CN103760139B - A kind of method differentiating commercially available orange drink based on three-dimensional fluorescence spectrum and sane mahalanobis distance - Google Patents

A kind of method differentiating commercially available orange drink based on three-dimensional fluorescence spectrum and sane mahalanobis distance Download PDF

Info

Publication number
CN103760139B
CN103760139B CN201310175204.4A CN201310175204A CN103760139B CN 103760139 B CN103760139 B CN 103760139B CN 201310175204 A CN201310175204 A CN 201310175204A CN 103760139 B CN103760139 B CN 103760139B
Authority
CN
China
Prior art keywords
orange
juice
sane
orange juice
dimensional fluorescence
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Expired - Fee Related
Application number
CN201310175204.4A
Other languages
Chinese (zh)
Other versions
CN103760139A (en
Inventor
陈国庆
吴亚敏
朱拓
胡扬俊
朱纯
朱焯炜
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Jiangnan University
Original Assignee
Jiangnan University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Jiangnan University filed Critical Jiangnan University
Priority to CN201310175204.4A priority Critical patent/CN103760139B/en
Publication of CN103760139A publication Critical patent/CN103760139A/en
Application granted granted Critical
Publication of CN103760139B publication Critical patent/CN103760139B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Abstract

The invention discloses a kind of method differentiating commercially available orange drink based on three-dimensional fluorescence spectrum and sane mahalanobis distance, utilize the difference of orange juice composition and food additives fluorescent characteristic, first the three-dimensional fluorescence standard spectrum storehouse of fresh squeezing orange juice, qualified 100% orange juice, orange beverage is set up, spectral centroid is extracted by gravity model appoach, form the standard feature database of 100% orange juice, then measure the three-dimensional fluorescence spectrum of sample to be identified and extract gravity center characteristics data, differentiate sample to be identified by calculating its sane mahalanobis distance, discrimination threshold is 2.72.The method compensate for traditional chemical detection method process loaded down with trivial details, detect consuming time, the more high deficiency of testing cost; the rapid screening to sample to be identified and discriminating can be realized; there is the advantages such as quick, safe, reliable, simple to operate, cost is lower; be conducive to the rights and interests of specification juice drinks industry and Protection of consumer, promote the food safety Regulation of juice drinks.

Description

A kind of method differentiating commercially available orange drink based on three-dimensional fluorescence spectrum and sane mahalanobis distance
Technical field
The invention provides a kind of method differentiating commercially available orange drink based on three-dimensional fluorescence spectrum and sane mahalanobis distance, belong to juice drinks detection and identification field.
Background technology
Orange drink is the juice drinks that a kind of consumer of enjoying likes, commercially available orange drink is broadly divided into 100% orange juice and the large class of orange beverage two according to juice content, performs national standard GB/T 21731.At present, due to the imperfection of relevant criterion and detection method, fruit juice and fruit drink are mixed pseudo problem and are happened occasionally, some commercially available 100% orange juice is made " orange beverage " by food additives such as adding antiseptic, thickening agent, artificial essence after concentrated orange juice thin up in fact, or even with " three smart water " that citric acid, sweetener, orange taste essence, thickening agent, synthetic dyestuff etc. are allocated, the interests of consumer and health are caused damage.Because commercially available orange drink quality is uneven, consumer is difficult to judge to be differentiated by simple sense organ, and orange juice composition itself belongs to the potpourri material of more complicated, is difficult to chemically directly measure it.At present, for detection and the discriminating of orange drink, usual execution national standard GB/T 16771, this standard is using potassium, total phosphorus, amino-acid nitrogen, L-PROLINE, total D-isocitric acid and general flavone 6 kinds of compositions characteristic component index as orange juice, but there is complex operation, detect consuming time, the shortcoming such as testing cost is high, result poor reproducibility in the method, therefore, be extremely necessary to find a kind of quick, convenient, stable, reliable orange drink authentication technique.
Summary of the invention
Object of the present invention, is to provide a kind of method differentiating commercially available orange drink based on three-dimensional fluorescence spectrum and sane mahalanobis distance.
According to technical scheme of the present invention, the present invention is realized by following steps:
A. fluorescence spectrophotometer is utilized to carry out three-dimensional fluorescence spectrum measurement to fresh squeezing orange juice, qualified commercially available 100% orange juice, orange beverage;
B. fresh squeezing orange juice, qualified commercially available 100% orange juice, orange beverage 3 class sample three-dimensional fluorescence standard spectrum storehouse is separately set up;
C. analyze the difference of the fluorescent characteristic of fresh squeezing orange juice, 100% orange juice and orange beverage 3 class, determine the fluorescent characteristics peak of orange juice composition in orange drink;
D. adopt three-dimensional fluorescence spectrum gravity model appoach to extract the spectral centroid of commercially available 100% juice samples as characteristic index, set up the property data base of qualified 100% juice samples;
E. fluorescence spectrophotometer is utilized to carry out three-dimensional fluorescence spectrum measurement to sample to be identified;
F. to sample extraction three-dimensional fluorescence spectrum center of gravity to be identified as sample characteristic data, the center of gravity data of this sample and qualified 100% orange juice property data base are merged into a matrix, calculate its sane mahalanobis distance, if sane mahalanobis distance exceedes threshold value MD=2.72, sample to be identified is judged to be non-100% orange juice, Output rusults 0, on the contrary Output rusults 1, be judged to be qualified 100% orange juice, export identification result simultaneously;
G. if desired, further spectral analysis is carried out to non-100% juice samples that Output rusults is 0, determine the drink type that non-100% juice samples is concrete.
In described step c, fluorescence spectrum analysing method is adopted to differentiate orange drink, in orange drink, the fluorescent characteristics peak of orange juice composition is 470/526nm, the fluorescence intensity of this fluorescence peak disclose orange juice content in orange drink number, other fluorescence peak occurred in three-dimensional fluorescence spectrum is all caused by food additives.
In described steps d, center of gravity parameter (x 0, y 0) extract obtain according to center of gravity formulae discovery
In formula, x is excitation wavelength, and y is emission wavelength, for Excitation-emission matrix data.
In described step f, general mahalanobis distance is expressed as:
, =1,2,3…..N
=[ ]
Wherein, be respectively with the two-dimensional matrix (p=2) of the spectral centroid parameter composition of individual sample, for the inverse matrix of covariance matrix, and sane mahalanobis distance catches the sane covariance structure of body data by the method that sane minimization covariance determinant (MCD) is estimated, its definition is:
Wherein, , be respectively again weighted mean and sane covariance matrix.Square general obedience of mahalanobis distance is asymmetrical distribution, therefore its critical value MD= = =2.72, namely equal that degree of freedom is 2, fractile is 97.5% the square root of distribution.
In described step g, by identification result be 0 non-100% juice samples and fresh squeezing orange juice, qualified 100% orange juice, orange beverage three-dimensional fluorescence spectrum contrast, contrast content comprises whether there is 470/526nm fluorescent characteristics peak, the fluorescence intensity at this fluorescent characteristics peak, whether there is the fluorescence peak of varieties of food items adjuvant, thus determine the drink type that non-100% juice samples is concrete.
Accompanying drawing explanation
Below in conjunction with accompanying drawing, the invention will be further described.
Fig. 1 orange drink identification flow figure.
Fig. 2, Fig. 3, Fig. 4 are respectively the three-dimensional fluorescence spectrum figure of fresh squeezing orange juice, certain brand 100% orange juice commercially available, certain brand orange beverage, and in figure, (a) is isogonism three-dimensional projection, and (b) is contour map.
Fig. 5 is the gravity centre distribution of commercially available 100% orange juice standard three-dimensional fluorescence spectrum and sample three-dimensional fluorescence spectrum figure to be identified, and the sane tolerance of adding 97.5% degree of confidence is oval, and the spectral centroid of qualified 100% orange juice is in elliptic region.
Fig. 6 is the discriminating figure by calculating the sample to be identified that sane mahalanobis distance obtains.
Embodiment
Below in conjunction with accompanying drawing and the invention will be further described according to the sequence of operation of process flow diagram:
A. sample is fresh squeezing orange juice, commercially available 100% orange juice, orange beverage 3 class, after centrifugal treating, fluorescence spectrophotometer is utilized to carry out three-dimensional fluorescence spectrum measurement to all samples, excitation wavelength range is set to 300nm-600nm, and step-length is set to 5nm, and emission wavelength ranges is set to 300nm-700nm, step-length is set to 1nm, for eliminating the impact of Rayleigh scattering, emission wavelength scanning position postpones 15nm relative to excitation wavelength, and all samples is all measured under identical optimum configurations and experiment condition.Fig. 2, Fig. 3, Fig. 4 are respectively the three-dimensional fluorescence spectrum figure of fresh squeezing orange juice, commercially available 100% orange juice, orange beverage, and horizontal ordinate represents emission wavelength, and scope is 300nm-600nm, is spaced apart 1nm; Ordinate represents excitation wavelength, and scope is 300nm-700nm, is spaced apart 5nm;
B. utilize the matching of Origin or MATLAB software simulating three-dimension curved surface, obtain the three-dimensional fluorescence spectrum of fresh squeezing orange juice, 100% orange juice, orange beverage, set up 3 class samples three-dimensional fluorescence standard spectrum storehouse separately;
C. analyze the fluorescent characteristic difference of 3 class samples, determine the fluorescent characteristics peak of orange juice composition in orange drink;
D. utilize MATLAB software, write spectral centroid extraction procedure, obtain qualified commercially available 100% juice samples spectrogram gravity centre distribution separately, set up its spectrum characteristic data storehouse, as shown in Figure 5;
E., under identical measuring condition, fluorescence spectrophotometer is utilized to measure the three-dimensional fluorescence spectrum of sample to be identified;
F. MATLAB center of gravity extraction procedure is utilized to extract the characteristic of spectral centroid as this sample of sample to be identified, the center of gravity data of this sample and qualified 100% orange juice property data base are merged into a matrix, calculate its sane mahalanobis distance, and export discriminating figure, as shown in Figure 6, if the sane mahalanobis distance of sample to be identified is greater than critical value MD=2.72, sample to be identified is judged to be non-100% orange juice, Output rusults 0, otherwise Output rusults 1, be judged to be qualified 100% orange juice, export identification result simultaneously;
G. if desired, by further spectral analysis, be the three-dimensional fluorescence spectrum of the sample to be identified of 0 and fresh squeezing orange juice by Output rusults, the three-dimensional fluorescence spectrum of qualified 100% orange juice, orange beverage contrasts, determine the drink type that non-100% juice samples is concrete.
In described step c, by relatively can finding of the three-dimensional fluorescence spectrum to fresh squeezing orange juice, commercially available 100% orange juice, orange beverage 3 class sample, in orange drink, the fluorescence spectrum peak of orange juice composition is 470/526nm, the fluorescence intensity of this fluorescence peak discloses the number of orange juice content in sample, if not this fluorescence peak appearance in drink to be measured, then think that sample to be identified is interior only containing minute quantity orange juice or not containing orange juice.Simultaneously; the three-dimensional fluorescence spectrum of commercially available 100% orange juice and orange beverage is except the fluorescent characteristics peak containing orange juice composition; usually the fluorescent characteristics peak also containing 1 to 2 food additives; as shown in Figure 3; except the fluorescent characteristics peak (470/526nm) containing orange juice composition, also there is the fluorescent characteristics peak (420/677nm) of thickening agent carragheen in the three-dimensional fluorescence spectrum of commercially available 100% orange juice.
In described steps d, center of gravity parameter (x 0, y 0) extract obtain according to center of gravity formulae discovery
In formula for excitation wavelength, for emission wavelength, for Excitation-emission matrix data.
In described step f, general mahalanobis distance is expressed as:
, =1,2,3…..N
=[ ]
Wherein, be respectively with the two-dimensional matrix (p=2) of the spectral centroid parameter composition of individual sample, for the inverse matrix of covariance matrix, and sane mahalanobis distance catches the sane covariance structure of body data by the method that sane minimization covariance determinant (MCD) is estimated, its definition is:
Wherein, , be respectively again weighted mean and sane covariance matrix.Square general obedience of mahalanobis distance is asymmetrical distribution, therefore its critical value MD= = =2.72, namely equal that degree of freedom is 2, fractile is 97.5% the square root of distribution.
In described step g, by identification result be 0 non-100% juice samples and fresh squeezing orange juice, qualified 100% orange juice, orange beverage three-dimensional fluorescence spectrum contrast, contrast content comprises whether there is 470/526nm fluorescent characteristics peak, the fluorescence intensity at 470/526nm fluorescent characteristics peak, whether there is the fluorescence peak of varieties of food items adjuvant, thus determine the drink type that non-100% juice samples is concrete.
Example is implemented:
(1) three-dimensional fluorescence standard spectrum storehouse and property data base is set up.Choose fresh squeezing orange juice, commercially available qualified 100% orange juice, orange beverage as standard model, FLS920 type fluorescence spectrophotometer is utilized to measure three-dimensional fluorescence spectrum, set up 3 class samples three-dimensional fluorescence standard spectrum storehouse separately, its collection of illustrative plates form respectively as shown in Figure 2, Figure 3, Figure 4.Meanwhile, adopt three-dimensional fluorescence spectrum gravity model appoach to extract the three-dimensional fluorescence spectrum center of gravity of commercially available qualified 100% juice samples, set up the property data base of 100% orange juice;
(2) three-dimensional fluorescence spectrum of sample to be identified is measured and feature extraction.Choose 6 samples to be identified (sample number into spectrum 1-6) that supermarket is bought, utilize FLS920 type fluorescence spectrophotometer to measure the three-dimensional fluorescence spectrum of each sample to be identified, meanwhile, adopt three-dimensional fluorescence spectrum gravity model appoach to extract three-dimensional fluorescence spectrum center of gravity as characteristic index;
(3) the sane mahalanobis distance calculating sample to be identified is differentiated it.The spectral centroid data of the spectral centroid data of 6 samples to be identified and 100% orange juice property data base are merged into a matrix, calculates the sane mahalanobis distance of sample to be identified, and export discriminating figure, as shown in Figure 6, export identification result simultaneously;
(4) if desired, by further spectral analysis, determine that identification result is the concrete drink type of non-100% juice samples of 0.As in this example, all there is difference relative to qualified 100% orange juice in 6 samples, is therefore non-100% orange juice.Can be found by spectrum comparison, the three-dimensional fluorescence spectrum of No. 1 sample and the three-dimensional fluorescence spectrum of qualified 100% orange juice basically identical, the fluorescence peak of other food additives is not had to occur, but the fluorescence intensity of 470/526nm orange juice ingredient fluorescence characteristic peak is starkly lower than qualified 100% orange juice, this sample drink type is orange juice, but orange juice content is on the low side; All there is the fluorescent characteristics peak of food additives in 2-5 sample, and the fluorescence intensity of 470/526nm orange juice ingredient fluorescence characteristic peak approximately only has 1/5 of qualified 100% orange juice, and therefore its drink type is orange beverage; The spectral centroid of No. 6 samples far deviates from qualified 100% orange juice, found by comparison 470/526nm orange juice ingredient fluorescence characteristic peak, this sample is without obvious 470/526nm fluorescence peak, and namely this sample does not contain or contains minute quantity orange juice composition, and therefore its drink type is orange taste soda.
In sum, the present invention first measures and establishes the three-dimensional fluorescence standard spectrum storehouse of fresh squeezing orange juice, qualified 100% orange juice, orange beverage, the standard feature database of 100% orange juice is formed by three-dimensional fluorescence spectrum gravity model appoach extraction spectral centroid, then measure the three-dimensional fluorescence spectrum of sample to be identified and extract gravity center characteristics data, sane mahalanobis distance is utilized to differentiate sample to be identified, to being judged to be that the sample of non-100% orange juice carries out further spectral analysis, its concrete drink type can be determined simultaneously.Therefore; relative to existing juice drinks discrimination method; the discriminating to sample to be identified and screening can be realized; there is the advantages such as quick, reliable, simple to operate, cost is lower; compensate for traditional chemical detection method process loaded down with trivial details, detect consuming time, the more high deficiency of testing cost; for specification juice drinks industry and Protection of consumer rights and interests provide technical guarantee, promote the food safety Regulation of juice drink.

Claims (5)

1. differentiate a method for commercially available orange drink based on three-dimensional fluorescence spectrum and sane mahalanobis distance, described discrimination method step is as follows:
A. fluorescence spectrophotometer is utilized to carry out three-dimensional fluorescence spectrum measurement to fresh squeezing orange juice, qualified commercially available 100% orange juice, orange beverage;
B. fresh squeezing orange juice, qualified commercially available 100% orange juice, orange beverage 3 class sample three-dimensional fluorescence standard spectrum storehouse is separately set up;
C. analyze the difference of the fluorescent characteristic of fresh squeezing orange juice, 100% orange juice and orange beverage 3 class, determine the fluorescent characteristics peak of orange juice composition in orange drink;
D. adopt three-dimensional fluorescence spectrum gravity model appoach to extract the spectral centroid of commercially available 100% juice samples as characteristic index, set up the property data base of qualified 100% juice samples;
E. fluorescence spectrophotometer is utilized to carry out three-dimensional fluorescence spectrum measurement to sample to be identified;
F. to sample extraction three-dimensional fluorescence spectrum center of gravity to be identified as sample characteristic data, the center of gravity data of this sample and qualified 100% orange juice property data base are merged into a matrix, calculate its sane mahalanobis distance, if sane mahalanobis distance exceedes threshold value MD=2.72, sample to be identified is judged to be non-100% orange juice, Output rusults 0, on the contrary Output rusults 1, be judged to be qualified 100% orange juice, export identification result simultaneously;
G. further spectral analysis is carried out to non-100% juice samples that Output rusults is 0, determine the drink type that non-100% juice samples is concrete.
2. a kind of method differentiating commercially available orange drink based on three-dimensional fluorescence spectrum and sane mahalanobis distance according to claim 1, it is characterized in that: in described step c, fluorescence spectrum analysing method is adopted to differentiate orange drink, in orange drink, the fluorescent characteristics peak of orange juice composition is 470/526nm, the fluorescence intensity of this fluorescence peak disclose orange juice content in orange drink number, other fluorescence peak occurred in three-dimensional fluorescence spectrum is all caused by food additives.
3. a kind of method differentiating commercially available orange drink based on three-dimensional fluorescence spectrum and sane mahalanobis distance according to claim 1, is characterized in that: in described steps d, center of gravity parameter (x 0, y 0) extract obtain according to center of gravity formulae discovery
In formula, x is excitation wavelength, and y is emission wavelength, and f (x, y) is Excitation-emission matrix data.
4. a kind of method differentiating commercially available orange drink based on three-dimensional fluorescence spectrum and sane mahalanobis distance according to claim 1, it is characterized in that: in described step f, general mahalanobis distance is expressed as:
MD(x i,x j)=[(x i-x j)S -1(x i-x j) T] 1/2,i,j=1,2,3…..N
x i,x j=[y 0x 0]
Wherein, x i, x jbe respectively the i-th two-dimensional matrix (p=2) formed with the spectral centroid parameter of a jth sample, S -1for the inverse matrix of x covariance matrix, and sane mahalanobis distance catches the sane covariance structure of body data by the method that sane minimization covariance determinant (MCD) is estimated, its definition is:
Wherein, μ mCD, S mCDbe respectively again weighted mean and sane covariance matrix, square asymmetrical χ of general obedience of mahalanobis distance 2distribution, its critical value namely equal that degree of freedom is 2, fractile is the χ of 97.5% 2the square root of distribution.
5. a kind of method differentiating commercially available orange drink based on three-dimensional fluorescence spectrum and sane mahalanobis distance according to claim 1, it is characterized in that: in described step g, by the three-dimensional fluorescence spectrum of sample to be identified and fresh squeezing orange juice, commercially available 100% orange juice, orange beverage three-dimensional fluorescence standard spectrum storehouse are compared, relatively content comprises whether there is 470/526nm fluorescent characteristics peak, the fluorescence intensity at this fluorescent characteristics peak, whether there is the fluorescence peak of varieties of food items adjuvant, thus determine the drink type that non-100% juice samples is concrete.
CN201310175204.4A 2013-05-14 2013-05-14 A kind of method differentiating commercially available orange drink based on three-dimensional fluorescence spectrum and sane mahalanobis distance Expired - Fee Related CN103760139B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201310175204.4A CN103760139B (en) 2013-05-14 2013-05-14 A kind of method differentiating commercially available orange drink based on three-dimensional fluorescence spectrum and sane mahalanobis distance

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201310175204.4A CN103760139B (en) 2013-05-14 2013-05-14 A kind of method differentiating commercially available orange drink based on three-dimensional fluorescence spectrum and sane mahalanobis distance

Publications (2)

Publication Number Publication Date
CN103760139A CN103760139A (en) 2014-04-30
CN103760139B true CN103760139B (en) 2015-11-04

Family

ID=50527414

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201310175204.4A Expired - Fee Related CN103760139B (en) 2013-05-14 2013-05-14 A kind of method differentiating commercially available orange drink based on three-dimensional fluorescence spectrum and sane mahalanobis distance

Country Status (1)

Country Link
CN (1) CN103760139B (en)

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104749150A (en) * 2015-04-01 2015-07-01 宁波工程学院 Edible oil quality fast identification method and identification device based on three-dimensional fluorescence spectrum
CN105184004B (en) * 2015-09-18 2018-01-23 南京富岛信息工程有限公司 A kind of method for judging the renewal of octane number model maintenance
CN110554013B (en) * 2019-08-29 2022-05-20 华夏安健物联科技(青岛)有限公司 Method for realizing rapid identification and comparison by using fluorescence spectrum characteristic information
CN113960007B (en) * 2021-10-29 2024-03-05 杭州食疗晶元生物科技有限公司 Method for identifying organic food based on food structure energy and processing energy storage

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2002033384A1 (en) * 2000-10-19 2002-04-25 General Electric Company Method for high-throughput fluorescent screening of polymerization reactions
CN101158657A (en) * 2007-11-12 2008-04-09 浙江大学 Tea-leaf producing area identification method based on x-ray fluorescence technology
CN101299026A (en) * 2008-05-29 2008-11-05 江南大学 System and method for identifying distilled spirit by three-dimensional fluorescence spectrum
CN101825572A (en) * 2010-06-11 2010-09-08 重庆大学 Method for differentiating Chinese spirits with different flavor types with fluorescein
CN102183500A (en) * 2011-02-28 2011-09-14 江南大学 White spirit identification method based on fluorescence characteristic parameter Euclidean distance
CN102297845A (en) * 2011-05-25 2011-12-28 杨季冬 Method for rapidly detecting salt content in Fuling mustard tuber with near infrared spectroscopy

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7906280B2 (en) * 2005-05-13 2011-03-15 Bruno John G Methods of producing intrachain fluorophore-quencher FRET-aptamers and assays

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2002033384A1 (en) * 2000-10-19 2002-04-25 General Electric Company Method for high-throughput fluorescent screening of polymerization reactions
CN101158657A (en) * 2007-11-12 2008-04-09 浙江大学 Tea-leaf producing area identification method based on x-ray fluorescence technology
CN101299026A (en) * 2008-05-29 2008-11-05 江南大学 System and method for identifying distilled spirit by three-dimensional fluorescence spectrum
CN101825572A (en) * 2010-06-11 2010-09-08 重庆大学 Method for differentiating Chinese spirits with different flavor types with fluorescein
CN102183500A (en) * 2011-02-28 2011-09-14 江南大学 White spirit identification method based on fluorescence characteristic parameter Euclidean distance
CN102297845A (en) * 2011-05-25 2011-12-28 杨季冬 Method for rapidly detecting salt content in Fuling mustard tuber with near infrared spectroscopy

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
基于X 射线荧光技术的茶叶产地鉴别方法研究;饶秀勤等;《光谱学与光谱分析》;20090331;第29卷(第3期);第837-839页 *

Also Published As

Publication number Publication date
CN103760139A (en) 2014-04-30

Similar Documents

Publication Publication Date Title
CN102183500B (en) White spirit identification method based on fluorescence characteristic parameter Euclidean distance
CN103760139B (en) A kind of method differentiating commercially available orange drink based on three-dimensional fluorescence spectrum and sane mahalanobis distance
CN104949925B (en) Pearl stage division
CN102435713B (en) Automatic detection system for quality of traditional Chinese medicine
CN102023137B (en) Method for identifying white spirits
CN103822897A (en) White spirit appraising and source-tracing method based on infrared spectroscopy
CN104007115B (en) Method and system for detecting jewelry structure by using terahertz time domain spectroscopic technique
CN104316491B (en) Method for detecting urea doped in milk based on synchronous-asynchronous two-dimensional near-infrared correlation spectrum
CN101975788B (en) Method for identifying quality of edible oil with low-field NMR (Nuclear Magnetic Resonance)
CN104502320A (en) Method for identifying strong flavor Baijiu by combining three-dimensional fluorescence spectrum with PCA-SVM
CN104020129A (en) Method for discriminating fermentation quality of congou black tea based on near-infrared-spectroscopy-combined amino acid analysis technology
CN102288613A (en) Surface defect detecting method for fusing grey and depth information
CN104132896A (en) Method for rapidly identifying adulterated meat
CN103091281A (en) Tea fermentation degree identification method based on intermediate infrared spectrum characteristic base
CN103645238A (en) Method for distinguishing production places of cordyceps sinensises based on stable isotope ratio
CN101957316A (en) Method for authenticating Xiangshui rice by near-infrared spectroscopy
CN103076317A (en) Liquor vintage identification method
CN104569310A (en) Distinguishing method of dark green tea producing areas based on chemical components
CN105067786B (en) A kind of discrimination method of non-regenerative fruit juice
CN112033911A (en) Method for rapidly identifying grade of tea based on chromatic aberration and ultraviolet spectrum
CN202049112U (en) Pearl quality detecting device
CN103048313A (en) Method for identifying tea picking time by use of inductively coupled plasma spectroscopy (ICP)
CN103487384B (en) Based on the packed paddy composition method for quick of near infrared spectrum
CN104569324A (en) Method for identifying white cubilose by combining with characteristic indexes
CN203502357U (en) Device for rapidly testing authenticity of red wine

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant
CF01 Termination of patent right due to non-payment of annual fee
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20151104

Termination date: 20160514