CN112229808A - Food microorganism detection device and detection method based on multispectral technology - Google Patents
Food microorganism detection device and detection method based on multispectral technology Download PDFInfo
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- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
- G01N21/33—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using ultraviolet light
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- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
- G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light
- G01N21/359—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light using near infrared light
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Abstract
The invention provides a food microorganism detection device and a detection method based on a multispectral technology, wherein the detection method comprises the following steps: establishing a food microorganism multispectral standard database; placing the food to be detected at the lower end of the interior of the box body, and exciting unknown microorganisms on the surface of the food by irradiating the food to be detected with an excitation light source to generate multispectral data; collecting multispectral data of the surface of the food by a multispectral detector, carrying out primary processing on the multispectral data of a target area, comparing the multispectral data with a multispectral standard database of the microorganisms of the food, and calculating the content to obtain information that the surface of the food contains a certain amount of microorganisms; and feeding the information back to a data processing terminal through a multispectral detector, and finally feeding the information back to a user. The food microorganism detection device and the detection method based on the multispectral technology can realize real-time detection of food microorganisms, have low detection cost and are suitable for daily life.
Description
Technical Field
The invention relates to the technical field of microorganism detection equipment, in particular to a food microorganism detection device and a detection method based on a multispectral technology.
Background
As a refrigerating apparatus for prolonging the preservation of food, a refrigerator has become an indispensable household device for people's daily life. However, the refrigerator only reduces the growth and propagation speed of microorganisms under the condition of reducing the temperature, so that the food spoilage is delayed, and therefore, the food microorganisms still exist in the low-temperature environment of the refrigerator. The microorganisms in the food can not only intake the nutrient substances of the food to cause food spoilage, but also have some pathogenic bacteria, viruses and the like, thereby seriously threatening the physical health of people.
At present, the more commonly used methods for detecting microorganisms are biochemical methods, such as enzyme-linked immunosorbent assay, separation culture identification method, and polymerase chain reaction. Although the biochemical method can accurately analyze and identify microorganisms, the detection cost is high, the detection procedure is complex, and the detection can be realized only in a harsher laboratory environment, so that the biochemical method is difficult to apply to daily life.
Disclosure of Invention
The invention provides a food microorganism detection device and a detection method based on a multispectral technology, which can realize real-time detection of food microorganisms, have low detection cost and are suitable for daily life.
The technical scheme adopted by the invention is as follows: a multi-spectral technology based food microbial detection apparatus, comprising: the device comprises a box body, an excitation light source and a multispectral detector; the excitation light source and the multispectral detector are both arranged in the box body, and the excitation light source is used for irradiating food to be detected and exciting unknown microorganisms on the surface of the food to generate multispectral data; the multispectral detector is used for collecting, extracting, comparing and judging multispectral data generated by food and outputting a result;
the spectral bands detected by the multispectral detector comprise an ultraviolet band, a visible band and a part of near-infrared band, the detected wavelength range is 250-1100nm, and the multispectral detector is connected with a food microorganism multispectral standard database.
Further, the wavelength range of the excitation light source is 190-550 nm.
Furthermore, the multispectral detector is integrated with a data processing terminal, and the food microorganism multispectral standard database is arranged on the data processing terminal.
Furthermore, the multispectral detector and the data processing terminal are designed in a split mode, the multispectral detector is in communication connection with the data processing terminal, and the food microorganism multispectral standard database is arranged on the data processing terminal.
Further, the excitation light source and the multispectral detector are both arranged at the upper end of the box body, the excitation light source comprises an illumination part and a sterilization part, the sterilization part is an ultraviolet sterilization lamp, and the illumination part is an LED lamp.
The invention also provides the following technical scheme:
a food microorganism detection method based on multispectral technology adopts the detection device and comprises the following steps:
s1: acquiring multispectral data of different food microorganisms by adopting a food microorganism standard sample and a food microorganism training sample, then processing and analyzing the multispectral data of different food microorganisms, and establishing a standard food microorganism multispectral model to form a food microorganism multispectral standard database;
s2: opening the box body, starting the excitation light source and the multispectral detector, and placing the food to be detected at the lower end in the box body; then closing the box body, and exciting the food to be detected by the excitation light source to excite unknown microorganisms on the surface of the food to generate multispectral data;
s3: collecting multispectral data of the surface of the food by a multispectral detector, performing primary processing on the multispectral data of a target area, and comparing the processed multispectral data with a food microorganism multispectral standard database; when the spectral information generated by unknown microorganisms is matched with a standard spectral model of a certain microorganism in a food microorganism multispectral standard database, judging that the food contains the microorganism, and calculating the content of the microorganism according to the intensity of a spectral signal to obtain the information that the surface of the food contains a certain amount of the certain microorganism;
s4: the information of a certain amount of certain microorganism contained on the surface of the food is fed back to the data processing terminal through the multispectral detector, and then is fed back to a user through the data processing terminal.
Further, in S1, the food microorganism standard sample is used to establish standard microorganism multispectral data.
Further, in S1, the food microorganism training sample is used to simulate a real environment to create simulated multispectral data, wherein the data acquisition method includes: different strains with different concentrations are sprayed on different food surfaces, and corresponding multispectral data are collected.
Further, in S1, the processing analysis method adopted is a cluster classification analysis method, including an euclidean distance method, a deep neural network method, and a convolutional neural network method.
Further, in S2, the multispectral data includes spectral information and image information of an absorption spectrum, a reflection spectrum, a scattering spectrum, or a fluorescence spectrum.
Compared with the prior art, the food microorganism detection device and the detection method based on the multispectral technology can nondestructively acquire the spectral data of the food microorganisms by adopting the multispectral detector, analyze and process the data, realize the real-time detection of the food microorganisms, have low detection cost, are suitable for daily life, and enable people to conveniently and rapidly know the information of the food microorganisms in the daily life.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings, there is shown in the drawings,
FIG. 1: the invention is based on the schematic diagram of the microbial detection device of food of multispectral technology;
FIG. 2: the invention relates to a block diagram of a food microorganism detection device based on a multispectral technology;
FIG. 3: the invention relates to a food microorganism detection method based on a multispectral technology.
Detailed Description
The following detailed description of embodiments of the invention refers to the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating the present invention, are given by way of illustration and explanation only, not limitation.
As shown in fig. 1 and fig. 2, the food microorganism detection device based on multispectral technology of the present invention comprises a box 1, an excitation light source 2, a multispectral detector 3; wherein, the excitation light source 2 and the multispectral detector 3 are both arranged in the box body 1; the excitation light source 2 is used for irradiating food 4 to be detected and exciting unknown microorganisms on the surface of the food to generate multispectral data; the multispectral detector 3 is used for collecting multispectral data of the food to be detected, then extracting, comparing and judging, and outputting a result. The box 1 is a food storage device such as a refrigerator, an ice chest, a freezer, a refrigerator, or a freezer, but not limited thereto.
Specifically, the excitation light source 2 and the multispectral detector 3 are both installed at the upper end of the box body 1, wherein the excitation light source 2 comprises an illumination part and a sterilization part, the sterilization part is an ultraviolet sterilization lamp, and the illumination part is an LED lamp. Further, the spectral band detected by the multi-spectral detector 3 includes an ultraviolet band, a visible band and a part of near infrared band, and the wavelength range is 250-1100 nm. As the fluorescence radiation range of flavin in general microorganism is between 510-540nm, the strongest radiation is near 530nm, nicotinamide adenine dinucleotide phosphate (NAD (P) H) is excited by a 360nm light source, the fluorescence radiation is strongest at 460nm, and the fluorescence radiation range of the benzene ring-containing amino acid such as tryptophan, phenylalanine and tyrosine which forms the microorganism protein is between 270-500 nm. Therefore, the wavelength range of the excitation light source 2 for exciting the food microorganisms is preferably 190-550 nm.
The multispectral detector 3 is used for collecting, extracting, comparing and judging multispectral data generated by food and outputting a result. The food microorganisms to be detected are mainly microorganisms which grow and mildew on the surface of food, and also comprise microorganisms which are artificially introduced from the outside and microorganisms in a detection space, such as bacteria, fungi and viruses, for example: psychrophile, Escherichia coli, Staphylococcus, Bacillus subtilis, Aspergillus, etc.
The multispectral detector 3 is provided with a food microorganism multispectral standard database, after the multispectral detector 3 collects the fluorescence spectrum, the absorption spectrum, the reflection spectrum and the scattering spectrum of food microorganisms with different wave bands, the multispectral detector extracts a target part of the collected multispectral data, compares the effective multispectral data with the food microorganism multispectral standard database to obtain a conclusion, and outputs a detection result to a user side.
In the embodiment, the multispectral detector 3 is integrated with a data processing terminal, has independent data processing, analysis and sharing, and independently completes the function of a food microorganism detection program; wherein, the food microorganism multispectral standard database is arranged at the data processing terminal. In other embodiments, the multispectral detector 3 and the data processing terminal are designed separately, the multispectral detector 3 is in communication connection with the data processing terminal, the data processing terminal is provided with a food microorganism multispectral standard database, the multispectral detector 3 compares the extracted effective multispectral data with the food microorganism multispectral standard database to obtain a conclusion, and then the detection result is output to the user side through the data processing terminal. The data processing terminal is an intelligent terminal smart phone, an IPAD, a computer, or an intelligent refrigerator, and the like, but not limited thereto.
The food microorganism detection device based on the multispectral technology is used in the following process:
firstly, opening a box body 1, starting an excitation light source 2 and a multispectral detector 3, lighting the lighting part of the excitation light source 2 at the moment, closing the sterilization part, and placing a food 4 to be detected at the lower end in the box body 1; then the box body 1 is closed to form a closed and stable space environment (to avoid introducing external microorganisms and prevent other light sources from interfering the detection light source), at the moment, the illumination part of the excitation light source 2 is closed, the sterilization part is lightened to irradiate the food 4 to be detected, the unknown microorganisms on the surface of the food are excited, and the unknown microorganisms on the surface of the food are acted by the excitation light source 2 to generate multispectral data. The multispectral data comprises spectral information and image information of an absorption spectrum, a reflection spectrum, a scattering spectrum or a fluorescence spectrum;
then, the multispectral detector 3 collects the spectral information and image information of the food surface, and performs primary processing on the multispectral data of the target area, and then compares the processed multispectral data with the spectral data in the food microorganism multispectral standard database;
when the spectral information generated by unknown microorganisms is matched with a certain microorganism standard spectral model in a food microorganism multispectral standard database, the food is judged to contain the microorganisms, and the content of the microorganisms is calculated according to the intensity of the spectral signals to obtain the information that the surface of the food contains a certain amount of certain microorganisms;
finally, the information of a certain amount of certain microorganism on the surface of the food is fed back to the data processing terminal through the multispectral detector 3 and fed back to the user, and the user can receive the content of the certain microorganism and the prompted voice or image information, so that the real-time detection of the food microorganism is realized, the detection cost is low, and the multispectral food microorganism detection device is suitable for daily life.
As shown in fig. 1 to 3, the present invention further provides a method for detecting food microorganisms based on multispectral technology, comprising the following steps:
s1: the method comprises the steps of acquiring multispectral data of different food microorganisms by adopting a food microorganism standard sample and a food microorganism training sample, then processing and analyzing the multispectral data of the different food microorganisms, establishing a standard food microorganism multispectral model, and forming a food microorganism multispectral standard database as a judgment basis for food microorganism detection.
The food microorganism standard sample is used for establishing standard microorganism multispectral data, is a pure microorganism related to food, comprises a food microorganism strain purchased from the national strain preservation center, and can also be a culture strain separated and purified from food and a strain related to food safety.
The food microorganism training sample is used for simulating a real environment to establish simulated multispectral data, wherein the data acquisition method comprises the following steps: different strains with different concentrations are sprayed on different food surfaces, and corresponding multispectral data are collected.
The multispectral data of different food microorganisms consists of multispectral data of food microorganism standard samples and food microorganism training samples, effective detection data can enter a database, accuracy of a multispectral model is enhanced, and all the multispectral data can be dynamically updated and contain spectral information and image information of different food microorganisms.
The standard food microorganism multi-spectral model is obtained by processing and analyzing multi-spectral data of different food microorganisms and is used as a detection judgment basis to be fed back to the multi-spectral detector 3; the processing and analyzing method is a clustering discrimination and analysis method and comprises an Euclidean distance method, a deep neural network method, a convolutional neural network method and the like.
S2: opening the box body 1, starting the excitation light source 2 and the multispectral detector 3, lighting the lighting part of the excitation light source 2 at the moment, closing the sterilization part, and placing the food 4 to be detected at the lower end in the box body 1; then the box body 1 is closed to form a closed and stable space environment (to avoid introducing external microorganisms and prevent other light sources from interfering the detection light source), at the moment, the illumination part of the excitation light source 2 is closed, the sterilization part is lightened to irradiate the food 4 to be detected, the unknown microorganisms on the surface of the food are excited, and the unknown microorganisms on the surface of the food are acted by the excitation light source 2 to generate multispectral data. The multispectral data includes spectral information and image information of an absorption spectrum, a reflection spectrum, a scattering spectrum or a fluorescence spectrum.
S3: acquiring spectral information and image information of the surface of the food by a multispectral detector 3, performing primary processing on multispectral data of a target area, and comparing the processed multispectral data with spectral data in a food microorganism multispectral standard database;
when the spectral information generated by unknown microorganisms is matched with a certain microorganism standard spectral model in a food microorganism multispectral standard database, the food is judged to contain the microorganisms, and the content of the microorganisms is calculated according to the intensity of the spectral signals to obtain the information that the surface of the food contains a certain amount of certain microorganisms;
s4: the multispectral detector 3 feeds back information of a certain amount of microorganisms on the surface of the food to the data processing terminal, and then feeds back the information to a user through the data processing terminal.
In summary, the food microorganism detection device and the detection method based on the multispectral technology of the invention can nondestructively acquire the spectral data of the food microorganisms by adopting the multispectral detector 3, analyze and process the data, realize the real-time detection of the food microorganisms, have low detection cost, are suitable for daily life, and enable people to conveniently and rapidly know the information of the food microorganisms in the daily life.
Any combination of the various embodiments of the present invention should be considered as disclosed in the present invention, unless the inventive concept is contrary to the present invention; within the scope of the technical idea of the invention, any combination of various simple modifications and different embodiments of the technical solution without departing from the inventive idea of the present invention shall fall within the protection scope of the present invention.
Claims (10)
1. A food microorganism detection device based on multispectral technology is characterized by comprising: the device comprises a box body, an excitation light source and a multispectral detector; the excitation light source and the multispectral detector are both arranged in the box body, and the excitation light source is used for irradiating food to be detected and exciting unknown microorganisms on the surface of the food to generate multispectral data; the multispectral detector is used for collecting, extracting, comparing and judging multispectral data generated by food and outputting a result;
the spectral bands detected by the multispectral detector comprise an ultraviolet band, a visible band and a part of near-infrared band, the detected wavelength range is 250-1100nm, and the multispectral detector is connected with a food microorganism multispectral standard database.
2. The multi-spectral technology based food microbial detection device of claim 1, wherein: the wavelength range of the excitation light source is 190-550 nm.
3. The multi-spectral technology based food microbial detection device of claim 1, wherein: the multispectral detector is integrated with a data processing terminal, and the food microorganism multispectral standard database is arranged on the data processing terminal.
4. The multi-spectral technology based food microbial detection device of claim 1, wherein: the multispectral detector and the data processing terminal are designed in a split mode, the multispectral detector is in communication connection with the data processing terminal, and the food microorganism multispectral standard database is arranged on the data processing terminal.
5. The multi-spectral technology based food microbial detection device of claim 1, wherein: the excitation light source and the multispectral detector are both arranged at the upper end of the box body, the excitation light source further comprises an illumination part and a sterilization part, the sterilization part is an ultraviolet sterilization lamp, and the illumination part is an LED lamp.
6. A method for detecting microorganisms in food based on multispectral technology, wherein the detection device according to any one of claims 1 to 5 is used, and comprises the following steps:
s1: acquiring multispectral data of different food microorganisms by adopting a food microorganism standard sample and a food microorganism training sample, then processing and analyzing the multispectral data of different food microorganisms, and establishing a standard food microorganism multispectral model to form a food microorganism multispectral standard database;
s2: opening the box body, starting the excitation light source and the multispectral detector, and placing the food to be detected at the lower end in the box body; then closing the box body, and exciting the food to be detected by the excitation light source to excite unknown microorganisms on the surface of the food to generate multispectral data;
s3: collecting multispectral data of the surface of the food by a multispectral detector, performing primary processing on the multispectral data of a target area, and comparing the processed multispectral data with a food microorganism multispectral standard database; when the spectral information generated by unknown microorganisms is matched with a standard spectral model of a certain microorganism in a food microorganism multispectral standard database, judging that the food contains the microorganism, and calculating the content of the microorganism according to the intensity of a spectral signal to obtain the information that the surface of the food contains a certain amount of the certain microorganism;
s4: the information of a certain amount of certain microorganism contained on the surface of the food is fed back to the data processing terminal through the multispectral detector, and then is fed back to a user through the data processing terminal.
7. The method for detecting microorganisms in food based on multispectral technology of claim 6, wherein the multispectral technology comprises: at S1, the food microorganism standards samples are used to establish standard microbial multispectral data.
8. The method for detecting microorganisms in food based on multispectral technology of claim 6, wherein the multispectral technology comprises: in S1, the food microbial training sample is used to simulate a real environment to establish simulated multispectral data, wherein the data acquisition method comprises: different strains with different concentrations are sprayed on different food surfaces, and corresponding multispectral data are collected.
9. The method for detecting microorganisms in food based on multispectral technology of claim 6, wherein the multispectral technology comprises: in S1, the processing and analyzing method used is a cluster analysis method, including an euclidean distance method, a deep neural network method, and a convolutional neural network method.
10. The method for detecting microorganisms in food based on multispectral technology of claim 6, wherein the multispectral technology comprises: in S2, the multispectral data includes spectral information and image information of an absorption spectrum, a reflection spectrum, a scattering spectrum, or a fluorescence spectrum.
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| Publication number | Priority date | Publication date | Assignee | Title |
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