid in tobacco additive |
| CN202534143U (en) * | 2012-04-01 | 2012-11-14 | 北京边华电化学分析仪器有限公司 | Analytical instrument system with wireless communication function |
| CN105181986A (en) * | 2015-08-24 | 2015-12-23 | 深圳海吉星农产品检测科技中心有限公司 | Pesticide residue detection equipment |
| CN106383098A (en) * | 2016-02-01 | 2017-02-08 | 北京朗迪森科技有限公司 | Detection method and apparatus for stability of liquid sample |
| CN205898783U (en) * | 2016-08-09 | 2017-01-18 | 杭州绿洁水务科技股份有限公司 | Many indexs detect and remove quality of water laboratory |
| CN108107005A (en) * | 2016-11-25 | 2018-06-01 | 北京小米移动软件有限公司 | The method and device of liquid quality detection |
| CN108211419A (en) * | 2016-12-22 | 2018-06-29 | 中国科学院沈阳自动化研究所 | Automatic liquid-liquid-liquid extraction method of view-based access control model |
| CN106645134A (en) * | 2017-02-22 | 2017-05-10 | 王飞 | Color measurement instrument for chemical analysis |
| CN107446972A (en) * | 2017-09-07 | 2017-12-08 | 长沙理工大学 | A kind of monitoring method of two enzymes method production trehalose |
| CN207610912U (en) * | 2017-12-27 | 2018-07-13 | 北京同信天博科技发展有限公司 | A kind of fully automatic liquid sample treatment platform |
| CN108896678A (en) * | 2018-07-18 | 2018-11-27 | 上海实朴检测技术服务有限公司 | The method for measuring the metanilic acid in sewage |
Non-Patent Citations (6)
| Title |
|---|
| 张文伟 等: "溶液pH 测定值校正新方法", vol. 23, no. 1, pages 61 - 63 * |
| 张文伟, 李晓辉, 玉占君, 汪秀龄: "溶液pH测定值校正新方法", 辽宁师范大学学报(自然科学版), no. 01, 20 March 2000 (2000-03-20), pages 61 - 63 * |
| 张文伟, 李晓辉, 玉占君, 汪秀龄: "溶液pH测定值校正新方法", 辽宁师范大学学报(自然科学版), no. 01, pages 61 - 63 * |
| 范贤光;王海涛;王昕;许英杰;王秀芬;阙靖;: "基于非均匀B样条的拉曼光谱基线校正算法" * |
| 范贤光;王海涛;王昕;许英杰;王秀芬;阙靖;: "基于非均匀B样条的拉曼光谱基线校正算法", 光谱学与光谱分析, vol. 1, no. 03, 15 March 2016 (2016-03-15), pages 724 - 728 * |
| 范贤光;王海涛;王昕;许英杰;王秀芬;阙靖;: "基于非均匀B样条的拉曼光谱基线校正算法", 光谱学与光谱分析, vol. 1, no. 03, pages 725 - 726 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113393539A (en) * | 2021-06-08 | 2021-09-14 | 北方工业大学 | Color mutation identification method for chemical reaction solution |
| CN113393539B (en) * | 2021-06-08 | 2023-05-26 | 北方工业大学 | Color mutation identification method for chemical reaction solution |
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