CN101424636A - A kind of device and method of rapidly and nondestructively detecting content of green tea composition - Google Patents

A kind of device and method of rapidly and nondestructively detecting content of green tea composition Download PDF

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CN101424636A
CN101424636A CNA2008101626002A CN200810162600A CN101424636A CN 101424636 A CN101424636 A CN 101424636A CN A2008101626002 A CNA2008101626002 A CN A2008101626002A CN 200810162600 A CN200810162600 A CN 200810162600A CN 101424636 A CN101424636 A CN 101424636A
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green tea
sample
sample cell
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model
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吕进
卢启鹏
施秧
朴仁官
刘辉军
林敏�
陈星旦
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Changchun Institute of Optics Fine Mechanics and Physics of CAS
China Jiliang University
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Changchun Institute of Optics Fine Mechanics and Physics of CAS
China Jiliang University
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Abstract

The invention discloses the device that a kind of green tea component content quick nondestructive detects, it mainly is made up of photosignal detection system and DSP embedded digital information processing system, and photosignal detection system and DSP embedded digital information processing system all encapsulate in the enclosure.The present invention can realize the Non-Destructive Testing of conventional sense projects such as amino acid in the green tea, caffeine, Tea Polyphenols, moisture,, environmental protection more more quick than the physical and chemical inspection of conventional tea leaf composition, need not to carry out sample pretreatment, the testing result good reproducibility, and testing cost is low.

Description

A kind of device and method of rapidly and nondestructively detecting content of green tea composition
Technical field
The invention belongs to photoelectric detection technology field, especially, relate to the apparatus and method of the harmless fast detecting of a kind of green tea conventional ingredient content.
Background technology
Near infrared light is meant the electromagnetic wave of wavelength between visible range and middle infrared, and wavelength coverage 780nm~2500nm also can be divided into it shortwave near infrared (780nm~1100nm) and long wave near infrared (two zones of 1100nm~2500nm).The information of near infrared spectrum (NIR) is mainly derived from intramolecule vibration and causes and photonic absorption mainly reflect C-H in the molecule that N-H and O-H etc. contains the frequency multiplication and the sum of fundamental frequencies absorption of vibrations of hydrogen group.Near-infrared spectral analysis technology is that the information of utilizing the near-infrared spectra district to be comprised is carried out qualitative and quantitative analysis to material, it is the combination of spectral analysis technique and chemometrics method, by receiving reflectance spectrum or transmitted spectrum, and it is resolved with modern chemistry metrology method, just can carry out qualitative or quantitative test, in theory research and technology application, also be tending towards ripe material composition.Near-infrared spectral analysis technology has that testing process need not or seldom carry out sample pretreatment, detection speed soon, does not consume any reagent, environment is not polluted and is implemented in easily remarkable advantages such as line analysis.
From the fifties in last century, various countries have extensively carried out the research that tealeaves physics and chemistry is evaluated, the content of the physical behavior of discussion tealeaves and the various active chemicals of analysis tealeaves, and examination is sought physics and chemistry from the data of metering and is evaluated method evaluation tealeaves quality.And the formation of tealeaves color is extremely complicated, and the quality of tealeaves is an amount of suitable ratio of many compositions often, the result of combined action.Therefore, for the good and bad level identification of tealeaves, still generally adopt sensory review's method in present various countries and the international trade, and the important physical and chemical index of auxiliary measuring, grade as water, Tea Polyphenols, catechin, amino acid, caffeine, water extraction and ash.
General sense organ and the physics and chemistry of adopting of tealeaves evaluation is both at home and abroad evaluated the method that combines, the main at present content that adopts physico-chemical method to detect the tealeaves principal ingredient.Detecting the composition of estimating tealeaves in China's national standard is conventional sense projects such as amino acid, caffeine, Tea Polyphenols, moisture.Corresponding national standards is respectively GB/T8314-2002, GB/T 8312-2002, GB/T 8348-2002, GB/T 8304-2002, GB/T 8305-2002.China is the production and consumption big country of tealeaves, and the expense and the workload that are used for its composition detection every year are very huge.Tea product just relates to composition detection repeatedly from its preliminary working to deep processing with each link of sale.Conventional tea leaf composition physical and chemical inspection at present has higher accuracy and reliability, but tealeaves The pretreatment process is loaded down with trivial details, test is consuming time, cost is higher and to the destructiveness of sample, the professional testing staff of essential in addition outfit, so tea component physical and chemical inspection method can not finely satisfy actual production trade demand.
Summary of the invention
The objective of the invention is at the deficiencies in the prior art, a kind of device and method of rapidly and nondestructively detecting content of green tea composition is provided.
The objective of the invention is to be achieved through the following technical solutions: the device that a kind of green tea component content quick nondestructive detects, it mainly is made up of photosignal detection system and DSP embedded digital information processing system.Described photosignal detection system and DSP embedded digital information processing system all encapsulate in the enclosure.
The photosignal detection system mainly is made up of light source, first lens, circular unthreaded hole, second lens, chopper wheel, hysteresis synchronous motor, optical filter wheel, interference filter, stepper motor, secondary diaphragm, reflective mirror, standard white plate of diffuse reflectance, sample cell, rotation platform and near infrared detector.Described light source, first lens (2), circular unthreaded hole, second lens, chopper wheel, optical filter wheel and secondary diaphragm are arranged in order, described light source, first lens, circular unthreaded hole, second lens are coaxial, and the parallel axes of their axis and chopper wheel and optical filter wheel, vertical with the rotation center axis of sample cell, the driving shaft of hysteresis synchronous motor links to each other with chopper wheel, interference filter is evenly distributed on the optical filter wheel according to circular arrangement, optical filter wheel links to each other with the driving shaft of stepper motor, the sample cell bottom is a saturating infrared quartz glass sheet, the inner standard white plate of diffuse reflectance that embeds of sample cell, sample cell is placed on the rotation platform, rotation platform is fixed on the shell, the central axis of detector optics workplace and rotating sample pool rotation center axis angle at 45.Reflective mirror optics workplace and rotating sample pool rotation center axis angle at 45.Magnet is installed at the external standard white plate of diffuse reflectance workplace of sample cell place, and Hall element is installed on rotation platform.
The DSP embedded digital information processing system mainly is made up of instrument amplifier, low-pass filter and 24 high precision Delta-Sigma A/D converters, DSP digital signal processor, MSP430 single-chip microcomputer, USB2.0 communication interface and LCDs.Described instrument amplifier, low-pass filter and 24 high precision Delta-Sigma A/D converters and DSP digital signal processor are electrically connected successively, and the MSP430 single-chip microcomputer links to each other with the DSP digital signal processor respectively with the USB2.0 communication interface.
A kind of detection method of rapidly and nondestructively detecting content of green tea composition mainly may further comprise the steps:
(1) set up analytical model under the room temperature condition, it was realized by following two steps:
(a) utilize green tea all band near infrared spectrum,, extract the near infrared characteristic wavelength of four kinds of conventional ingredients of green tea according to characteristic wavelength systems of selection such as spectral characteristic and genetic algorithms.
(b) utilize multiple linear regression to set up the model of four kinds of conventional ingredients in the green tea.Model is a spectrum parameter with the absorbance of selected near infrared characteristic wave strong point, and model form is:
Figure A200810162600D00061
C = [ C ′ j ] b 1 b 2 · · · b j / ( b 1 + b 2 . . . + b j )
Figure A200810162600D00063
(2) get testing sample, in the sample cell of packing into, make the sample cell uniform rotation, thereby make sample and blank be alternately detected state.
(3) detection draws the absorbance at the green tea sample different characteristic wavelength place that can react amino acid in the green tea, caffeine, Tea Polyphenols and four kinds of conventional ingredient content of moisture, sets up the absorbance matrix.
(4), obtain the conventional ingredient content C of corresponding tested green tea with the absorbance matrix input relevant detection model of characteristic wave strong point Water, C Amino acid, C CaffeineAnd C Tea Polyphenols
The invention has the beneficial effects as follows: the present invention realizes the Non-Destructive Testing of conventional sense projects such as amino acid in the green tea, caffeine, Tea Polyphenols, moisture,, environmental protection more more quick, need not to carry out sample pretreatment than the physical and chemical inspection of conventional tea leaf composition, the testing result good reproducibility, testing cost is low.
Description of drawings
Fig. 1 is a principle of work synoptic diagram of the present invention;
Fig. 2 is an operational module block diagram of the present invention;
Fig. 3 is the reticle configuration synoptic diagram;
Fig. 4 is the optical filter wheel structural representation;
Fig. 5 is the device for mechanical structure vertical view of rapidly and nondestructively detecting content of green tea composition of the present invention;
Fig. 6 is the embedded standard white plate of diffuse reflectance principle of work of a rotating sample pool synoptic diagram.
Embodiment
At the long wave near infrared (in the SPECTRAL REGION of 1100nm~2500nm), at first according to green tea spectral characteristic and genetic algorithm equiwavelength system of selection, near infrared characteristic wavelength to four kinds of conventional ingredients in the green tea extracts, reject uncorrelated or non-linear variable, simplify green tea component content detection model, guarantee the reliability of model simultaneously.Near infrared green tea special ingredient and content detection device are according to selected signature analysis wavelength design, adopt optical filter type beam splitting system and rotating sample pool measurement mechanism, and the diffuse reflection standard white plate is embedded in the rotating sample pool, thereby realize replacing fast test sample and blank diffuse signal, when simplifying instrument physical construction, spectrum stability and sample detection speed have been improved.
The present invention utilizes near-infrared spectral analysis technology (Near-infrared Spectrum Technology) that the green tea principal ingredient is analyzed.The device of this rapidly and nondestructively detecting content of green tea composition provides high measurement accuracy spectrum, is the carrier of sample information, also is the hardware foundation of whole near-infrared spectral analysis technology; Supporting chemometrics method in order to eliminate or reduce various chemistry and non-chemically factor to the interference of spectrum, thereby set up quantitative relationship and sample type identifying information storehouse between green tea sample spectra and the tested green tea properties of samples; Green tea sample detection model is certain inner links between green tea sample chemical constituent data and the green tea sample near infrared spectrum data based on a large amount of sample datas.Detection model is an input quantity with the absorbance under the different wave length, is output quantity with amino acid, caffeine, Tea Polyphenols, 4 kinds of component contents of moisture in the green tea.After modelling finished, model also needed constantly to safeguard and upgrading, thereby better finishes the qualitative and quantitative detection of sample.
The principle of work of the device of rapidly and nondestructively detecting content of green tea composition of the present invention is, the light that the bromine tungsten filament lamp light source sends is after collimated, chopper collimation directional light carries out intensity modulation, again via interference filter, the light-dividing device beam split that optical filter wheel and stepper motor constitute, bandwidth is the monochromatic light incident rotating sample pool of 10nm-20nm then, diffuse reflection takes place in its bottom surface, diffuse and incide the InGaAs detector, the faint light electric signal of detector output is after instrument amplifier amplification and low-pass filtering, be converted to digital signal by 24 high precision Delta-Sigma A/D converters, this digital signal passes to the DSP digital signal processor again, calculate the diffuse reflection absorbance by digital processing unit at last, import green tea component content analytical model then and draw amino acid in the green tea sample, caffeine, the content of Tea Polyphenols and moisture, and on LCD, show in real time.Can also be interconnected by the USB2.0 interface computer that device carries, by computing machine spectroscopic data is managed.
Adopt the diffuse reflection method to measure the green tea absorption spectrum among the present invention, because green tea is different, after repeatedly measuring, gets by sample its spectrum mean value, utilize SNV in the spectrum prediction process and go trend (de-trending) method, reduced the influence of different sample solid particle sizes, surface scattering and change in optical path length the NIR diffuse reflection spectrum.The rotation of sample cell has improved the homogeneity of spectra collection, and the embedded standard white plate of rotating sample pool has further improved sample detection speed, and the stability of diffuse reflection spectrum.
Set up green tea near infrared spectrum storehouse among the present invention, what mainly consider when selecting calibration sample is the rejecting of singular point and the selection of representative sample, clustering method and K-S method have mainly been adopted, and the natural characteristic of each component of tealeaves has been used in synthetic study, set up the near infrared light spectrum model of amino acid, caffeine, Tea Polyphenols, four kinds of components of moisture in the green tea respectively, surveyed the spectrum that obtains and to carry out cubage by the corresponding model of Intelligence Selection.
The invention will be further described below in conjunction with accompanying drawing and example, and it is more obvious that purpose of the present invention and effect will become.
As shown in Figure 1, the device of green tea component content quick nondestructive detection of the present invention mainly is made up of photosignal detection system and DSP embedded digital information processing system two parts.Described photosignal detection system and DSP embedded digital information processing system all are encapsulated in the shell 24.
The photosignal detection system mainly is made up of light source 1, first lens 2, circular unthreaded hole 3, second lens 4, chopper wheel 5, hysteresis synchronous motor 6, optical filter wheel 7, interference filter 8, stepper motor 9, secondary diaphragm 11, reflective mirror 12, standard white plate of diffuse reflectance 48, sample cell 15, rotation platform 16 and near infrared detector 17.Described light source 1, first lens 2, circular unthreaded hole 3, second lens 4, chopper wheel 5, optical filter wheel 7 and secondary diaphragm 11 are arranged in order, described light source 1, first lens 2, circular unthreaded hole 3, second lens 4 are coaxial, and the parallel axes of their axis and chopper wheel 5 and optical filter wheel 7, vertical with the rotation center axis of sample cell 15, the driving shaft of hysteresis synchronous motor 6 links to each other with chopper wheel 5, interference filter 8 is evenly distributed on the optical filter wheel 7 according to circular arrangement, optical filter wheel 7 links to each other with the driving shaft of stepper motor 9, sample cell 15 bottoms are saturating infrared quartz glass sheet 10, the sample cell 15 inner standard white plate of diffuse reflectances 48 that embed, sample cell 15 is placed on the rotation platform 16, rotation platform 16 is fixed on the shell 24, the central axis of detector 17 optics workplaces and rotating sample pool 15 rotation center axis angle at 45.Reflective mirror 12 optics workplaces and rotating sample pool 15 rotation center axis angle at 45.Magnet 44 is installed at sample cell 15 external standard white plate of diffuse reflectances 48 workplace places, and Hall element 13 is installed on rotation platform 16, carries out the accurate location of angle by magnet 44 and Hall element 13, determines the position of the relative sample workplace of hot spot in real time.
The light that light source 1 sends collimates behind first lens 2, circular unthreaded hole 3 and second lens 4; Hysteresis synchronous motor 6 drives chopper wheel 5 aligning direct lights and carries out intensity modulation, and the intensity modulation frequency is in the 400Hz-1000HZ of low-frequency range scope; Light modulated is through becoming the monochromatic light of bandwidth 10nm-20nm behind the interference filter 8, optical filter wheel 7 is driven by stepper motor 9; Monochromatic light acts on through secondary diaphragm 11 and reflective mirror 12 again, the rotating sample pool 15 of the circular workplace of eccentric vertical incidence, and a saturating infrared quartz glass sheet 10 is arranged at rotating sample pool 15 bottoms, and rotating sample pool 15 bottoms embed standard white plate of diffuse reflectance 48; 15 uniform rotation of rotation platform 16 driven rotary sample cells, rotating sample pool 15 makes simultaneously surveys quick alternate sweep standard white plate of diffuse reflectance 48 of light and tealeaves sample 14, detector 17 is the InGaAs detector, near infrared detector 17 receives diffusing of tealeaves sample 14 and standard white plate of diffuse reflectance 48, output faint light electric signal.
The DSP embedded digital information processing system mainly is made up of instrument amplifier 18, low- pass filter 19 and 24 high precision Delta-Sigma A/D converters 20, DSP digital signal processor 21, MSP430 single-chip microcomputer 22, USB2.0 communication interface 23 and LCDs; Instrument amplifier 18, low- pass filter 19 and 24 high precision Delta-Sigma A/D converters 20 and DSP digital signal processor 21 are electrically connected successively, and MSP430 single-chip microcomputer 22 links to each other with DSP digital signal processor 21 respectively with USB2.0 communication interface 23.
Instrument amplifier 18 is directly inserted at detector 17 two ends after 2 precision resister biasings, the faint light electric signal of near infrared detector 17 outputs is amplified by instrument amplifier 18, through low-pass filter 19 noise reduction process, be converted to digital signal by 24 high precision Delta-Sigma A/D converters 20 at last again.21 pairs of digital signals of DSP digital signal processor are handled, and calculate absorbance and tealeaves principal ingredient content.Can be connected transmission diffuse reflection spectrum data and tealeaves principal ingredient content data in addition by USB2.0 communication interface 23 with computing machine.MSP430 single-chip microcomputer 22 is responsible for the control of bottom hardwares such as liquid crystal display, Hall element 45 and stepper motor 9.The DSP embedded signal processing system is FFT to digital signal and is handled, and calculates the average power of signal in effective modulated reference signal, with the main foundation of average power as absorbance calculating.Example: rotating sample pool rotates a circle, and successively calculates standard white plate of diffuse reflectance photosignal average power (P o) and the tealeaves sample electric signal average power (P) that diffuses, by diffuse reflection computing formula A=log (P o/ P) calculate sample diffuse reflection absorbance.
Embodiment
Fig. 3~5 show a specific embodiment of photosignal detection system of the present invention.The circle that rotating sample pool is placed on the rotation platform 25 tightens up in the bayonet socket, and rotation platform is by high-precision bearing and 40 assemblings of cylindrical encapsulation body.Active synchronization belt wheel 26 is by being with the driven rotary platform synchronously, and making it can smooth rotation.The rotating speed of driving pulley is by stepper motor 27, stepper motor driver 28 and the control of single-chip microcomputer pulse producer.When rotating sample pool rotates, at first being installed on the polychromatic light that the bromine tungsten filament lamp 34 on the accurate sliding bottom 36 of light source sends and collimating by transmission-type collimator objective 32, is that the hysteresis synchronous motor 30 of 3000R/M drives chopper wheels 42 and aims at direct lights and carry out the modulation of light intensity by rotating speed then.Then forming beam splitting system by stepper motor driver 31, stepper motor 33, optical filter wheel 43, interference filter and single-chip microcomputer pulse producer carries out light-splitting processing to light modulated, utilize the Hall angle positioning system to make the first work optical filter aim at the collimator objective unthreaded hole, make secondary color light modulated 37 become monochromatic light modulated 38.Chopper wheel and interference filter and optical filter wheel are installed are fixed in the obturator that packaging body 29 and solid-tight cover 41 constitute can effectively reduce the pollution to the interference filter surface of mechanical noise and dust.When the workplace of monochromatic light modulated incident rotating sample pool bottom, diffusing is detected device 39 reception generation faint light electric signal.After detection system detects blank diffuse signal and green tea sample diffuse signal respectively, according to the defined formula A=Lg (I of diffuse reflection absorbance o/ I) can calculate diffuse reflection absorbance under current first optical filter duty.When finishing the measurement of first optical filter, stepper motor driver 31 is provided with 64 segmentation patterns, just little stepping angle is 1.8/64 degree, make 360 ° of stepper motor rotations/14=25.714 °, 914 pulses of single-chip microcomputer pulse producer 25.714 °/(1.8 °/64) ≈ of output, make the second work optical filter aim at the collimator objective unthreaded hole again, and the like, up to measuring all interference filters.
As shown in Figure 2, the light that the bromine tungsten filament lamp light source is sent collimates, filters and handles and intensity modulation, makes it to become our desired modulated monochromatic light, retrodeviates heart vertical incidence sample cell through anti-infrared plane reflection mirror reflection again.The detector reception diffuses from sample cell, generates the faint light electric signal, and this photosignal is nursed one's health and gathered in the photoelectric signal collection system then.The DSP embedded signal processing system is done the digital band pass Filtering Processing to digital acquired signal, calculates the average power of modulation signal.With the main foundation of average power as absorbance calculating.Example: rotating sample pool rotates a circle, and successively calculates standard white plate of diffuse reflectance photosignal average power (P o) and the tealeaves sample electric signal average power (P) that diffuses, by diffuse reflection computing formula A=log (P o/ P) calculate sample diffuse reflection absorbance.DSP embedded signal disposal system is handled the signal that collects, and calculates absorbance, and the multiple linear regression model of measuring according to tea component is predicted the content of current sample composition then, and predicated error is no more than 5%.
The Device Testing method of above-mentioned rapidly and nondestructively detecting content of green tea composition specifically comprises the steps:
1. set up analytical model under the room temperature condition.
1) utilizes green tea all band (1000nm-2500nm) near infrared spectrum,, extract the near infrared characteristic wavelength of four kinds of conventional ingredients of green tea according to characteristic wavelength systems of selection such as spectral characteristic and genetic algorithms.
2) utilize multiple linear regression to set up the model of four kinds of conventional ingredients in the green tea.Model is a spectrum parameter with the absorbance of selected near infrared characteristic wave strong point, and model form is:
Figure A200810162600D00101
[C ' j] different detection model output component content matrixes,
Figure A200810162600D00102
Be the model coefficient matrix, A 1 · · · A n Be characteristic wave strong point absorbance matrix.
C = [ C ′ j ] b 1 b 2 · · · b j / ( b 1 + b 2 . . . + b j )
C ultimate constituent content value, b nWeight coefficient for each detection model.
Certain composition detection model is not unique, and prediction just has a plurality of models with a kind of composition, last several model output results' that predict the outcome weighted mean value.Weighted value is determined by factors such as current test environment, sample state and measurement number of times.
2. get testing sample, in the sample cell of packing into, make the sample cell uniform rotation, make sample and blank be alternately detected state.
Dress guarantees the elasticity unanimity of sample during sample as far as possible, and sample size can not be very few and cause light leakage phenomena to take place simultaneously.
3. draw the absorbance at the green tea sample different characteristic wavelength place that can react amino acid in the green tea, caffeine, Tea Polyphenols and four kinds of conventional ingredient content of moisture, set up the absorbance matrix.
As shown in Figure 6, the rotating sample pool rounded bottom surface is divided into two parts by " people " font structure 45, two sector regions at boundary, when surveying hot spot 46 parts on sample test surface 47, another part is on standard white plate of diffuse reflectance 48, can't characterize the true absorbance of sample and hickie, be invalid photosignal so define this photosignal that detects constantly, and defining these two sector regions is invalid facular area.A-b-c-d-e-f turns around when sample cell, and then the primary light electric signal is formed to connect successively by diffuse 4 sections photosignals of electric signal (b-c) and invalid photosignal (c-d) of sample diffuse reflection (d-e-f-a), invalid photosignal (a-b), blank.Computing formula A=Lg (I according to the diffuse reflection absorbance o/ I), A sample diffuse reflection absorbance in the formula, the irreflexive light intensity of I sample, I oThe irreflexive light intensity of standard white plate.The light intensity signal of the corresponding standard white plate reflection of valid data section in the b-c, the valid data counter sample strength signal that diffuses in the d-e-f-a.Sample cell revolve turn around after, just can obtain the sample absorbance under certain characteristic wavelength point.
For example adopt 10 optical filters, sample cell rotates the absorbance that can obtain under the work at present interference filter once enclosing, and repeats ten times and just can draw absorbance matrix [A 1A 2A 10]
4. with the absorbance matrix input relevant detection model of characteristic wave strong point, obtain corresponding tested green tea conventional ingredient content C Water, C Amino acid, C CaffeineAnd C Tea Polyphenols
The foregoing description is used for the present invention that explains, rather than limits the invention, and in the protection domain of spirit of the present invention and claim, any modification and change to the present invention makes all fall into protection scope of the present invention.

Claims (5)

1. the device that green tea component content quick nondestructive detects is characterized in that it mainly is made up of photosignal detection system and DSP embedded digital information processing system.Described photosignal detection system and DSP embedded digital information processing system all are encapsulated in the shell (24).
2. the device that green tea component content quick nondestructive according to claim 1 detects, it is characterized in that described photosignal detection system mainly is made up of light source (1), first lens (2), circular unthreaded hole (3), second lens (4), chopper wheel (5), hysteresis synchronous motor (6), optical filter wheel (7), interference filter (8), stepper motor (9), secondary diaphragm (11), reflective mirror (12), standard white plate of diffuse reflectance (48), sample cell (15), rotation platform (16) and near infrared detector (17).Described light source (1), first lens (2), circular unthreaded hole (3), second lens (4), chopper wheel (5), optical filter wheel (7) and secondary diaphragm (11) are arranged in order, described light source (1), first lens (2), circular unthreaded hole (3), second lens (4) are coaxial, and the parallel axes of their axis and chopper wheel (5) and optical filter wheel (7), vertical with the rotation center axis of sample cell (15), the driving shaft of hysteresis synchronous motor (6) links to each other with chopper wheel (5), interference filter (8) is evenly distributed on the optical filter wheel (7) according to circular arrangement, optical filter wheel (7) links to each other with the driving shaft of stepper motor (9), sample cell (15) bottom is a saturating infrared quartz glass sheet (10), the inner standard white plate of diffuse reflectance (48) that embeds of sample cell (15), sample cell (15) is placed on the rotation platform (16), rotation platform (16) is fixed on the shell (24), the central axis of detector (17) optics workplace and rotating sample pool (15) rotation center axis angle at 45.Reflective mirror (12) optics workplace and rotating sample pool (15) rotation center axis angle at 45.Magnet (44) is installed at the external standard white plate of diffuse reflectance of sample cell (15) (48) workplace place, goes up at rotation platform (16) Hall element (13) is installed.
3. the device that green tea component content quick nondestructive according to claim 1 detects, it is characterized in that described DSP embedded digital information processing system mainly is made up of instrument amplifier (18), low-pass filter (19) and 24 high precision Delta-Sigma A/D converters (20), DSP digital signal processor (21), MSP430 single-chip microcomputer (22), USB2.0 communication interface (23) and LCDs.Described instrument amplifier (18), low-pass filter (19) and 24 high precision Delta-Sigma A/D converters (20) and DSP digital signal processor (21) are electrically connected successively, and MSP430 single-chip microcomputer (22) links to each other with DSP digital signal processor (21) respectively with USB2.0 communication interface (23).
4. an application rights requires the detection method of 1 described device rapidly and nondestructively detecting content of green tea composition, it is characterized in that, may further comprise the steps:
(1) sets up analytical model under the room temperature condition.
(2) get testing sample, in the sample cell of packing into, make the sample cell uniform rotation, thereby make sample and blank be alternately detected state.
(3) detection draws the absorbance at the green tea sample different characteristic wavelength place that can react amino acid in the green tea, caffeine, Tea Polyphenols and four kinds of conventional ingredient content of moisture, sets up the absorbance matrix.
(4), obtain the conventional ingredient content C of corresponding tested green tea with the absorbance matrix input relevant detection model of characteristic wave strong point Water, C Amino acid, C CaffeineAnd C Tea Polyphenols
5. according to the described detection method of claim 4, it is characterized in that described step (1) specifically comprises:
(a) utilize green tea all band near infrared spectrum,, extract the near infrared characteristic wavelength of four kinds of conventional ingredients of green tea according to characteristic wavelength systems of selection such as spectral characteristic and genetic algorithms.
(b) utilize multiple linear regression to set up the model of four kinds of conventional ingredients in the green tea.Model is a spectrum parameter with the absorbance of selected near infrared characteristic wave strong point, and model form is:
C = [ C ′ j ] b 1 b 2 · · · b j / ( b 1 + b 2 . . . + b j ) ;
Wherein, [C ' j] different detection model output component content matrixes,
Figure A200810162600C00033
Be the model coefficient matrix, A 1 · · · A n Be characteristic wave strong point absorbance matrix; C is a ultimate constituent content value, b nWeight coefficient for each detection model.
CNA2008101626002A 2008-12-04 2008-12-04 A kind of device and method of rapidly and nondestructively detecting content of green tea composition Pending CN101424636A (en)

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CN104614336A (en) * 2015-03-08 2015-05-13 王利兵 Infrared spectral feature based chemical rapid discrimination method and device
CN107389599A (en) * 2017-07-27 2017-11-24 中国农业大学 A kind of near-infrared scattered reflection type spectrometer for milk constituents detection
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CN107727606A (en) * 2017-10-13 2018-02-23 中国科学院上海技术物理研究所 A kind of integrated spectral imaging method suitable for living resources detection
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CN107884359A (en) * 2017-10-13 2018-04-06 中国科学院上海技术物理研究所 A kind of standard reflection formula super continuous spectrums imaging method
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