CN106525761A - Nitrite detection method based on terahertz spectroscopy scanning - Google Patents

Nitrite detection method based on terahertz spectroscopy scanning Download PDF

Info

Publication number
CN106525761A
CN106525761A CN201610977339.6A CN201610977339A CN106525761A CN 106525761 A CN106525761 A CN 106525761A CN 201610977339 A CN201610977339 A CN 201610977339A CN 106525761 A CN106525761 A CN 106525761A
Authority
CN
China
Prior art keywords
detection method
nitrite
tera
nitrite detection
spectra
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.)
Pending
Application number
CN201610977339.6A
Other languages
Chinese (zh)
Inventor
聂鹏程
瞿芳芳
何勇
夏正燕
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Zhejiang University ZJU
Original Assignee
Zhejiang University ZJU
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Zhejiang University ZJU filed Critical Zhejiang University ZJU
Priority to CN201610977339.6A priority Critical patent/CN106525761A/en
Publication of CN106525761A publication Critical patent/CN106525761A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/31Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
    • G01N21/35Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light
    • G01N21/3577Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light for analysing liquids, e.g. polluted water
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/31Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
    • G01N21/35Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light
    • G01N21/3581Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light using far infrared light; using Terahertz radiation

Landscapes

  • Physics & Mathematics (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Health & Medical Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Biochemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Toxicology (AREA)
  • Investigating Or Analysing Materials By Optical Means (AREA)

Abstract

The invention discloses a nitrite detection method based on terahertz spectroscopy scanning. The nitrite detection method includes the steps that (1) samples of a nitrite water solution with the preset concentration range are prepared; (2) the terahertz frequency domain spectral information of all the samples in the wave band range of 0.2 THz to 2.0 THz is obtained; (3) after the terahertz frequency domain spectral information is subjected to de-noising processing, characteristic absorption peaks are extracted; (4) a model between the characteristic absorption peaks and the nitrite water solution concentration is established; (5) the characteristic absorption peaks of to-be-detected water samples are obtained and input the model, and the detection result corresponding to the nitrite concentration is obtained. According to the nitrite detection method, terahertz spectroscopy scanning is adopted, the speed is high, operating is easy, and the problems that the traditional water-body nitrite detection method is tedious in process, slow in speed and the like are solved. As a relationship forecasting mathematical model is established between terahertz spectroscopy and the sodium nitrite content, the high forecasting accuracy can be obtained.

Description

Based on the nitrite detection method that tera-hertz spectra is scanned
Technical field
The present invention relates to water quality, environment, Food Safety Analysis evaluate field, more particularly to it is a kind of using terahertz time-domain light The method that spectrum and frequency domain spectra method determine Nitrite content.
Background technology
Nitrite is the general name of a class inorganic compound, refers mainly to sodium nitrite, and sodium nitrite is soluble in water white Color is to pale yellow powder or graininess.Nitrite is widely present in human environment, is most common nitrogen in nature Compound.Generally believe that now nitrite is a kind of strong blood poisonous substance, and there is potential toxicity and carcinogenic threat, it is right Organism health hazard is very big.Especially in aquaculture field, coastal area aquaculture fast development in recent years, with cultivation The increasing of density and cultivating pool it is aging, the higher problem of breeding process nitrite is highlighted, aquaculture The sub- pin phosphate content of water quality directly affects cultivation success or failure and food safety.Thus, the content for determining Nitrite is food Very important project in product safety detection.
At present, the sub- pin phosphate content detection of water body mainly have spectrophotography, fluorescence method, chemoluminescence method, electrochemical process, Chromatography and Flow Injection Analysis etc..Wherein, may there is the interference of same absworption peak material in spectrophotography, and just cannot obtain True data, degree of accuracy are relatively low;The diverging direction of the fluorescence of fluorescence method is not concentrated, the light intensity of fluorescence is not high, and phosphor persistence Time it is shorter, so linear situation is sometimes undesirable;Chemoluminescence method needs to consume luminous agent, while quantum efficiency is relative It is relatively low;The voltage and current potentially unstable of electrochemical process, causes the nano material for preparing uneven, affects performance;Chromatography Qualitative ability it is poor, when the sterling for not having determinand or corresponding chromatographic qualitative data are used as control, it is impossible to from chromatographic peak Provide qualitative results;The analysis of Flow Injection Analysis and complex operation.Using said method, not only pretreatment process is loaded down with trivial details, and manually Mode measures not only speed and slowly, can also there is larger personal error.Therefore, the physicochemical characteristicss of the sub- pin hydrochlorate of water body are studied With the coupled relation of sub- pin phosphate content, the content information of sub- pin hydrochlorate, exploitation are gathered using the fresh approach such as spectrum technology It is a kind of accurate, stable, easy, quick, adapt to produce, process, check the nitrite that each link is used qualitative and quantitative square Method, with good theoretical significance and actual application value.
The content of the invention
The invention provides a kind of nitrite detection method scanned based on tera-hertz spectra, is capable of achieving water nitrite acid Salt is quick, objectively qualitative and quantitative detection, and other content of nitrite in foods is detected and food processing link The monitoring of nitrous acid content also has important using value.
A kind of nitrite detection method scanned based on tera-hertz spectra, including:
(1) configure the sample of the sub- pin acid salt aqueous solution of predetermined concentration scope;
(2) obtain terahertz light spectrum information of each sample in 0.2~2.0THz wavelength bands;
(3) characteristic absorption peak will be extracted after the Terahertz frequency domain spectra information denoising;
(4) model set up between characteristic absorption peak and sub- pin acid salt aqueous solution concentration;
(5) obtain the characteristic absorption peak of water sample to be detected and be input into the model, obtain corresponding sub- pin hydrochlorate concentration inspection Survey result.
As substantial amounts of molecular vibration and rotational energy level are all in terahertz wave band, terahertz time-domain spectroscopy detection technique exists There is during measurement advantage, which can be used as fingerprint characteristic and analyze its characteristic spectrum, research thing to absorbing strong to terahertz emission The inside composition of matter.Further, since the Terahertz for producing is to excite instantaneous carrying-current to be formed by the femto-second laser of ultra-narrow band, The features such as there is high s/n ratio, mental retardation, broadband property, coherence, transient state, perspectivity also.Therefore, can using tera-hertz spectra Realize the quick of water nitrite, high accuracy, the detection of low cost.
Implement the time-domain signal detecting system (THZ-TDS) that the inventive method can build tera-hertz spectra in advance, step (1) The middle sub- pin acid salt aqueous solution sample for preparing variable concentrations, using sodium nitrite and pure water accurate formulation.
Preferably, the mass percent concentration scope of multiple samples is 10.1%~34.0% in step (1).
As it is further preferably, the Concentraton gradient of multiple samples is at intervals of 0.1%.
For each sample, take a drop every time, drip in the thin silicon wafer for reflecting platform in Terahertz, obtain sample 0.2~ Terahertz light spectrum information in 2.0THz wavelength bands.
For the ease of follow-up data processing, preferably, the tera-hertz spectra information includes time-domain spectroscopy information, with And time-domain spectroscopy information is fourier transformed the frequency domain spectra information after (FFT).
Preferably, the denoising of step (3) is first to carry out additional dispersion correction again using 9 points of average smooth methods (MSC)。
Inhalation effects of the eliminating water to tera-hertz spectra can be effectively gone in the denoising of the present invention, and remove from high frequency with Machine noise, baseline drift, the uneven, light scattering of sample etc. affect.
Preferably, in step (3), extracting the absworption peak at 1.67THz, 1.86THz, 1.45THz wave band as feature Absworption peak.
Suitable characteristic absorption peak is selected accurately to detect sub- pin phosphate content.
Preferably, the model that step (4) is set up is LS-SVM models.
Relative to other kinds of model, for the detection of sub- pin phosphate content, least square method supporting vector machine (LS- SVM) model can improve the precision of prediction of model, especially the precision of prediction to low concentration sample and reduction Monitoring lower-cut.
Compared with prior art, the present invention is fast using tera-hertz spectra scanning speed, simple to operate, it is to avoid traditional water body The problems such as nitrite detection method process is loaded down with trivial details, speed is slow.By setting up pre- between tera-hertz spectra and content of sodium nitrite Relation mathematic model is surveyed, higher precision of prediction can be obtained.
Description of the drawings
Fig. 1 is the time-domain spectroscopy figure of pure water and inferior sodium nitrate aqueous solution.
Fig. 2 is the frequency domain spectra figure of pure water and inferior sodium nitrate aqueous solution.
Specific embodiment
A kind of nitrite detection method scanned based on tera-hertz spectra of the present embodiment, is comprised the following steps:
(1) prepared by sample:It is 2ml with sodium nitrite and pure water accurate formulation capacity, concentration is 10.1%~34.0% Sodium nitrite sample solution 240, Concentraton gradient is at intervals of 0.1%.
(2) spectrum is obtained:The solution that a drop configures is taken every time to drip in the thin silicon wafer for reflecting platform in Terahertz, obtains sample This terahertz time-domain spectroscopy information in 0.2~2.0THz wavelength bands, referring to Fig. 1, and after being fourier transformed (FFT) Frequency domain spectra information, referring to Fig. 2, wherein pulsewidth l-2ps, temporal resolution 0.067PS, effective time window 16.7PS.
(3) spectroscopic data is processed:The Pretreated spectra of additional dispersion correction (MSC) is carried out again using 9 points of average smooth methods Algorithm, effectively goes inhalation effects of the eliminating water to tera-hertz spectra, and removes from high-frequency random noises, baseline drift, sample not Uniformly, light scattering etc. affects.
Characteristic wave bands are extracted:Relative analyses pure water and the frequency domain spectra figure of low concentration sodium nitrite solution, calculate and absorb Spectrum, according to absorption spectrum find sodium nitrite have characteristic peak at 1.67THz, 1.86THz, 1.45THz wave band, extract this 3 Basis of characterization of the individual characteristic peak as nitrite.Absorption spectrum computing formula is:
Refractive index:
Absorptance:
Wherein, ω, A,C, d, respectively frequency, signal amplitude ratio, signal phase difference, the thickness of the light velocity and sample.
(4) by the sodium nitrite solution of 240 variable concentrations according to 2:1 ratio is divided, and 160 samples of calibration set are tested Card 80 samples of collection.
Using 160 samples of calibration set, according to the content of sodium nitrite of the characteristic absorption spectrum for extracting and corresponding sample Set up LS-SVM models.
(5) the LS-SVM models for having set up the characteristic absorption spectrum input of 80 samples of checking collection, obtain corresponding Predict the outcome.
Wherein LS-SVM models adopt Radial basis kernel function (RBF), using grid data service obtain optimal regular parameter λ and Kernel parameter σ2Respectively (16,0.0039).
Wherein, training set T={ (x1,y1),(x2,y2),…,(xN,yN)}。αkFor Lagrange multiplier, it is one by N-dimensional Elementary composition vector:αk=[a1,a1,…aN], belong to N-dimensional real number set RN:αk∈RN。ykFor single element dependent variable, belong to real Manifold closes R:yk∈R。
It is 0.82 by the detected value of the calculated sodium nitrite solution sample of above-mentioned model and the correlation coefficient of actual value, Root-mean-square error is 0.95, illustrates that detected value is good with the actual value goodness of fit, shows the Terahertz water nitrite inspection of the present invention Survey method has preferable practicality.

Claims (7)

1. it is a kind of based on tera-hertz spectra scan nitrite detection method, it is characterised in that include:
(1) configure the sample of the sub- pin acid salt aqueous solution of predetermined concentration scope;
(2) obtain terahertz light spectrum information of each sample in 0.2~2.0THz wavelength bands;
(3) characteristic absorption peak will be extracted after the Terahertz frequency domain spectra information denoising;
(4) model set up between characteristic absorption peak and sub- pin acid salt aqueous solution concentration;
(5) obtain the characteristic absorption peak of water sample to be detected and be input into the model, obtain corresponding sub- pin hydrochlorate Concentration Testing knot Really.
2. the nitrite detection method for being scanned based on tera-hertz spectra as claimed in claim 1, it is characterised in that step (1) in, the mass percent concentration scope of multiple samples is 10.1%~34.0%.
3. the nitrite detection method for being scanned based on tera-hertz spectra as claimed in claim 2, it is characterised in that multiple samples This Concentraton gradient is at intervals of 0.1%.
4. the as claimed in claim 1 nitrite detection method scanned based on tera-hertz spectra, it is characterised in that it is described too Hertz spectral information includes time-domain spectroscopy information, and the frequency domain spectra information after time-domain spectroscopy information is fourier transformed.
5. the nitrite detection method for being scanned based on tera-hertz spectra as claimed in claim 1, it is characterised in that step (3) denoising is first to carry out additional dispersion correction again using 9 points of average smooth methods.
6. the nitrite detection method for being scanned based on tera-hertz spectra as claimed in claim 1, it is characterised in that step (3), in, the absworption peak at 1.67THz, 1.86THz, 1.45THz wave band is extracted as characteristic absorption peak.
7. the nitrite detection method for being scanned based on tera-hertz spectra as claimed in claim 1, it is characterised in that step (4) model set up is LS-SVM models.
CN201610977339.6A 2016-11-08 2016-11-08 Nitrite detection method based on terahertz spectroscopy scanning Pending CN106525761A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201610977339.6A CN106525761A (en) 2016-11-08 2016-11-08 Nitrite detection method based on terahertz spectroscopy scanning

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201610977339.6A CN106525761A (en) 2016-11-08 2016-11-08 Nitrite detection method based on terahertz spectroscopy scanning

Publications (1)

Publication Number Publication Date
CN106525761A true CN106525761A (en) 2017-03-22

Family

ID=58349912

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201610977339.6A Pending CN106525761A (en) 2016-11-08 2016-11-08 Nitrite detection method based on terahertz spectroscopy scanning

Country Status (1)

Country Link
CN (1) CN106525761A (en)

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107024445A (en) * 2017-04-17 2017-08-08 中国科学院南京土壤研究所 The modeling method and detection method of the quick detection of Nitrate in Vegetable
CN107703090A (en) * 2017-10-11 2018-02-16 浙江大学 A kind of method of the tera-hertz spectra detection rape leaf moisture content of feature based extraction
CN108181259A (en) * 2017-12-28 2018-06-19 深圳市太赫兹科技创新研究院有限公司 The detection method and system of Radix Angelicae Sinensis sample
CN108760672A (en) * 2018-05-22 2018-11-06 深圳市太赫兹科技创新研究院 The detection method of melamine
CN109001834A (en) * 2018-06-22 2018-12-14 天和防务技术(北京)有限公司 One kind being based on active Terahertz safety inspection method
CN109490245A (en) * 2019-01-04 2019-03-19 上海理工大学 Acetone liquid concentration detection method based on terahertz time-domain spectroscopic technology

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102590135A (en) * 2012-03-02 2012-07-18 中国计量学院 Herbicide distinguishing method based on least-square support vector machine
CN102645407A (en) * 2011-02-17 2012-08-22 爱科来株式会社 Terahertz wave characteristic measurement method, substance detection method, measurement instrument, terahertz wave characteristic measurement device and substance detection device
CN103335976A (en) * 2013-06-04 2013-10-02 中国石油大学(北京) Method for measuring concentrations of sulfate, nitrate solutions by utilizing terahertz time-domain spectroscopy
CN103364362A (en) * 2013-04-25 2013-10-23 首都师范大学 Method for identifying Chinese herbal medicines by using THz-TDS combined with chemometrics
CN103487399A (en) * 2013-09-24 2014-01-01 浙江大学 Terahertz time-domain spectroscopy method for quantitatively detecting tetracycline hydrochloride solutions
CN104237157A (en) * 2014-09-28 2014-12-24 首都师范大学 Method for utilizing terahertz time-domain spectroscopy technology to detect amino acid content in grain

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102645407A (en) * 2011-02-17 2012-08-22 爱科来株式会社 Terahertz wave characteristic measurement method, substance detection method, measurement instrument, terahertz wave characteristic measurement device and substance detection device
CN102590135A (en) * 2012-03-02 2012-07-18 中国计量学院 Herbicide distinguishing method based on least-square support vector machine
CN103364362A (en) * 2013-04-25 2013-10-23 首都师范大学 Method for identifying Chinese herbal medicines by using THz-TDS combined with chemometrics
CN103335976A (en) * 2013-06-04 2013-10-02 中国石油大学(北京) Method for measuring concentrations of sulfate, nitrate solutions by utilizing terahertz time-domain spectroscopy
CN103487399A (en) * 2013-09-24 2014-01-01 浙江大学 Terahertz time-domain spectroscopy method for quantitatively detecting tetracycline hydrochloride solutions
CN104237157A (en) * 2014-09-28 2014-12-24 首都师范大学 Method for utilizing terahertz time-domain spectroscopy technology to detect amino acid content in grain

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107024445A (en) * 2017-04-17 2017-08-08 中国科学院南京土壤研究所 The modeling method and detection method of the quick detection of Nitrate in Vegetable
CN107703090A (en) * 2017-10-11 2018-02-16 浙江大学 A kind of method of the tera-hertz spectra detection rape leaf moisture content of feature based extraction
CN108181259A (en) * 2017-12-28 2018-06-19 深圳市太赫兹科技创新研究院有限公司 The detection method and system of Radix Angelicae Sinensis sample
CN108760672A (en) * 2018-05-22 2018-11-06 深圳市太赫兹科技创新研究院 The detection method of melamine
CN109001834A (en) * 2018-06-22 2018-12-14 天和防务技术(北京)有限公司 One kind being based on active Terahertz safety inspection method
CN109490245A (en) * 2019-01-04 2019-03-19 上海理工大学 Acetone liquid concentration detection method based on terahertz time-domain spectroscopic technology

Similar Documents

Publication Publication Date Title
CN106525761A (en) Nitrite detection method based on terahertz spectroscopy scanning
Xu et al. An overview on nondestructive spectroscopic techniques for lipid and lipid oxidation analysis in fish and fish products
CN105181642B (en) A kind of near infrared detection method of peanut quality and application
Mu et al. Portable detection and quantification of olive oil adulteration by 473-nm laser-induced fluorescence
Hua et al. Quantitative determination of cyfluthrin in n-hexane by terahertz time-domain spectroscopy with chemometrics methods
CN105445219B (en) A kind of method for strengthening biological sample in terahertz wave band absorption spectrum signal
CN103278473B (en) The mensuration of pipering and moisture and method for evaluating quality in white pepper
Pande et al. Fourier transform near-infrared spectroscopy for rapid and simple determination of phytic acid content in green gram seeds (Vigna radiata)
CN104849233B (en) A kind of method and device of detection cereal new-old degree
CN104914089A (en) Method for realizing semi-quantitative analysis to trace mixture by use of surface enhanced raman spectroscopy
CN102313712B (en) Correction method of difference between near-infrared spectrums with different light-splitting modes based on fiber material
Mobasheri et al. Leaf Equivalent Water Thickness assessment using reflectance at optimum wavelengths
CN109374548A (en) A method of quickly measuring nutritional ingredient in rice using near-infrared
Gholizadeh et al. Models for estimating the physical properties of paddy soil using visible and near infrared reflectance spectroscopy
CN105758819A (en) Method for detecting organic components of soil by utilizing near infrared spectrum
CN108107019A (en) A kind of method that versicolorin content in corn is quickly detected based near infrared spectroscopy
Yang et al. Predictions of soil organic carbon using laboratory-based hyperspectral data in the northern Tianshan mountains, China
CN104406923A (en) Method for quantitative detection of amino acid content in grain by THz-TDS technology
CN102042967B (en) Glucose aqueous solution quick identification method based on near infrared spectrum technology
CN106706554A (en) Method for rapidly and nondestructively determining content of straight-chain starch of corn single-ear grains
CN102928356A (en) Method for measuring essence solvent content rapidly
CN102645416A (en) Method for rapidly determining anthocyanin content in blueberries
CN105699314B (en) A method of detecting soil stabilization carbon isotope ratio using middle infrared spectrum
CN107271389A (en) A kind of spectral signature variable fast matching method based on index extreme value
CN105787518A (en) Near infrared spectrum pretreatment method based on null-space projection

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication

Application publication date: 20170322

RJ01 Rejection of invention patent application after publication