CN106404743A - Raman spectrum and near infrared spectrum combined detection method and detection device - Google Patents
Raman spectrum and near infrared spectrum combined detection method and detection device Download PDFInfo
- Publication number
- CN106404743A CN106404743A CN201610943504.6A CN201610943504A CN106404743A CN 106404743 A CN106404743 A CN 106404743A CN 201610943504 A CN201610943504 A CN 201610943504A CN 106404743 A CN106404743 A CN 106404743A
- Authority
- CN
- China
- Prior art keywords
- signal
- spectrum
- near infrared
- raman
- combination
- 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
Links
- 238000002329 infrared spectrum Methods 0.000 title claims abstract description 67
- 238000001514 detection method Methods 0.000 title claims abstract description 44
- 238000001237 Raman spectrum Methods 0.000 title claims abstract description 32
- 238000001228 spectrum Methods 0.000 claims abstract description 104
- 238000001069 Raman spectroscopy Methods 0.000 claims description 111
- 230000003595 spectral effect Effects 0.000 claims description 84
- 238000000034 method Methods 0.000 claims description 37
- 239000000463 material Substances 0.000 claims description 23
- 238000012937 correction Methods 0.000 claims description 12
- 238000002835 absorbance Methods 0.000 claims description 6
- 230000008569 process Effects 0.000 claims description 6
- 230000008878 coupling Effects 0.000 claims description 4
- 238000010168 coupling process Methods 0.000 claims description 4
- 238000005859 coupling reaction Methods 0.000 claims description 4
- 238000004566 IR spectroscopy Methods 0.000 claims description 2
- 239000000126 substance Substances 0.000 abstract description 8
- 238000010521 absorption reaction Methods 0.000 description 7
- 238000005516 engineering process Methods 0.000 description 6
- 238000004458 analytical method Methods 0.000 description 3
- 230000008901 benefit Effects 0.000 description 3
- 230000008859 change Effects 0.000 description 2
- 230000000295 complement effect Effects 0.000 description 2
- 230000007812 deficiency Effects 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 230000005284 excitation Effects 0.000 description 2
- 238000005286 illumination Methods 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 241000894007 species Species 0.000 description 2
- 240000008067 Cucumis sativus Species 0.000 description 1
- 235000010799 Cucumis sativus var sativus Nutrition 0.000 description 1
- 238000004497 NIR spectroscopy Methods 0.000 description 1
- 238000000862 absorption spectrum Methods 0.000 description 1
- 239000000428 dust Substances 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 230000013011 mating Effects 0.000 description 1
- 238000001320 near-infrared absorption spectroscopy Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 239000002245 particle Substances 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 230000001568 sexual effect Effects 0.000 description 1
- 238000010183 spectrum analysis Methods 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 230000007704 transition Effects 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
- G01N21/62—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
- G01N21/63—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light optically excited
- G01N21/65—Raman scattering
-
- 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
Landscapes
- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Biochemistry (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Spectroscopy & Molecular Physics (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Investigating, Analyzing Materials By Fluorescence Or Luminescence (AREA)
Abstract
The invention discloses a Raman spectrum and near infrared spectrum combined detection method and detection device. The detection method comprises the following steps: when judging that a signal of which the degree of matching with a pretreated Raman spectrum signal is greater than a first preset value exists in a Raman spectrum signal database, determining that a sample is a substance corresponding to the signal in the Raman spectrum signal database; when judging that a signal of which the degree of matching with a pretreated near infrared spectrum signal is greater than a second preset value exists in a near infrared spectrum signal database, determining that a sample is a substance corresponding to the signal in the near infrared spectrum signal database; performing signal combination on the pretreated Raman spectrum signal and the pretreated near infrared spectrum signal to obtain a combined spectrum; and when judging that a signal of which the degree of matching with the combined spectrum is greater than a preset third value exists in a combined spectrum database, determining that a sample is a substance corresponding to the signal in the combined spectrum database. The detection method and detection device can expand the varieties of detectable substances and improve the reliability of the detection result.
Description
Technical field
The present invention relates to Raman signal processing technology field, more particularly, to a kind of combination Raman spectrum and near infrared spectrum
Detection method and detection device.
Background technology
Raman spectrum (Raman spectra) is a kind of scattering spectrum.Raman spectrum analyses method is based on India scientist
C.V. the Raman scattering effect that Raman (Raman) is found, the scattering spectrum different to incident light frequency is analyzed to obtain
Molecular vibration, the information of rotation aspect, and it is applied to a kind of analysis method of molecular structure research.Raman spectroscopy is with its spirit
Quick property, rapidity and easy to operate the advantages of, be developed rapidly and extensively apply in Noninvasive testing field.
When illumination is mapped to medium, in addition to Absorption of Medium, reflection and passing through, always some is scattered, its scattering
Including elastic scattering and inelastic scattering.The scattered light of elastic scattering is and excitation wavelength identical composition, inelastic scattering
Scattered light have the composition long He shorter than excitation wavelength, be referred to as Raman effect.Scattered light can be divided into three according to frequency
Class：The first kind, is to be caused by certain scattering center (molecule or dust particle), and the change of its wave number is less than 10-5cm- 1Or it is basic
Constant, this kind of scattering is referred to as Mie scattering；Equations of The Second Kind, occurs interaction to produce by incident illumination wave field with the elastic wave in medium
Raw scattering, its wave number changes about 0.1cm- 1, referred to as Brillouin (Brillouin) scattering；Above two class scatterings are generally difficult to
Resolution is collectively referred to as Rayleigh scattering；3rd class, wave number change is more than 1cm- 1Scattering, be equivalent to molecule rotation, vibration level and electricity
Sub- transition between the energy levels scope, referred to as Raman scattering.
Near infrared spectrum (Near Infrared Spectroscopy, abbreviation NIRS) analytical technology is near using sample
Between infrared signature absorption peak and sample composition content and performance set up mathematical relationship, to predict unknown sample component content and
Its performance.Compared with mid-infrared, although the frequency multiplication of near infrared spectrum or group sum of fundamental frequencies absorption intensity about lower by 1 than fundamental frequency peak intensity to
3 orders of magnitude, but because these weak absorption bands do not show marginal interference in MIR absorption band, thus larger at one
Absorb sexual intercourse wired between these intensities of absorption bands and measured object concentration in dynamic range.Near-infrared spectral analysis technology is also
One kind efficiently quick modern analytical technique, integrated use multiple such as computer technology, spectral technique and Chemical Measurement
The newest research results of section, have obtained increasingly extensive application with its unique advantage in multiple fields, and have gradually obtained big
Many generally acceptance.In recent years, due to the development of computer and chemometricses software, particularly deeply the grinding of Chemical Measurement
Study carefully and extensively apply, make near-infrared spectrum technique become with fastest developing speed, the most noticeable spectral technique.In the short more than ten years
Interior, near-infrared spectrum technique fast development becomes the analytical technology of a great competitiveness.
Inherently, near infrared spectrum is absorption spectrum, and Raman spectrum is non-elastic scattering spectra, and both can characterize thing
The structure of matter molecule.But for Cucumber, thermo-responsive for laser, or raman spectral signal is extremely faint, or swash
There is strong fluorescence signal so that Raman signal is submerged in fluorescence signal cannot realize raman spectral signal when light excites
Collection.Equally, moieties near infrared absorption weak output signal, and Raman signal is very strong.
Content of the invention
In order to solve to be used alone the discrimination need that Raman spectrometer and near infrared spectrometer are detected in prior art
The problem improving, the invention provides the detection method of a kind of combination Raman spectrum and near infrared spectrum and detection device.
The invention provides the detection method of a kind of combination Raman spectrum and near infrared spectrum, including：
Step 1, carries out spectroscopic acquisition using Raman spectrometer and collects raman spectral signal Sr to sample；
Step 2, carries out to described raman spectral signal carrying out with signal in raman spectral signal data base after pretreatment
Join, judge in raman spectral signal data base whether there is be more than with the matching degree carrying out pretreated raman spectral signal
The signal of the first preset value, if it is, determine that described sample is corresponding to this signal in described raman spectral signal data base
Material, method terminates, if not, execution step 3；
Step 3, carries out near infrared spectrum signals collecting using near infrared spectrometer to described sample and collects near-infrared
Spectral signal Sn；
Step 4, described near infrared light spectrum signal Sn is carried out after pretreatment near infrared spectrum Signals Data Base in letter
Number mated, judge to whether there is in described near infrared spectrum Signals Data Base and carry out pretreated near infrared spectrum letter
Number matching degree be more than the second preset value signal, if it is, determine described sample be described near infrared spectrum signal data
The material corresponding to this signal in storehouse, method terminates, if not, execution step 5；
Step 5, pretreated raman spectral signal and pretreated near infrared light spectrum signal are carried out signal combination
Obtain combination spectrum；
Step 6, described combination spectrum is mated with the signal in combination spectrum data base, judges combination spectrum data
It is more than the signal of the 3rd preset value with the presence or absence of the matching degree with described combination spectrum, if it is, determining described sample in storehouse
Material corresponding to the described signal in described combination spectrum data base, method terminates；If it is not, then no occurrence, method
Terminate.
Above-mentioned detection method also has the characteristics that：
In described step 5, pretreated raman spectral signal and pretreated near infrared light spectrum signal are carried out signal
Combination obtains combination spectrum and includes：By the end of pretreated raman spectral signal and pretreated near infrared light spectrum signal
Head end be connected to form combination spectrum.
Above-mentioned detection method also has the characteristics that：
Carry out pretreatment to described raman spectral signal Sr to include：Described raman spectral signal Sr is filtered denoising,
Baseline correction, normalized；
Carry out pretreatment to described near infrared light spectrum signal Sn to include：Described near infrared light spectrum signal Sn is carried out denoising,
By Orthogonal Signal Correction Analyze for absorbance data process.
Above-mentioned detection method also has the characteristics that：
Using Raman spectrometer, sample is carried out with spectroscopic acquisition in described step 1 and collect raman spectral signal Sr
Including：
Step 101, sample is positioned over the sample collection location of Raman spectrum harvester, opens laser instrument, by Raman
The signals collecting of a length of first duration when spectrogrph is acquired, obtains original spectrum signal S1, closes described laser instrument；
Step 102, carries out the collection of described first duration by described Raman spectrometer to bias light, obtains bias light letter
Number S2；It is calculated the difference spectrum signal Sr of described primary signal S1 and described background light signal S2；This difference spectrum is believed
Number Sr is as described raman spectral signal Sr.
Above-mentioned detection method also has the characteristics that：
Also include between described step 101 and step 102：Judge whether the signal intensity of described primary signal S1 is located in advance
If scope, if greater than or be equal to preset range, reduce laser instrument laser power and/or reduce collection duration after carry out again
Collection, the duration of Resurvey is as described first duration；If less than preset range, improve laser instrument laser power and/
Or carry out Resurvey, when a length of first duration of Resurvey after improving collection duration.
Present invention also offers the detection device of a kind of combination Raman spectrum and near infrared spectrum, including：Raman spectrometer,
Near infrared spectrometer, detector, memorizer；
Described memorizer, for storing raman spectral signal data base, near infrared spectrum Signals Data Base, combination spectrum number
According to storehouse；
Described detector, for being detected using following methods：
Step 1, carries out spectroscopic acquisition using Raman spectrometer and collects raman spectral signal Sr to sample,
Step 2, carries out to described raman spectral signal carrying out with signal in raman spectral signal data base after pretreatment
Join, judge in raman spectral signal data base whether there is be more than with the matching degree carrying out pretreated raman spectral signal
The signal of the first preset value, if it is, determine that described sample is corresponding to this signal in described raman spectral signal data base
Material, method terminates, if not, execution step 3；
Step 3, carries out near infrared spectrum signals collecting using near infrared spectrometer to described sample and collects near-infrared
Spectral signal Sn；
Step 4, by described near infrared light spectrum signal Sn carry out after pretreatment near infrared spectrum Signals Data Base in letter
Number mated, judge to whether there is in described near infrared spectrum Signals Data Base and carry out pretreated near infrared spectrum letter
Number matching degree be more than the second preset value signal, if it is, determine described sample be described near infrared spectrum signal data
The material corresponding to this signal in storehouse, method terminates, if not, execution step 5；
Step 5, pretreated raman spectral signal and pretreated near infrared light spectrum signal are carried out signal combination
Obtain combination spectrum；
Step 6, described combination spectrum is mated with the signal in combination spectrum data base, judges combination spectrum data
It is more than the signal of the 3rd preset value with the presence or absence of the matching degree with described combination spectrum, if it is, determining described sample in storehouse
Material corresponding to the described signal in described combination spectrum data base, method terminates；If it is not, then no occurrence, method
Terminate.
Above-mentioned detection device also has the characteristics that：
Described detector, for according in the following manner by pretreated raman spectral signal and pretreated near-infrared
Spectral signal carries out signal combination and obtains combination spectrum and include：After the end of pretreated raman spectral signal and pretreatment
The head end of near infrared light spectrum signal be connected to form combination spectrum.
Above-mentioned detection device also has the characteristics that：
Described detector, is additionally operable to carry out following pretreatment to described raman spectral signal Sr：Described Raman spectrum is believed
Number Sr is filtered denoising, baseline correction, normalized；It is additionally operable to carry out following pre- place to described near infrared light spectrum signal Sn
Reason：Described near infrared light spectrum signal Sn is carried out denoising, by Orthogonal Signal Correction Analyze for absorbance data process.
The present invention is directed to the deficiency that the individual event Detection Techniques of Raman spectrometer and near infrared spectrometer exist, using Raman and
The complementing each other property of both near-infrareds, is combined near infrared spectrum in conjunction with Raman spectrum and is detected, can timesharing or simultaneously detect
The Raman spectrum of same sample and near infrared spectrum, two data are complementary to one another the species that can expand detectable substance, improve detection
The reliability of result, is particularly suitable for the composition detection of sensitive materials sample.
Brief description
Fig. 1 is the flow chart of the detection method combining Raman spectrum and near infrared spectrum in embodiment；
Fig. 2 is the structure chart of the detection device combining Raman spectrum and near infrared spectrum in embodiment.
Specific embodiment
Purpose, technical scheme and advantage for making the embodiment of the present invention are clearer, below in conjunction with the embodiment of the present invention
In accompanying drawing, the technical scheme in the embodiment of the present invention is clearly and completely described it is clear that described embodiment is
The a part of embodiment of the present invention, rather than whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art
The every other embodiment being obtained under the premise of not making creative work, broadly falls into the scope of protection of the invention.Need
Illustrate, in the case of not conflicting, the embodiment in the application and the feature in embodiment can mutual combination in any.
Because Raman spectrum is with respect near infrared spectrum, its spectral peak is more sharp, high resolution, can identification height.This
Bright based on Raman spectroscopic detection, near infrared spectrum detect supplemented by.The obvious material for raman spectral signal, then with routine
Raman detection i.e. can recognize that material composition；The unconspicuous material for raman spectral signal, then examined near infrared spectrum and know
The composition of other material or both spectrum that merges carry out the identification of material.
Fig. 1 is the flow chart of the detection method combining Raman spectrum and near infrared spectrum in embodiment；This Raman spectrum with
Near infrared spectrum includes with reference to detection method：
Step 1, carries out spectroscopic acquisition using Raman spectrometer and collects raman spectral signal Sr to sample；
Step 2, is carried out to raman spectral signal being mated with signal in raman spectral signal data base after pretreatment, sentences
Whether there is in disconnected raman spectral signal data base and be more than first with the matching degree carrying out pretreated raman spectral signal
The signal of preset value, if it is, determining that sample is the material corresponding to this signal in raman spectral signal data base, method is tied
Bundle, if not, execution step 3；
Step 3, carries out near infrared spectrum signals collecting using near infrared spectrometer to sample and collects near infrared spectrum
Signal Sn；
Step 4, carries out near infrared light spectrum signal Sn entering with the signal near infrared spectrum Signals Data Base after pretreatment
Row coupling, judges to whether there is and mating of carrying out pretreated near infrared light spectrum signal near infrared spectrum Signals Data Base
Degree is more than the signal of the second preset value, if it is, determining that sample is right for this signal near infrared spectrum Signals Data Base
The material answered, method terminates, if not, execution step 5；
Step 5, pretreated raman spectral signal and pretreated near infrared light spectrum signal are carried out signal combination
Obtain combination spectrum；
Step 6, combination spectrum is mated with the signal in combination spectrum data base, judges in combination spectrum data base
It is more than the signal of the 3rd preset value with the presence or absence of the matching degree with combination spectrum, if it is, determining that sample is combination spectrum number
According to the material corresponding to the signal in storehouse, method terminates；If it is not, then no occurrence, method terminates.
Wherein,
Using Raman spectrometer, sample is carried out with spectroscopic acquisition in step 1 and collect raman spectral signal Sr bag
Include：Step 101, sample is positioned over the sample collection location of Raman spectrum harvester, opens laser instrument, by Raman spectrometer
The signals collecting of a length of first duration when being acquired, obtains original spectrum signal S1, closes laser instrument；Step 102, by drawing
Graceful spectrogrph carries out the collection of the first duration to bias light, obtains background light signal S2；It is calculated primary signal S1 and background
The difference spectrum signal Sr of optical signal S2；Using this difference spectrum signal Sr as raman spectral signal Sr.
Also include between step 101 and step 102：Judge whether the signal intensity of primary signal S1 is located at preset range,
If greater than or be equal to preset range, reduce laser instrument laser power and/or reduce collection duration after carry out Resurvey, weight
Freshly harvested duration is as the first duration；If less than preset range, when improving the laser power of laser instrument and/or improving collection
Carry out Resurvey, when a length of first duration of Resurvey after length.
In step 5, pretreated raman spectral signal and pretreated near infrared light spectrum signal are carried out signal combination
Obtain combination spectrum to include：Head by the end of pretreated raman spectral signal and pretreated near infrared light spectrum signal
End is connected to form combination spectrum.
Carry out pretreatment to raman spectral signal Sr to include：Raman spectral signal Sr is filtered denoising, baseline correction,
Normalized；Carry out pretreatment near infrared light spectrum signal Sn to include：Near infrared light spectrum signal Sn is carried out denoising, will be orthogonal
Signal correction is the process of absorbance data.
Fig. 2 is the structure chart of the detection device combining Raman spectrum and near infrared spectrum in embodiment.This combines Raman light
Spectrum and the detection device of near infrared spectrum, including：Raman spectrometer, near infrared spectrometer, detector, memorizer.
Memorizer, for storing raman spectral signal data base, near infrared spectrum Signals Data Base, combination spectrum data
Storehouse；
Detector, for being detected using following methods：
Step 1, carries out spectroscopic acquisition using Raman spectrometer and collects raman spectral signal Sr to sample,
Step 2, is carried out to raman spectral signal being mated with signal in raman spectral signal data base after pretreatment, sentences
Whether there is in disconnected raman spectral signal data base and be more than first with the matching degree carrying out pretreated raman spectral signal
The signal of preset value, if it is, determining that sample is the material corresponding to this signal in raman spectral signal data base, method is tied
Bundle, if not, execution step 3；
Step 3, carries out near infrared spectrum signals collecting using near infrared spectrometer to sample and collects near infrared spectrum
Signal Sn；
Step 4, carries out near infrared light spectrum signal Sn entering with the signal near infrared spectrum Signals Data Base after pretreatment
Row coupling, judge near infrared spectrum Signals Data Base with the presence or absence of with carry out pretreated near infrared light spectrum signal Sn
Join the signal that degree is more than the second preset value, if it is, determining that sample is this signal institute near infrared spectrum Signals Data Base
Corresponding material, method terminates, if not, execution step 5；
Step 5, pretreated raman spectral signal and pretreated near infrared light spectrum signal are carried out signal combination
Obtain combination spectrum；
Step 6, combination spectrum is mated with the signal in combination spectrum data base, judges in combination spectrum data base
It is more than the signal of the 3rd preset value with the presence or absence of the matching degree with combination spectrum, if it is, determining that sample is combination spectrum number
According to the material corresponding to the signal in storehouse, method terminates；If it is not, then no occurrence, method terminates.
Wherein,
Detector, for according in the following manner by pretreated raman spectral signal and pretreated near infrared spectrum
Signal carries out signal combination and obtains combination spectrum and include：By the end of pretreated raman spectral signal and pretreated near
The head end of infrared spectroscopy signals is connected to form combination spectrum.
Detector, is additionally operable to carry out following pretreatment to raman spectral signal Sr：Raman spectral signal Sr is filtered
Denoising, baseline correction, normalized；It is additionally operable to carry out following pretreatment near infrared light spectrum signal Sn：To near infrared spectrum
Signal Sn carry out denoising, by Orthogonal Signal Correction Analyze for absorbance data process.
The present invention is directed to the deficiency that the individual event Detection Techniques of Raman spectrometer and near infrared spectrometer exist, using Raman and
The complementing each other property of both near-infrareds, is combined near infrared spectrum in conjunction with Raman spectrum and is detected, can timesharing or simultaneously detect
The Raman spectrum of same sample and near infrared spectrum, two data are complementary to one another the species that can expand detectable substance, improve detection
The reliability of result, is particularly suitable for the composition detection of sensitive materials sample.
Descriptions above can combine individually or in every way enforcement, and these variant all exist
Within protection scope of the present invention.
Herein, term " inclusion ", "comprising" or its any other variant are intended to comprising of nonexcludability, from
And make to include a series of article of key elements or equipment not only includes those key elements, but also inclusion be not expressly set out its
His key element, or also include for this article or the intrinsic key element of equipment.In the absence of more restrictions, by language
Key element that sentence " include ... " limits it is not excluded that also exist in the article including key element or equipment other identical will
Element.
Above example only in order to technical scheme to be described and unrestricted, reference only to preferred embodiment to this
Bright it has been described in detail.It will be understood by those within the art that, technical scheme can be modified
Or equivalent, without deviating from the spirit and scope of technical solution of the present invention, all should cover the claim model in the present invention
In the middle of enclosing.
Claims (8)
1. a kind of combination Raman spectrum and the detection method of near infrared spectrum are it is characterised in that include：
Step 1, carries out spectroscopic acquisition using Raman spectrometer and collects raman spectral signal Sr to sample；
Step 2, is carried out to described raman spectral signal being mated with signal in raman spectral signal data base after pretreatment, sentences
Whether there is in disconnected raman spectral signal data base and be more than first with the matching degree carrying out pretreated raman spectral signal
The signal of preset value, if it is, determine that described sample is the thing corresponding to this signal in described raman spectral signal data base
Matter, method terminates, if not, execution step 3；
Step 3, carries out near infrared spectrum signals collecting using near infrared spectrometer to described sample and collects near infrared spectrum
Signal Sn；
Step 4, carries out entering with the signal near infrared spectrum Signals Data Base after pretreatment to described near infrared light spectrum signal Sn
Row coupling, judges to whether there is in described near infrared spectrum Signals Data Base and carries out pretreated near infrared light spectrum signal
Matching degree is more than the signal of the second preset value, if it is, determining that described sample is in described near infrared spectrum Signals Data Base
The material corresponding to this signal, method terminates, if not, execution step 5；
Step 5, pretreated raman spectral signal and pretreated near infrared light spectrum signal is carried out signal combination and obtains
Combination spectrum；
Step 6, described combination spectrum is mated with the signal in combination spectrum data base, judges in combination spectrum data base
It is more than the signal of the 3rd preset value with the presence or absence of the matching degree with described combination spectrum, if it is, determining that described sample is institute
State the material corresponding to described signal in combination spectrum data base, method terminates；If it is not, then no occurrence, method terminates.
2. detection method as claimed in claim 1 it is characterised in that
In described step 5, pretreated raman spectral signal and pretreated near infrared light spectrum signal are carried out signal combination
Obtain combination spectrum to include：Head by the end of pretreated raman spectral signal and pretreated near infrared light spectrum signal
End is connected to form combination spectrum.
3. detection method as claimed in claim 1 it is characterised in that
Carry out pretreatment to described raman spectral signal Sr to include：Denoising, baseline are filtered to described raman spectral signal Sr
Correction, normalized；
Carry out pretreatment to described near infrared light spectrum signal Sn to include：Described near infrared light spectrum signal Sn is carried out denoising, will just
Hand over the process that signal correction is absorbance data.
4. detection method as claimed in claim 1 it is characterised in that
Using Raman spectrometer, sample is carried out with spectroscopic acquisition in described step 1 and collect raman spectral signal Sr bag
Include：
Step 101, sample is positioned over the sample collection location of Raman spectrum harvester, opens laser instrument, by Raman spectrum
The signals collecting of a length of first duration when instrument is acquired, obtains original spectrum signal S1, closes described laser instrument；
Step 102, carries out the collection of described first duration by described Raman spectrometer to bias light, obtains background light signal
S2；It is calculated the difference spectrum signal Sr of described primary signal S1 and described background light signal S2；By this difference spectrum signal
Sr is as described raman spectral signal Sr.
5. detection method as claimed in claim 3 it is characterised in that
Also include between described step 101 and step 102：Judge whether the signal intensity of described primary signal S1 is located at default model
Enclose, if greater than or be equal to preset range, reduce laser instrument laser power and/or reduce collection duration after again adopted
Collection, the duration of Resurvey is as described first duration；If less than preset range, improve laser instrument laser power and/or
Carry out Resurvey, when a length of first duration of Resurvey after improving collection duration.
6. a kind of combination Raman spectrum and the detection device of near infrared spectrum are it is characterised in that include：Raman spectrometer, closely red
External spectrum instrument, detector, memorizer；
Described memorizer, for storing raman spectral signal data base, near infrared spectrum Signals Data Base, combination spectrum data
Storehouse；
Described detector, for being detected using following methods：
Step 1, carries out spectroscopic acquisition using Raman spectrometer and collects raman spectral signal Sr to sample,
Step 2, is carried out to described raman spectral signal being mated with signal in raman spectral signal data base after pretreatment, sentences
Whether there is in disconnected raman spectral signal data base and be more than first with the matching degree carrying out pretreated raman spectral signal
The signal of preset value, if it is, determine that described sample is the thing corresponding to this signal in described raman spectral signal data base
Matter, method terminates, if not, execution step 3；
Step 3, carries out near infrared spectrum signals collecting using near infrared spectrometer to described sample and collects near infrared spectrum
Signal Sn；
Step 4, described near infrared light spectrum signal Sn is carried out entering with the signal near infrared spectrum Signals Data Base after pretreatment
Row coupling, judges to whether there is in described near infrared spectrum Signals Data Base and carries out pretreated near infrared light spectrum signal
Matching degree is more than the signal of the second preset value, if it is, determining that described sample is in described near infrared spectrum Signals Data Base
The material corresponding to this signal, method terminates, if not, execution step 5；
Step 5, pretreated raman spectral signal and pretreated near infrared light spectrum signal is carried out signal combination and obtains
Combination spectrum；
Step 6, described combination spectrum is mated with the signal in combination spectrum data base, judges in combination spectrum data base
It is more than the signal of the 3rd preset value with the presence or absence of the matching degree with described combination spectrum, if it is, determining that described sample is institute
State the material corresponding to described signal in combination spectrum data base, method terminates.
7. detection device as claimed in claim 6 it is characterised in that
Described detector, for according in the following manner by pretreated raman spectral signal and pretreated near infrared spectrum
Signal carries out signal combination and obtains combination spectrum and include：By the end of pretreated raman spectral signal and pretreated near
The head end of infrared spectroscopy signals is connected to form combination spectrum.
8. detection device as claimed in claim 6 it is characterised in that
Described detector, is additionally operable to carry out following pretreatment to described raman spectral signal Sr：To described raman spectral signal Sr
It is filtered denoising, baseline correction, normalized；It is additionally operable to carry out following pretreatment to described near infrared light spectrum signal Sn：
Described near infrared light spectrum signal Sn is carried out denoising, by Orthogonal Signal Correction Analyze for absorbance data process.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610943504.6A CN106404743A (en) | 2016-11-01 | 2016-11-01 | Raman spectrum and near infrared spectrum combined detection method and detection device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610943504.6A CN106404743A (en) | 2016-11-01 | 2016-11-01 | Raman spectrum and near infrared spectrum combined detection method and detection device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106404743A true CN106404743A (en) | 2017-02-15 |
Family
ID=58013671
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610943504.6A Pending CN106404743A (en) | 2016-11-01 | 2016-11-01 | Raman spectrum and near infrared spectrum combined detection method and detection device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106404743A (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108362659A (en) * | 2018-02-07 | 2018-08-03 | 武汉轻工大学 | Edible oil type method for quick identification based on multi-source optical spectrum parallel connection fusion |
| WO2019144925A1 (en) * | 2018-01-25 | 2019-08-01 | 齐鲁工业大学 | Measurement system with point-to-point real-time fusion of three channels: infrared, raman and laser |
| CN110514639A (en) * | 2019-07-16 | 2019-11-29 | 河北伊诺光学科技股份有限公司 | A kind of effective Raman Spectra picture capturing method, system and storage medium |
| CN112798572A (en) * | 2020-12-30 | 2021-05-14 | 北京华泰诺安探测技术有限公司 | Raman spectrum and ion mobility spectrum combined detection method and device |
| CN112834481A (en) * | 2020-12-31 | 2021-05-25 | 宁波海关技术中心 | Raman spectrum enhanced measurement system and measurement method |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5360972A (en) * | 1993-08-17 | 1994-11-01 | Western Atlas International, Inc. | Method for improving chemometric estimations of properties of materials |
| US5841139A (en) * | 1997-02-28 | 1998-11-24 | Bio-Rad Laboratories, Inc. | Optical instrument providing combined infrared and Ramen analysis of samples |
| US20040057040A1 (en) * | 2000-05-26 | 2004-03-25 | Konrad Beckenkamp | Method and device for identifying chemical substances |
| CN102121902A (en) * | 2011-03-15 | 2011-07-13 | 南京工业大学 | Online Raman spectrometer correction device and correction method thereof |
| CN104807803A (en) * | 2015-04-20 | 2015-07-29 | 武汉轻工大学 | Quantitative adulteration detection method for peanut oil based on multiple-source spectroscopic data fusion |
| CN105181672A (en) * | 2015-09-25 | 2015-12-23 | 东北大学 | Real-time Raman spectrum wavenumber and strength correction method |
| CN105588817A (en) * | 2015-12-16 | 2016-05-18 | 新希望双喜乳业（苏州）有限公司 | Milk freshness detecting method based on multisource spectroscopic data fusion |
| CN105806824A (en) * | 2016-03-22 | 2016-07-27 | 武汉轻工大学 | Quick edible oil variety identification method based on multisource spectral feature fusion |
| CN105954258A (en) * | 2016-05-26 | 2016-09-21 | 伯格森(北京)科技有限公司 | Detector and detection method for edible oil doped with inferior oil |
-
2016
- 2016-11-01 CN CN201610943504.6A patent/CN106404743A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5360972A (en) * | 1993-08-17 | 1994-11-01 | Western Atlas International, Inc. | Method for improving chemometric estimations of properties of materials |
| US5841139A (en) * | 1997-02-28 | 1998-11-24 | Bio-Rad Laboratories, Inc. | Optical instrument providing combined infrared and Ramen analysis of samples |
| US20040057040A1 (en) * | 2000-05-26 | 2004-03-25 | Konrad Beckenkamp | Method and device for identifying chemical substances |
| CN102121902A (en) * | 2011-03-15 | 2011-07-13 | 南京工业大学 | Online Raman spectrometer correction device and correction method thereof |
| CN104807803A (en) * | 2015-04-20 | 2015-07-29 | 武汉轻工大学 | Quantitative adulteration detection method for peanut oil based on multiple-source spectroscopic data fusion |
| CN105181672A (en) * | 2015-09-25 | 2015-12-23 | 东北大学 | Real-time Raman spectrum wavenumber and strength correction method |
| CN105588817A (en) * | 2015-12-16 | 2016-05-18 | 新希望双喜乳业（苏州）有限公司 | Milk freshness detecting method based on multisource spectroscopic data fusion |
| CN105806824A (en) * | 2016-03-22 | 2016-07-27 | 武汉轻工大学 | Quick edible oil variety identification method based on multisource spectral feature fusion |
| CN105954258A (en) * | 2016-05-26 | 2016-09-21 | 伯格森(北京)科技有限公司 | Detector and detection method for edible oil doped with inferior oil |
Non-Patent Citations (3)
| Title |
|---|
| 周天楠 等: "《聚合物材料结构表征与分析实验教程》", 31 May 2016, 成都：四川大学出版社 * |
| 赵杰文 等: "《现代成像技术及其在食品、农产品检测中的应用》", 31 January 2011, 北京：机械工业出版社 * |
| 钱苗根 等: "《现代表面技术》", 31 July 2016, 北京：机械工业出版社 * |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2019144925A1 (en) * | 2018-01-25 | 2019-08-01 | 齐鲁工业大学 | Measurement system with point-to-point real-time fusion of three channels: infrared, raman and laser |
| CN108362659A (en) * | 2018-02-07 | 2018-08-03 | 武汉轻工大学 | Edible oil type method for quick identification based on multi-source optical spectrum parallel connection fusion |
| CN108362659B (en) * | 2018-02-07 | 2021-03-30 | 武汉轻工大学 | Edible oil type rapid identification method based on multi-source spectrum parallel fusion |
| CN110514639A (en) * | 2019-07-16 | 2019-11-29 | 河北伊诺光学科技股份有限公司 | A kind of effective Raman Spectra picture capturing method, system and storage medium |
| CN110514639B (en) * | 2019-07-16 | 2022-02-11 | 河北凌析科技有限公司 | Effective Raman spectrum acquisition method, system and storage medium |
| CN112798572A (en) * | 2020-12-30 | 2021-05-14 | 北京华泰诺安探测技术有限公司 | Raman spectrum and ion mobility spectrum combined detection method and device |
| CN112834481A (en) * | 2020-12-31 | 2021-05-25 | 宁波海关技术中心 | Raman spectrum enhanced measurement system and measurement method |
| CN112834481B (en) * | 2020-12-31 | 2023-09-05 | 宁波海关技术中心 | Raman spectrum enhancement measurement system and measurement method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106404743A (en) | Raman spectrum and near infrared spectrum combined detection method and detection device | |
| CN100590417C (en) | Plant blade physiologic index non-destructive test method | |
| CN106198482B (en) | The method for whether being added with Western medicine in detection health care product based on Raman spectrum | |
| EP3088871B1 (en) | Raman spectrum detection method | |
| CN104568778A (en) | Textile component identification method based on hyperspectral imaging | |
| CN102192890A (en) | Method for rapidly measuring chemical compositions of wood by utilizing near infrared spectroscopic analysis technique | |
| CN106596499A (en) | Real-time Raman spectrum calibration method | |
| CN103487422A (en) | Cloud traditional Chinese medicine quality detection system of multi-wavelength LED fluorescence spectrum and method | |
| CN102042967B (en) | Glucose aqueous solution quick identification method based on near infrared spectrum technology | |
| CN104297206A (en) | Quick liquid milk brand identifying method | |
| CN105092513A (en) | Method for determining content of drug components in mixture drug | |
| CN102192891A (en) | Method for quickly determining air-dry density of wood by near infrared spectral analysis technology | |
| CN109100315B (en) | Wavelength selection method based on noise-signal ratio | |
| CN102087211A (en) | Terahertz spectral analysis device and detection method for biofilm | |
| US20130321800A1 (en) | Integrated raman spectroscopy detector | |
| Mello et al. | Analysis of the DNA Fourier transform-infrared microspectroscopic signature using an all-reflecting objective | |
| CN203572772U (en) | Cloud traditional Chinese medicine quality detection system based on multi-wavelength LED fluorescence spectrum | |
| Bansod et al. | Near Infrared spectroscopy based a portable soil nitrogen detector design | |
| CN113208586A (en) | Noninvasive blood glucose rapid diagnosis differential Raman spectroscopy system | |
| CN104568828A (en) | Method for determining tensile strength of reproduced tobacco leaves of papermaking method by near-infrared diffuse reflection spectrum | |
| CN107271389A (en) | A kind of spectral signature variable fast matching method based on index extreme value | |
| CN205215187U (en) | Skin detecting system based on it is multispectral | |
| CN102262055B (en) | Method for measuring residual quantity of acrylamide monomer in polyacrylamide substances | |
| CN116399850A (en) | Spectrum detection and identification system for optical signal processing and detection method thereof | |
| CN113496218B (en) | Evaluation method and system for hyperspectral remote sensing sensitive wave band selection mode |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20170215 |