CN112525854A - Method for identifying components - Google Patents
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- CN112525854A CN112525854A CN201910882229.5A CN201910882229A CN112525854A CN 112525854 A CN112525854 A CN 112525854A CN 201910882229 A CN201910882229 A CN 201910882229A CN 112525854 A CN112525854 A CN 112525854A
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- near infrared
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- 238000000034 method Methods 0.000 title claims abstract description 32
- 238000001514 detection method Methods 0.000 claims abstract description 13
- 238000000985 reflectance spectrum Methods 0.000 claims abstract description 7
- 238000002834 transmittance Methods 0.000 claims abstract description 6
- 230000001678 irradiating effect Effects 0.000 claims abstract description 4
- 229910000530 Gallium indium arsenide Inorganic materials 0.000 claims description 18
- 239000002096 quantum dot Substances 0.000 claims description 11
- 238000001228 spectrum Methods 0.000 claims description 7
- OAICVXFJPJFONN-UHFFFAOYSA-N Phosphorus Chemical compound [P] OAICVXFJPJFONN-UHFFFAOYSA-N 0.000 claims description 3
- 230000035515 penetration Effects 0.000 claims description 3
- 238000012360 testing method Methods 0.000 claims description 2
- 238000004458 analytical method Methods 0.000 abstract description 14
- 239000000047 product Substances 0.000 abstract description 12
- 235000013305 food Nutrition 0.000 abstract description 6
- 239000003814 drug Substances 0.000 abstract description 5
- 229940079593 drug Drugs 0.000 abstract description 5
- 239000012263 liquid product Substances 0.000 abstract description 2
- 239000000306 component Substances 0.000 description 25
- 235000013312 flour Nutrition 0.000 description 14
- 241000209140 Triticum Species 0.000 description 8
- 235000021307 Triticum Nutrition 0.000 description 8
- 239000000843 powder Substances 0.000 description 8
- 102000004169 proteins and genes Human genes 0.000 description 8
- 108090000623 proteins and genes Proteins 0.000 description 8
- 238000000862 absorption spectrum Methods 0.000 description 6
- 238000005516 engineering process Methods 0.000 description 4
- 230000003595 spectral effect Effects 0.000 description 4
- 239000000126 substance Substances 0.000 description 4
- 238000013461 design Methods 0.000 description 2
- 238000002474 experimental method Methods 0.000 description 2
- 238000002329 infrared spectrum Methods 0.000 description 2
- 238000002955 isolation Methods 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 239000002184 metal Substances 0.000 description 2
- 238000010561 standard procedure Methods 0.000 description 2
- YBNMDCCMCLUHBL-UHFFFAOYSA-N (2,5-dioxopyrrolidin-1-yl) 4-pyren-1-ylbutanoate Chemical class C=1C=C(C2=C34)C=CC3=CC=CC4=CC=C2C=1CCCC(=O)ON1C(=O)CCC1=O YBNMDCCMCLUHBL-UHFFFAOYSA-N 0.000 description 1
- 238000010521 absorption reaction Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000003153 chemical reaction reagent Substances 0.000 description 1
- 239000011248 coating agent Substances 0.000 description 1
- 238000000576 coating method Methods 0.000 description 1
- 238000007796 conventional method Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 235000013399 edible fruits Nutrition 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 239000005428 food component Substances 0.000 description 1
- 235000012041 food component Nutrition 0.000 description 1
- 229910052736 halogen Inorganic materials 0.000 description 1
- 150000002367 halogens Chemical class 0.000 description 1
- XCAUINMIESBTBL-UHFFFAOYSA-N lead(ii) sulfide Chemical compound [Pb]=S XCAUINMIESBTBL-UHFFFAOYSA-N 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 235000013372 meat Nutrition 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000010355 oscillation Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000010183 spectrum analysis Methods 0.000 description 1
- 239000000758 substrate Substances 0.000 description 1
- 235000013311 vegetables Nutrition 0.000 description 1
- 235000014101 wine Nutrition 0.000 description 1
Images
Classifications
-
- 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
-
- 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
-
- 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
- G01N2021/3129—Determining multicomponents by multiwavelength light
Abstract
The invention belongs to the field of detection of food, agriculture, biology, medicines and liquid products, and discloses a method for identifying components. The method is a method which uses near infrared light LEDs with different wavelengths as identification components; a light source of an invisible near-infrared light wave band is used for irradiating the sample, and the components of the article are calculated by transmitting analysis data information of the transmittance and diffuse reflectance spectrum of the sample to the data of the cloud comparison database through the mobile phone. The method can be widely applied to various foods, medicines and products with related requirements of health detection; the method is convenient for the customer to use and identify, and has practicability and popularization.
Description
Technical Field
The invention belongs to the field of detection of food, agriculture, biology, medicines and liquid products, and relates to a method for identifying components.
Background
At present, people pay more attention to the safety and health of food due to the improvement of living standard, and information including freshness of vegetables, fruits and meat, heat of food, protein content and true and false of medicines and wines becomes particularly important.
The prior art comprises the steps of detecting food components by using a near infrared spectrum detection technology, mainly using a double-integrated halogen lamp as a light source, and using a 1mm InGaAs DLP (digital light processing), wherein an image signal is digitally processed and then light is projected by the technology, and a chip on DMD (digital micromirror chip) is used as a detection component, but the detection component is expensive and causes high cost. There are also infrared LEDs as light sources and a plurality of image sensor filters as detection components, but the current detection band is not wide enough, resulting in limited detection products and still not cheap enough. Thereby causing the technology not to be easy to popularize and use.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention provides a method for identifying components, which is a method for identifying components by using near infrared light LEDs with different wavelengths; a light source of an invisible near-infrared light wave band is used for irradiating the sample, and the components of the article are calculated by transmitting analysis data information of the transmittance and diffuse reflectance spectrum of the sample to the data of the cloud comparison database through the mobile phone. The method can be widely applied to various foods, medicines and products with related requirements of health detection; the method is convenient for the customer to use and identify, and has practicability and popularization.
The above purpose of the invention is realized by the following technical scheme:
a method for identifying components comprises a COB annular near-infrared light source, a near-infrared light detector, an outer cover for isolating interference light, a circuit control system and a smart phone; the circuit control system is connected with and controls the COB annular near-infrared light source and the detector, the outer cover covers the light source and the detector to isolate external interference light, when the light source is opened to irradiate a sample, the light reflected by the outer cover can form diffuse reflection spectrum through the detector, and the data are transmitted to the mobile phone through Bluetooth.
The COB is a high-light-efficiency integrated surface light source technology for directly attaching an LED chip to a mirror surface metal substrate with high light reflection rate.
The method for identifying the components comprises the following steps:
a. irradiating the article with near infrared LEDs of different wavelengths;
b. measuring the near infrared light transmittance and diffuse reflectance spectrum of the article;
c. comparing the measured penetration rate and diffuse reflectance spectrum with known data parameters;
d. and (5) performing grading identification according to the spectrum comparison result.
The known data are standard data entered after the sample is tested in advance.
Furthermore, the light emitting wavelength of the near infrared light source is between 700 and 2500 nm;
furthermore, the detection spectrum wavelength interval of the near infrared light detector is 700-2500 nm;
further, the near infrared light LED manufacturing refers to InGaAs series LEDs or InGaN series LEDs matching with phosphor or quantum dots, and specifically may be: the LED comprises five combinations of InGaAs series LED, InGaAs series LED matched with fluorescent powder, InGaAs series LED matched with quantum dots, InGaN series LED matched with fluorescent powder and InGaN series LED matched with quantum dots;
furthermore, the fluorescent powder or the quantum dots can be excited by InGaN series LEDs and InGaAs series LEDs to generate near infrared light;
further, the near infrared light LED is photolyzed at 3-20 nm;
the invention utilizes the principle of analyzing the components of the detected substances by invisible near infrared light spectrum, utilizes a light source of invisible infrared light wave band to irradiate the product, and calculates the components of the articles by transmitting the analysis data information of the product transmittance and diffuse reflectance spectrum to the cloud comparison database through the mobile phone.
Compared with the prior art, the invention has the beneficial effects that:
the invention can design simple near infrared light component analyzers with different wavelengths according to the requirements of customers. And adjusting the light-emitting wavelength of the InGaAs or adjusting the component proportion of the fluorescent powder and the quantum dot according to the precision requirements of different objects to be detected and customers to meet the requirements of the customers.
The invention utilizes the principle that the near infrared spectral analysis can detect the material components; the light source modulation design of the near infrared LED wavelength is utilized; the illuminated product produces different spectra and is combined with the analysis of the existing cloud data to obtain relevant information. By utilizing the composition method provided by the invention, the LEDs with different wavelengths are controlled by the pure near infrared light detector, and the diffuse reflectance and transmittance of different wavelengths are respectively measured, so that a measuring instrument can be manufactured at very low cost; and the LED light sources on the COB can be flexibly replaced according to the requirements of customer products to test different products.
Drawings
FIG. 1 is a schematic overall view of the method for identifying a component according to the present invention.
FIG. 2 is a graph of the near infrared spectra of various analytes.
Fig. 3 is a circuit layout diagram in embodiment 1.
In the figure: a COB annular LED near-infrared light source; 201. a near infrared light detector; 301. an insulating enclosure; 401. a circuit control system; 501. provided is a smart phone.
Detailed description of the preferred embodiments
The invention is described in more detail below with reference to specific examples, without limiting the scope of the invention. Unless otherwise specified, the experimental methods adopted by the invention are all conventional methods, and experimental equipment, materials, reagents and the like used in the experimental method can be obtained from commercial sources.
Detailed description of the preferred embodiment 1
A method of identifying a component, as shown in figure 1, comprising the following components;
s100, a COB annular LED near-infrared light source 101 is provided.
Specifically, an InGaAs series infrared LED is used as a near infrared light source, wherein the infrared LEDs with different wave bands are used as light sources by controlling the content of In the InGaAs, and the light emitting wavelength is between 700 and 2500 nm; for example, 12 different wave bands are selected, wherein the wave bands comprise 710nm, 790nm, 810nm, 900nm, 1000nm, 1200nm, 1350nm, 1450nm, 1700nm, 1800nm, 1940nm and 2300nm, as shown in figure 2, and a plurality of different chemical bonds, such as C-H, O-H, N-H and the like, have different absorption or oscillation effects at different wavelengths, so that the LED light source on the COB can be replaced according to different products to realize measurement in the using process.
S200, a near infrared light detector 201 is provided.
S300, an isolation enclosure 301 is provided to isolate external interference light.
Specifically, in order to isolate external interference light, a metal coating outer cover can be adopted to play an isolation role.
S400, a circuit control system 401 is designed to be structurally shown in FIG. 3.
Specifically, a circuit control system is provided for controlling the light source and the sensor.
S500, a smart phone 501.
Specifically, a smart phone is provided which can obtain related information by combining the analysis of the existing cloud data. Namely, the smart phone can obtain the detection data by combining the analysis of the existing cloud data (namely, the entered standard database).
As shown in fig. 3, the step S400 may be designed to:
the current sets 8-20 can be given in sequence.
Each set of current is adjustable within 100 mA-1A.
The current pulse of each group is 10mS-50mS adjustable.
The current interval of each group is adjustable (20-100 mS).
The output quantity of each group of current pulses can be adjusted by 1-5 pulses.
The above current output can be controlled by IO.
After the diode is driven, the controller captures the PD voltage signal and feeds back to the system.
The method comprises the following specific application steps: and starting a near infrared light source to irradiate the product, acquiring the penetration rate of the product by using a detector, and transmitting data information to the cloud comparison database by using the mobile phone to calculate the components of the product.
For example, to detect the protein content of flours from different manufacturers and from different origins, a set of light sources is required, the wavelengths of which are: 1800nm, 1820nm, 1880nm, 1940nm, 2100nm, 2140nm, 2180nm, 2310nm, 2230nm, 2270nm, 2310nm, 2350 nm. The wheat flour absorption spectrum analysis device comprises a characteristic peak 2180nm waveband of protein, the wheat flour is irradiated by a group of light sources, absorption spectra of wheat flour of different manufacturers in different wavebands are collected through a detector, the absorption spectra are transmitted to a mobile phone through Bluetooth, and the mobile phone transmits data of a cloud comparison standard database to calculate the content of the protein in the wheat flour. The calculated average value of the spectral data utilizes a partial least square method, the content of components in a sample measured by a national standard method is used as a chemical index value required by the establishment of a near-infrared analysis model, the near-infrared analysis model of the protein in the flour is established, and the calculated average value of the obtained near-infrared spectral data is transmitted to the near-infrared analysis model, so that the content of the protein in the flour of different manufacturers can be obtained. The specific 1940nm wavelength in the light source group can also be used for measuring the moisture content in the sample by the same method.
Example 2
In one embodiment, the COB annular LED nir light source 101 of step S100 may further be:
the InGaAs series infrared light LED is used as a near infrared light source, and the infrared light LEDs with different wave bands can be used as the light source by controlling the components and the proportion of the fluorescent powder, so that the light emitting wavelength of the infrared light LED is between 700-2500 nm. For example: LED + Ca (1-x) ZnOS xNd3 fluorescent powder of InGaAs series; the other steps and parameters were the same as in example 1.
Example 3
In one embodiment, the COB annular LED nir light source 101 of step S100 may further be:
the InGaAs series infrared light LED is used as a near infrared light source, and the infrared light LEDs with different wave bands can be used as the light source by controlling the components and the proportion of the quantum dots, so that the light emitting wavelength of the infrared light LED is between 700 and 2500 nm. For example: InGaAs series LED + PbS quantum dots; the other steps and parameters were the same as in example 1.
Example 4
In one embodiment, the COB annular LED nir light source 101 of step S100 may further be:
InGaN series LEDs are used as near infrared light sources, wherein the near infrared LEDs in different wave bands are used as light sources by controlling the components and the proportion of fluorescent powder, so that the light emitting wavelength of the near infrared LEDs is between 700-2500 nm. InGaN series LED + NaAl5O8 Ce3+ x, Fe3+ y, Er3+ z fluorescent powder; the other steps and parameters were the same as in example 1.
Example 5
In one embodiment, the COB annular LED nir light source 101 of step S100 may further be:
InGaN series LEDs are used as near infrared light sources, wherein near infrared light LEDs in different wave bands are used as light sources by controlling the components and the proportion of quantum dots, and the light emitting wavelength of the near infrared light LEDs is between 700-2500 nm. InGaN series of infrared + PbSe quantum dots; the other steps and parameters were the same as in example 1.
Example 6
Step S300 provides an insulating enclosure 301 that can be insulated using a plated DBR enclosure. The other steps and parameters were the same as in example 1.
Application example
In order to detect the protein content of the flour from different manufacturers and different production places, a group of light sources are needed, and the wavelengths of the light sources are as follows: 1800nm, 1820nm, 1880nm, 1940nm, 2100nm, 2140nm, 2180nm, 2310nm, 2230nm, 2270nm, 2310nm, 2350 nm. The wheat flour absorption spectrum analysis device comprises a characteristic peak 2180nm waveband of protein, the wheat flour is irradiated by a group of light sources, absorption spectra of wheat flour of different manufacturers in different wavebands are collected through a detector, the absorption spectra are transmitted to a mobile phone through Bluetooth, and the mobile phone transmits data of a cloud comparison standard database to calculate the content of the protein in the wheat flour. The calculated average value of the spectral data utilizes a partial least square method, the content of components in a sample measured by a national standard method is used as a chemical index value required by the establishment of a near-infrared analysis model, the near-infrared analysis model of the protein in the flour is established, and the calculated average value of the obtained near-infrared spectral data is transmitted to the near-infrared analysis model, so that the content of the protein in the flour of different manufacturers can be obtained. The specific 1940nm wavelength in the light source group can also be used for measuring the moisture content in the sample by the same method.
The embodiments described above are merely preferred embodiments of the invention, rather than all possible embodiments of the invention. Any obvious modifications to the above would be obvious to those of ordinary skill in the art, but would not bring the invention so modified beyond the spirit and scope of the present invention.
Claims (8)
1. A method for identifying components is characterized by comprising a COB annular near-infrared light source, a near-infrared light detector, an outer cover for isolating interference light, a circuit control system and an intelligent mobile phone;
the method for identifying the components comprises the following steps:
a. irradiating the article with near infrared LEDs of different wavelengths;
b. measuring the near infrared light transmittance and diffuse reflectance spectrum of the article;
c. comparing the measured penetration rate and diffuse reflectance spectrum with known data parameters;
d. and (5) performing grading identification according to the spectrum comparison result.
2. A method for identifying a component as claimed in claim 1, wherein the known data is standard data entered after prior testing of the sample.
3. The method of claim 2, wherein the near infrared light source emits light at a wavelength of about 700nm and about 2500 nm.
4. The method as claimed in claim 2, wherein the near infrared photodetector has a detection spectrum wavelength range of 700 and 2500 nm.
5. The method according to claim 2, wherein the near infrared LED is manufactured by InGaAs series LED or InGaN series LED with phosphor or quantum dot.
6. The method according to claim 5, wherein the near infrared LEDs are selected from the group consisting of InGaAs LEDs, InGaAs LEDs with phosphors, InGaAs LEDs with quantum dots, InGaN LEDs with phosphors, and InGaN LEDs with quantum dots.
7. The method of claim 5, wherein the phosphor or quantum dot is excited by an InGaN series LED or an InGaAs series LED to generate near infrared light.
8. The method of claim 2, wherein said near infrared LED is photolyzed at 3 to 20 nm.
Priority Applications (4)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910882229.5A CN112525854A (en) | 2019-09-18 | 2019-09-18 | Method for identifying components |
| TW109104834A TWI779266B (en) | 2019-09-18 | 2020-02-14 | spectrometer |
| US16/891,580 US20210080386A1 (en) | 2019-09-18 | 2020-06-03 | Light emitting apparatus, light emitting method, spectrometer and spectrum detection method |
| US17/728,262 US20220252508A1 (en) | 2019-09-18 | 2022-04-25 | Light emitting apparatus, light emitting method, spectrometer and spectrum detection method |
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| CN201910882229.5A CN112525854A (en) | 2019-09-18 | 2019-09-18 | Method for identifying components |
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| CN112525854A true CN112525854A (en) | 2021-03-19 |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2023089545A1 (en) * | 2021-11-18 | 2023-05-25 | 大连兆晶生物科技有限公司 | Optical analysis system and optical analyzer thereof |
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| TWI815724B (en) * | 2021-11-18 | 2023-09-11 | 新加坡商兆晶生物科技股份有限公司（新加坡） | Optical analysis system and optical analyzer |
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| TW202113313A (en) | 2021-04-01 |
| TWI779266B (en) | 2022-10-01 |
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