CN201555802U - Black fungus protein content rapid-detection device based on characteristic bands - Google Patents
Black fungus protein content rapid-detection device based on characteristic bands Download PDFInfo
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- CN201555802U CN201555802U CN200920200570XU CN200920200570U CN201555802U CN 201555802 U CN201555802 U CN 201555802U CN 200920200570X U CN200920200570X U CN 200920200570XU CN 200920200570 U CN200920200570 U CN 200920200570U CN 201555802 U CN201555802 U CN 201555802U
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Abstract
The utility model discloses a black fungus protein content rapid-detection device based on characteristic bands, which comprises a spectral collecting device, an embedded system and a power supply system, wherein, the spectral collecting device is connected with the embedded system through a USB data cable; the power supply system provides power for the embedded system; the spectral collecting device comprises a sample cell, a quartz glass slide covering the sample cell, a photosensitive sensor fixing layer above the quartz glass slide, a photosensitive sensor combined device fixed by the photosensitive sensor fixing layer, and a light source system; eight passages uniformly distributed along the same circumference are arranged on the photosensitive sensor fixing layer; the center line of each passage forms an angle of 45 degrees with the vertical direction; the center lines of the eight passages are crossed in the irradiation center of the light source system in the quartz glass slide; and the photosensitive sensor combined device is formed by combining eight groups of optical filters and a photosensitive sensor. The device of the utility model has the advantages of fast and accurate detection, great shortening of the detection time, reduction of the environment pollution, and lowered detection cost.
Description
Technical field
The utility model relates to a kind of pick-up unit of content of proteins in black fungi, is specially a kind of content of proteins in black fungi device for fast detecting based on the characteristic wave bands model.
Background technology
Black fungus is nutritious, contains nutritions such as more carbohydrates, protein, fat, cellulose, is extensively eaten as a kind of food with health care.The quality of black fungus has very big difference because of being subjected to the influence of its place of production growing environment (height above sea level, humiture, weather conditions etc.).And protein is as the important indicator of black fungus quality, and its fast detecting is extremely important to the black fungus quality control.Traditional protein measuring method is that the nitrogen method is surveyed in Kjeldahl or burning, and measuring process is time-consuming, effort, consumables cost height, and pilot process is easy to generate chemical contamination.Therefore, be badly in need of a kind of method that can realize quickly and accurately that protein content detects in the black fungus.Near-infrared spectrum technique is as a kind of quick, easy, analytical technology accurately, existingly in agricultural product and food quality are analyzed uses widely.
Summary of the invention
The utility model provides a kind of content of proteins in black fungi device for fast detecting based on the characteristic wave bands model, can gather the reflectivity of some specific wavelength of black fungus fast, and the linear computing formula by default quick and precisely detects protein content in the black fungus.
A kind of content of proteins in black fungi device for fast detecting based on characteristic wave bands comprises spectra collection device, embedded system and power-supply system, and the light source harvester links to each other with embedded system by the usb data line, and embedded system is powered by power-supply system; The spectra collection device by sample cell, cover the quartzy slide on the sample cell, above the quartzy slide the light sensor fixed bed, attach together to put by the fixing photosensitive sensor groups of light sensor fixed bed and form with light-source system; The light sensor fixed bed is provided with 8 along the equally distributed passage of same circumference, and the center line of each passage is all at 45 with vertical direction, is intersected in the irradiation center of light-source system at quartzy slide; Photosensitive sensor groups attaches together to put by 8 groups of optical filters and light sensor combination and forms, and one group of optical filter and light sensor are set in each passage; Wherein the centre wavelength of 7 optical filters is respectively 1318nm, 1100nm, 1396nm, 2214nm, 1834nm, 1520nm and 2498nm.
The wavelength coverage of described light-source system covers 1000-2500nm.
The linear equation that the default content of proteins in black fungi of described embedded system calculates, and have data storage, calculating and Presentation Function.
Described linear equation is Y=89.960X
1-248.482X
2+ 269.366X
3-68.022X
4+ 200.063X
5-309.675X
6+ 87.126X
7+ 2.028, Y is a protein content in the black fungus in the formula, X
1～X
7Be respectively the absorbance of wavelength 1318nm, 1100nm, 1396nm, 2214nm, 1834nm, 1520nm, the pairing black fungus of 2498nm.
After the black fungus sample was put into sample cell, the light that light-source system sends after black fungus reflection, saw through quartzy slide and is attached together by photosensitive sensor groups and put reception.Black fungus (wherein has a conduct with reference to wavelength at specific wavelength, all the other 7 participation calculating) reflectivity data of locating imports embedded system into by the usb data line, by log (1/R) reflectivity is converted into absorbance (wherein R is a reflectivity), passes through pre-set linear equation Y (%)=89.960X then
1-248.482X
2+ 269.366X
3-68.022X
4+ 200.063X
5-309.675X
6+ 87.126X
7+ 2.028 calculate the protein content of black fungus, and carry out result's storage and demonstration, and Y is a protein content in the black fungus in the formula, and unit is %.
The beneficial effect that the utlity model has is:
(1) realized the fast detecting of protein content in the black fungus, and testing process is easy, quick, cost is low, pollution-free;
(2) the application characteristic wave band carries out the detection of protein content in the black fungus in conjunction with linear computing formula, and pick-up unit is simple in structure, and detection method is quick, and the result accurately and reliably;
(3) can select the optical filter of other centre wavelengths according to actual conditions,, be used for the fast detecting of other index of quality of black fungus by revising linear computing formula.
The utility model is mainly used in by characteristic wavelength and quick and precisely detects content of proteins in black fungi, detects quick and precisely, has shortened the time of detecting greatly, has reduced environmental pollution, has reduced the detection cost.
Description of drawings
Fig. 1 is a content of proteins in black fungi rapid detection system structural representation.
Embodiment
As shown in Figure 1, a kind of content of proteins in black fungi device for fast detecting based on characteristic wave bands, comprise spectra collection device 6, embedded system 7 and power-supply system 8, light source harvester 6 links to each other with embedded system 7 by the usb data line, and embedded system 7 is by power-supply system 8 power supplies.
Spectra collection device 6 by sample cell 1, cover the quartzy slide 2 on the sample cell 1, above the quartzy slide 2 light sensor fixed bed 3, by the fixing photosensitive sensor groups of light sensor fixed bed 3 attach together put 4 and light-source system 5 form; Light sensor fixed bed 3 is provided with 8 along the equally distributed passage of same circumference, and the center line of each passage is all at 45 with vertical direction, is intersected in the irradiation center of light-source system 5 at quartzy slide 2; Photosensitive sensor groups attaches together puts 4 and is formed by the combination of 8 groups of optical filters and light sensor, and one group of optical filter and light sensor are set in each passage; Wherein the centre wavelength of 7 optical filters is respectively 1318nm, 1100nm, 1396nm, 2214nm, 1834nm, 1520nm and 2498nm.8 groups of optical filters and light sensor wherein one group as the reference wavelength, all the other 7 groups participate in calculating.
The wavelength coverage of light-source system 5 covers 1000-2500nm.The quartzy slide 2 of light-source system 5 vertical irradiations, and the centre point of the circumference formed at 8 passages of the irradiation center of light-source system 5, then light source irradiation just in time overlaps with the joint of 8 channel centerlines at the central point of quartzy slide.
It is the STC12A5C60AD single-chip microcomputer that embedded system 7 adopts model.The linear equation that default content of proteins in black fungi calculates, Y (%)=89.960X
1-248.482X
2+ 269.366X
3-68.022X
4+ 200.063X
5-309.675X
6+ 87.126X
7+ 2.028, Y is a protein content in the black fungus in the formula, and unit is %, X
1～X
7Be respectively wavelength 1318,1100,1396,2214,1834,1520, the absorbance of the pairing black fungus of 2498nm.
Its step of detection method is as follows:
1) sample cell is filled black fungus and pulverized (crossing 60 mesh sieves) sample, and the black fungus sample surfaces is smoothed, quartzy slide is covered on sample;
2) use this system spectrum harvester to gather the reflectance value of 7 default passages of black fungus, and importing embedded system into by the usb data line, to carry out data storage standby;
The black fungus reflectance value of 7 passages that 3) will obtain is converted into absorbance by log (1/R);
4) absorbance of 7 passages is distinguished substitution linear equation Y (%)=89.960X
1-248.482X
2+ 269.366X
3-68.022X
4+ 200.063X
5-309.675X
6+ 87.126X
7+ 2.028, Y is a protein content in the black fungus in the formula, and unit is %, X
1～X
7Be respectively wavelength 1318,1100,1396,2214,1834,1520, the absorbance of the pairing black fungus of 2498nm.Can obtain protein content in the black fungus by calculating.
In embedded system, carry out storage, demonstration and the processing of data result.
Characteristic wavelength the fast detecting that present embodiment is selected at proteins in black fungi, inapplicable to the detection of other indexs, detect other index of quality as need, need again selected characteristic wavelength, set up linear equation.
Claims (3)
1. content of proteins in black fungi device for fast detecting based on characteristic wave bands, comprise spectra collection device (6), embedded system (7) and power-supply system (8), light source harvester (6) links to each other with embedded system (7) by the usb data line, embedded system (7) is by power-supply system (8) power supply, and it is characterized in that: spectra collection device (6) is by sample cell (1), cover the quartzy slide (2) on sample cell (1), the light sensor fixed bed (3) of quartzy slide (2) top, attach together by the fixing photosensitive sensor groups of light sensor fixed bed (3) and to put (4) and light-source system (5) is formed; Light sensor fixed bed (3) is provided with 8 along the equally distributed passage of same circumference, and the center line of each passage is all at 45 with vertical direction, is intersected in the irradiation center of light-source system (5) at quartzy slide (2); Photosensitive sensor groups attaches together puts (4) and is formed by the combination of 8 groups of optical filters and light sensor, and one group of optical filter and light sensor are set in each passage; Wherein the centre wavelength of 7 optical filters is respectively 1318nm, 1100nm, 1396nm, 2214nm, 1834nm, 1520nm and 2498nm.
3. the content of proteins in black fungi device for fast detecting based on characteristic wave bands as claimed in claim 2 is characterized in that: the wavelength coverage of described light-source system (5) covers 1000-2500nm.
4. the content of proteins in black fungi device for fast detecting based on characteristic wave bands as claimed in claim 2, it is characterized in that: the linear equation that the default content of proteins in black fungi of described embedded system (7) calculates, and have data storage, calculating and Presentation Function.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN200920200570XU CN201555802U (en) | 2009-11-19 | 2009-11-19 | Black fungus protein content rapid-detection device based on characteristic bands |
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| CN200920200570XU CN201555802U (en) | 2009-11-19 | 2009-11-19 | Black fungus protein content rapid-detection device based on characteristic bands |
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|---|---|
| CN201555802U true CN201555802U (en) | 2010-08-18 |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107042208A (en) * | 2017-04-17 | 2017-08-15 | 华东交通大学 | The online batch detecting device of salmon meat VBN and detection method based on spectrum analysis |
| CN104568824B (en) * | 2015-01-15 | 2018-03-02 | 浙江大学宁波理工学院 | Shrimps grade of freshness detection method and device based on Vis/NIR |
| CN111811998A (en) * | 2020-09-01 | 2020-10-23 | 中国人民解放军国防科技大学 | Method for determining strongly-absorbable biological particle component under target waveband |
-
2009
- 2009-11-19 CN CN200920200570XU patent/CN201555802U/en not_active Expired - Fee Related
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104568824B (en) * | 2015-01-15 | 2018-03-02 | 浙江大学宁波理工学院 | Shrimps grade of freshness detection method and device based on Vis/NIR |
| CN107042208A (en) * | 2017-04-17 | 2017-08-15 | 华东交通大学 | The online batch detecting device of salmon meat VBN and detection method based on spectrum analysis |
| CN111811998A (en) * | 2020-09-01 | 2020-10-23 | 中国人民解放军国防科技大学 | Method for determining strongly-absorbable biological particle component under target waveband |
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| Date | Code | Title | Description |
|---|---|---|---|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| C17 | Cessation of patent right | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20100818 Termination date: 20121119 |