CN110108648B - Method and system for identifying dried orange peel - Google Patents

Method and system for identifying dried orange peel Download PDF

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CN110108648B
CN110108648B CN201910359391.9A CN201910359391A CN110108648B CN 110108648 B CN110108648 B CN 110108648B CN 201910359391 A CN201910359391 A CN 201910359391A CN 110108648 B CN110108648 B CN 110108648B
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sample
terahertz
pericarpium citri
citri reticulatae
identified
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CN110108648A (en
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杨少壮
李辰
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Shenzhen Institute of Terahertz Technology and Innovation
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Shenzhen Institute of Terahertz Technology and Innovation
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Abstract

The invention is suitable for the technical field of pericarpium citri reticulatae identification, and provides an identification method and an identification system of pericarpium citri reticulatae, wherein the identification method comprises the following steps: obtaining a dried orange peel sample to be identified; obtaining terahertz spectrum information of the dried orange peel sample to be identified by using a terahertz spectrometer; according to the terahertz spectrum information of the pericarpium citri reticulatae sample to be identified, the pericarpium citri reticulatae variety and the storage life of the pericarpium citri reticulatae sample to be identified are determined by using the terahertz spectrum difference information of the pericarpium citri reticulatae of different pericarpium citri reticulatae varieties and different storage lives which is obtained in advance, so that the accurate identification of the pericarpium citri reticulatae variety and the storage life is realized, and the technical problem that the variety and the storage life of the pericarpium citri reticulatae cannot be accurately determined due to the single information amount of the obtained pericarpium citri reticulatae sample is solved.

Description

Method and system for identifying dried orange peel
Technical Field
The invention belongs to the technical field of pericarpium citri reticulatae identification, and particularly relates to an identification method and an identification system of pericarpium citri reticulatae.
Background
The pericarpium Citri Tangerinae belongs to Citrus of Rutaceae, contains flavonoid compounds such as hesperidin, nobiletin and hesperetin and other volatile oil, and its finished product or extract can be widely used in cosmetics, foods and medicinal materials. The production place, variety, preparation process and storage life of the dried orange peel have great influence on the components and the quality of the dried orange peel, the dried orange peel is mellow after being placed for a long time, the longer the storage time is, the more precious the storage time is, the better the drug effect is, so the theory of 'good for the old person' is provided. In addition, Guang Chen Pi is preferred, especially Guang Xin Hui produced in Guangdong province. As the old Guangdong dried orange peels in high ages are high in price, lawless people feel good, and the whole market is confused by using the other producing areas to fake Guangdong dried orange peels and using the new dried orange peels to make the old fake Guangdong dried orange peels. Therefore, the method has important practical application value for identifying the variety and the storage life of the dried orange peel. The quality difference of the dried orange peels produced in different producing areas is large, and the chemical components of the dried orange peels also change correspondingly along with the difference of storage time.
At present, the orange peel sample to be detected can be subjected to spectrum detection and analysis by using infrared, hyperspectral technology, Raman spectrum and other technologies, and the orange peel variety and the storage life can be identified by distinguishing the spectrum difference (such as near-infrared absorption peak, Raman characteristic peak and the like) between different varieties and orange peels in storage time, however, the orange peel sample obtained by the method has single information amount and poor identification sensitivity, and the variety and the storage life of the orange peel cannot be accurately determined.
Disclosure of Invention
In view of this, the embodiment of the present invention provides an identification method and an identification system for pericarpium citri reticulatae, which can solve the problem that the variety and storage life of pericarpium citri reticulatae cannot be accurately determined.
The first aspect of the embodiment of the invention provides a method for identifying dried orange peel, which comprises the following steps:
obtaining a dried orange peel sample to be identified;
obtaining terahertz spectrum information of the dried orange peel sample to be identified by using a terahertz spectrometer; the terahertz spectrum information includes: one or more information of the terahertz time-domain spectrum, the terahertz frequency-domain spectrum, the refractive index, the absorption coefficient, the dielectric constant and the dielectric constant loss angle tangent value of the pericarpium citri reticulatae sample to be identified;
according to the terahertz spectrum information of the dried orange peel sample to be identified, the dried orange peel variety and the storage life of the dried orange peel sample to be identified are determined by utilizing the terahertz spectrum difference information of the dried orange peels of different dried orange peel varieties and different storage lives, which is obtained in advance.
Optionally, the obtaining of the terahertz spectrum difference information of the tangerine peels of different tangerine peel varieties and different storage years includes: collecting pericarpium Citri Tangerinae samples of different pericarpium Citri Tangerinae varieties and different storage life; obtaining terahertz spectrum information of pericarpium citri reticulatae samples of different storage years of each pericarpium citri reticulatae to obtain a terahertz spectrum information database containing the terahertz spectrum information of the pericarpium citri reticulatae of different pericarpium citri reticulatae varieties in each storage year; and clustering the terahertz spectrum information of the dried orange peels of different dried orange peel varieties in each storage life in the terahertz spectrum information database to obtain the terahertz spectrum difference information of the dried orange peels of different dried orange peel varieties and different storage lives.
Optionally, the obtaining of the terahertz spectrum information of the pericarpium citri reticulatae sample to be identified by using the terahertz spectrometer includes: and acquiring a terahertz spectrum signal of the pericarpium citri reticulatae sample to be identified by using a terahertz spectrometer comprising a transmission module, and processing the terahertz spectrum signal to obtain terahertz spectrum information of the pericarpium citri reticulatae sample to be identified.
Optionally, the transmission module includes an optical integrating sphere body, an entrance window and an exit window provided on the optical integrating sphere body, and a detachable transmission sample holder fitted with the optical integrating sphere body; the detachable transmission sample placing rack is used for placing the dried orange peel sample to be identified; the entrance window is used for enabling first sample light generated by the dried orange peel sample to be identified through terahertz wave irradiation to enter the optical integrating sphere body, and the first sample light is emitted from an exit window of the optical integrating sphere body after being subjected to diffuse reflection by the optical integrating sphere body.
Optionally, the transmission module comprises a sample chamber and a stage disposed in the sample chamber; the terahertz spectrometer includes: the terahertz radiation detection device comprises a laser light source, a beam splitter, a terahertz radiation antenna and a terahertz detection antenna; the method for acquiring the terahertz spectrum information of the pericarpium citri reticulatae sample to be identified by using the terahertz spectrometer comprises the following steps: laser emitted by the laser light source is divided into detection light and pumping light by the beam splitter; the detection light is emitted into the terahertz detection antenna; the pumping light irradiates the terahertz radiation antenna to emit terahertz waves; the terahertz waves are emitted into a sample bin of the transmission module and irradiate the dried orange peel sample to be identified on the objective table to generate second sample light; the second sample light is emitted from the transmission module and then reaches the terahertz detection antenna; the terahertz detection antenna receives the detection light and second sample light emitted from the transmission module to obtain a sample terahertz spectrum signal.
Optionally, the obtaining of the pericarpium citri reticulatae sample to be identified includes: and (3) placing the original dried orange peel sample at a preset temperature for drying treatment to obtain the dried orange peel sample to be identified.
Optionally, the obtaining of the pericarpium citri reticulatae sample to be identified further includes: drying an original pericarpium citri reticulatae sample at a preset temperature, and then crushing to obtain pericarpium citri reticulatae powder; and mixing the dried orange peel powder with high-density polyethylene powder, and tabletting to obtain the dried orange peel sample to be identified.
The second aspect of the embodiments of the present invention provides an identification system for pericarpium citri reticulatae, including:
the sample acquisition device is used for acquiring a dried orange peel sample to be identified;
the terahertz spectrometer is used for acquiring terahertz spectrum information of the pericarpium citri reticulatae sample to be identified by utilizing the terahertz spectrometer; the terahertz spectrum information includes: one or more information of the terahertz time-domain spectrum, the terahertz frequency-domain spectrum, the refractive index, the absorption coefficient, the dielectric constant and the dielectric constant loss angle tangent value of the pericarpium citri reticulatae sample to be identified;
and the identification device is used for determining the dried orange peel varieties and the storage years of the dried orange peel samples to be identified by using the pre-acquired terahertz spectrum difference information of the dried orange peels of different dried orange peel varieties and different storage years according to the terahertz spectrum information of the dried orange peel samples to be identified.
Optionally, the sample acquiring device is further used for acquiring pericarpium citri reticulatae samples of different pericarpium citri reticulatae varieties and different storage years; the terahertz spectrometer is further used for: obtaining terahertz spectrum information of pericarpium citri reticulatae samples of different storage years of each pericarpium citri reticulatae to obtain a terahertz spectrum information database containing the terahertz spectrum information of the pericarpium citri reticulatae of different pericarpium citri reticulatae varieties in each storage year; the identification device is also used for clustering the terahertz spectrum information of the dried orange peels of different dried orange peel varieties in different storage years in the terahertz spectrum information database to obtain the terahertz spectrum difference information of the dried orange peels of different dried orange peel varieties and different storage years.
Optionally, the terahertz spectrometer comprises a transmission module.
In the embodiment of the invention, multi-dimensional terahertz spectrum information of a dried orange peel sample to be identified is obtained by using a terahertz spectrometer; and according to the multi-dimensional terahertz spectrum information of the pericarpium citri reticulatae sample to be identified, determining the pericarpium citri reticulatae variety and the storage life of the pericarpium citri reticulatae sample to be identified by using the terahertz spectrum difference information of the pericarpium citri reticulatae of different pericarpium citri reticulatae varieties and different storage lives which is obtained in advance, realizing the accurate identification of the pericarpium citri reticulatae variety and the storage life, and solving the technical problem that the variety and the storage life of the pericarpium citri reticulatae cannot be accurately determined due to the single information amount of the obtained pericarpium citri reticulatae sample.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
Fig. 1 is a schematic flow chart illustrating an implementation of a method for identifying pericarpium citri reticulatae according to an embodiment of the present invention;
fig. 2 is a schematic flow chart of a specific implementation of step 103 of the method for identifying pericarpium citri reticulatae according to the embodiment of the present invention;
FIG. 3 is a schematic diagram of a transmission module provided by an embodiment of the invention;
FIG. 4 is a schematic diagram of a first structure of a terahertz spectrometer provided by an embodiment of the invention;
FIG. 5 is a second structural schematic diagram of a terahertz spectrometer provided by an embodiment of the invention;
fig. 6 is a schematic structural diagram of an identification system for dried orange peel according to an embodiment of the present invention.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.
In order to explain the technical means of the present invention, the following description will be given by way of specific examples.
At present, the identification method of the dried orange peel varieties comprises the following steps: manual detection methods, compositional analysis methods, and spectroscopic analysis methods.
The manual detection method can be used for carrying out manual identification and identification by naked eyes based on appearance differences such as the color, the shape and the like of the dried orange peel, is simple and convenient to operate, does not need other auxiliary tools, has high accuracy and reliability of identification results influenced by subjective factors of an identifier, and cannot accurately determine the variety and the storage life of the dried orange peel.
The component analysis method generally utilizes chemical means and technical equipment to carry out component analysis on a dried orange peel sample to be detected, thereby achieving the purposes of identifying the variety and storage life of the dried orange peel. The method mainly utilizes a precise instrument to separate and detect the content of flavonoid compounds such as hesperidin, nobiletin, hesperetin and the like and other components in a dried orange peel sample to be detected, and realizes distinction and identification by comparing the difference of the content of the internal components of dried orange peels of different varieties and storage years.
The spectrum analysis method can be used for carrying out spectrum detection and analysis on a dried orange peel sample to be detected by utilizing infrared, hyperspectral technology, Raman spectrum and other technologies, and identifying the dried orange peel variety and the storage life by distinguishing the spectrum difference (such as near-infrared absorption peak, Raman characteristic peak and the like) between different dried orange peels and the storage time, however, the dried orange peel sample obtained by the method is single in information quantity, poor in identification sensitivity, and incapable of accurately determining the dried orange peel variety and the storage life.
The embodiment of the invention provides a method and a system for identifying dried orange peel, wherein multi-dimensional terahertz spectrum information of a dried orange peel sample to be identified is obtained by using a terahertz spectrometer; and according to the multi-dimensional terahertz spectrum information of the pericarpium citri reticulatae sample to be identified, determining the pericarpium citri reticulatae variety and the storage life of the pericarpium citri reticulatae sample to be identified by using the terahertz spectrum difference information of the pericarpium citri reticulatae of different pericarpium citri reticulatae varieties and different storage lives which is obtained in advance, realizing the accurate identification of the pericarpium citri reticulatae variety and the storage life, and solving the technical problem that the variety and the storage life of the pericarpium citri reticulatae cannot be accurately determined due to the single information amount of the obtained pericarpium citri reticulatae sample. Meanwhile, the pretreatment of the dried orange peel sample to be detected requires a simpler process, and secondary pollution can not be introduced.
Example one
Fig. 1 shows a schematic flow chart of an implementation of a method for identifying pericarpium citri reticulatae according to an embodiment of the present invention, which is applied to an identification system of pericarpium citri reticulatae, and is suitable for a situation where the accuracy of identifying the variety and storage life of pericarpium citri reticulatae needs to be improved, and includes steps 101 to 103.
Step 101, obtaining a pericarpium citri reticulatae sample to be identified.
In the embodiment of the invention, the pericarpium citri reticulatae sample to be identified is a pericarpium citri reticulatae sample which can be directly subjected to terahertz spectrum signal acquisition after pretreatment.
Different terahertz spectrometers have different pretreatment modes on original dried orange peel samples.
The terahertz waves have very strong sensitivity to water, so that the terahertz waves are easily influenced by the difference of the water distribution and the content on the surface of the pericarpium citri reticulatae sample to be identified and in the pericarpium citri reticulatae sample to be identified when the terahertz spectrum information of the pericarpium citri reticulatae sample to be identified is acquired. Therefore, in the embodiment of the invention, the obtained dried orange peel sample to be identified is the dried orange peel sample.
Optionally, the obtaining of the pericarpium citri reticulatae sample to be identified includes: and (3) placing the original dried orange peel sample at a preset temperature for drying treatment to obtain the dried orange peel sample to be identified.
The original dried orange peel sample refers to a dried orange peel sample which is not subjected to pretreatment.
The drying the original pericarpium citri reticulatae sample at the preset temperature may include drying the original pericarpium citri reticulatae sample at a drying temperature of 18-20 ℃ for a preset time, where the preset time may be 4 hours or other time.
In the embodiment of the invention, the original dried orange peel sample is dried at the drying temperature of 18-20 ℃, so that the drying efficiency of the original dried orange peel sample is ensured, and the change of the internal components of the original dried orange peel sample due to overheating is avoided when the original dried orange peel sample is dried.
102, acquiring terahertz spectrum information of the pericarpium citri reticulatae sample to be identified by using a terahertz spectrometer; the terahertz spectrum information includes: one or more information of the terahertz time-domain spectrum, the terahertz frequency-domain spectrum, the refractive index, the absorption coefficient, the dielectric constant and the dielectric constant loss angle tangent value of the pericarpium citri reticulatae sample to be identified;
the terahertz wave is electromagnetic radiation with the frequency of 0.1-10 THz and the wavelength of 0.03-3 mm, the wave band of the terahertz wave is located between microwave and infrared, the terahertz wave is a transition region from macroscopic electronics to microscopic photonics, and the terahertz wave has a plurality of unique properties due to the special position of the terahertz wave in an electromagnetic spectrum.
For example, the energy of terahertz waveband photons is about 1-10 meV, harmful ionizing radiation cannot be generated on biological tissues, the penetrating power is stronger compared with visible light and infrared spectrum, and the terahertz waveband photons are not easily influenced by Rayleigh scattering and can be used for biomedical imaging, diagnosis and treatment research and the like; terahertz radiation has coherence and can directly obtain the amplitude and phase information of a measured substance so as to calculate the refractive index, the absorption coefficient and the like of the measured substance; vibration and rotation frequency of many biomacromolecules have special response and interaction in a terahertz frequency band, so that the terahertz radiation can be used for fingerprint identification of the biomacromolecules, and thus the tiny difference of the substance structure can be detected.
In the embodiment of the invention, a terahertz spectrometer can be used for acquiring the multi-dimensional terahertz spectrum information of the pericarpium citri reticulatae sample to be identified; specifically, the terahertz spectrum information may include: the method is characterized in that one or more of terahertz time-domain spectrum, terahertz frequency-domain spectrum, refractive index, absorption coefficient, dielectric constant and dielectric constant loss tangent value of the pericarpium citri reticulatae sample to be identified can effectively solve the problems that the variety and storage life of the pericarpium citri reticulatae cannot be accurately determined due to single information amount and poor identification sensitivity of the pericarpium citri reticulatae sample.
103, according to the terahertz spectrum information of the pericarpium citri reticulatae sample to be identified, determining the pericarpium citri reticulatae variety and the storage life of the pericarpium citri reticulatae sample to be identified by using the terahertz spectrum difference information of the pericarpium citri reticulatae of different pericarpium citri reticulatae varieties and different storage lives which is acquired in advance.
In the embodiment of the invention, after the terahertz spectrum information of the pericarpium citri reticulatae sample to be identified is acquired, the pericarpium citri reticulatae variety and the storage life of the pericarpium citri reticulatae sample to be identified can be determined by utilizing the terahertz spectrum difference information of the pericarpium citri reticulatae of different pericarpium citri reticulatae varieties and different storage lives which is acquired in advance.
Optionally, as shown in fig. 2, the obtaining of the terahertz spectrum difference information of the tangerine peels of different tangerine peel varieties and different storage life periods may include: step 201 to step 203.
Step 201, collecting pericarpium citri reticulatae samples of different pericarpium citri reticulatae varieties and different storage years.
Step 202, obtaining terahertz spectrum information of pericarpium citri reticulatae samples of different storage years of each pericarpium citri reticulatae, and obtaining a terahertz spectrum information database containing terahertz spectrum information of pericarpium citri reticulatae of different storage years of different pericarpium citri reticulatae varieties.
The method for acquiring the pericarpium citri reticulatae samples and the terahertz spectrum information of each pericarpium citri reticulatae sample is similar to the method for acquiring the pericarpium citri reticulatae samples to be identified and the terahertz spectrum information of the pericarpium citri reticulatae samples, and is not repeated here.
Step 203, clustering the terahertz spectrum information of the dried orange peels of different dried orange peel varieties in each storage life in the terahertz spectrum information database to obtain terahertz spectrum difference information of the dried orange peels of different dried orange peel varieties and different storage lives.
The step of clustering the terahertz spectrum information of the dried orange peels of different dried orange peel varieties in each storage life in the terahertz spectrum information database refers to the step of performing statistical classification on the acquired terahertz spectrum information of the dried orange peels of different dried orange peel varieties in each storage life to obtain the terahertz spectrum difference information of the dried orange peels of different dried orange peel varieties in each storage life.
For example, the refractive index interval of the Guangdong pericarpium citri reticulatae is a 1-a 2, and the refractive index interval of other pericarpium citri reticulatae is d 1-d 2, the Guangdong pericarpium citri reticulatae and other pericarpium citri reticulatae can be relatively distinguished through different intervals of the refractive index, and then the storage life of the pericarpium citri reticulatae is determined according to other terahertz spectrum information.
According to the method, the orange peel varieties and the storage years of the orange peel samples to be identified can be determined in a manner that the multi-dimensional terahertz spectrum information of the orange peel samples to be identified is matched with the terahertz spectrum difference information of the orange peels of different orange peel varieties and different storage years, so that the orange peel varieties can be rapidly identified, and the identification efficiency of the orange peels is improved; in addition, the accurate identification of the dried orange peel can be realized.
Optionally, in some embodiments of the present invention, in step 103, the kind and storage life of the pericarpium citri reticulatae sample to be identified may be determined by using the terahertz spectrum difference information of the pericarpium citri reticulatae of different pericarpium citri reticulatae varieties and different storage lives, which is obtained in advance, and the terahertz spectrum information database according to the terahertz spectrum information of the pericarpium citri reticulatae sample to be identified.
For example, when it is determined that the refractive index interval of the pericarpium citri reticulatae sample to be identified is located in the refractive index interval of the citrus reticulata blanco, the terahertz spectrum information of the pericarpium citri reticulatae sample to be identified can be respectively matched with the terahertz spectrum information of the citrus reticulata blanco in each storage life in the terahertz spectrum information database, so as to determine the storage life of the pericarpium citri reticulatae sample to be identified.
Example two
This embodiment further defines step 102 of the first embodiment.
Optionally, in step 102, the obtaining of the terahertz spectrum information of the pericarpium citri reticulatae sample to be identified by using the terahertz spectrometer may include: and acquiring a terahertz spectrum signal of the pericarpium citri reticulatae sample to be identified by using a terahertz spectrometer comprising a transmission module, and processing the terahertz spectrum signal to obtain terahertz spectrum information of the pericarpium citri reticulatae sample to be identified.
As shown in fig. 3, the transmission module may include an optical integrating sphere body 3, an entrance window 3-1 and an exit window 3-2 provided on the optical integrating sphere body, and a detachable transmission sample holder 3-3 engaged with the optical integrating sphere body; the detachable transmission sample placing rack 3-3 is used for placing the dried orange peel sample to be identified; the entrance window 3-1 is used for making first sample light generated by irradiating the pericarpium citri reticulatae sample with terahertz waves enter the optical integrating sphere body 3, the first sample light is emitted from the exit window of the optical integrating sphere body after being subjected to diffuse reflection by the optical integrating sphere body, so that the first sample light emitted from the exit window is a light signal homogenized by the optical integrating sphere body, and the interference on a test result caused by the shape of the pericarpium citri reticulatae sample to be identified, the shape of the terahertz waves and the responsivity difference of different positions of the terahertz detection antenna can be reduced to the greatest extent, therefore, the complicated pretreatment of the pericarpium citri reticulatae sample to be identified is not needed, and the secondary pollution is avoided; the method improves the acquisition efficiency of the terahertz transmission spectrum of the pericarpium citri reticulatae sample to be identified and the accuracy of the test result, and further improves the identification efficiency and the identification accuracy of the pericarpium citri reticulatae sample to be identified.
Specifically, in this embodiment, because the first sample light emitted from the exit window of the transmission module is a light signal homogenized by the optical integrating sphere body, interference caused by the form of the pericarpium citri reticulatae sample to be identified, the shape of the terahertz wave, and the difference in responsivity of the terahertz detection antenna at different positions on the test result can be reduced to the greatest extent, and therefore, when the pericarpium citri reticulatae sample to be identified is obtained, the complicated pretreatment is not required, and the pericarpium citri reticulatae sample to be identified can be obtained only by placing the original pericarpium citri reticulatae sample at the preset temperature and performing the drying treatment.
Optionally, the incident window 3-1 and the exit window 3-2 may be made of high-purity polyethylene materials, so as to reduce the loss of the window to terahertz waves to the greatest extent.
Optionally, in some embodiments of the present invention, the exit window 3-2 is further provided with an iris diaphragm, so as to adjust the strength of the diaphragm size control signal according to the test requirement.
Optionally, in some embodiments of the present invention, as shown in fig. 3, the optical integrating sphere body may be further provided with an air inlet 3-4 and an air outlet 3-5.
In the embodiment of the invention, when the terahertz transmission spectrum of the dried orange peel sample to be identified is collected, the detachable transmission sample placing frame can be firstly installed on the integrating sphere body, and then the preset air pressure value of the integrating sphere body can be set; then, opening the air inlet 3-4 to introduce clean air, and opening the air outlet 3-5 to eliminate the interference of other air in the integrating sphere body; then, when the air pressure in the integrating sphere body is adjusted to the preset air pressure value, the air inlet 3-4 and the air outlet 3-5 are closed, the terahertz waves emitted from the exit window of the optical integrating sphere body at the moment are acquired, and obtaining a corresponding terahertz spectrum signal which is taken as a reference terahertz spectrum signal, finally, placing the dried orange peel sample to be identified on the detachable transmission sample placing rack 3-3, and the first sample light generated by irradiating the pericarpium citri reticulatae sample to be identified with terahertz waves is incident into the optical integrating sphere body 3 through the incident window 3-1, so that the first sample light is emitted from an exit window 3-2 of the optical integrating sphere body 3 after being subjected to diffuse reflection by the optical integrating sphere body, and a sample terahertz spectrum signal of the dried orange peel sample to be identified is obtained.
Optionally, the gas inlet 3-4 and the gas outlet 3-5 may be further provided with an electronic valve for controlling gas flow or closing, and a flow sensor for detecting the gas flow. The optical integrating sphere body is also internally provided with an air pressure sensor for detecting an air pressure value in the optical integrating sphere body and an air pressure controller connected with the air pressure sensor, the electronic valve and the flow sensor; the air pressure controller receives the air pressure value detected by the air pressure sensor and the air flow size detected by the flow sensor, compares the air pressure value detected by the air pressure sensor with a preset air pressure value, and outputs an electronic valve control signal to control the air flow size of the electronic valve, so that the air pressure value in the integrating sphere body is kept at the preset air pressure value.
Optionally, in order to avoid that the external gas and the gas in the integrating sphere body are freely exchanged to influence the collection quality of the terahertz spectrum of the sample, the gas inlet may be a one-way ventilation gas inlet; and the air outlet can also be a one-way ventilation air outlet.
In addition, in some embodiments of the present invention, as shown in fig. 3, the optical integrating sphere body may further include a temperature controller 3-6 and/or a humidity controller 3-7 to adjust the temperature and/or humidity inside the optical integrating sphere body.
In some embodiments of the present invention, a shielding screen 3-8 may be further disposed in the optical integrating sphere body to prevent sample light from directly exiting from the exit window of the optical integrating sphere body without being reflected diffusely by the optical integrating sphere body, thereby interfering with the test result.
Optionally, as shown in fig. 4, the terahertz spectrometer may further include a laser light source 42, a beam splitter 43, a terahertz radiation antenna 44 and a terahertz detection antenna 45 in addition to the transmission module 41 shown in fig. 3.
As shown in fig. 4, the laser light emitted from the laser light source 42 is split into probe light and pump light by the beam splitter 43; the detection light is emitted into the terahertz detection antenna 45; the pumping light irradiates the terahertz radiation antenna 44 to emit terahertz waves; the terahertz wave irradiates a dried orange peel sample to be identified to obtain first sample light; the first sample light enters the optical integrating sphere body through the entrance window of the optical integrating sphere body, and enters the terahertz detection antenna 45 from the exit window of the optical integrating sphere body after being subjected to diffuse reflection by the optical integrating sphere body; the terahertz detection antenna 45 receives the detection light and the first sample light emitted from the exit window, and generates a sample terahertz spectrum signal of the pericarpium citri reticulatae sample to be identified.
In practical application, before the pericarpium citri reticulatae sample to be identified is placed in the detachable transmission sample placing frame, a no-load signal when the pericarpium citri reticulatae sample to be identified is not placed can be collected as a reference terahertz spectrum signal.
That is, the terahertz spectrum signal of the pericarpium citri reticulatae sample to be identified can comprise the reference terahertz spectrum signal and the sample terahertz spectrum signal.
The obtaining of the terahertz spectrum information of the pericarpium citri reticulatae sample to be identified by performing signal processing on the terahertz spectrum signal may include: performing fast Fourier transform on the reference terahertz spectrum signal and the sample terahertz spectrum signal to obtain a frequency domain signal E of the reference terahertz spectrum signalref(ω) and a frequency domain signal E of the sample terahertz spectrum signalsam(ω); the spectral response function H (ω) of the citrus peel sample to be identified can be expressed as:
Figure BDA0002046423530000121
wherein:
Figure BDA0002046423530000122
the complex refractive index of the pericarpium citri reticulatae sample to be identified, d is the thickness of the pericarpium citri reticulatae sample to be identified, and c is the light speed; a (omega) and
Figure BDA0002046423530000123
the amplitude ratio and the phase difference of the sample terahertz spectrum signal and the reference terahertz spectrum signal are respectively.
According to the model of the optical parameters of the extraction material proposed by Dorney et al, the absorption coefficient alpha (omega), extinction coefficient kappa (omega) and complex refractive index of the dried orange peel sample to be identified
Figure BDA0002046423530000124
Can be expressed as:
Figure BDA0002046423530000125
Figure BDA0002046423530000126
Figure BDA0002046423530000127
therefore, according to the formula, the dielectric constant epsilon of the dried orange peel sample to be identified can be calculated*(ω) and the dielectric loss tangent tan δ are:
Figure BDA0002046423530000128
Figure BDA0002046423530000129
alternatively, the laser light source 42 may be a femtosecond laser, and the type of the laser is not limited as long as it can emit light pulses, and is applicable to the present invention.
Alternatively, as shown in fig. 4, the beam splitter 43 may include reflective plates 431, 433, 435, a beam splitting plate 432, and an optical delay system 434.
It should be noted that, in the embodiment of the present invention, the number and the positions of the reflective sheets and the positions of the beam splitting sheets and the optical delay system may be set according to practical application scenarios, which are merely illustrative and are not meant to limit the scope of the present invention. For example, the optical retardation system may also be located between the beam splitting plate 432 and the reflective plate 433.
The optical delay system 434 may be a system for adjusting the optical path difference by controlling the lens to move rapidly, so that the terahertz detection antenna 45 receives the detection light and the first sample light emitted from the exit window simultaneously, so as to generate a coherent action between the detection light and the first sample light emitted from the exit window, thereby obtaining the terahertz spectrum information of the pericarpium citri reticulatae sample to be identified.
Alternatively, the terahertz radiation antenna 44 may include a radiation antenna 441 that generates terahertz waves, and parabolic mirrors 442, 443 for focusing the terahertz waves at an entrance window of the optical integrating sphere body.
It should be noted that, in the embodiment of the present invention, the number and the position of the parabolic mirrors may be set according to an actual application scenario, which is merely an example and is not meant to limit the scope of the present invention.
As shown in fig. 4, in the embodiment of the present invention, the laser emitted from the laser light source 42 is split into the probe light and the pump light by the beam splitting plate 432 of the beam splitter 43; the detection light is emitted into the terahertz detection antenna 45 through the optical delay system 434; the pumping light irradiates the radiation antenna 441 to emit terahertz waves; the terahertz waves are focused by the parabolic mirrors 442 and 443 and then are irradiated onto the pericarpium citri reticulatae sample to be identified to obtain first sample light; the first sample light is incident into the optical integrating sphere body through an incident window of the optical integrating sphere body, and is incident into the terahertz detection antenna from an exit window of the optical integrating sphere body after being subjected to diffuse reflection on the inner wall of the optical integrating sphere body; the terahertz detection antenna 45 receives the detection light and the first sample light emitted from the exit window, and generates a sample terahertz spectrum signal of the pericarpium citri reticulatae sample to be identified.
Optionally, in order to reduce as much as possible the test error caused by the difference between the pericarpium citri reticulatae samples to be identified, the obtaining of the pericarpium citri reticulatae sample to be identified may include: the method comprises the steps of obtaining a plurality of dried orange peel samples to be identified of the same variety of dried orange peel, repeatedly testing the front and the back of each dried orange peel sample to be identified respectively when a terahertz spectrometer is used for obtaining terahertz spectrum information of the dried orange peel sample to be identified, obtaining terahertz spectrum information of the plurality of samples, eliminating data with deviation larger than a preset threshold value, and then carrying out arithmetic averaging on the data to serve as the terahertz spectrum information of the dried orange peel sample to be identified.
For example, 3 parts of pericarpium citri reticulatae samples to be identified of each variety are prepared, 5 times of repeated tests are respectively carried out on the front surface and the back surface of each pericarpium citri reticulatae sample to be identified, 10 times of repeated tests are carried out, 30 parts of spectral data are obtained on the pericarpium citri reticulatae of each variety, and the data with excessive individual deviation are removed and then subjected to arithmetic mean to serve as terahertz spectral information of the pericarpium citri reticulatae sample.
EXAMPLE III
Compared with the above embodiments, the present embodiment provides a terahertz spectrometer including another transmission module.
As shown in fig. 5, the transmission module 51 may include a sample chamber 511 and a stage 512 disposed on the sample chamber 511; the objective table 512 is used for placing the pericarpium citri reticulatae sample to be identified.
The terahertz spectrometer includes: a laser light source 52, a beam splitter 53, a terahertz radiation antenna 54 and a terahertz detection antenna 55;
the method for acquiring the terahertz spectrum information of the pericarpium citri reticulatae sample to be identified by using the terahertz spectrometer comprises the following steps:
the laser light emitted from the laser light source 52 is split into probe light and pump light by the beam splitter 53; the detection light is emitted into the terahertz detection antenna 55; the pumping light irradiates the terahertz radiation antenna 54 to emit terahertz waves; the terahertz wave is emitted into a sample bin 511 of the transmission module and irradiates the pericarpium citri reticulatae sample to be identified on the object stage 512 to generate second sample light; the second sample light is emitted from the transmission module and then reaches the terahertz detection antenna 55; the terahertz detection antenna 55 receives the detection light and the second sample light emitted from the transmission module 51 to obtain a sample terahertz spectrum signal.
Similarly, in practical application, before the pericarpium citri reticulatae sample to be identified is placed on the object stage, the no-load signal when the pericarpium citri reticulatae sample to be identified is not placed can be collected as the reference terahertz spectrum signal. And then, carrying out signal processing on the sample terahertz spectrum signal and the reference terahertz spectrum signal to obtain the terahertz spectrum information of the pericarpium citri reticulatae sample to be identified.
Optionally, the sample terahertz spectrum signal may be amplified by the lock-in amplifier 56, and then signal processing is performed.
It should be noted that, in order to avoid that the form of the pericarpium citri reticulatae sample to be identified affects the acquisition of the terahertz spectrum signal of the sample, in an embodiment of the present invention, the acquiring of the pericarpium citri reticulatae sample to be identified may include: drying an original pericarpium citri reticulatae sample at a preset temperature, and then crushing to obtain pericarpium citri reticulatae powder; and then, mixing the dried orange peel powder with high-density polyethylene powder and tabletting to obtain the dried orange peel sample to be identified.
Wherein the High Density Polyethylene (HDPE) is a white powder or a granular product. No toxicity and smell, crystallinity of 80-90%, softening point of 125-l 35 deg.c and use temperature up to 100 deg.c.
In the embodiment of the invention, the pericarpium citri reticulatae sample to be identified with the thickness d is obtained by mixing the pericarpium citri reticulatae powder and the high-density polyethylene powder and then tabletting.
For example, the mixture of the dried orange peel powder and the high-density polyethylene powder is pressed into a disc-shaped sample by a tablet press under a pressure of 30 to 35 MPa.
Example four
Fig. 6 is a schematic structural diagram of an identification system for citrus reticulata blanco provided in an embodiment of the present invention, which corresponds to the method in the above embodiment, and only shows a part related to the embodiment of the present invention for convenience of description. The system for identifying pericarpium citri reticulatae illustrated in fig. 6 can be an executive body of the method for identifying pericarpium citri reticulatae provided by the method embodiment. Referring to fig. 6, the system for identifying citrus peel may include: a sample acquisition device 61, a terahertz spectrometer 62, and an identification device 63.
The sample acquisition device 61 is used for acquiring a dried orange peel sample to be identified.
The terahertz spectrometer 62 is used for acquiring terahertz spectrum information of the pericarpium citri reticulatae sample to be identified by using a terahertz spectrometer; the terahertz spectrum information includes: and one or more information of the terahertz time-domain spectrum, the terahertz frequency-domain spectrum, the refractive index, the absorption coefficient, the dielectric constant and the dielectric constant loss angle tangent value of the pericarpium citri reticulatae sample to be identified.
The identification device 63 is configured to determine the pericarpium citri reticulatae variety and the storage life of the pericarpium citri reticulatae sample to be identified by using the pre-acquired terahertz spectrum difference information of the pericarpium citri reticulatae of different pericarpium citri reticulatae varieties and different storage lives according to the terahertz spectrum information of the pericarpium citri reticulatae sample to be identified.
Optionally, the sample acquiring device is further used for acquiring pericarpium citri reticulatae samples of different pericarpium citri reticulatae varieties and different storage years; the terahertz spectrometer is further used for: obtaining terahertz spectrum information of pericarpium citri reticulatae samples of different storage years of each pericarpium citri reticulatae to obtain a terahertz spectrum information database containing the terahertz spectrum information of the pericarpium citri reticulatae of different pericarpium citri reticulatae varieties in each storage year; the identification device is also used for clustering the terahertz spectrum information of the dried orange peels of different dried orange peel varieties in different storage years in the terahertz spectrum information database to obtain the terahertz spectrum difference information of the dried orange peels of different dried orange peel varieties and different storage years.
Optionally, the terahertz spectrometer comprises a transmission module.
Optionally, the transmission module includes an optical integrating sphere body, an entrance window and an exit window provided on the optical integrating sphere body, and a detachable transmission sample holder fitted with the optical integrating sphere body; the detachable transmission sample placing rack is used for placing the dried orange peel sample to be identified; the entrance window is used for enabling first sample light generated by the dried orange peel sample to be identified through terahertz wave irradiation to enter the optical integrating sphere body, and the first sample light is emitted from an exit window of the optical integrating sphere body after being subjected to diffuse reflection by the optical integrating sphere body.
Optionally, the transmission module comprises a sample chamber and a stage disposed in the sample chamber; the terahertz spectrometer includes: the terahertz radiation detection device comprises a laser light source, a beam splitter, a terahertz radiation antenna and a terahertz detection antenna; the method for acquiring the terahertz spectrum information of the pericarpium citri reticulatae sample to be identified by using the terahertz spectrometer comprises the following steps: laser emitted by the laser light source is divided into detection light and pumping light by the beam splitter; the detection light is emitted into the terahertz detection antenna; the pumping light irradiates the terahertz radiation antenna to emit terahertz waves; the terahertz waves are emitted into a sample bin of the transmission module and irradiate the dried orange peel sample to be identified on the objective table to generate second sample light; the second sample light is emitted from the transmission module and then reaches the terahertz detection antenna; the terahertz detection antenna receives the detection light and second sample light emitted from the transmission module to obtain a sample terahertz spectrum signal.
Optionally, the sample acquiring device 61 may include a dryer, configured to dry the original pericarpium citri reticulatae sample at a preset temperature to obtain the pericarpium citri reticulatae sample to be identified.
Optionally, the sample obtaining device 61 may further include a crusher and a tablet press, and is configured to crush the original pericarpium citri reticulatae sample after the original pericarpium citri reticulatae sample is dried at a preset temperature, so as to obtain pericarpium citri reticulatae powder; and mixing the dried orange peel powder with high-density polyethylene powder and tabletting to obtain the dried orange peel sample to be identified.
Alternatively, the item discriminating device 63 may include a memory, a processor, and a computer program stored in the memory and executable on the processor, the processor implementing, when executing the computer program: according to the terahertz spectrum information of the dried orange peel sample to be identified, the dried orange peel variety and the storage life of the dried orange peel sample to be identified are determined by utilizing the terahertz spectrum difference information of the dried orange peels of different dried orange peel varieties and different storage lives, which is obtained in advance.
The processor may be a central processing unit CPU, but may also be other general purpose processors, digital signal processors DSP, application specific integrated circuits ASIC, field programmable gate arrays FPGA or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc.
The memory may include both read-only memory and random access memory, and provides instructions and data to the processor.
It should be noted that, for convenience and brevity of description, the specific working process of the identification system of pericarpium citri reticulatae in the embodiment of the present invention may refer to each implementation manner of the foregoing method, and details are not repeated here.
In the embodiment of the invention, multi-dimensional terahertz spectrum information of a dried orange peel sample to be identified is obtained by using a terahertz spectrometer; and according to the multi-dimensional terahertz spectrum information of the pericarpium citri reticulatae sample to be identified, determining the pericarpium citri reticulatae variety and the storage life of the pericarpium citri reticulatae sample to be identified by using the terahertz spectrum difference information of the pericarpium citri reticulatae of different pericarpium citri reticulatae varieties and different storage lives which is obtained in advance, realizing the accurate identification of the pericarpium citri reticulatae variety and the storage life, and solving the technical problem that the variety and the storage life of the pericarpium citri reticulatae cannot be accurately determined due to the single information amount of the obtained pericarpium citri reticulatae sample.
In the embodiments provided in the present invention, it should be understood that the disclosed devices can also be implemented in other manners. For example, the terahertz spectrometers described above are merely illustrative; for another example, the division of each component is only one functional division, and there may be other division ways in actual implementation, for example, a plurality of components may be combined or may be integrated into another system, or some features may be omitted.
The above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.

Claims (7)

1. The identification method of the dried orange peel is characterized by comprising the following steps:
obtaining a dried orange peel sample to be identified;
obtaining terahertz spectrum information of the dried orange peel sample to be identified by using a terahertz spectrometer; the terahertz spectrum information includes: one or more information of the terahertz time-domain spectrum, the terahertz frequency-domain spectrum, the refractive index, the absorption coefficient, the dielectric constant and the dielectric constant loss angle tangent value of the pericarpium citri reticulatae sample to be identified;
according to the terahertz spectrum information of the dried orange peel sample to be identified, determining the dried orange peel variety and the storage life of the dried orange peel sample to be identified by using the terahertz spectrum difference information of the dried orange peels of different dried orange peel varieties and different storage lives which are obtained in advance;
the method for acquiring the terahertz spectrum information of the pericarpium citri reticulatae sample to be identified by using the terahertz spectrometer comprises the following steps:
acquiring a terahertz spectrum signal of the pericarpium citri reticulatae sample to be identified by using a terahertz spectrometer comprising a transmission module, and performing signal processing on the terahertz spectrum signal to obtain terahertz spectrum information of the pericarpium citri reticulatae sample to be identified;
the transmission module comprises an optical integrating sphere body, an incident window and an exit window which are arranged on the optical integrating sphere body, and a detachable transmission sample placing frame matched with the optical integrating sphere body; the detachable transmission sample placing rack is used for placing the dried orange peel sample to be identified; the entrance window is used for enabling first sample light generated by the dried orange peel sample to be identified through terahertz wave irradiation to enter the optical integrating sphere body, and the first sample light is emitted from an exit window of the optical integrating sphere body after being subjected to diffuse reflection by the optical integrating sphere body;
the optical integrating sphere body is also provided with an air inlet and an air outlet;
when the terahertz transmission spectrum of the pericarpium citri reticulatae sample to be identified is collected, the detachable transmission sample placing frame is firstly installed on the integrating sphere body, and then the preset air pressure value of the integrating sphere body is set; then, opening the air inlet to introduce clean air, and opening the air outlet to eliminate the interference of other air in the integrating sphere body; then, when the air pressure in the integrating sphere body is adjusted to the preset air pressure value, closing the air inlet and the air outlet, obtaining terahertz waves emitted from an exit window of the optical integrating sphere body at the moment, obtaining corresponding terahertz spectrum signals, using the terahertz spectrum signals as reference terahertz spectrum signals, finally, placing the pericarpium citri reticulatae sample to be identified on the detachable transmission sample placing frame, and enabling first sample light generated by irradiating the pericarpium citri reticulatae sample with the terahertz waves to be incident into the optical integrating sphere body through an incident window, so that the first sample light is emitted from the exit window of the optical integrating sphere body after being subjected to diffuse reflection through the optical integrating sphere body, and obtaining the terahertz spectrum signals of the pericarpium citri reticulatae sample to be identified.
2. The identification method according to claim 1, wherein the obtaining of the terahertz spectrum difference information of the tangerine peels of different tangerine peel varieties and different storage years comprises:
collecting pericarpium Citri Tangerinae samples of different pericarpium Citri Tangerinae varieties and different storage life;
obtaining terahertz spectrum information of pericarpium citri reticulatae samples of different storage years of each pericarpium citri reticulatae to obtain a terahertz spectrum information database containing the terahertz spectrum information of the pericarpium citri reticulatae of different pericarpium citri reticulatae varieties in each storage year;
and clustering the terahertz spectrum information of the dried orange peels of different dried orange peel varieties in each storage life in the terahertz spectrum information database to obtain the terahertz spectrum difference information of the dried orange peels of different dried orange peel varieties and different storage lives.
3. The authentication method of claim 1, wherein the transmission module comprises a sample compartment and a stage disposed in the sample compartment;
the terahertz spectrometer includes: the terahertz radiation detection device comprises a laser light source, a beam splitter, a terahertz radiation antenna and a terahertz detection antenna;
the method for acquiring the terahertz spectrum information of the pericarpium citri reticulatae sample to be identified by using the terahertz spectrometer comprises the following steps:
laser emitted by the laser light source is divided into detection light and pumping light by the beam splitter; the detection light is emitted into the terahertz detection antenna; the pumping light irradiates the terahertz radiation antenna to emit terahertz waves; the terahertz waves are emitted into a sample bin of the transmission module and irradiate the dried orange peel sample to be identified on the objective table to generate second sample light; the second sample light is emitted from the transmission module and then reaches the terahertz detection antenna; the terahertz detection antenna receives the detection light and second sample light emitted from the transmission module to obtain a sample terahertz spectrum signal.
4. The method of claim 1, wherein said obtaining a sample of citrus peel to be identified comprises:
and (3) placing the original dried orange peel sample at a preset temperature for drying treatment to obtain the dried orange peel sample to be identified.
5. The identification method of claim 4, wherein the obtaining of the pericarpium Citri Tangerinae sample to be identified,
further comprising:
drying an original pericarpium citri reticulatae sample at a preset temperature, and then crushing to obtain pericarpium citri reticulatae powder;
and mixing the dried orange peel powder with high-density polyethylene powder, and tabletting to obtain the dried orange peel sample to be identified.
6. An identification system for dried orange peel, comprising:
the sample acquisition device is used for acquiring a dried orange peel sample to be identified;
the terahertz spectrometer is used for acquiring terahertz spectrum information of the pericarpium citri reticulatae sample to be identified by utilizing the terahertz spectrometer; the terahertz spectrum information includes: one or more information of the terahertz time-domain spectrum, the terahertz frequency-domain spectrum, the refractive index, the absorption coefficient, the dielectric constant and the dielectric constant loss angle tangent value of the pericarpium citri reticulatae sample to be identified;
the identification device is used for determining the dried orange peel varieties and the storage years of the dried orange peel samples to be identified by using the pre-acquired terahertz spectrum difference information of the dried orange peels of different dried orange peel varieties and different storage years according to the terahertz spectrum information of the dried orange peel samples to be identified;
the method for acquiring the terahertz spectrum information of the pericarpium citri reticulatae sample to be identified by using the terahertz spectrometer comprises the following steps:
acquiring a terahertz spectrum signal of the pericarpium citri reticulatae sample to be identified by using a terahertz spectrometer comprising a transmission module, and performing signal processing on the terahertz spectrum signal to obtain terahertz spectrum information of the pericarpium citri reticulatae sample to be identified;
the transmission module comprises an optical integrating sphere body, an incident window and an exit window which are arranged on the optical integrating sphere body, and a detachable transmission sample placing frame matched with the optical integrating sphere body; the detachable transmission sample placing rack is used for placing the dried orange peel sample to be identified; the entrance window is used for enabling first sample light generated by the dried orange peel sample to be identified through terahertz wave irradiation to enter the optical integrating sphere body, and the first sample light is emitted from an exit window of the optical integrating sphere body after being subjected to diffuse reflection by the optical integrating sphere body;
the optical integrating sphere body is also provided with an air inlet and an air outlet;
when the terahertz transmission spectrum of the pericarpium citri reticulatae sample to be identified is collected, the detachable transmission sample placing frame is firstly installed on the integrating sphere body, and then the preset air pressure value of the integrating sphere body is set; then, opening the air inlet to introduce clean air, and opening the air outlet to eliminate the interference of other air in the integrating sphere body; then, when the air pressure in the integrating sphere body is adjusted to the preset air pressure value, closing the air inlet and the air outlet, obtaining terahertz waves emitted from an exit window of the optical integrating sphere body at the moment, obtaining corresponding terahertz spectrum signals, using the terahertz spectrum signals as reference terahertz spectrum signals, finally, placing the pericarpium citri reticulatae sample to be identified on the detachable transmission sample placing frame, and enabling first sample light generated by irradiating the pericarpium citri reticulatae sample with the terahertz waves to be incident into the optical integrating sphere body through an incident window, so that the first sample light is emitted from the exit window of the optical integrating sphere body after being subjected to diffuse reflection through the optical integrating sphere body, and obtaining the terahertz spectrum signals of the pericarpium citri reticulatae sample to be identified.
7. The authentication system of claim 6,
the sample acquisition device is also used for acquiring dried orange peel samples of different dried orange peel varieties and different storage years;
the terahertz spectrometer is further used for: obtaining terahertz spectrum information of pericarpium citri reticulatae samples of different storage years of each pericarpium citri reticulatae to obtain a terahertz spectrum information database containing the terahertz spectrum information of the pericarpium citri reticulatae of different pericarpium citri reticulatae varieties in each storage year;
the identification device is also used for clustering the terahertz spectrum information of the dried orange peels of different dried orange peel varieties in different storage years in the terahertz spectrum information database to obtain the terahertz spectrum difference information of the dried orange peels of different dried orange peel varieties and different storage years.
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Families Citing this family (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110749566B (en) * 2019-10-23 2024-05-10 深圳市太赫兹科技创新研究院有限公司 Detection method, detection device and terminal equipment for years of traditional Chinese medicinal materials
CN110907389A (en) * 2019-12-13 2020-03-24 深圳市太赫兹科技创新研究院有限公司 Matcha identification method and system
CN111122494A (en) * 2019-12-28 2020-05-08 深圳市太赫兹***设备有限公司 Method and system for identifying leather varieties
CN112285086B (en) * 2020-07-24 2022-06-14 广东省农业科学院蚕业与农产品加工研究所 Application of Raman spectrum in orange peel year identification
CN112504977A (en) * 2020-11-17 2021-03-16 华南农业大学 Tea water content detection method and model construction method, medium and equipment thereof
CN112782114B (en) * 2020-12-25 2022-04-29 广州白云山陈李济药厂有限公司 Method for identifying aging years of dried orange peel
CN113278685B (en) * 2021-05-10 2022-10-14 南方医科大学 Molecular identification method for storage life of pericarpium citri reticulatae
CN114199989B (en) * 2021-11-05 2023-11-28 佛山科学技术学院 Method and system for identifying pericarpium citri reticulatae based on mass spectrum data fusion
CN114018858A (en) * 2021-11-26 2022-02-08 太赫兹科技应用(广东)有限公司 Method for identifying authenticity of dried and wet dried orange peels in same year based on terahertz technology

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6927850B1 (en) * 1987-10-09 2005-08-09 The United States Of America As Represented By The Secretary Of The Navy Infrared integrating sphere
CN105158184A (en) * 2015-09-11 2015-12-16 深圳世绘林科技有限公司 Gas online analysis device based on optical integrating sphere
CN105181602A (en) * 2015-09-11 2015-12-23 深圳世绘林科技有限公司 Spectral measurement device based on optics intergrating sphere
WO2016165269A1 (en) * 2015-04-13 2016-10-20 杭州远方光电信息股份有限公司 Apparatus for measuring optical properties of object
CN107334477A (en) * 2017-05-02 2017-11-10 北京理工大学深圳研究院 A kind of double spectrum noninvasive dynamics monitoring devices

Family Cites Families (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN2047031U (en) * 1989-01-12 1989-11-01 中国科学院安徽光学精密机械研究所 Optical averaging instrument
KR101236558B1 (en) * 2009-12-18 2013-02-22 한국생산기술연구원 A novel isolated Phoma sp. from rotten tangerine peel and cellulolytic enzymes and β-glucosidase produced by thereof
CN102175636B (en) * 2011-03-18 2012-12-26 上海理工大学 System and method for detecting and identifying Chinese herbal medicine
CN103383352B (en) * 2012-05-03 2017-09-05 天津天士力之骄药业有限公司 A kind of NIR transmittance spectroscopy detection method of aurantiin and/or neohesperidin
CN103033486B (en) * 2012-11-23 2015-04-22 广东药学院 Method for near infrared spectrum monitoring of quality of pericarpium citri reticulatae and citrus chachiensis hortorum medicinal materials
CN103822884A (en) * 2013-12-19 2014-05-28 中国矿业大学 Classified identification method for tea based on terahertz time-domain spectroscopy
JP6384183B2 (en) * 2014-08-05 2018-09-05 株式会社リコー Sample measuring apparatus and sample measuring program
CN107219187A (en) * 2017-05-25 2017-09-29 中国科学院重庆绿色智能技术研究院 A kind of leather species fast non-destructive detection method based on terahertz light spectral technology
CN107328736A (en) * 2017-07-13 2017-11-07 深圳市太赫兹***设备有限公司 Ginseng discrimination method and system
CN107727601B (en) * 2017-08-28 2020-01-14 五邑大学 Infrared spectrum year rapid identification method for dried orange peel and pericarpium citri reticulatae
CN108226088B (en) * 2017-12-30 2019-09-17 雄安华讯方舟科技有限公司 A kind of drug test method and device
CN109030405A (en) * 2018-05-25 2018-12-18 深圳市太赫兹科技创新研究院有限公司 The method of Electromagnetic Wave Detection cordyceps sinensis quality based on Terahertz frequency range

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6927850B1 (en) * 1987-10-09 2005-08-09 The United States Of America As Represented By The Secretary Of The Navy Infrared integrating sphere
WO2016165269A1 (en) * 2015-04-13 2016-10-20 杭州远方光电信息股份有限公司 Apparatus for measuring optical properties of object
CN105158184A (en) * 2015-09-11 2015-12-16 深圳世绘林科技有限公司 Gas online analysis device based on optical integrating sphere
CN105181602A (en) * 2015-09-11 2015-12-23 深圳世绘林科技有限公司 Spectral measurement device based on optics intergrating sphere
CN107334477A (en) * 2017-05-02 2017-11-10 北京理工大学深圳研究院 A kind of double spectrum noninvasive dynamics monitoring devices

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