CN111811998B - Method for determining strongly-absorbable biological particle component under target waveband - Google Patents
Method for determining strongly-absorbable biological particle component under target waveband Download PDFInfo
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- CN111811998B CN111811998B CN202010901746.5A CN202010901746A CN111811998B CN 111811998 B CN111811998 B CN 111811998B CN 202010901746 A CN202010901746 A CN 202010901746A CN 111811998 B CN111811998 B CN 111811998B
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Abstract
The invention discloses a method for determining a strongly absorptive biological particle component in a target waveband, which comprises the following steps: constructing a biological substance-electromagnetic wave absorption characteristic space, a biological particle biological substance-composition proportion sample space and a biological particle-electromagnetic wave absorption characteristic sample space; obtaining and sequencing electromagnetic wave absorption values of all biological substances under a target waveband; determining the content of biological substances corresponding to the maximum electromagnetic wave absorption value and the minimum electromagnetic wave absorption value under the target waveband; obtaining a plurality of groups of biological substance composition proportions with the biological substance content close to that corresponding to the maximum electromagnetic wave absorption value and the minimum electromagnetic wave absorption value; acquiring the electromagnetic wave absorption value of biological particles formed by each group of biological substances in proportion under a target waveband; and selecting the biological substance composition proportion corresponding to the maximum electromagnetic wave absorption value as the strongly-absorbable biological particle component under the target waveband. The invention can quickly and accurately obtain the best component of the biological particles with the strongest absorption capacity.
Description
Technical Field
The invention belongs to the technical field of biology, and particularly relates to a method for determining a strongly absorptive biological particle component in a target waveband.
Background
Bioaerosols are aerosol structures composed of a large number of biological particles suspended in air, which are produced in both naturally-occurring and artificially-generated ways. The biological particles are mainly composed of substances such as water, protein, polysaccharide, lipid and the like, and the substances have certain absorption effect, even strong absorption effect at different frequency bands and frequency points. Biological aerosol with strong absorbability in a target frequency band (strong absorbability means that the absorption intensity of biological particles per unit mass on electromagnetic waves of a target waveband or a target frequency point is more than 110% of the absorption intensity of pure water with the same mass on the electromagnetic waves of the target waveband or the target frequency point under the same test condition) can be generated by taking biological particles as raw materials, has strong attenuation capacity on the electromagnetic waves of the target frequency band or the target frequency point, and can be used for protecting the electromagnetic field of the target frequency band or the target frequency point in a specific environment.
At present, a spectrometer is mainly used for collecting the spectrum of a specific biological particle in a visible light frequency band, and the composition of the substance component of the biological particle is analyzed through an absorption peak. However, the electromagnetic absorption characteristics of biological particles based on spectroscopy have three problems: firstly, the cost is high, a spectrometer or a centrifuge and other equipment are needed to be used for each measurement, and higher experimental cost needs to be paid; secondly, the time is long, and each measurement needs to complete a plurality of procedures such as biological particle culture, separation, tabletting, centrifugation and the like; thirdly, the test result has no popularization significance and only represents the electromagnetic absorption characteristic of a specific biological particle or the relative strength of the electromagnetic absorption characteristic of a limited type of biological particle. If biological particles with strong absorption characteristics need to be screened by using a spectroscopy technology according to a target frequency band, a plurality of (supposedly M) biological particles need to be selected for culture, then the M biological particles are made into corresponding samples according to the requirements of equipment tests to be subjected to absorption curve measurement, and finally the absorption capacities of the M biological particles are compared to determine the type with relatively strong absorption capacity in the target frequency band. The electromagnetic absorption characteristics of the screened biological particles in the target frequency band are relatively strong only in the M types of biological particles, and the biological particles cannot be guaranteed to have the strongest absorption capability in more types of biological particles.
Disclosure of Invention
The invention aims to provide a method for determining a strongly absorptive biological particle component in a target waveband, which can quickly and accurately obtain an optimal component of a biological particle with strong absorption capacity.
In order to achieve the purpose, the invention adopts the following technical scheme:
a method for determining strongly absorptive biological particle components in a target waveband, comprising the steps of:
step one, constructing a biological substance-electromagnetic wave absorption characteristic space, a biological particle biological substance-composition proportion sample space and a biological particle-electromagnetic wave absorption characteristic sample space;
acquiring electromagnetic wave absorption values of all biological substances in a target waveband from a biological substance-electromagnetic wave absorption characteristic space, and sequencing to obtain biological substances corresponding to the maximum electromagnetic wave absorption value and the minimum electromagnetic wave absorption value in the target waveband;
determining the maximum electromagnetic wave absorption value and the biological substance content corresponding to the minimum electromagnetic wave absorption value under the target waveband according to the biological substance content constraint condition;
acquiring a plurality of groups of biological substance composition proportions close to the biological substance content corresponding to the maximum electromagnetic wave absorption value and the minimum electromagnetic wave absorption value from a biological particle biological substance-composition proportion sample space;
acquiring an electromagnetic wave absorption value of biological particles formed by each group of biological substances in proportion in a target waveband from a biological particle-electromagnetic wave absorption characteristic sample space;
and step six, selecting the biological substance composition proportion corresponding to the maximum electromagnetic wave absorption value from the electromagnetic wave absorption values of the biological particles composed of the biological substance composition proportions in the target waveband as a strongly-absorbable biological particle component in the target waveband.
Further, the biological substances include water, proteins, carbohydrates, and lipids.
Further, in the third step, the constraint conditions of the content of the biological substances are as follows:
70%≤C band/important frequency point, water content ≤95%；
2%≤C Band/important frequency point, protein content ≤20%；
1%≤C Band/important frequency point, polysaccharide content ≤10%；
1%≤C Band/important frequency point, lipid content ≤10%；
C Band/important frequency point, water content+C Band/important frequency point, protein content+C Band/important frequency point, polysaccharide content+C Band/important frequency point, lipid content=1；
Wherein the content of the first and second substances,C band/important frequency point, water contentThe weight ratio of water in the biological particles corresponding to the wave band/important frequency point is obtained;C band/important frequency point, protein contentThe weight ratio of the protein in the biological particles corresponding to the wave band/important frequency point;C band/important frequency point, polysaccharide contentThe weight ratio of polysaccharide in the biological particles corresponding to the wave band/important frequency point;C band/important frequency point, polysaccharide contentThe weight ratio of the lipid in the biological particles corresponding to the wave band/important frequency point is shown.
Further, the bands include visible light, infrared bands, and millimeter waves.
Further, the construction process of the biological substance-electromagnetic wave absorption characteristic space is as follows:
selecting N strains for biological particle cultivation;
under the condition that the biological particles are in a mature and healthy state, performing cell separation on various cultured biological particle samples by adopting a cell separation method to obtain N samples of each biological substance;
measuring the average electromagnetic wave absorption value of each wave band, the average electromagnetic wave absorption value of the key frequency band of each wave band and the electromagnetic wave absorption value of the key frequency point of the key frequency band of each sample of each biological substance under the unit mass;
and respectively calculating the average value of N parts of value samples for measuring the average electromagnetic wave absorption value of each wave band, the average electromagnetic wave absorption value of the key frequency band of each wave band and the electromagnetic wave absorption value of the key frequency point of the key frequency band of each biological substance under the unit mass, thereby obtaining a biological substance-electromagnetic wave absorption characteristic space.
Further, the construction process of the biological particle biological substance-composition ratio sample space is as follows:
selecting N strains for biological particle cultivation;
and under the mature and healthy state of the biological particles, performing cell separation on each cultured biological particle sample by adopting a cell separation method, and then weighing to obtain the weight proportion corresponding to each biological substance in each biological particle, thereby obtaining a biological particle biological substance-composition proportion sample space.
Further, the construction process of the biological particle-electromagnetic wave absorption characteristic sample space is as follows:
selecting N strains for biological particle cultivation;
and under the state that the biological particles are mature and healthy, measuring the average electromagnetic wave absorption value of each wave band, the average electromagnetic wave absorption value of the key frequency band of each wave band and the electromagnetic wave absorption value of the key frequency point of the key frequency band of each biological particle sample under unit mass, thereby obtaining a biological particle-electromagnetic wave absorption characteristic sample space.
The invention has the beneficial effects that:
according to the invention, the best composition proportion of biological particle components can be rapidly and accurately determined by adopting the biological substance-electromagnetic wave absorption characteristic space, the biological particle-biological substance-composition proportion sample space, the biological particle-electromagnetic wave absorption characteristic sample space and the biological substance content constraint conditions, so that biological particles with strong absorption effects can be screened out, and the method is simple and short in time consumption; the invention can determine the best type of biological particles in all available biological particles based on the material composition percentage of each type of biological particles in all available biological particles, and has wide screening range.
Drawings
FIG. 1 is a schematic flow chart of the method for determining the components of strongly absorptive biological particles in a target wavelength band according to the present invention;
FIG. 2 is a schematic diagram of a biological substance-electromagnetic wave absorption characteristic space construction process;
FIG. 3 is a schematic diagram of a biological particle biomass-composition ratio sample space construction process;
fig. 4 is a schematic diagram of a sample space construction process of biological particle-electromagnetic wave absorption characteristics.
Detailed Description
The following detailed description of embodiments of the invention refers to the accompanying drawings.
The principle of the embodiment: the bioaerosols are mainly composed of biological particles, which are mainly composed of substances such as water, proteins, saccharides, and lipids, and each of the biological substances constituting the biological particles has different electromagnetic wave absorption characteristics due to their different chemical structures. Therefore, when the ratio of the biological substance in the biological particle is different, the whole electromagnetic wave absorption characteristics of the biological particle are different.
Based on the above principle, the present embodiment provides a method for determining a strongly absorptive biological particle component in a target wavelength band, and referring to fig. 1, the method for determining the strongly absorptive biological particle component includes the following steps:
s1, constructing a biological substance-electromagnetic wave absorption characteristic space, a biological particle biological substance-composition proportion sample space and a biological particle-electromagnetic wave absorption characteristic sample space.
The process of constructing the biological substance-electromagnetic wave absorption characteristic space of the present embodiment, as shown in fig. 2, includes:
s111, selecting N strains for biological particle cultivation;
in the embodiment, N is more than or equal to 50, biological particles are representative, and high-quality strains are selected for cultivation.
S112, under the condition that the biological particles are in a mature and healthy state, performing cell separation on various cultured biological particle samples by adopting a cell separation method to obtain N samples of each biological substance;
s113, measuring the average absorption value of each wave band, the average absorption value of an important frequency band and the absorption value of an important frequency point of each sample of each biological substance under unit mass;
in this embodiment, by means of a tablet compression method, a suspension method, an aerosol method, and the like, a spectrometer and other devices are used to measure each band of each sample in unit mass, such as visible light, infrared band, millimeter wave, and the like, an average absorption value of an important frequency band in each band, and an absorption value of an important frequency point of the important frequency band.
S114, respectively calculating the average absorption value of each wave band of each biological substance under unit mass, the average absorption value of the important frequency band of each wave band and N parts of value samples of the absorption value of the key frequency point of each wave band, thereby obtaining a biological substance-electromagnetic wave absorption characteristic space.
The process of constructing the sample space of biological particle and biological substance composition ratio of the embodiment, referring to fig. 3, includes:
s121, selecting N strains for biological particle cultivation;
s122, under the condition that the biological particles are in a mature and healthy state, a cell separation method is adopted to carry out cell separation on each cultured biological particle sample, and then weighing is carried out, so that the weight proportion corresponding to each biological substance in each biological particle is obtained, and the biological particle biological substance-composition proportion sample space is obtained.
This example uses a high-precision weighing device to weigh and obtain the constituent proportions (e.g., weight proportions or weight percentages) of water, protein, polysaccharide, and lipid in each bio-particle.
The process of constructing the biological particle-electromagnetic wave absorption characteristic sample space of the present embodiment, with reference to fig. 4, includes:
s131, selecting N strains for biological particle cultivation;
s132, under the condition that the biological particles are in a mature and healthy state, measuring the average absorption value of each wave band (such as visible light, infrared wave band and millimeter wave) of each biological particle sample in unit mass under a non-destructive natural state, the average absorption value of a key frequency band of each wave band and the absorption value of a key frequency point of the key frequency band, so as to obtain a biological particle-electromagnetic wave absorption characteristic sample space.
The biological substances of this example include water, proteins, carbohydrates, and lipids.
S2, obtaining the electromagnetic wave absorption value of each biological substance in the target waveband from the biological substance-electromagnetic wave absorption characteristic space, and sequencing to obtain the biological substance corresponding to the maximum electromagnetic wave absorption value and the minimum electromagnetic wave absorption value in the target waveband.
The bands of the present embodiment include visible light, infrared bands, and millimeter waves. The method comprises the steps of determining the biological substances corresponding to the maximum electromagnetic wave absorption value and the minimum electromagnetic wave absorption value under a target frequency band by sequencing different biological substances with different electromagnetic wave absorption capacities under different wave bands according to the size of the electromagnetic wave absorption values, wherein the biological substance corresponding to the maximum electromagnetic wave absorption value under the target wave band of 3-5 mu m is water, and the biological substance corresponding to the minimum electromagnetic wave absorption value is polysaccharide.
And S3, determining the content of the biological substances corresponding to the maximum electromagnetic wave absorption value and the minimum electromagnetic wave absorption value under the target waveband according to the constraint condition of the content of the biological substances.
In this example, the constraints on the content of the biological substances are:
70%≤C band/important frequency point, water content ≤95%；
2%≤C Band/important frequency point, protein content ≤20%；
1%≤C Band/important frequency point, polysaccharide content ≤10%；
1%≤C Band/important frequency point, lipid content ≤10%；
C Band/important frequency point, water content+C Band/important frequency point, protein content+C Band/important frequency point, polysaccharide content+C Band/important frequency point, lipid content=1；
Wherein the content of the first and second substances,C band/important frequency point, water contentThe weight ratio of water in the biological particles corresponding to the wave band/important frequency point is obtained;C band/important frequency point, protein contentThe weight ratio of the protein in the biological particles corresponding to the wave band/important frequency point;C band/important frequency point, polysaccharide contentThe weight ratio of polysaccharide in the biological particles corresponding to the wave band/important frequency point;C band/important frequency point, polysaccharide contentThe weight ratio of the lipid in the biological particles corresponding to the wave band/important frequency point is shown. If the biological particles with higher water content have stronger absorption capacity of 1-3 μm, but are constrained by the content of biological substances in the biological particles, the highest content of water corresponding to the maximum electromagnetic wave absorption value is 95%, the absorption capacity of polysaccharide is the weakest, and the lowest content of polysaccharide corresponding to the minimum electromagnetic wave absorption value is 1%.
And S4, acquiring a plurality of groups of biological substance composition ratios with biological substance contents close to the maximum electromagnetic wave absorption value and the minimum electromagnetic wave absorption value from the biological particle biological substance-composition ratio sample space.
In this example, the number of bio-particulate bio-matter-constituent proportion samples in the bio-particulate bio-matter constituent proportion sample space is greater than 50.
S5, acquiring the electromagnetic wave absorption value of the biological particles composed of each group of biological substances according to the composition ratio in the target waveband from the biological particle-electromagnetic wave absorption characteristic sample space.
In the present embodiment, the number of the biological particle-electromagnetic wave absorption characteristic samples in the biological particle-electromagnetic wave absorption characteristic sample space is more than 50.
S6, selecting the biological substance composition ratio corresponding to the maximum electromagnetic wave absorption value from the electromagnetic wave absorption values of the biological particles composed of the biological substance composition ratios in the target waveband as the strongly absorptive biological particle component in the target waveband.
For example, the optimal components of the biological particles with strong absorption in the frequency range of 1-3 μm are 95% of water, 3% of protein, 1% of polysaccharide and 1% of lipid.
It should be noted that, when there is only one group of biological substance composition ratios close to the biological substance content corresponding to the maximum electromagnetic wave absorption value and the minimum electromagnetic wave absorption value, the biological substance composition ratio corresponding to the group is the strongly absorptive biological particle component in the target wavelength band. The term "strong absorption" in the present embodiment means that the absorption intensity of the unit mass of biological particles to the electromagnetic waves of the target band or the target frequency point is more than 110% of the absorption intensity of the same mass of pure water to the electromagnetic waves of the target band or the target frequency point under the same test conditions.
In the embodiment, the best composition proportion of biological particle components can be rapidly and accurately determined by adopting a biological substance-electromagnetic wave absorption characteristic space, a biological particle-biological substance composition proportion sample space, a biological particle-electromagnetic wave absorption characteristic sample space and a biological substance content constraint condition, so that biological particles with strong absorption effects can be screened, and the method is simple and short in time consumption; the embodiment can determine the best type of biological particles from all available biological particles based on the material composition percentage of each type of biological particles in all available biological particles, and the screening range is wide.
The technical scheme given by the embodiment is described below by taking strongly absorbing biological particles with target frequency bands of 1-3 μm, 3-5 μm and 22GHz as examples:
example 1:
1. obtaining electromagnetic wave absorption values of water, protein, polysaccharide and lipid in a target waveband of 1-3 mu m from a biological substance-electromagnetic wave absorption characteristic space, wherein the electromagnetic wave absorption values are respectively as follows:
after sequencing according to the electromagnetic wave absorption values, the biological substances corresponding to the maximum electromagnetic wave absorption value and the minimum electromagnetic wave absorption value under the target waveband of 1-3 mu m are respectively water and lipid, namely the water absorption capacity is strongest and the lipid absorption capacity is weakest.
2. Determining water and lipid contents corresponding to a maximum electromagnetic wave absorption value and a minimum electromagnetic wave absorption value under a target waveband of 1-3 mu m according to a biological substance content constraint condition: the maximum content of water is 95% and the minimum content of lipids is 1%. Therefore, the ideal strong absorption biological particles within the frequency range of 1-3 mu m contain 95 percent of water, 1 percent of lipid and 4 percent of total content of protein and polysaccharide.
3. Obtaining a plurality of groups of biological substance composition ratios with the biological substance content close to the maximum electromagnetic wave absorption value and the biological substance content close to the minimum electromagnetic wave absorption value from a biological particle biological substance-composition ratio sample space:
4. acquiring an electromagnetic wave absorption value of biological particles composed of each group of biological substances in a proportion at a target waveband of 1-3 mu m from a biological particle-electromagnetic wave absorption characteristic sample space:
5. the Aspergillus niger substance component is selected as a biological particle with strong absorptivity under 1-3 mu m.
Example 2:
1. obtaining electromagnetic wave absorption values of water, protein, polysaccharide and lipid in a target waveband of 3-5 mu m from a biological substance-electromagnetic wave absorption characteristic space, wherein the electromagnetic wave absorption values are respectively as follows:
after sequencing according to the electromagnetic wave absorption values, the biological substances corresponding to the maximum electromagnetic wave absorption value and the minimum electromagnetic wave absorption value under the target waveband of 3-5 mu m are respectively protein and water, namely the protein has the strongest absorption capacity and the water has the weakest absorption capacity.
2. Determining protein and water corresponding to a maximum electromagnetic wave absorption value and a minimum electromagnetic wave absorption value under a target waveband of 3-5 mu m according to a biological substance content constraint condition: the maximum protein content is 20% and the minimum water content is 70%. Therefore, the content of protein, the content of water and the total content of lipid and polysaccharide in the ideal strong absorption biological particles within the target waveband of 3-5 microns are 20%, 70% and 10%.
3. Obtaining a plurality of groups of biological substance composition ratios with the biological substance content close to the maximum electromagnetic wave absorption value and the biological substance content close to the minimum electromagnetic wave absorption value from a biological particle biological substance-composition ratio sample space:
4. acquiring an electromagnetic wave absorption value of biological particles composed of each group of biological substances in a proportion at a target waveband of 3-5 mu m from a biological particle-electromagnetic wave absorption characteristic sample space:
5. selecting spore substance components as strongly-absorbable biological particles with the particle size of 3-5 mu m.
Example 3:
1. the electromagnetic wave absorption values of water, protein, polysaccharide and lipid at a frequency point of 22GHz obtained from the biological substance-electromagnetic wave absorption characteristic space are respectively as follows:
after sequencing according to the electromagnetic wave absorption values, the biological substances corresponding to the maximum electromagnetic wave absorption value and the minimum electromagnetic wave absorption value under the frequency point of 22GHz are respectively water and lipid, namely, the water absorption capacity is strongest, and the lipid absorption capacity is weakest.
2. Determining water and lipid contents corresponding to the maximum electromagnetic wave absorption value and the minimum electromagnetic wave absorption value at the frequency point of 22GHz according to the constraint condition of the content of the biological substances: the maximum content of water is 95% and the minimum content of lipids is 1%. Therefore, the ideal strong absorption biological particles in the frequency point of 22GHz have the water content of 95 percent, the lipid content of 1 percent and the total content of protein and polysaccharide of 4 percent.
3. Obtaining a plurality of groups of biological substance composition ratios with the biological substance content close to the maximum electromagnetic wave absorption value and the biological substance content close to the minimum electromagnetic wave absorption value from a biological particle biological substance-composition ratio sample space:
4. acquiring the electromagnetic wave absorption value of biological particles formed by each group of biological substances in proportion in a target waveband of a 22GHz frequency point from a biological particle-electromagnetic wave absorption characteristic sample space:
5. the rhizopus species component is selected as a strongly absorptive biological particle at a frequency of 22 GHz.
Although the embodiments of the present invention have been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that various changes may be made and equivalents may be substituted without departing from the spirit and scope of the embodiments of the present invention.
Claims (6)
1. A method for determining a strongly absorptive biological particle component in a target waveband, the method comprising the steps of:
step one, constructing a biological substance-electromagnetic wave absorption characteristic space, a biological particle biological substance-composition proportion sample space and a biological particle-electromagnetic wave absorption characteristic sample space;
acquiring electromagnetic wave absorption values of all biological substances in a target waveband from a biological substance-electromagnetic wave absorption characteristic space, and sequencing to obtain biological substances corresponding to the maximum electromagnetic wave absorption value and the minimum electromagnetic wave absorption value in the target waveband;
determining the maximum electromagnetic wave absorption value and the biological substance content corresponding to the minimum electromagnetic wave absorption value under the target waveband according to the biological substance content constraint condition;
in the third step, the constraint conditions of the content of the biological substances are as follows:
70％≤Cband/important frequency point, water content≤95％；
2％≤CBand/important frequency point, protein content≤20％；
1％≤CBand/important frequency point, polysaccharide content≤10％；
1％≤CBand/important frequency point, lipid content≤10％；
CBand/important frequency point, water content+CBand/important frequency point, protein content+CBand/important frequency point, polysaccharide content+CBand/important frequency point, lipid content＝1；
Wherein, CBand/important frequency point, water contentThe weight ratio of water in the biological particles corresponding to the wave band/important frequency point is obtained; cBand/important frequency point, protein contentThe weight ratio of the protein in the biological particles corresponding to the wave band/important frequency point; cBand/important frequency point, polysaccharide contentThe weight ratio of polysaccharide in the biological particles corresponding to the wave band/important frequency point; cBand/important frequency point, polysaccharide contentThe weight ratio of the lipid in the biological particles corresponding to the wave band/important frequency point;
acquiring a plurality of groups of biological substance composition proportions close to the biological substance content corresponding to the maximum electromagnetic wave absorption value and the minimum electromagnetic wave absorption value from a biological particle biological substance-composition proportion sample space;
acquiring an electromagnetic wave absorption value of biological particles formed by each group of biological substances in proportion in a target waveband from a biological particle-electromagnetic wave absorption characteristic sample space;
and step six, selecting the biological substance composition proportion corresponding to the maximum electromagnetic wave absorption value from the electromagnetic wave absorption values of the biological particles composed of the biological substance composition proportions in the target waveband as a strongly-absorbable biological particle component in the target waveband.
2. The method of claim 1, wherein the biological material comprises water, proteins, carbohydrates, and lipids.
3. The determination method according to claim 1, wherein the target band includes visible light, an infrared band, and millimeter waves.
4. The method according to any one of claims 1 to 3, wherein the biological material-electromagnetic wave absorption characteristic space is constructed by:
selecting N strains for biological particle cultivation;
under the condition that the biological particles are in a mature and healthy state, performing cell separation on various cultured biological particle samples by adopting a cell separation method to obtain N samples of each biological substance;
measuring the average electromagnetic wave absorption value of each wave band, the average electromagnetic wave absorption value of the key frequency band of each wave band and the electromagnetic wave absorption value of the key frequency point of the key frequency band of each sample of each biological substance under the unit mass;
and respectively calculating the average value of N parts of value samples for measuring the average electromagnetic wave absorption value of each wave band, the average electromagnetic wave absorption value of the key frequency band of each wave band and the electromagnetic wave absorption value of the key frequency point of the key frequency band of each biological substance under the unit mass, thereby obtaining a biological substance-electromagnetic wave absorption characteristic space.
5. The method of claim 4, wherein the construction of the bio-particulate bio-material-composition ratio sample space is as follows:
selecting N strains for biological particle cultivation;
and under the mature and healthy state of the biological particles, performing cell separation on each cultured biological particle sample by adopting a cell separation method, and then weighing to obtain the weight proportion corresponding to each biological substance in each biological particle, thereby obtaining a biological particle biological substance-composition proportion sample space.
6. The determination method according to claim 4, wherein the construction process of the biological particle-electromagnetic wave absorption characteristic sample space is:
selecting N strains for biological particle cultivation;
and under the state that the biological particles are mature and healthy, measuring the average electromagnetic wave absorption value of each wave band, the average electromagnetic wave absorption value of the key frequency band of each wave band and the electromagnetic wave absorption value of the key frequency point of the key frequency band of each biological particle sample under unit mass, thereby obtaining a biological particle-electromagnetic wave absorption characteristic sample space.
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Family Cites Families (26)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| FR2826783B1 (en) * | 2001-07-02 | 2005-04-22 | Aldivia | ENERGY APPLICATORS ADAPTED AS WELL AS DIELECTRIC HEATING OF COMPOUNDS WITH HIGH DIELECTRIC CONSTANTS AS COMPOUNDS ABSORBING LITTLE ELECTROMAGNETIC WAVES |
| JP5172467B2 (en) * | 2008-05-22 | 2013-03-27 | 日本電信電話株式会社 | Quantitative spectroscopic analysis of blood components |
| CN102870235B (en) * | 2009-11-10 | 2016-11-23 | 免疫之光有限责任公司 | The Up/Down Conversion system launching light is produced for the various energy sources from the radio frequency included for up-conversion, microwave energy and magnetic induction source |
| CN201555802U (en) * | 2009-11-19 | 2010-08-18 | 浙江大学 | Black fungus protein content rapid-detection device based on characteristic bands |
| WO2012043023A1 (en) * | 2010-09-30 | 2012-04-05 | テルモ株式会社 | Component measurement device |
| JP5645125B2 (en) * | 2011-01-24 | 2014-12-24 | 国立大学法人名古屋大学 | Sweat measurement method |
| CN102759535B (en) * | 2011-04-27 | 2014-12-17 | 航天信息股份有限公司 | Device and method for detecting water content of grain on basis of radio frequency identification (RFID) technology |
| CN102435564B (en) * | 2011-09-19 | 2013-09-18 | 南京农业大学 | Method for estimating plant nitrogen content based on three-band spectral index |
| CN103234877B (en) * | 2013-04-10 | 2015-03-18 | 中国科学院合肥物质科学研究院 | An inversion method for laser radar data of atmospheric particulate matter particle size spectrum spatial and temporal distribution |
| CN104181622A (en) * | 2014-07-07 | 2014-12-03 | 浙江大学 | Design method for large-bandwidth strong-absorption metamaterial near-infrared wave-absorbing material |
| CN107155349A (en) * | 2014-08-18 | 2017-09-12 | 福斯分析仪器公司 | The determination of the composition correlation properties of multicomponent sample |
| CN104849232B (en) * | 2015-04-27 | 2019-02-01 | 中国农业科学院蜜蜂研究所 | A kind of method of quick detection royal jelly moisture and protein content |
| SE540878C2 (en) * | 2015-06-29 | 2018-12-11 | Briano Floria Ottonello | A sensor device and a method of detecting a component in gas |
| CN105510241B (en) * | 2015-11-25 | 2019-04-16 | 中国矿业大学(北京) | A kind of multispectral remote sensing reflectivity image Absorption Characteristics extracting method |
| US9851287B2 (en) * | 2016-03-03 | 2017-12-26 | International Business Machines Corporation | Size distribution determination of aerosols using hyperspectral image technology and analytics |
| CN115254210A (en) * | 2016-11-14 | 2022-11-01 | 浩康生物系统公司 | Method and apparatus for sorting target particles |
| CN106770004A (en) * | 2016-11-22 | 2017-05-31 | 福建医科大学 | Method based on the species and content of microorganism in near-infrared spectrum technique detection dairy products |
| CN107255623A (en) * | 2017-06-15 | 2017-10-17 | 中国科学院合肥物质科学研究院 | A kind of portable multicomponent gas infrared spectrum detecting system |
| CN107421895A (en) * | 2017-06-30 | 2017-12-01 | 中国水利水电科学研究院 | A kind of water quality parameter retrieving concentration method and apparatus of multiband optimum organization |
| CN206974900U (en) * | 2017-06-30 | 2018-02-06 | 北京农业信息技术研究中心 | A kind of plant moisture content detection device based on terahertz light |
| CN107643263B (en) * | 2017-08-31 | 2021-01-26 | 上海市第一康复医院(上海市杨浦区老年医院) | Biomolecule detection method based on optical comb coherent imaging analysis |
| CN109991194B (en) * | 2017-12-29 | 2022-04-26 | 天津先阳科技发展有限公司 | Method for inhibiting temperature interference in diffuse reflection spectrum, spectrum analysis method and device |
| CN111198165A (en) * | 2020-01-14 | 2020-05-26 | 重庆理工大学 | Method for measuring water quality parameters based on spectral data standardization |
| CN111307755A (en) * | 2020-03-20 | 2020-06-19 | 中国科学院上海高等研究院 | Method for detecting liquid sample based on terahertz technology |
| CN111551516B (en) * | 2020-05-14 | 2023-03-14 | 南京邮电大学 | Efficient visual terahertz detector and preparation and test methods thereof |
| CN111537425B (en) * | 2020-07-09 | 2020-11-10 | 中国人民解放军国防科技大学 | Rapid calculation method for biological aerosol strong extinction characteristic particle morphology |
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