CN105486650A - Method for measuring main nutritional components of potatoes through spectrometry - Google Patents
Method for measuring main nutritional components of potatoes through spectrometry Download PDFInfo
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- CN105486650A CN105486650A CN201511030475.6A CN201511030475A CN105486650A CN 105486650 A CN105486650 A CN 105486650A CN 201511030475 A CN201511030475 A CN 201511030475A CN 105486650 A CN105486650 A CN 105486650A
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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
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/02—Food
- G01N33/10—Starch-containing substances, e.g. dough
Abstract
The invention discloses a method for measuring the main nutritional components of potatoes through a spectrometry. The method comprises the steps that it is determined that the main nutritional components of the potatoes comprise starch, protein, sugar, fat and cellulose through the spectrometry; it is determined that the measuring spectral range of the main nutritional components of the potatoes is 800-2500 nm; a data model of spectrums and chemical components is established; calculation is performed through a calculating server according to the name of the product to be detected and more than 21 formulas in a nutritional component matching data model, and the content of the selected nutritional components of the detected potatoes can be obtained.
Description
Technical field
The invention belongs to material detection field, particularly relate to the method utilizing spectral detection chemical composition, specifically relate to a kind of method utilizing spectrographic determination potato main nutrient composition.
Background technology
Along with the attention rate of people to food security is more and more higher, consumer is also more and more higher to the requirement of its Internal quality index when selecting fruits and vegetables, potato is as fruits and vegetables modal in food and drink, the height of its nutritional labeling quality is usually used as the Primary Reference index selecting potato, and the current mensuration to potato nutritional composition is often based on destructive chemical analysis or the experimental apparatus analysis using costliness in laboratory, these methods all need potato to damage, and can not carry out Site Test Analysis.
Utilize spectral technique analysis to become the developing direction of crops composition detection, NIR spectra analysis analysis speed is fast, is because spectral measurement speed is very fast, the reason that calculation by computer speed is also very fast.
CN101556242B discloses one method for discriminating microorganism by utilizing Fourier infrared spectrum, comprises and cultivates contrast microorganism; Gather the infared spectrum of contrast microorganism; At 3000-2300cm
-1with 1300 to 700cm
-1one or more spectral coverages in interval are set up microorganism and are differentiated model; Cultivate tested microorganism under the same conditions as above, gather the infared spectrum of tested microorganism, infared spectrum is substituted into the ownership that microorganism differentiates to determine in model tested microorganism.
In current method, because the foundation of model is carried out according to the pattern of collection of illustrative plates, or to carry out according to local data, or match spectrum data are carried out on stoichiometric basis, after these methods all exist modeling, adjustment difficulty is large, basic data is incomplete, causes the correction of data model and the renewal of formula and change difficulty large, how to set up research emphasis and difficult point that spectroscopic data and potato chemical composition data model become this field.
Summary of the invention
In order to overcome the various defects existing for said determination method, the invention provides a kind of method utilizing spectrographic determination potato main nutrient composition, the method comprises the steps:
A. determine that spectrographic determination potato main nutrient composition kind is T, 1≤T≤5, nutritional labeling is respectively: one or more in starch, protein, sugar, fat, cellulose;
B. determine that the spectral range that potato main nutrient composition is measured is: 800-2500nm;
C. the spectroscopic data carrying out being more than or equal to more than 50 potato samples is collected and chemical detection Data Collection;
D. spectroscopic data and chemical detection data are utilized to set up data model, data model embedding data calculation server;
E. carry out spectroscopic data collection for potato to be checked, spectroscopic data is inputted data operation server, select to need to detect potato and nutritional labeling simultaneously, described nutritional labeling is one or more in the nutritional labeling determined in steps A;
F. calculation server is according to K formula in the name of product of required detection and nutritional labeling matched data model, carries out computing, obtain detect potato the nutrient composition content selected, K >=T.
Described step D utilizes spectroscopic data and chemical detection data to set up data model, comprise the spectroscopic data input spectrum database of object, by the input chemline of the chemical detection data of same object, then the spectroscopic data in spectra database and the chemical detection data in chemline are mapped, form the mapping database of this object, comprise the steps:
Step I: the device launch spot launching spectral collection of holding concurrently with light source irradiates potato samples A1 to be detected, and collect the spectrum that potato samples A1 reflects, adopt spectral analysis apparatus to determine wavelength and the absorbance of collected spectrum, form the spectroscopic data of potato samples A1;
Step II: to potato samples A
1carry out chemical analysis, analyze content of starch, form the chemical detection data of potato samples;
Step II I: by potato A
1spectroscopic data and the same database of chemical detection data inputting, form data-mapping X1;
Step IV: repeat above-mentioned steps I, Step II and Step II I, to potato samples A
2to A
n+1carry out n time to detect, form n group spectroscopic data and corresponding n group chemical detection data, by spectroscopic data and the same database of chemical detection data inputting, form the data-mapping set of n group data-mapping;
Step V: the absorption values spectroscopic data in data-mapping set in above-mentioned database being chosen 2-100 wavelength carries out corresponding with chemical detection data, determines that 2-100 wavelength absorbance change and chemical detection data variation have K formula of quantitative and qualitative analysis relation.
Step VI: the K of above-mentioned steps formula is embedded calculation server, gathers potato fresh sample A
xspectroscopic data, while its input database, 2-100 the wavelength typing calculation server that selecting step V determines, calculate the potato fresh sample chemical data not carrying out actual detection, this chemical data is outputted to display end and database simultaneously, and in a database with potato fresh sample A
xspectroscopic data formed measurement data map, this measurement data map with existing data-mapping form the data-mapping set upgraded.
Step VII: K formula on the database formed according to step I to step VI and calculation server, database is connected with calculation server, simultaneously the data input pin in setting data storehouse and data output end, the data input pin arranging calculation server and data output end, form the spectroscopic data model of potato.
The method of data-mapping set is set up specifically in above-mentioned steps IV:
1) in spectroscopic data input spectrum database, data strip is set up according to nanoscale, each nanoscale wavelength is defined as a data strip, by in each nanoscale wavelength data and Wavelength strength data inputting database, form the spectroscopic data bar in spectra database, the nano wave length quantity k correspondence in spectral range forms the spectroscopic data bar k of respective numbers; Such as wavelength coverage is 1000-1500 nanometer, then have 501 spectroscopic data bars, and k is 501, and each spectroscopic data bar comprises wavelength and intensity;
2) in chemical detection data input chemline, chemical detection data are set up data strip by the quantity of detected composition, data strip is set up according to composition, each composition is defined as a data strip, by in each Components Name and component content input database, form the compositional data bar in chemline, the quantity correspondence of composition forms the compositional data bar of respective numbers; Such as, there are 5 kinds of compositions in the chemical detection data of object, then have 5 data strips, be respectively Y1, Y2 ... Y5, each data strip comprises Components Name and component content; Or chemical detection data are carried out permutation and combination, then using all permutation and combination as data strip data database, permutation and combination;
3) by all the components data strip in corresponding for the spectroscopic data bar of in spectral catalogue chemical data table, form mapping (enum) data group, the principle of correspondence is spectroscopic data bar corresponding each compositional data bar respectively, forms single spectrum and mapping (enum) data group corresponding to multicomponent; Such as spectroscopic data bar is X1000, and compositional data bar is Y1, Y2, Y3, Y4, Y5, be then { X1000Y1, X1000Y2, X1000Y3, X1000Y4, X1000Y5} for the single spectrum of 1000 nanometers and mapping (enum) data group corresponding to multicomponent;
According to the above-mentioned method setting up mapping (enum) data group, it is corresponding all spectroscopic data bars in spectral catalogue and all the components data strip in chemical data table to be carried out difference, forms the set of all mapping (enum) data groups, is mapping (enum) data set; Such as spectroscopic data bar is 501, compositional data bar is 5, comprise 501 × 5=2505 bar data in the mapping (enum) data set of the then spectroscopic data that formed of one-time detection and chemical detection data, these 2505 data are the mapping (enum) data set of object this detection.
If carry out n time to the different samples of this object to detect, then form n mapping (enum) data set, n mapping (enum) data set is unified in the independent database of input one, then form this object Mapping database.
Said n is more than or equal to 30, n and is more than or equal to 50, is more preferably, and n is more than or equal to 100.
Preferably, the wavelength coverage of described spectrum is 800-1800nm, or the wavelength coverage of spectrum is 1500-2500.
Preferably, described potato is the substantially identical but similar potato of component content difference value within 20% of trophic component composition, without the need to pre-service or carry out cutting, collecting section process.
Preferably, the wavelength of 1001 wavelength and the data acquisition of intensity of described spectroscopic data to be wavelength be 800-1800nm, or the wavelength of 1001 wavelength and the data acquisition of intensity of spectroscopic data to be wavelength be 1500-2500.
Preferably, the number of described formula is K, and K value meets following relational expression:
T represents the nutritional labeling number of potato, and wherein C represents knockdown implication
Preferably, the T=5 in described formula, the number of described formula is 21.
In method of the present invention, chemical measurement data, also referred to as stoichiometry data, refer to the chemical data carrying out measuring acquisition by the national standard of Cucumber.Such as, content of starch in potato, needs to measure according to national standard or industry standard, the instrument meeting GB measuring accuracy also can be adopted to measure.
In method of the present invention, spectroscopic data is the luminous energy of the different wave length collected by spectral collection device, and be converted into spectroscopic data by light inverted signal device, spectroscopic data General Requirements has spectral intensity, even if certain wavelength light intensity of wave is zero, then also need to record at spectroscopic data.
The beneficial effect of the inventive method is embodied in following three aspects:
1, when the present invention detects, potato samples, without the need to pre-service, reaches the effect of nondestructive measurement;
2, adopt spectral technique analysis to measure, analysis speed is fast, can detect at any time, convenient and swift;
3, the mapping method of spectroscopic data of the present invention and chemical detection data takes into full account the characteristic of single substance characteristics and the combination material detecting data, can the single nutritional labeling of Simultaneously test potato or Multiple components as required;
4, the modeling method between spectroscopic data provided by the invention and chemical composition data conveniently can upgrade basic database, provides large and reliable data, improves and detects degree of accuracy, reduces personal error.
Embodiment
Embodiment 1
Utilize a method for spectrographic determination potato main nutrient composition, the method comprises the steps:
A. determine that spectrographic determination potato main nutrient composition is: starch, protein, sugar, fat, cellulose;
B. determine that the spectral range that potato main nutrient composition is measured is: 800-2500nm;
C. the spectroscopic data carrying out 100 potato samples is collected and chemical detection Data Collection;
D. spectroscopic data and chemical detection data are utilized to set up data model, data model embedding data calculation server;
E. carry out spectroscopic data collection for potato to be checked, spectroscopic data is inputted data operation server, select the potato that needs to detect and nutritional labeling, described nutritional labeling is one or more in the nutritional labeling determined in steps A simultaneously;
F. calculation server is according to 21 formula in the name of product of required detection and nutritional labeling matched data model, carries out computing, obtain detect potato the nutrient composition content selected, K >=T.
Embodiment 2
Utilize a method for spectrographic determination potato main nutrient composition, the method comprises the steps:
A. determine that spectrographic determination potato main nutrient composition is: starch, protein, sugar, fat, cellulose;
B. determine that the spectral range that potato main nutrient composition is measured is: 800-1800nm;
C. the spectroscopic data carrying out 500 potato samples is collected and chemical detection Data Collection;
D. spectroscopic data and chemical detection data are utilized to set up data model, data model embedding data calculation server;
E. carry out spectroscopic data collection for potato to be checked, spectroscopic data is inputted data operation server, select the potato that needs to detect and nutritional labeling, described nutritional labeling is one or more in the nutritional labeling determined in steps A simultaneously;
F. calculation server is according to 21 formula in the name of product of required detection and nutritional labeling matched data model, carries out computing, obtain detect potato the nutrient composition content selected, K >=T.
Embodiment 3
Utilize a method for spectrographic determination potato main nutrient composition, the method comprises the steps:
A. determine that spectrographic determination potato main nutrient composition is: starch, protein, sugar, fat, cellulose;
B. determine that the spectral range that potato main nutrient composition is measured is: 1000-2500nm;
C. the spectroscopic data carrying out 250 potato samples is collected and chemical detection Data Collection;
D. spectroscopic data and chemical detection data are utilized to set up data model, data model embedding data calculation server;
E. carry out spectroscopic data collection for potato to be checked, spectroscopic data is inputted data operation server, select the potato that needs to detect and nutritional labeling, described nutritional labeling is one or more in the nutritional labeling determined in steps A simultaneously;
F. calculation server is according to 21 formula in the name of product of required detection and nutritional labeling matched data model, carries out computing, obtain detect potato the nutrient composition content selected, K >=T.
Claims (8)
1. utilize a method for spectrographic determination potato main nutrient composition, the method comprises the steps:
A. determine that spectrographic determination potato main nutrient composition kind is T, 1≤T≤5, nutritional labeling is respectively: one or more in starch, protein, sugar, fat, cellulose;
B. determine that the spectral range that potato main nutrient composition is measured is: 800-2500nm;
C. the spectroscopic data carrying out being more than or equal to n above potato samples is collected and chemical detection Data Collection, and wherein n is more than or equal to 50;
D. spectroscopic data and chemical detection data are utilized to set up the data model of K formula composition potato detection, data model embedding data calculation server;
E. carry out spectroscopic data collection for potato to be checked, spectroscopic data is inputted data operation server, select the potato samples that needs to detect and nutritional labeling, described nutritional labeling is one or more in the nutritional labeling determined in steps A simultaneously;
F. calculation server is according to K formula in the name of product of required detection and nutritional labeling matched data model, carries out computing, obtain detect potato the nutrient composition content selected, K >=T.
2. method according to claim 1, is characterized in that K value meets following relational expression:
T represents the nutritional labeling number of potato, and wherein C represents knockdown implication.
3. method according to claim 2, is characterized in that, T=5, and the number of described formula is 21.
4. the method according to any one of claim 1-3, is characterized in that, the wavelength coverage of described spectrum is 800-1800nm, or the wavelength coverage of spectrum is 1500-2500nm.
5. method according to claim 1, is characterized in that, described potato is the substantially identical but similar potato of component content difference value within 20% of trophic component composition, and potato samples is without the need to pre-service or carry out cutting, collecting section process.
6. method according to claim 1, is characterized in that n is more than or equal to 100, and preferred n is more than or equal to 200.
7. method according to claim 1, is characterized in that, the method that described step D data model is set up comprises the steps:
Step I: the device launch spot launching spectral collection of holding concurrently with light source irradiates potato samples A to be detected
1, and collect potato samples A
1the spectrum reflected, adopts spectral analysis apparatus to determine wavelength and the absorbance of collected spectrum, forms potato samples A
1spectroscopic data;
Step II: to potato samples A
1carry out chemical analysis, analyze its T kind composition and content, form the chemical detection data of potato samples;
Step II I: by potato A
1spectroscopic data and the same database of chemical detection data inputting, form data-mapping X1;
Step IV: repeat above-mentioned steps I, Step II and Step II I, to potato samples A
2to A
n+1carry out n time to detect, form n group spectroscopic data and corresponding n group chemical detection data, by spectroscopic data and the same database of chemical detection data inputting, form the data-mapping set of n group data-mapping;
Step V: the absorption values spectroscopic data in data-mapping set in above-mentioned database being chosen 2-100 wavelength carries out corresponding with chemical detection data, determines that 2-100 wavelength absorbance change and chemical detection data variation have K formula of quantitative and qualitative analysis relation;
Step VI: the K of above-mentioned steps formula is embedded calculation server, gathers potato fresh sample A
xspectroscopic data, while its input database, 2-100 the wavelength typing calculation server that selecting step V determines, calculate the potato fresh sample chemical data not carrying out actual detection, this chemical data is outputted to display end and database simultaneously, and in a database with potato fresh sample A
xspectroscopic data formed measurement data map, this measurement data map with existing data-mapping form the data-mapping set upgraded.
Step VII: K formula on the database formed according to step I to step VI and calculation server, database is connected with calculation server, simultaneously the data input pin in setting data storehouse and data output end, the data input pin arranging calculation server and data output end, form the spectroscopic data model of potato.
8. method according to claim 7, it is characterized in that, the wavelength of 1001 wavelength and the data acquisition of intensity of described spectroscopic data to be wavelength be 800-1800nm, or the wavelength of 1001 wavelength and the data acquisition of intensity of spectroscopic data to be wavelength be 1500-2500.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN105606549A (en) * | 2016-01-28 | 2016-05-25 | 深圳市芭田生态工程股份有限公司 | Method for establishing data model through spectroscopic data and chemical detection data |
| CN111257272A (en) * | 2020-03-02 | 2020-06-09 | 滕州市界河镇农业综合服务中心 | Portable potato detection device based on thing networking |
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Cited By (2)
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| CN105606549A (en) * | 2016-01-28 | 2016-05-25 | 深圳市芭田生态工程股份有限公司 | Method for establishing data model through spectroscopic data and chemical detection data |
| CN111257272A (en) * | 2020-03-02 | 2020-06-09 | 滕州市界河镇农业综合服务中心 | Portable potato detection device based on thing networking |
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