CN107328735A - Rape species discrimination method based on terahertz light spectral technology - Google Patents

Rape species discrimination method based on terahertz light spectral technology Download PDF

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CN107328735A
CN107328735A CN201710762706.5A CN201710762706A CN107328735A CN 107328735 A CN107328735 A CN 107328735A CN 201710762706 A CN201710762706 A CN 201710762706A CN 107328735 A CN107328735 A CN 107328735A
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rape
terahertz
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聂鹏程
瞿芳芳
何勇
董涛
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Zhejiang University ZJU
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    • 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
    • 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
    • G01N21/84Systems specially adapted for particular applications
    • G01N2021/8466Investigation of vegetal material, e.g. leaves, plants, fruits

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Abstract

The invention discloses a kind of rape species discrimination method based on terahertz light spectral technology, rape leaf sample is selected from the rape of two kinds of different cultivars respectively, the terahertz time-domain spectroscopy of reference signal and rape leaf is gathered using terahertz time-domain spectroscopy instrument;Terahertz time-domain spectroscopy is converted into Terahertz frequency domain spectra;Optical transmission spectra, refractive index spectra, absorption coefficient spectrum and extinction coefficient spectrum are extracted from Terahertz frequency domain spectra;Classification and Identification is carried out respectively to 4 kinds of optical parametric spectrum of 2 kinds of rapes after spectral manipulation, realizes that the rape species based on terahertz light spectral technology differentiates.Patent utilization terahertz light spectral technology of the present invention, study the differentiation appraisal to different cultivars rape, there is certain theory and practice directive significance to the technology platform, the optimal screening to rape variety and breeding fine-grained management for setting up rape variety Rapid identification, application prospects of the THz in agricultural, agricultural product cultivar identification field is illustrated.

Description

Rape species discrimination method based on terahertz light spectral technology
Technical field
The present invention relates to the kind differentiating method of rape, more particularly to a kind of rape species based on terahertz light spectral technology Discrimination method.
Background technology
Rape is general designation of the several crop for producing oil expression seed of Cruciferae Brassica genus on agronomy.Rape It is one of the topmost oil seed production raw material of China and industrial crops, accounts for more than the 40% of China's oil plant industrial crops gross area, More than the 30% of total oil-bearing crops.Rape mainly produces crop as oil plant, in its rapeseed oil rich in oleic acid, linoleic acid etc. no Saturated fatty acid, with the health-care efficacy such as prevention of cardiovascular disease and reduction serum cholesterol in humans.In China, about 15 Individual different rape variety, the rape of different cultivars has certain morphological feature, the specificity of yield traits and the difference of stability It is different, quality can be identified by analyzing kind hereditary capacity or the identification of rape variety is carried out with other breed differences.Oil Dish cultivar identification is the excellent rape variety of screening, guarantee yield of Brassica napus L, breed improvement and the basis of optimization, is also to realize seed The basis of quality standardization, protection breed breeding person and user's interests.Therefore the technology for setting up rape variety Rapid identification is put down Platform tool is of great significance.
For the identification of rape variety, PAGE argentations are generally used at present, but there is detection efficiency in this detection method Relatively low, poor repeatability, the shortcomings of accurately can not recognize clip size;In addition, also SSR fluorescence labelings capillary electrophoresis detection skill Art, but this technology is the fingerprint identification based on DNA, complex operation, takes time and effort;Such detection method is needed in sample preparation Expend considerable time and effort, some waste liquid discarded objects etc. cause severe contamination to environment, and destructive test will make plant Thing growth course can not continue, at the same long detection time can not ensure data ageing and different sample measurement data it Between synchronism.
With the fast development of spectral technique, near infrared spectrum detection method, EO-1 hyperion detection method, Electromagnetic Wave Detection method and too Hertz wave spectrum (Terahert, THz) detection method is widely used in floristics and differentiates research.Due to substantial amounts of macromolecular vibration and Rotational energy level shows very strong absorption and resonance all in terahertz wave band (0.1~10THz) in terahertz wave band, and The tera-hertz spectra of material includes abundant physical message and chemical information.For most organic-biological macromolecular, too Hertz wave band has fingerprint characteristic, can be used for the differentiation identification of material.Avoid biology thin in addition, Terahertz photon energy is low The photoionization damage of born of the same parents.Terahertz has stronger penetrability, can penetrate as this relatively thin biological specimen of rape leaf.Cause This, tera-hertz spectra detection technique has certain advantage on the rape leaf for differentiating different cultivars.
The present invention is carried out using the fingerprint, high-penetration, low damaging of Terahertz Technology using terahertz light spectral technology Cultivar identification based on rape leaf.The rape in two different cultivars in identical growing environment identical growth period is selected in experiment, The time-domain spectroscopy of rape leaf is gathered by terahertz time-domain spectroscopy instrument transmission-type module, by Fourier transformation by time-domain spectroscopy Be converted to frequency domain spectra, then extraction Terahertz optical transmission spectra, refractive index spectra, absorption coefficient light on the basis of frequency domain spectra Spectrum and extinction coefficient spectrum.Then pretreatment optimization is carried out to 4 kinds of optical parametric spectrum, finally linearly sentenced using offset minimum binary Do not analyze and identification is made a distinction to the rape of two kinds.Invention is put down to the technology for setting up rape variety Rapid identification Platform, the optimal screening to rape variety and breeding fine-grained management have certain theory and practice directive significance.
The content of the invention
To overcome the problems of prior art, the invention provides a kind of rape product based on terahertz light spectral technology Plant authentication method.
A kind of rape species discrimination method based on terahertz light spectral technology, comprises the following steps:
(1) rape leaf sample is selected from the rape of two kinds of different cultivars respectively, is adopted using terahertz time-domain spectroscopy instrument Collect the terahertz time-domain spectroscopy of reference signal and rape leaf;Terahertz time-domain spectroscopy is converted into Terahertz frequency domain spectra;
(2) optical transmission spectra, refractive index spectra, absorption coefficient spectrum and extinction coefficient are extracted from Terahertz frequency domain spectra Spectrum;And 4 kinds of optical parametric spectrum are smoothly pre-processed;
(3) class number of two kinds of rapes is entered as 1 and -1 respectively, then by class number's information respectively with it is smooth pre- 4 kinds of optical parametric spectral informations after processing carry out offset minimum binary linear discriminant analysis modeling;
(4) rape leaf of two kinds of different cultivars rapes is sample in collection such as step (1), obtains the terahertz of rape leaf Hereby time-domain spectroscopy, brings into step (3) institute established model after being handled through step (2), carries out the discriminating of rape variety.Implement the present invention Method can use time domain tera-hertz spectra transmission-type scanning system, and laser is Ti∶Sapphire laser femtosecond laser oscillator;Wavelength: 800nm;Repetition rate:80MHz;Frequency range:0.1~3.5THz;Pulse width:50fs;Mean power:500m W;
Preferably, select 2 rape varieties in step (1) are respectively fresh oil 6 and ridge oil 6.At 2 kinds of rapes In identical growing environment and identical growth period.
Preferably, select in step (1) and step (4) grow fine, plant height is close, no disease and pests harm, healthy growth Rape leaf;The rape of two kinds is in identical planting environment, identical growth period.
Carried out preferably, choosing 3 different point positions when gathering the terahertz time-domain spectroscopy of rape leaf sample every time Collection, each point three spectrum of position repeated acquisition.The point position for gathering rape leaf terahertz time-domain spectroscopy is mesophyll part, it is to avoid Vein part.
Preferably, the rape sample of 2 kinds in step (1) chooses the rapeseed plants in florescence, plant height about 80cm, Select apart from ground about 60cm, grow fine, the fresh rape leaf that blade is complete, no disease and pests harm, size are close.Each collection 40 The spectrum of individual blade.For each rape leaf sample, select mesophyll position, avoid vein position, 3 different points are gathered altogether Position, each point position repeated acquisition 3 times, gather 9 time-domain spectroscopies, this 9 spectrums are taken into the average time domain final as the blade altogether Spectrum.The time of integration is 39.2ps, and the sampling number of time-domain spectroscopy is 1000, and temporal resolution is 39.2fs.
Preferably, in detection process, drying nitrogen is filled into pattern detection storehouse, air humidity is controlled less than 5%, and Using the transmission scan module of terahertz time-domain spectroscopy system, obtain reference signal time-domain spectroscopy using drying nitrogen as background and The terahertz time-domain spectroscopy of rape leaf.
The temporal resolution of terahertz time-domain spectroscopy is 39.2fs (femtosecond).
Frequency domain spectra is obtained after being fourier transformed in step (2), it is 0.1~3.5THz, frequency point to take band limits Resolution is 25.5GHz.
Preferably, extracting the higher 0.3~2THz frequency ranges of signal to noise ratio for 4 kinds of optical parametric spectrum in step (2) After optical transmission spectra, refractive index spectra, absorption coefficient spectrum, extinction coefficient spectrum, chosen spectrum scope is 0.3~2THz spectrum Duan Jinhang offset minimum binaries linear discriminant analysis (PLS-LDA) is modeled.
Optical transmission spectra, refractive index spectra, absorption coefficient spectrum and extinction coefficient light are extracted based on Terahertz frequency domain spectra The model that spectrum is extracted using THz optical parametrics, with reference to following document.
1.Duvillaret,L.;Garet,F.;Coutaz,J.L.,Highly precise determination of optical constants and sample thickness in terahertz time-domain spectroscopy.Appl.Opt.1999,38(2),409.
2.Duvillaret,L.;Garet,F.;Coutaz,J.L.,A reliable method for extraction of material parameters in terahertz time-domain spectroscopy.IEEE J.Sel.Top.Quantum Electron.2002,2(3),739-746.
3.Dorney,T.D.;Baraniuk,R.G.;Mittleman,D.M.,Material parameter estimation with terahertz time-domain spectroscopy.Journal of the Optical Society of America A Optics Image Science&Vision 2001,18(7),1562.
Preferably, the method for the smoothing processing is that Savitzky-Golay is smooth.To reach the purpose of denoising optimization.
Preferably, the type number difference amplitude of two kinds of rapes is 1 and -1 in step (3), then with the 4 of two kinds of rapes Kind optical parametric spectrum carries out offset minimum binary linear discriminant analysis method and is modeled respectively.
The present invention obtains time-domain spectroscopy of two kinds of rape leafs in 0-39.2ps;Time-domain spectroscopy is subjected to Fourier transformation Obtain the frequency spectrum in the range of 0.1~3.5THz;According to frequency spectrum, extract in the range of 0.3 higher~2THz of signal to noise ratio Optical transmission spectra, refractive index spectra, absorption coefficient spectrum, extinction coefficient spectrum;Using 4 kinds of light in the range of 0.3~2THz Learn class number of the parameter spectrum respectively with two kinds of rapes and carry out offset minimum binary linear discriminant analysis modeling, according to model result Analyze the feasibility and accuracy of the rape variety authentication method based on terahertz light spectral technology.
Patent utilization terahertz light spectral technology of the present invention, studies the differentiation appraisal to different cultivars rape, to setting up The technology platform of rape variety Rapid identification, the optimal screening to rape variety and breeding fine-grained management have certain theory With practical advice meaning, application prospects of the THz in agricultural, agricultural product cultivar identification field is illustrated.
The sensitivity that PLS-LDA models are built based on optical transmission spectra be 0.7602, specificity be 0.8578, it is optimal most into Fraction is that 4, accuracy is 0.875;The sensitivity for building PLS-LDA models based on refractive index spectra is that 0.8253, specificity is 0.8247th, optimal most component number is that 5, accuracy is 0.8875;The sensitivity of PLS-LDA models is built based on absorption coefficient spectrum It is that 0.7619, optimal most component number is that 3, accuracy is 0.8375 for 0.8057, specificity;Built based on extinction coefficient spectrum The sensitivity of PLS-LDA models is that 0.7939, specificity is that 0.7936, optimal most component number is that 3, accuracy is 0.8375.
For the rape species discrimination method based on terahertz light spectral technology, compared to it is traditional such as PAGE argentations and SSR fluorescence labeling capillary electrophoresis detection technologies etc., tera-hertz spectra detection technique due to fingerprint characteristic, high-penetration, Unique characteristic such as coherence, transient response, strong absorptive, low energy damaging.Therefore, tera-hertz spectra is to be used for rape One of scientific method that species differentiates.
Brief description of the drawings
Fig. 1:In the range of 0.3~2THz under 4 kinds of optical parametric spectrum two kinds of rapes averaged spectrum.A
Optical transmission spectra;B refractive index spectras;C absorption coefficient spectrum;D extinction coefficient spectrum.
Fig. 2:Offset minimum binary linear discriminant analysis result.A optical transmission spectras;B refractive index spectras;
C absorption coefficient spectrum;D extinction coefficient spectrum.
Embodiment
Implement a kind of rape species discrimination method based on terahertz light spectral technology herein, comprise the following steps:
(1) sample prepares:Oily No. 6 the two rape varieties of fresh oil 6 and ridge are chosen, are mustard type rape, it is general logical Cross and be visually difficult to differentiate between its kind.Two kinds of rapes are planted in greenhouse simultaneously, growing environment is that sunshine duration is about 10h, temperature 24 degree of degree, humidity 65%.Apply appropriate moisture daily, to ensure the normal growth of rape.
(2) spectra collection:Laboratory apparatus is using CIP-THz transmission scan systems, the drying nitrogen being full of into sample storehouse, Internal system humidity is set to be less than 5%.Entirely sweep during spectrum, test constant indoor temperature 294K, relative humidity perseverance is less than 20%.First adopt Integrate the reference spectra using nitrogen as background, 40 blades are then respectively taken from two kinds of rapes, it is desirable to be identical leaf position, high apart from ground The roughly the same, leaf blade size of degree is close, healthy no disease and pests harm.The different point positions of each blade selection 3 (selection mesophyll part, Avoid vein position), it is each to put position repeated acquisition 3 times.9 time-domain spectroscopies of acquisition are taken into the average Terahertz as the sample Time-domain spectroscopy.
(3) spectral manipulation:The sample terahertz time-domain spectroscopy gathered is subjected to Fourier transformation, corresponding frequency is converted into Domain modal data, is then carried according to Duvillaret, Timothy etc. (referring to the document recorded before such as) THz optical parametrics proposed The model taken, calculates transmitance T (ω), refractive index n (ω), absorption coefficient (ω), the extinction coefficient k for obtaining institute's test sample product (ω) these four main optical parametric spectrum.The band limits of extraction is 0.3~2THz, then using Savitzky-Golay side Method carries out smoothing denoising processing to transmissivity spectrum.Model inference process is as follows:
The frequency-domain waveform of terahertz sources is E0(ω), the transmitting frequency-domain waveform as reference light that detector is directly received Compose Eref(ω), through sample after the frequency-domain waveform that receives of detector be sample signal Esample(ω).The sample of measurement is grand Complex refractivity index can be used by seeing optical propertyRepresent:
Wherein, n (ω) is the actual refractive index of sample, and it describes the dispersion of sample;K (ω) is extinction coefficient, it The absorption characteristic of sample is described.ω=2 π f, f are frequency.Free space air refraction is 1, then reference spectra Eref (ω) expression formula is:
L be terahertz pulse in the distance of free-space propagation, c is the light velocity, and the signal spectrum through sample is represented by:
Wherein d is thickness of sample, and 1/ (n (ω)+1) and 2n (ω)/(n (ω)+1) are respectively the incident sample of terahertz pulse With the transmission coefficient of outgoing sample.Therefore, terahertz pulse passes through the transmissivity after sample to be expressed as:
Refractive index and absorption coefficient can be obtained by Fresnel relations:
Refractive index:
Absorption coefficient:
(4) model is set up:Class number's difference amplitude by two kinds of rapes is 1 and -1, then with passing through Savitzky- 4 kinds of optical parametric spectrum after the processing of Golay methods carry out offset minimum binary linear discriminant analysis modeling respectively.According to model knot Fruit carries out the cultivar identification of two kinds of rapes, and its result is:The sensitivity for building PLS-LDA models based on optical transmission spectra is 0.7602nd, specificity is that 0.8578, optimal most component number is that 4, accuracy is 0.875;PLS-LDA is built based on refractive index spectra The sensitivity of model is that 0.8253, specificity is that 0.8247, optimal most component number is that 5, accuracy is 0.8875;It is based on absorbing The sensitivity that number spectrum builds PLS-LDA models is that 0.8057, specificity is that 0.7619, optimal most component number is that 3, accuracy is 0.8375;The sensitivity that PLS-LDA models are built based on extinction coefficient spectrum be 0.7939, specificity be 0.7936, it is optimal most Component number is that 3, accuracy is 0.8375.Illustrating can accurate identification identification using 4 kinds of optical parametric spectrum of Terahertz Go out the rape of two kinds, there is important promotional value in agricultural breeding seed selection.

Claims (8)

1. a kind of rape species discrimination method based on terahertz light spectral technology, it is characterised in that comprise the following steps:
(1) rape leaf sample is selected from the rape of two kinds of different cultivars respectively, is gathered and joined using terahertz time-domain spectroscopy instrument Examine the terahertz time-domain spectroscopy of signal and rape leaf;Terahertz time-domain spectroscopy is converted into Terahertz frequency domain spectra;
(2) optical transmission spectra, refractive index spectra, absorption coefficient spectrum and extinction coefficient light are extracted from Terahertz frequency domain spectra Spectrum;And 4 kinds of optical parametric spectrum are smoothly pre-processed;
(3) class number of two kinds of rapes is entered as 1 and -1 respectively, then respectively with passing through the 4 kinds of optics smoothly pre-processed Parameter spectrum carries out offset minimum binary linear discriminant analysis modeling;
(4) rape leaf of two kinds of different cultivars rapes is sample in collection such as step (1), when obtaining the Terahertz of rape leaf Domain spectrum, brings into step (3) institute established model after being handled through step (2), carries out the discriminating of rape variety.
2. rape species discrimination method according to claim 1, it is characterised in that select growing way in step (1) and step (4) Well, plant height is close, no disease and pests harm, the rape leaf of healthy growth;The rape of two kinds is in identical planting environment, identical Growth period.
3. rape species discrimination method according to claim 1, it is characterised in that the terahertz of collection rape leaf sample every time Hereby choose 3 different point positions during time-domain spectroscopy to be acquired, each point three spectrum of position repeated acquisition.Gather rape leaf too The point position of hertz time-domain spectroscopy is mesophyll part.
4. rape species discrimination method according to claim 1, it is characterised in that in detection process, to pattern detection storehouse Drying nitrogen is inside filled, control air humidity is less than 5%, and using the transmission scan module of terahertz time-domain spectroscopy system, obtains The terahertz time-domain spectroscopy of reference signal time-domain spectroscopy and rape leaf by background of drying nitrogen.
5. rape species discrimination method according to claim 1, it is characterised in that the temporal resolution of terahertz time-domain spectroscopy For 39.2fs.
6. method according to claim 1, it is characterised in that the frequency discrimination of the Terahertz frequency domain spectra after being fourier transformed Rate is 25.5GHz, and spectral range is 0.1~3.5THz.
7. method according to claim 1, it is characterised in that extract Terahertz optical transmission spectra, refractive index spectra, absorb system After number spectrum, extinction coefficient spectrum, chosen spectrum scope carries out offset minimum binary linear discriminant analysis for 0.3~2THz spectral coverage (PLS-LDA) model.
8. method according to claim 1, it is characterised in that the method smoothly pre-processed is flat for Savitzky-Golay It is sliding.
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Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108458989A (en) * 2018-04-28 2018-08-28 江苏建筑职业技术学院 A kind of Coal-rock identification method based on Terahertz multi-parameter spectrum
CN109187422A (en) * 2018-11-07 2019-01-11 浙江大学 The recognition methods by diaphania harm initial stage mulberry leaf based on terahertz light spectral technology
CN110108647A (en) * 2019-04-30 2019-08-09 深圳市太赫兹科技创新研究院有限公司 A kind of discrimination method and identification system of meat kind
CN111351766A (en) * 2020-02-27 2020-06-30 浙江大学 Method for rapidly identifying identity of pumpkin seeds
CN112666119A (en) * 2020-12-03 2021-04-16 山东省科学院自动化研究所 Method and system for detecting ginseng tract geology based on terahertz time-domain spectroscopy
CN113390819A (en) * 2021-06-11 2021-09-14 西南科技大学 Terahertz sensor

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104316487A (en) * 2014-09-19 2015-01-28 北京环境特性研究所 Forbidden objects detection method and device
CN106525759A (en) * 2016-10-11 2017-03-22 中国农业大学 Method for identifying honey varieties based on attenuated total reflection terahertz dielectric spectrum
CN106959284A (en) * 2017-03-27 2017-07-18 江苏大学 A kind of detection method for distinguishing transgenic corns and non-transgenic corn

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104316487A (en) * 2014-09-19 2015-01-28 北京环境特性研究所 Forbidden objects detection method and device
CN106525759A (en) * 2016-10-11 2017-03-22 中国农业大学 Method for identifying honey varieties based on attenuated total reflection terahertz dielectric spectrum
CN106959284A (en) * 2017-03-27 2017-07-18 江苏大学 A kind of detection method for distinguishing transgenic corns and non-transgenic corn

Non-Patent Citations (5)

* Cited by examiner, † Cited by third party
Title
刘宇佳等: "基于红外光谱技术的航空润滑油判别分析", 《当代化工》 *
刘民法等: "近红外高光谱技术鉴别长枣表面的农药种类", 《食品研究与开发》 *
左剑等: "叶子中水含量的太赫兹光谱研究", 《中国光学学会2011年学术大会摘要集》 *
袁叶辉: "太赫兹Mesh带通滤波器研究", 《中国优秀硕士学位论文全文数据库 信息科技辑》 *
隋媛媛等: "基于叶绿素荧光光谱指数的温室黄瓜病害预测", 《光谱学与光谱分析》 *

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108458989A (en) * 2018-04-28 2018-08-28 江苏建筑职业技术学院 A kind of Coal-rock identification method based on Terahertz multi-parameter spectrum
CN108458989B (en) * 2018-04-28 2020-10-09 江苏建筑职业技术学院 Terahertz multi-parameter spectrum-based coal rock identification method
CN109187422A (en) * 2018-11-07 2019-01-11 浙江大学 The recognition methods by diaphania harm initial stage mulberry leaf based on terahertz light spectral technology
CN110108647A (en) * 2019-04-30 2019-08-09 深圳市太赫兹科技创新研究院有限公司 A kind of discrimination method and identification system of meat kind
CN111351766A (en) * 2020-02-27 2020-06-30 浙江大学 Method for rapidly identifying identity of pumpkin seeds
CN112666119A (en) * 2020-12-03 2021-04-16 山东省科学院自动化研究所 Method and system for detecting ginseng tract geology based on terahertz time-domain spectroscopy
CN113390819A (en) * 2021-06-11 2021-09-14 西南科技大学 Terahertz sensor
CN113390819B (en) * 2021-06-11 2022-12-06 西南科技大学 Terahertz sensor

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