CN104655812B - The good and bad method for quick identification of a kind of pseudo-ginseng true and false - Google Patents
The good and bad method for quick identification of a kind of pseudo-ginseng true and false Download PDFInfo
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Abstract
The present invention discloses the good and bad method for quick identification of a kind of pseudo-ginseng true and false, and the method adopts Electronic Nose and electronic tongues to detect sample, is adopting PCA and DFA analytical method to carry out analysis and identification to sample, thereby is distinguishing the true and false and the quality of pseudo-ginseng. Discrimination of the present invention is high, and discriminating speed is fast.
Description
Technical field
The present invention relates to prepared slices of Chinese crude drugs field, relate in particular to the good and bad method for quick identification of a kind of pseudo-ginseng true and false.
Background technology
Pseudo-ginseng is the dry of panax araliaceae plant Panaxnotoginseng (Burk.) F.H.ChenRoot and rhizome. Because of the loose stasis of blood hemostasis of its effect, detumescence ding-tong, can be used for spitting of blood, spits blood, and bleeding from five sense organs or subcutaneous tissue, has blood in stool,Uterine bleeding, traumatism and bleeding, chest ventral spine pain, tumbling and swelling, is a kind of important herbal species.
But, the phenomenon that the pseudo-ginseng on market exists adulterant to mix. On the one hand, outside between pseudo-ginseng and adulterant thereofSee proterties and have very high similitude, add to be use mainly with powder greatly, powder is all with faint yellow or yellow-whiteBe main, cause and be difficult for effectively distinguishing discriminating. On the other hand, current pseudo-ginseng is due to weatherChange, soil pollution etc. cause Yield and quality to decline, and the enhancing of market supply and demand contradiction becomes increasingly conspicuous, and causes threeSeptivalency Ge Gaoang under the driving of economic interests, mixes pseudo-phenomenon serious in Notoginseng Root.
At present existing several different methods is applied to the discriminating research of pseudo-ginseng, as chromatogram, micro-, PCR-RFLP,FT-IR, 2D-IR etc. But these methods exist or workload is large, or time loss is many, or expensive,Or the not high shortcoming of specificity. Therefore set up a kind of fast and reliable method to differentiate the true and false quality of pseudo-ginsengSignificant.
Electronic Nose be a kind of for detection of with distinguish the instrument of complicated gas, its sensor array is by a series ofMany sensitive sensor compositions. Electronic tongues is a kind of Artifical Taste analytical instrument, and it is by one group of specific sensingDevice composition, for detection of complicated fluid sample. This two quasi-instrument have hypersensitivity, efficiency high, disappearConsume few feature. At present, as a kind of effective method, the discriminating that has been successfully applied to multi-product is distinguished,But carry out the qualification of pseudo-ginseng true and false quality there are no adopting Electronic Nose or electronic tongues.
It is that one is usually used in Data Dimensionality Reduction that PCA analyzes (principal component analysis), and solves the many of linear problemStatistics of variable method. The method replaces original incoherent variable by producing new variables, and by linearData splitting carries out dimensionality reduction, has simplified the task of all variable informations that obtain data centralization. Normal conditionsUnder, the variable that some are new, is called principal component (PCs), can explain former variable data information, therefore,Only consider multiple principal components, high dimensional data can be reduced to a lower dimension, and data message damagesLose little. Current this technology is widely used in the middle of data processing.
It is on the basis based on priori data classification, to inhomogeneity that DFA analyzes (differentiation factorial analysis)Between border calculate, make maximum and each class internal variance minimum of inter-class variance. So this lineProperty combination maximized can Display Group between the dimension contribution rate of maximum difference. In this way,The data under same data set with heterogeneity meaning effectively can be distinguished. At present, this skillArt is widely used in complicated data analysis.
Summary of the invention
The present invention aims to provide the good and bad method for quick identification of a kind of pseudo-ginseng true and false, the method adopt Electronic Nose andElectronic tongues detects, and discrimination is high, and discriminating speed is fast.
For achieving the above object, the present invention realizes by the following technical solutions:
The good and bad method for quick identification of the pseudo-ginseng true and false disclosed by the invention, comprises the following steps:
S1, sample making, is broken into powder by raw meal stand-by.
S2, adopts detection by electronic nose sample, takes sample by predetermined quality, presses predetermined value in test processRespectively setting air flow velocity, sampling volume, injector to inject speed, oscillator temperature, concussion time,Sample feeding interval time and detection by electronic nose time.
S3, adopts electronic tongues to detect sample, takes sample size by predetermined value, be diluted with water, and refluxing extraction,Let cool, filter, get after filtrate is diluted again and carry out electronic tongues detection detection time according to predetermined electronic tongues.
S4, carries out PCA analysis (principal component analysis) to the testing result of Electronic Nose, electronic tongues, respectively withThe input that the sensor response that Electronic Nose and electronic tongues obtain is analyzed as PCA, according to the PCA of Electronic NoseAnalysis result, adopts front 3 maximum principal components of contribution to form the first three-dimensional shot chart, then according to firstThe registration of three-dimensional shot chart and various Notoginseng Root samples is determined the true and false quality of Radix Notoginseng powder; According to electronicsThe PCA analysis result of tongue, adopts front 3 maximum principal components of contribution to form the second three-dimensional shot chart, thenDetermine according to the registration of the three-dimensional shot chart of the standard of the second three-dimensional shot chart and various Notoginseng Root samplesThe true and false quality of this sample, or according to the three-dimensional shot chart of the standard of the second three-dimensional shot chart and Radix Notoginseng powderRegistration judges whether this sample mixes puppet.
S5, carries out respectively DFA analysis to the testing result of Electronic Nose, electronic tongues, respectively with Electronic Nose andThe sensor response that electronic tongues obtains is as the input of DFA model; Analyze knot according to the DFA of Electronic NoseReally, obtain the first two-dimentional shot chart, then according to the weight of the first two-dimentional shot chart and various Notoginseng Root samplesThe true and false quality of right definite Radix Notoginseng powder; According to the PCA analysis result of Electronic Nose, adopt front 3 contributionsMaximum principal component forms the second two-dimentional shot chart, then according to the second two-dimentional shot chart and various Notoginseng RootThe registration of the standard two dimension shot chart of sample is determined the true and false quality of this sample, or according to the two or twoThe registration of the standard two dimension shot chart of dimension shot chart and Radix Notoginseng powder judges whether this sample mixes puppet.
Preferably, described Electronic Nose is the FOX-4000 type Electronic Nose of AlphaMos company, described electricitySub-tongue is the α Astree type electronic tongues of AlphaMos company.
Further, in step S1, described powder is passed through to 100 object screen filtrations.
Preferably, in step S2, described Electronic Nose is used 18 sensors, be respectively T30/1,T40/2、T40/1、TA/2、T70/2、P10/1、P10/2、P40/1、PA/2、P30/1、P40/2，P30/2、LY2/LG、LY2/G、LY2/AA、LY2/GH、LY2/gCTL、LY2/gCT；Described electronic tongues is used 7 sensors, is respectively ZZ, AB, GA, BB, CA, DA, JE.
Further, in step S3, before each measurement, sensor is activated, calibration and diagnosis,Reliable to ensure data stabilization, at activation and calibration phase, use the hydrochloric acid of 0.01mol/L to sensorThe stability of response is tested, and in diagnostic phases, uses respectively the hydrochloric acid of 0.01mol/L, 0.01mol/LThe Pidolidone sodium of sodium chloride and 0.01mol/L is tested sensor.
Further, in step S2, to sample duplicate measurements 3 times.
Further, in step S3, before detection sample, adopt ionized water rinsing electronic tongues, sample inspectionOrder-checking row are set to replication 10 and enclose, and get the data of last 3 times and carry out Treatment Analysis.
Preferably, in step S2, described predetermined quality be 1.0 grams, air velocity be 150mL/min,Sampling volume be 2000 μ L, injector to inject speed be 2000 μ L/s, 60 DEG C of oscillator temperature,Duration of oscillation is that 600s, sample feeding interval time is that 600s, detection by electronic nose time are 120s.
Preferably, in step S3, described sample size is 0.5g, adds water 80 milliliters and dilutes, and backflow is carriedGet 1 hour time, let cool, filter, get filtered fluid 20mL and be again diluted to 100mL, measure 80mLCarry out electronic tongues detection, described electronic tongues detection time is 120s, gets the sensor between 100s and 120sResponse mean value is output valve.
The good and bad method for quick identification of the pseudo-ginseng true and false disclosed by the invention, adopts Electronic Nose and electronic tongues to examineSurvey, discrimination is high, and discriminating speed is fast.
Brief description of the drawings
Fig. 1 is that the three-dimensional of PCA analysis that adopts FOX-4000 type Electronic Nose to carry out pseudo-ginseng authenticity obtainsComponent;
Fig. 2 is that the three-dimensional of PCA analysis that adopts α Astree type electronic tongues to carry out pseudo-ginseng authenticity obtainsComponent;
Fig. 3 is that the two-dimentional of DFA analysis that adopts FOX-4000 type Electronic Nose to carry out pseudo-ginseng authenticity obtainsComponent;
Fig. 4 is that the two-dimentional of DFA analysis that adopts α Astree type electronic tongues to carry out pseudo-ginseng authenticity obtainsComponent;
Fig. 5 adopts FOX-4000 type Electronic Nose to carry out pseudo-ginseng mixes adulterant qualification PCA analysis with itThree-dimensional shot chart;
Fig. 6 adopts α Astree type electronic tongues to carry out pseudo-ginseng mixes adulterant qualification PCA analysis with itThree-dimensional shot chart;
Fig. 7 adopts FOX-4000 type Electronic Nose to carry out pseudo-ginseng mixes adulterant qualification DFA analysis with itTwo dimension shot chart;
Fig. 8 adopts FOX-4000 type Electronic Nose to carry out pseudo-ginseng to mix the DFA that adulterant classification identifies with it and divideThe two-dimentional shot chart of analysing;
Fig. 9 adopts α Astree type electronic tongues to carry out pseudo-ginseng mixes adulterant qualification DFA analysis with itTwo dimension shot chart;
Figure 10 adopts α Astree II type electronic tongues to carry out pseudo-ginseng to mix the DFA of adulterant classification qualification with itThe two-dimentional shot chart of analyzing;
Detailed description of the invention
In order to make object of the present invention, technical scheme and advantage clearer, below in conjunction with accompanying drawing,The present invention is further elaborated.
Get four strains sample, comprise pseudo-ginseng (numbering 1-9), curcuma zedoary (numbering 10-12), turmeric (volumeNumber 13-15) and Bulbilus boussingaultiae pseudobaselloidis (numbering 16), above-mentioned sample message is in table 1; All samples is pulverized, and crosses 100Mesh sieve, for subsequent use.
Table 1 pseudo-ginseng and adulterant sample message thereof
Artificial adulterated Notoginseng Root, by mixing in varing proportions other adulterants in pseudo-ginseng (NO.1) powder.All material samples carry out adulterated mixing after pulverizing and cross 100 mesh sieves. Artificial adulterated information is in table 2.
The artificial adulterated Notoginseng Root sample of table 2
Pseudo-ginseng authenticity
Electronic Nose adopts FOX-4000 electric nasus system (AlphaMos), and by sensor array, air is sent outRaw device, HS-100 automatic sampler and mode identificating software (AlphaM.O.S., Version2012.45)Composition. 18 metal-oxide semiconductor (MOS) chemical sensors comprise three types: T (T30/1, T40/2,T40/1，TA/2，T70/2)，P(P10/1，P10/2，P40/1，PA/2，P30/1，P40/2, P30/2) and LY (LY2/LG, LY2/G, LY2/AA, LY2/GH, LY2/gCTL, LY2/gCT).
Take sample 1.0g in 20mL head space bottle, sealing, is positioned over auto injection dish. In test processSystem air flow velocity is set to 150mL/min; Sampling volume 2000 μ L, injector to inject speed 2000μ L/s; 60 DEG C of oscillator temperature, concussion time 600s; Sample feeding is set to 600s interval time;Detection time 120s. Using the maximum response of every sensor as output valve. All samples is heavy respectivelyFixed 3 times of repetition measurement.
Electronic tongues adopts the α Astree type electronic tongues of AlphaMOS, comprises ZZ, AB, and GA, BB, CA,DA and JE7 root cross sensitivity potentiometric sensor array; Ag/AgCl reference electrode (Metrohm,Ltd.); Mechanical agitator (Metrohm, Ltd.); 16 automatic samplers; Signal processing system (AlphaAnd mode identificating software (AlphaM.O.S., Version2012.45) MOS).
Before each measurement, sensor is activated, calibration and diagnosis, reliable to ensure data stabilization. ?Activation and calibration phase, use the hydrochloric acid of 0.01mol/L to test the stability of sensor response.In diagnostic phases, use respectively the hydrochloric acid of 0.01mol/L, 0.01mol/L sodium chloride and 0.01mol/LPidolidone sodium sensor is tested.
Take sample 0.5g in plug conical flask, add water 80 milliliters, last 1 hour of refluxing extraction, lets cool,Filter, get subsequent filtrate 20mL and be diluted to 100mL. Measure 80mL liquid and be placed in beaker, and loadTo auto injection dish. All samples is set to 120s analysis time, gets the biography between 100s and 120sSensor response mean value is output valve. After the complete single sample of every analysis, use rinsed with deionized water, then under measuringA sample. Sample determination sequence is set to replication 10 and encloses (at all samples measurement knot of first lapShu Hou, then carry out the measurement of next circle). Carry out Treatment Analysis with the data of last 3 times.
PCA analyzes
The signal of telecommunication obtaining with Electronic Nose and electronic tongues, i.e. sensor response (18 variablees of Electronic Nose7 variablees with electronic tongues) as the input of principal component analysis.
Fig. 1 is according to according to detection by electronic nose result, adopts the principal component of front 3 contribution rate maximums(PC1=99.969%, PC2=0.02634%; PC3=0.005049%) the three-dimensional shot chart forming. AsShown in Fig. 1,4 kind samples are divided into four groups, between each group, can obviously distinguish; According to detection by electronic noseAs a result, there is each other notable difference in pseudo-ginseng and its adulterant.
Fig. 2 is according to electronic tongues, adopt front 3 contribution rate maximums principal component (PC1=99.952%,PC2=0.04278%; PC3=0.004998%) the three-dimensional shot chart forming. As shown in Figure 2,4 notWith distinguishing obviously between kind sample. According to electronic tongues testing result, pseudo-ginseng and its adulterant exist bright each otherSignificant difference is different.
According to above analysis, Electronic Nose and electronic tongues can present similitude between pseudo-ginseng and adulterant thereof or poorDifferent, and can realize the true and false discriminating of pseudo-ginseng according to PCA.
DFA analyzes
All variablees of Electronic Nose and electronic tongues are all as the input of DFA model. (No. 1 to the 6th for sampleNumber, No. 10 to No. 16) as model training group, pseudo-ginseng sample (No. 7 to No. 9) is set as the unknownSample is as test group.
Fig. 3 be according to Electronic Nose sensor response be input DFA model (DF1=72.732%,DF2=25.096%), total contribution rate is 97.828%.
Fig. 4 be according to electronic tongue sensor response be input DFA model (DF1=91.783%,DF2=7.466%), total contribution rate is 99.249%.
These two modelling verifications must be divided into 100, and modelling effect is fabulous. According to the DFA model of setting up, fourPlant and distinguished significantly. Test group unknown sample recognition result (in table 3) is good, three unknown samples(pseudo-ginseng) be correctly identification all.
Table 3 pseudo-ginseng and adulterant DFA recognition result thereof
Pseudo-ginseng quality (certified products with mix adulterant) is differentiated
PCA analyzes
Fig. 5 is according to Electronic Nose, adopt front 3 contribution rate maximums principal component (PC1=99.967%,PC2=0.02908%, PC3=0.003823%) form three-dimensional shot chart. In figure, sample is divided into four groups(pseudo-ginseng, a1, a2 and a3). A1, what this group comprised mixes pseudo-sample by pseudo-ginseng and curcuma zedoary powder different proportionMix; A2, what this group comprised mix pseudo-sample is mixed by pseudo-ginseng and curcuma powder different proportion; A3,What this group comprised mix pseudo-sample is mixed by pseudo-ginseng and Bulbilus boussingaultiae pseudobaselloidis powder different proportion. In Fig. 5, various kindsProduct component is distributed in different regions. Show that pseudo-ginseng mixes pseudo-sample and can obviously be distinguished from different.
Fig. 6 is according to electronic tongues, adopt front 3 contribution rate maximums principal component (PC1=99.958%,PC2=0.03774%, PC3=0.004052%) form three-dimensional shot chart. In figure, sample is divided into four groups(pseudo-ginseng, a1, a2 and a3). A1, what this group comprised mixes pseudo-sample by pseudo-ginseng and curcuma zedoary powder different proportionMix; A2, what this group comprised mix pseudo-sample is mixed by pseudo-ginseng and curcuma powder different proportion; A3,What this group comprised mix pseudo-sample is mixed by pseudo-ginseng and Bulbilus boussingaultiae pseudobaselloidis powder different proportion. In Fig. 6, show threeSeven mix pseudo-sample and can obviously be distinguished from different.
DFA analyzes
Electronic Nose
All variablees of Electronic Nose are all as the input variable of DFA model. All adulterated samples and pseudo-ginseng(NO.1) as the training group of model, and random 4 samples selecting are organized sample as test.
Fig. 7 is whether the DFA model of setting up is adulterated with Division identification Radix Notoginseng powder. The demonstration of DFA result, threeSeven powder and adulterated sample area are divided obviously, and all unknown samples are all correctly identified.
Fig. 8 be set up DFA model with Division identification Radix Notoginseng powder and the concrete adulterated sample classification of Radix Notoginseng powder.In figure, sample is divided into four groups (pseudo-ginseng, a1, a2 and a3). A1, what this group comprised mixes pseudo-sample by threeSeven mix with curcuma zedoary powder different proportion; A2, what this group comprised mix pseudo-sample is not by pseudo-ginseng and curcuma powderMix in proportion; A3, what this group comprised mix pseudo-sample is mixed with Bulbilus boussingaultiae pseudobaselloidis powder different proportion by pseudo-ginsengForm. The demonstration of DFA result, Radix Notoginseng powder and adulterated sample area are divided obviously, and all unknown samples are all correctly knownNot.
Electronic tongues
All variablees of electronic tongues are all as the input variable of DFA model. All adulterated samples and Radix Notoginseng powder(NO.1) as the training group of model, and random 4 samples selecting are organized sample as test.
Fig. 9 is whether the DFA model of setting up is adulterated with Division identification Radix Notoginseng powder. The demonstration of DFA result, threeSeven powder and adulterated sample area are divided obviously, and all unknown samples are all correctly identified.
Figure 10 be set up DFA model with Division identification Radix Notoginseng powder and the concrete adulterated sample class of Radix Notoginseng powderNot. In figure, sample is divided into four groups (pseudo-ginseng, a1, a2 and a3). A1, what this group comprised mixes pseudo-sampleMixed by pseudo-ginseng and curcuma zedoary powder different proportion; A2, what this group comprised mixes pseudo-sample by pseudo-ginseng and turmericPowder different proportion mixes; A3, what this group comprised mixes pseudo-sample by pseudo-ginseng and Bulbilus boussingaultiae pseudobaselloidis powder different proportionMix. The demonstration of DFA result, Radix Notoginseng powder and adulterated sample area are divided obviously, and all unknown samples all obtainTo correct identification.
Certainly, the present invention also can have other various embodiments, is not deviating from spirit of the present invention and essence thereofIn situation, those of ordinary skill in the art can make according to the present invention various corresponding changes and distortion,But these corresponding changes and distortion all should belong to the protection domain of the appended claim of the present invention.
Claims (10)
1. the good and bad method for quick identification of the pseudo-ginseng true and false, is characterized in that, comprises the following steps:
S1, sample making, is broken into powder by raw meal stand-by;
S2, adopts detection by electronic nose sample, takes sample by predetermined quality, presses predetermined value in test processRespectively setting air flow velocity, sampling volume, injector to inject speed, oscillator temperature, concussion time,Sample feeding interval time and detection by electronic nose time;
S3, adopts electronic tongues to detect sample, takes sample by predetermined quality, be diluted with water, and refluxing extraction,Let cool, filter, get filtrate and again dilute after constant volume according to predetermined electronic tongues and carry out electronic tongues detection timeDetect
S4, carries out PCA analysis to the testing result of Electronic Nose, electronic tongues, respectively with Electronic Nose and electronicsThe input that the sensor response that tongue obtains is analyzed as PCA, according to the PCA analysis result of Electronic Nose,Adopt front 3 maximum principal components of contribution to form the first three-dimensional shot chart, then according to the first three-dimensional shot chartDetermine the true and false quality of Radix Notoginseng powder with the registration of various Notoginseng Root samples; Divide according to the PCA of electronic tonguesAnalyse result, adopt front 3 maximum principal components of contribution to form the second three-dimensional shot chart, then according to the two or threeThe registration of the three-dimensional shot chart of standard of dimension shot chart and various Notoginseng Root samples is determined the true of this samplePseudo-good and bad, or sentence according to the registration of the three-dimensional shot chart of the standard of the second three-dimensional shot chart and Radix Notoginseng powderWhether fixed this sample mixes puppet
S5, carries out respectively DFA analysis to the testing result of Electronic Nose, electronic tongues, respectively with Electronic Nose andThe sensor response that electronic tongues obtains is as the input of DFA model; Analyze knot according to the DFA of Electronic NoseReally, obtain the first two-dimentional shot chart, then according to the weight of the first two-dimentional shot chart and various Notoginseng Root samplesThe true and false quality of right definite Radix Notoginseng powder; According to the PCA analysis result of Electronic Nose, adopt front 3 contributionsMaximum principal component forms the second two-dimentional shot chart, then according to the second two-dimentional shot chart and various Notoginseng RootThe registration of the standard two dimension shot chart of sample is determined the true and false quality of this sample, or according to the two or twoThe registration of the standard two dimension shot chart of dimension shot chart and Radix Notoginseng powder judges whether this sample mixes puppet.
2. the good and bad method for quick identification of the pseudo-ginseng true and false according to claim 1, is characterized in that: instituteIn the pseudo-ginseng true and false quality of stating, the described pseudo-ginseng true and false refers to: pseudo-ginseng and adulterant thereof; Described pseudo-ginseng quality isRefer to: Radix Notoginseng powder and Radix Notoginseng powder thereof respectively with the mixture of adulterant powder.
3. the good and bad method for quick identification of the pseudo-ginseng true and false according to claim 1, is characterized in that: instituteStating Electronic Nose is the FOX-4000 Electronic Nose of AlphaMos company, and described electronic tongues is AlphaMos public affairsThe α Astree electronic tongues of department.
4. the good and bad method for quick identification of the pseudo-ginseng true and false according to claim 1, is characterized in that:In step S1, described powder is passed through to 100 object screen filtrations.
5. the good and bad method for quick identification of the pseudo-ginseng true and false according to claim 2, is characterized in that:In step S2, described Electronic Nose is used 18 sensors, be respectively T30/1, T40/2, T40/1,TA/2、T70/2、P10/1、P10/2、P40/1、PA/2、P30/1、P40/2，P30/2, LY2/LG, LY2/G, LY2/AA, LY2/GH, LY2/gCTL, LY2/gCT; Described electronic tongues makesWith 7 sensors, be respectively ZZ, AB, GA, BB, CA, DA, JE.
6. the good and bad method for quick identification of the pseudo-ginseng true and false according to claim 1, is characterized in that:In step S3, before each measurement, sensor is activated, calibration and diagnosis, to ensure data stabilizationReliably, at activation and calibration phase, use the hydrochloric acid of 0.01mol/L to enter the stability of sensor responseRow test, in diagnostic phases, is used respectively the hydrochloric acid of 0.01mol/L, 0.01mol/L sodium chloride andThe Pidolidone sodium of 0.01mol/L is tested sensor.
7. the good and bad method for quick identification of the pseudo-ginseng true and false according to claim 1, is characterized in that:In step S2, to sample duplicate measurements 3 times.
8. the good and bad method for quick identification of the pseudo-ginseng true and false according to claim 1, is characterized in that:In step S3, before detection sample, adopt ionized water rinsing electronic tongues, sample detection sequence is set to repetitionMeasure 10 circles, get the data of last 3 times and carry out Treatment Analysis.
9. the good and bad method for quick identification of the pseudo-ginseng true and false according to claim 1, is characterized in that:In step S2, described predetermined quality is that 1.0g, air velocity are that 150mL/min, sampling volume are 2000μ L, injector to inject speed be 1800 μ L/s, 60 DEG C of oscillator temperature, duration of oscillation be 600s,Sample feeding interval time is that 600s, detection by electronic nose time are 120s.
10. the good and bad method for quick identification of the pseudo-ginseng true and false according to claim 1, is characterized in that:In step S3, described sample is 0.5g, add water 80 milliliters and dilute, and reflux extracting time 1 hour,Let cool, filter, get filtered fluid 20mL and be again diluted to 100mL, measure 80mL and carry out electronic tongues detection,Described electronic tongues detection time is 120s, and the sensor response mean value of getting between 100s and 120s is outputValue.
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| CN110031401B (en) * | 2018-01-12 | 2021-09-21 | 云南三七科技有限公司 | Rapid identification method of pseudo-ginseng powder |
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