CN106770617A - It is a kind of that the method that the place of production is traced to the source is carried out to the red sage root using trace element and rare earth element assay combination multi-variate statistical analysis - Google Patents
It is a kind of that the method that the place of production is traced to the source is carried out to the red sage root using trace element and rare earth element assay combination multi-variate statistical analysis Download PDFInfo
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Abstract
The method that the place of production is traced to the source is carried out to the red sage root using trace element and rare earth element assay combination multi-variate statistical analysis the invention discloses a kind of, the method has carried out difference analysis using one-way analysis of variance to all elements of all samples.Work as p<When 0.05, it is believed that the element data of different producing area has notable difference.Principal component analysis is analyzed for Data Dimensionality Reduction, and linear discriminant analysis is used to assess different producing area red rooted salvia whether there is significant difference.The method that the place of production is traced to the source is carried out to the red sage root there is provided a kind of, the method has the advantages that sensitive, quick, the differentiation degree of accuracy is high.
Description
Technical field
Present invention relates particularly to one kind using trace element and rare earth element assay combination multi-variate statistical analysis to pellet
Ginseng carries out the method that the place of production is traced to the source.
Background technology
Genunie medicinal materials are the famous-brand and high-quality certified products medicinal materials produced in the region of specific natural conditions, ecological environment, are tcm clinical practices
For a long time, middle generation and generally acknowledged high-quality Chinese medicine are repeatedly practised.Recently as the raising of Chinese medicine demand, the strange land of genunie medicinal materials
Plantation phenomenon is universal, causes traditional Chinese medicine quality to decline obvious.Trace to the source to safeguarding China Chinese Medicinal Materials Markets order, ensureing in the place of production of Chinese medicine
Quality of medicinal material and the clinical safety rational use of medicines are significant.The medicinal material place of production source tracing method of precise and high efficiency is to realize that Chinese medicine is produced
The guarantee traced to the source.
In recent years, researchers have carried out a large amount of explorations to the place of production source tracing method of Chinese medicine, have developed various methods, such as：
DNA identification technologies, traditional Chinese medicine fingerprint technology, isotope tracer technique etc..Micro- particularly rare earth element is in nature
Middle content is small, stable in properties.In recent years, based on trace element and rare earth element characteristic fingerprint combination Chemical Measurement differentiation point
Analysis technology serves more and more important effect in the food place of production differentiates, but in the place of production of Chinese medicine differentiates research only compared with
Few application.Existing chemometrics application method include LDA methods, PCA, hierarchical clustering method, cluster analysis,
Various methods such as SIMCA, DPLC, SVM, PUK and physical and chemical parameter analysis method, chemical composition detection method include RFID,
The methods such as HPLC, IRMS, ICP-MS, NIR, GCxGC-TOF/MS.Isotope, mineral element, change that variety classes Chinese medicine contains
Study the characteristics index that grades and there is bigger difference.And, consider growing environment, medicinal part, the chemical composition of Chinese medicine
Deng difference, generally require to carry out the place of production using different methods according to the characteristics of variety classes Chinese medicine to trace to the source.Such as, ginseng point
Analysis method is NIR coupling system clustering procedures, and the analysis method of the coptis is NIR combination principal component analysis, and the analysis method of the root of Dahurain angelica is
HPLC-DAD binding patterns recognize that the analysis method of safflower is polynary for UV-Vis, HPLC, GC and isotope analysis technology are combined
Data analysis, the analysis method of rhizome of chuanxiong is GCxGC-TOF/MS combination cluster analyses etc..
The red sage root (Salvia miltiorrhiza Bge.), alias radix salviae miltiorrhizae, blood ginseng, red root etc., are labiate, with
Root is used as medicine.Main product Sichuan, Shandong, Henan, Shanxi, Hebei, Anhui etc. save, and existing whole nation most area is distributed.With dissolving stasis
The effect of analgesic, invigorate blood circulation, relieving restlessness that clears away heart-fire, clinically the treatment for diseases such as cardiovascular and cerebrovascular, cancer, apoplexy, hepatitis and
Antisanility health-care health-care effect.Red sage root medicinal part is root, and it has certain to the trace element and rare earth element in soil
Concentration effect, so, the content difference of trace element and rare earth element is smaller in the different sources red sage root, it is difficult to directly using micro
Element and rare earth element content carry out the place of production and trace to the source to the red sage root.
The content of the invention
For technical problem present in above-mentioned prior art, the invention provides one kind using trace element and rare earth unit
Cellulose content determines and the method that the place of production is traced to the source is carried out to the red sage root with reference to multi-variate statistical analysis.
In order to solve the above technical problems, the technical scheme is that：
One kind carries out the place of production and traces to the source using trace element and rare earth element assay combination multi-variate statistical analysis to the red sage root
Method, comprise the following steps：
1) various concentrations trace element and rare earth element mixed standard solution are analyzed using ICP-MS, prepare standard
Curve；
2) sample is cleared up, the multiple batches of red sage root sample of different sources is analyzed with ICP-MS detection method, obtain it
It is contained trace element and rare earth element content, using one-way analysis of variance method to all samples trace element and rare earth
First prime element carries out difference analysis, works as p<When 0.05, it is believed that the element data of different producing area has notable difference；
3) choosing trace element and rare earth element with notable difference carries out principal component analysis, for Data Dimensionality Reduction point
Analysis；
4) select the element with significant difference using variance analysis carries out linear discriminant analysis as variable, selects wherein
7 kinds of elements are selected as discriminant criterion, discrimination model is set up using stepwise discriminatory method, built based on Wilks'lambda values
Three discriminant functions, discriminant function F1, F2 and F3 characteristic value is respectively 4.394,1.209 and 0.396；
5) drawn using three discriminant function scores and different province red sage root samples are checked, to the red sage root of different producing area
Sample is estimated differentiation；
6) use step 4) in choose 7 kinds of elements as discriminant criterion, discrimination model is carried out using orthogonal proof method
Checking, determines the stability of discriminant equation.
Further, step 1) in, the standard liquid includes dilute with the nitric acid dilution Agilent that mass fraction is 5%
Native mixture of multi-elements standard liquid Part#G8500-6955, prepare Sc, Y, La, Ce, Pr, Nd, Sm, Eu, Gd, Tb, Dy, Ho,
The mixed standard solution of the various concentrations of Er, Tm, Yb, Lu；
With, with nitric acid that mass fraction is 5% dilute the mixed mark Part#5183-4688 of Agilent multielements prepare Na, Mg,
The standard liquid of the various concentrations of K, Ca, V, Cr, Mn, Fe, Co, Ni, Cu, Zn, As, Se, Mo, Cd, Pb, Th, U.
Further, the rare earth element concentration in the mixed standard solution is respectively 0.1 μ g/L, 0.5 μ g/L, 1 μ g/
L, 2 μ g/L, 5 μ g/L and 10 μ g/L；
The concentration of element is respectively 1 μ g/L, 5 μ g/L, 10 μ g/L, 20 μ g/L, 50 μ g/L and 100 μ in the standard liquid
g/L。
Further, during standard curve determination, with 187Re, 115In, 103Rh as internal standard, rectify an instrument possibility
Drift.
Further, step 2) in, the method for Specimen eliminating comprises the following steps：Sample is crushed, is weighed, plus
Enter concentrated nitric acid carry out it is pre- clear up, after the gas that discharge nitric acid and example reaction are produced, sample is put into be heated up in micro-wave oven and is cleared up,
After clearing up end, to adding H in sample2O2, after sample becomes colorless clear solution, ultra-pure water constant volume, you can.
Further, the step of program cleared up is using 100 DEG C -180 DEG C -200 DEG C -210 DEG C of heating up is heated up,
Each temperature-rise period time is 2min, and 10min is kept at a temperature of each.
When different digestion procedures is cleared up to sample, the content detection result of each element has larger difference in sample
It is different, found by repetition test, when using the digestion procedure, the accurate of each element content detection in sample can be significantly improved
Property.
Further, step 4) in, with variance analysis select the element with significant difference including Na, K, Ca, V, Fe,
Ni, Cu, As, Se, Mo, Cd, Pb, Th, U, Sc, Y, La, Eu, are Na, K, Ca, Mo, Cd, Pb, Y as the element of discriminant criterion.
Further, step 4) in, three discriminant functions F1, F2 and F3 are respectively
F1=-0.539Na-0.464K+0.612Ca+1.183Mo+0.426Cd+0.037Pb-0.071 Y；
F2=-0.105Na+0.883K-0.683Ca-0.267Mo+1.182Cd+0.373Pb-1.170 Y；
F3=0.493Na-0.270K+0.320Ca-0.297Mo-0.208Cd+0.953Pb-0.095Y.
Further, the red sage root in the producing region in Shandong, Henan, Shanxi and Anhui is tested and analyzed using the above method,
The Fisher linear discrimination functions in the Shandong, Henan, Shanxi and the Anhui producing region that obtain are as follows：
Group(Shandong)=0.272Na+0.0003K+0.655Ca+1.124Mo+12.987Cd+1.466Pb-0.002Y-
12.978；
Group(Henan)=-0.300Na-0.018K+0.745Ca+7.564Mo+41.866Cd+2.051Pb-0.01Y-
31.996；
Group(Shanxi)=-0.313Na-0.123K+1.4265Ca+11.915Mo+19.479Cd+1.832Pb+
0.00010Y-40.483；
Group(Anhui)=-0.264Na-0.063K+1.026Ca+8.294Mo+16.362Cd+0.123Pb+0.001Y-
21.205。
The above method is carrying out the application during the place of production is traced to the source to the red sage root.
Beneficial effects of the present invention are：
Red rooted salvia of the invention has carried out the place of production and has traced to the source, and determines wherein 19 kinds trace elements using ICP-MS and 16 kinds dilute
The content of earth elements, and multi-variate statistical analysis is combined for the differentiation research of different producing area red rooted salvia, the method is sensitive, fast
Speed, discriminant accuracy are high, and tracing to the source to study to the place of production for Chinese medicine provides method and technical support.
Brief description of the drawings
The Figure of description for constituting the part of the application is used for providing further understanding of the present application, and the application's shows
Meaning property embodiment and its illustrated for explaining the application, does not constitute the improper restriction to the application.
Fig. 1 is the 3-D scatter diagrams that PC1-PC2-PC3 sets up；
Fig. 2 is based on two red sage root sample scatter diagrams of discriminant function.
Specific embodiment
It is noted that described further below is all exemplary, it is intended to provide further instruction to the application.Unless another
Indicate, all technologies used herein and scientific terminology are with usual with the application person of an ordinary skill in the technical field
The identical meanings of understanding.
It should be noted that term used herein above is merely to describe specific embodiment, and be not intended to restricted root
According to the illustrative embodiments of the application.As used herein, unless the context clearly indicates otherwise, otherwise singulative
Be also intended to include plural form, additionally, it should be understood that, when in this manual use term "comprising" and/or " bag
Include " when, it indicates existing characteristics, step, operation, device, component and/or combinations thereof.
Experimental section
Reagent and material
Dense HNO3(top pure grade, Germany, Merck companies), H2O2(top pure grade, Germany, Merck companies)；Liquid argon (purity
99.999%)；Mixed mark Part#5183-4688 solution and the internal standard Part#5183-4680 solution of Agilent multielements：1.0mg/L
Fe, K, Ca, Na, Mg；The Ag of 10.0mg/L, Al, As, Ba, Be, Cd, Co, Cr, Cu, Mn, Mo, Ni, Pb, Sb, Se, Tl, V,
Zn、Th、U；Matrix is 10%HNO3。
Rare earth multicomponent element mixed standard solution (Agilent G8500-6955,10mgL-1), containing 16 kinds of rare earth elements：
Sc、Y、La、Ce、Pr、Nd、Sm、Eu、Gd、Tb、Dy、Ho、Er、Tm、Yb、Lu。
By crushing before Specimen eliminating, this work is using country-level tealeaves standard substance GBW 07605 (purchased from ground ore deposit
Geophysical-chemical research institute of portion) it is analyzed the quality control of method.Red rooted salvia is purchased from major pharmacies of Jinan City and GAP planting matrixs
Ground.
The sample message of table 1
Instrument and equipment
Speed wave MW-3 microwave digestion systems (Germany, Berghof companies)；7500a type inductively coupled plasmas
Mass spectrograph (ICP-MS)：(U.S., Agilent company), a ten thousandth electronic analytical balance (Germany, Sartourius)；Milli-
Q ultra-pure-water treatment systems (U.S., Milipore companies, 18.2M Ω).
ICP-MS Instrument working parameters are as shown in table 2：
The Agilent 7500a ICP-MS Instrument working parameters of table 2
Sample digestion method
After sample comminution, precise 0.3g is put into counteracting tank, adds 5mL high pure nitric acids, is left unlocked or unlatched cover, is placed
Night carry out it is pre- clear up, to discharge the gas that nitric acid and example reaction are generated, then counteracting tank is screwed, be put into micro-wave oven,
The step of clearing up program setting according to LEAF carries out intensification and clears up, and clears up end, after after counteracting tank cooling, turns on addition 1mL
H2O2, after sample becomes colorless clear solution, 30g is settled to ultra-pure water, it is analyzed.
Specifically clearing up program is：Micro-wave digestion sample is using carrying in Speed wave MW-3 microwave digestion systems
LEAF clears up program, is heated up the step of according to 100 DEG C -180 DEG C -200 DEG C -210 DEG C, and each temperature-rise period time is
2min, keeps 10min, whole digestion process to last 48min at a temperature of each.
Standard liquid
Using Agilent rare earth multicomponents element mixed standard solution Part#G8500-6955, diluted with 5% nitric acid and prepared
Sc, Y, La, Ce, Pr, Nd, Sm, Eu, Gd, Tb, Dy, Ho, Er, Tm, Yb, Lu16 kind rare earth element concentration are respectively 0.1 μ g/L,
0.5 μ g/L, 1 μ g/L, the mixed standard solution of 2 μ g/L, 5 μ g/L and 10 μ g/L.
Nitric acid using 5% as blank, be utilized respectively the mixed mark Part#5183-4688 of Agilent multielements prepare Na, Mg,
19 kinds of concentration of element such as K, Ca, V, Cr, Mn, Fe, Co, Ni, Cu, Zn, As, Se, Mo, Cd, Pb, Th, U are respectively 1 μ g/L, 5 μ g/
L, 10 μ g/L, the standard liquid of 20 μ g/L, 50 μ g/L and 100 μ g/L.Above standard liquid is analyzed, standard work is made
Curve.With 187Re, 115In, 103Rh as internal standard in continuous mode, rectify an instrument possible drift.
Data processing
Data statistic analysis are analyzed using SPSS 17.0 (U.S., IBM Corporation) software.Using single factor test variance point
Analysis (ANOVA) has carried out difference analysis to all elements of all samples.Work as p<When 0.05, it is believed that first prime number of different producing area
According to there is notable difference.Principal component analysis (PCA) is analyzed for Data Dimensionality Reduction, and linear discriminant analysis (LDA) is used to assess different products
Area's red rooted salvia whether there is significant difference.
Result and discussion
Multielement content analysis in the different producing area red sage root
35 kinds of average value and standard deviation of element in the red rooted salvia of table 3
a：Constituent content unit is g/Kg；b：Constituent content unit is mg/kg；c：Constituent content unit is μ g/kg.
In this research, 55 batches of separate sources (Shandong, Henan, mountains are determined using airtight microwave digestion-ICP-MS technologies
West, Anhui) red sage root sample, to wherein 35 kinds elements (19 kinds of trace element Na, Mg, K, Ca, V, Cr, Mn, Fe, Co, Ni, Cu,
Zn, As, Se, Mo, Cd, Pb, Th, U, 16 kinds of rare earth Scs, Y, La, Ce, Pr, Nd, Sm, Eu, Gd, Tb, Dy, Ho, Er, Tm,
Yb, Lu) it is determined, its average value and standard deviation are shown in Table 3.Result shows, 18 kinds of units in the red sage root sample of separate sources
Plain (Na, K, Ca, V, Fe, Ni, Cu, As, Se, Mo, Cd, Pb, Th, U, Sc, Y, La, Eu) shows notable difference (p<0.05),
Can be used for the further place of production and differentiate research.Na in Shandong producing region (including Yi Mengshan Mountain and In The Taishan Area) red sage root, Ni, Cu, Y,
La, Eu constituent content are apparently higher than Henan, Shanxi and Anhui producing region；Henan producing region Cd constituent contents are significantly higher；Shanxi producing region
The constituent contents such as K, Ca, V, Fe, As, Se, Mo, Pb, Th, U, Sc are significantly higher, and Na, Fe, Ni, Cu, Cd, Pb, Th, Sc, Y,
The constituent contents such as La, Eu are significantly lower than other producing regions.Principal component analysis
In order to further discriminate between the red sage root sample in Shandong producing region and other producing regions, using with notable difference (p<0.05)
18 kinds of trace elements and rare earth element (Na, K, Ca, V, Fe, Ni, Cu, As, Se, Mo, Cd, Pb, Th, U, Sc, Y, La, Eu) are carried out
Principal component analysis (PCA), the results are shown in Table 4.First five accumulative variance for planting principal component is 82.454%, wherein first three principal component
Comprising information reached the larger information (cumulative proportion in ANOVA is 71.744%) of all principal components.
The principal component analysis initial statistical value of table 4 is totally described to original variable
Factor loading reflects the size that each index is contributed principal component, as can be seen from Table 5, V, Fe, As, Pb, Th, U,
Sc has obvious positive phase load in principal component 1；Ni, Mo, Cd, Y, La, Eu have obvious positive phase load, Mo in principal component 2
There is obvious inverse load；Cu has obvious positive phase load in principal component 3.
The composition loading matrix of table 5a
Fig. 1 is the 3-D scatter diagrams that PC1-PC2-PC3 sets up, and SD therein refers to Shandong, and HN refers to Henan, and SX refers to mountain
West, AH refers to Anhui, and SD-YMS refers to Shandong Yi Mengshan Mountain, and SD-TS refers to tai shan, from figure 1 it appears that Shandong producing region
Obvious differentiation can be realized with the red sage root sample in Henan, Shanxi producing region；Shandong producing region exists with the red sage root sample in Anhui producing region
Partly overlap；The red sage root sample in Yi Mengshan Mountain and Liang Lei Shandong, Mount Taishan producing region does not substantially make a distinction, and this is probably due to its ground
Reason source is closer to, trace element and rare earth element content characteristics difference is smaller causes.It can thus be seen that to realize coming
Come from the differentiation of different province red rooted salvias, in addition it is also necessary to further develop other statistical analysis techniques.
Discriminant analysis
For the effect for further clearly being differentiated to different producing area red sage root sample using elementary analysis result, with variance
Analysis preferably go out with significant difference 18 kinds of elements (Na, K, Ca, V, Fe, Ni, Cu, As, Se, Mo, Cd, Pb, Th, U,
Sc, Y, La, Eu) carry out linear discriminant analysis as variable.7 kinds of elements (Na, K, Ca, Mo, Cd, Pb, Y) of selection are used as differentiation
Index, discrimination model is set up using stepwise discriminatory method, and 3 discriminant functions are constructed based on Wilks'lambda values.Differentiate
Function F1, F2 and F3 characteristic value is respectively 4.394,1.209 and 0.396.Three functions explain 100% variation (the 1st letter
Number explains the 73.2% of all variations, and the 2nd function explains remaining 20.1%, and the 3rd function explains remaining
6.6%).Canonical correlation coefficient is respectively 0.903,0.740 and 0.533.To differentiate result variance analysis show, class inherited
Significantly (P<0.01), illustrate to differentiate that result is effective.Discriminant function is as follows：
F1=-0.539Na-0.464K+0.612Ca+1.183Mo+0.426Cd+0.037Pb-0.071 Y
F2=-0.105Na+0.883K-0.683Ca-0.267Mo+1.182Cd+0.373Pb-1.170 Y
F3=0.493Na-0.270K+0.320Ca-0.297Mo-0.208Cd+0.953Pb-0.095Y
Is drawn using three function scores and the red sage root sample classification of the difference province such as Shandong, Henan, Shanxi, Anhui is carried out
Check (see Fig. 2).It can be seen that realizing the differentiation of Shandong producing region red sage root sample and other producing regions substantially.
7 kinds of elements (Na, K, Ca, Mo, Cd, Pb, Y) of selection are right using orthogonal proof method (leaving-one method) as discriminant criterion
Discrimination model verified, the results are shown in Table 6.To sentence accuracy be 100%, cross validation success rate is returned to 55 training set samples
It is 85.5%, illustrates that the discriminant equation for obtaining has good stability.The Fisher in Shandong, Henan, Shanxi and Anhui producing region linearly sentences
Other formula function is as follows：
Group(Shandong)=0.272Na+0.0003K+0.655Ca+1.124Mo+12.987Cd+1.466Pb-0.002Y-
12.978；
Group(Henan)=-0.300Na-0.018K+0.745Ca+7.564Mo+41.866Cd+2.051Pb-0.01Y-
31.996；
Group(Shanxi)=-0.313Na-0.123K+1.4265Ca+11.915Mo+19.479Cd+1.832Pb+
0.00010Y-40.483；
Group(Anhui)=-0.264Na-0.063K+1.026Ca+8.294Mo+16.362Cd+0.123Pb+0.001Y-
21.205。
The different regions red sage root sample classification results of table 6 and observed value are correctly classified percentage
A. cross validation only is carried out to the case in analysis.In cross validation, each case be according to from
Function that every other case beyond the case derives from is classified.
B. correct classification has been carried out to 100.0% in initial packet case.
C. correct classification has been carried out to 85.5% in cross validation packet case.
The preferred embodiment of the application is the foregoing is only, the application is not limited to, for the skill of this area
For art personnel, the application can have various modifications and variations.It is all within spirit herein and principle, made any repair
Change, equivalent, improvement etc., should be included within the protection domain of the application.
Claims (10)
1. it is a kind of to carry out what the place of production was traced to the source to the red sage root using trace element and rare earth element assay combination multi-variate statistical analysis
Method, it is characterised in that：Comprise the following steps：
1) various concentrations trace element and rare earth element mixed standard solution are analyzed using ICP-MS, prepare standard bent
Line；
2) sample is cleared up, the multiple batches of red sage root sample of different sources is analyzed with ICP-MS detection method, obtained contained by it
Trace element and rare earth element content, using one-way analysis of variance method to all samples trace element and rare earth element
Element carries out difference analysis, works as p<When 0.05, it is believed that the element data of different producing area has notable difference；
3) choosing trace element and rare earth element with notable difference carries out principal component analysis, for Data Dimensionality Reduction analysis；
4) select the element with significant difference using variance analysis carries out linear discriminant analysis as variable, and 7 are selected wherein
Element is planted as discriminant criterion, discrimination model is set up using stepwise discriminatory method, three are constructed based on Wilks'lambda values
Individual discriminant function, discriminant function F1, F2 and F3 characteristic value is respectively 4.394,1.209 and 0.396；
5) drawn using three discriminant function scores and different province red sage root samples are checked, to the red sage root sample of different producing area
It is estimated differentiation；
6) use step 4) in choose 7 kinds of elements as discriminant criterion, discrimination model is verified using orthogonal proof method,
Determine the stability of discriminant equation.
2. method according to claim 1, it is characterised in that：Step 1) in, the standard liquid includes using mass fraction
Be 5% nitric acid dilution Agilent rare earth multicomponents element mixed standard solution Part#G8500-6955, prepare Sc, Y, La, Ce,
The mixed standard solution of the various concentrations of Pr, Nd, Sm, Eu, Gd, Tb, Dy, Ho, Er, Tm, Yb, Lu；
With, with nitric acid that mass fraction is 5% dilute the mixed mark Part#5183-4688 of Agilent multielements prepare Na, Mg, K,
The standard liquid of the various concentrations of Ca, V, Cr, Mn, Fe, Co, Ni, Cu, Zn, As, Se, Mo, Cd, Pb, Th, U.
3. method according to claim 2, it is characterised in that：Rare earth element concentration difference in the mixed standard solution
It is 0.1 μ g/L, 0.5 μ g/L, 1 μ g/L, 2 μ g/L, 5 μ g/L and 10 μ g/L；
The concentration of element is respectively 1 μ g/L, 5 μ g/L, 10 μ g/L, 20 μ g/L, 50 μ g/L and 100 μ g/L in the standard liquid.
4. method according to claim 3, it is characterised in that：During standard curve determination, with 187Re, 115In,
103Rh is internal standard, and rectify an instrument possible drift.
5. method according to claim 1, it is characterised in that：Step 2) in, the method for Specimen eliminating, including following step
Suddenly：Sample is crushed, is weighed, add concentrated nitric acid carry out it is pre- clear up, after the gas that discharge nitric acid and example reaction are produced, will
Sample is put into micro-wave oven to heat up to be cleared up, after clearing up end, to adding H in sample2O2, after sample becomes colorless clear solution,
Ultra-pure water constant volume, you can.
6. method according to claim 5, it is characterised in that：The program that intensification is cleared up is using 100 DEG C -180 DEG C -200
DEG C of -210 DEG C the step of, are heated up, and each temperature-rise period time is 2min, and 10min is kept at a temperature of each.
7. method according to claim 1, it is characterised in that：Step 4) in, it is poor with conspicuousness to be selected with variance analysis
Different element includes Na, K, Ca, V, Fe, Ni, Cu, As, Se, Mo, Cd, Pb, Th, U, Sc, Y, La, Eu, used as discriminant criterion
Element is Na, K, Ca, Mo, Cd, Pb, Y.
8. method according to claim 1, it is characterised in that：Step 4) in, three discriminant functions F1, F2 and F3 are respectively
F1=-0.539Na-0.464K+0.612Ca+1.183Mo+0.426Cd+0.037Pb-0.071 Y；
F2=-0.105Na+0.883K-0.683Ca-0.267Mo+1.182Cd+0.373Pb-1.170 Y；
F3=0.493Na-0.270K+0.320Ca-0.297Mo-0.208Cd+0.953Pb-0.095Y.
9. method according to claim 1, it is characterised in that：Using the method to the product in Shandong, Henan, Shanxi and Anhui
The red sage root in area is tested and analyzed, and the Fisher linear discrimination functions in the Shandong, Henan, Shanxi and the Anhui producing region that obtain are such as
Under：
Group(Shandong)=0.272Na+0.0003K+0.655Ca+1.124Mo+12.987Cd+1.466Pb-0.002Y- 12.978；
Group(Henan)=-0.300Na-0.018K+0.745Ca+7.564Mo+41.866Cd+2.051Pb-0.01Y-31 .996；
Group(Shanxi)=-0.313Na-0.123K+1.4265Ca+11.915Mo+19.479Cd+1.832Pb+0.0001 0Y-
40.483；
Group(Anhui)=-0.264Na-0.063K+1.026Ca+8.294Mo+16.362Cd+0.123Pb+0.001Y-2 1.205.
10. any methods describeds of claim 1-9 are carrying out the application during the place of production is traced to the source to the red sage root.
Priority Applications (1)
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| CN108419751A (en) * | 2018-03-26 | 2018-08-21 | 四川大学 | Produce phoenix tail chicken in a kind of Sichuan Province's Aba Prefecture Heishui County |
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| CN111007094A (en) * | 2019-12-03 | 2020-04-14 | 上海海关工业品与原材料检测技术中心 | Method for distinguishing producing area of imported copper concentrate |
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| CN111505105A (en) * | 2020-05-25 | 2020-08-07 | 中国地质大学（武汉） | Trace element-based crude oil producing area tracing method |
| CN112098500A (en) * | 2020-08-06 | 2020-12-18 | 中国地质大学（武汉） | Trace element-based coal producing area tracing method |
| CN112180006A (en) * | 2020-09-15 | 2021-01-05 | 大连海洋大学 | Method for constructing tracing of apostichopus japonicus origin |
| CN112666246A (en) * | 2020-12-17 | 2021-04-16 | 贵州中医药大学 | Method for screening dendrobium officinale cultivated by imitating wild rock fissure epiphytic growth |
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| CN111505105A (en) * | 2020-05-25 | 2020-08-07 | 中国地质大学（武汉） | Trace element-based crude oil producing area tracing method |
| CN112098500A (en) * | 2020-08-06 | 2020-12-18 | 中国地质大学（武汉） | Trace element-based coal producing area tracing method |
| CN112180006A (en) * | 2020-09-15 | 2021-01-05 | 大连海洋大学 | Method for constructing tracing of apostichopus japonicus origin |
| CN112666246A (en) * | 2020-12-17 | 2021-04-16 | 贵州中医药大学 | Method for screening dendrobium officinale cultivated by imitating wild rock fissure epiphytic growth |
| CN113205161A (en) * | 2021-07-05 | 2021-08-03 | 北京微芯区块链与边缘计算研究院 | Traditional Chinese medicine producing area distinguishing system and method based on soil parameters |
| CN113205161B (en) * | 2021-07-05 | 2021-12-03 | 北京微芯区块链与边缘计算研究院 | Traditional Chinese medicine producing area distinguishing system and method based on soil parameters |
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