CN105486656A - Method for detecting content of acid orange added in chilli powder - Google Patents
Method for detecting content of acid orange added in chilli powder Download PDFInfo
- Publication number
- CN105486656A CN105486656A CN201510851487.9A CN201510851487A CN105486656A CN 105486656 A CN105486656 A CN 105486656A CN 201510851487 A CN201510851487 A CN 201510851487A CN 105486656 A CN105486656 A CN 105486656A
- Authority
- CN
- China
- Prior art keywords
- acid orange
- content
- chilli powder
- absorbance
- linear regression
- 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.)
- Pending
Links
- CQPFMGBJSMSXLP-UHFFFAOYSA-M acid orange 7 Chemical compound [Na+].OC1=CC=C2C=CC=CC2=C1N=NC1=CC=C(S([O-])(=O)=O)C=C1 CQPFMGBJSMSXLP-UHFFFAOYSA-M 0.000 title claims abstract description 75
- 239000000843 powder Substances 0.000 title claims abstract description 31
- 238000000034 method Methods 0.000 title claims abstract description 23
- 240000004160 Capsicum annuum Species 0.000 title claims abstract 13
- 238000012417 linear regression Methods 0.000 claims abstract description 47
- 238000012360 testing method Methods 0.000 claims abstract description 36
- 238000002835 absorbance Methods 0.000 claims abstract description 27
- 238000010521 absorption reaction Methods 0.000 claims abstract description 26
- 238000000862 absorption spectrum Methods 0.000 claims abstract description 8
- 238000001514 detection method Methods 0.000 claims description 24
- 238000000605 extraction Methods 0.000 claims description 5
- 238000004364 calculation method Methods 0.000 abstract 1
- 240000008574 Capsicum frutescens Species 0.000 description 19
- 238000004458 analytical method Methods 0.000 description 5
- 239000000463 material Substances 0.000 description 5
- IOLCXVTUBQKXJR-UHFFFAOYSA-M potassium bromide Chemical compound [K+].[Br-] IOLCXVTUBQKXJR-UHFFFAOYSA-M 0.000 description 4
- 238000002360 preparation method Methods 0.000 description 4
- 238000001391 atomic fluorescence spectroscopy Methods 0.000 description 3
- 239000003153 chemical reaction reagent Substances 0.000 description 3
- 150000001875 compounds Chemical class 0.000 description 3
- 238000009826 distribution Methods 0.000 description 3
- 239000007788 liquid Substances 0.000 description 3
- 238000001819 mass spectrum Methods 0.000 description 3
- 239000000203 mixture Substances 0.000 description 3
- 230000005855 radiation Effects 0.000 description 3
- 241000208293 Capsicum Species 0.000 description 2
- 235000002566 Capsicum Nutrition 0.000 description 2
- 239000002253 acid Substances 0.000 description 2
- 238000013459 approach Methods 0.000 description 2
- 238000003556 assay Methods 0.000 description 2
- 239000001390 capsicum minimum Substances 0.000 description 2
- 238000004587 chromatography analysis Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000004043 dyeing Methods 0.000 description 2
- 238000002474 experimental method Methods 0.000 description 2
- 235000013305 food Nutrition 0.000 description 2
- 238000004128 high performance liquid chromatography Methods 0.000 description 2
- 238000002329 infrared spectrum Methods 0.000 description 2
- 238000004811 liquid chromatography Methods 0.000 description 2
- 238000004895 liquid chromatography mass spectrometry Methods 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 229920003023 plastic Polymers 0.000 description 2
- 239000004033 plastic Substances 0.000 description 2
- 230000035945 sensitivity Effects 0.000 description 2
- FFRBMBIXVSCUFS-UHFFFAOYSA-N 2,4-dinitro-1-naphthol Chemical compound C1=CC=C2C(O)=C([N+]([O-])=O)C=C([N+]([O-])=O)C2=C1 FFRBMBIXVSCUFS-UHFFFAOYSA-N 0.000 description 1
- HLLSOEKIMZEGFV-UHFFFAOYSA-N 4-(dibutylsulfamoyl)benzoic acid Chemical compound CCCCN(CCCC)S(=O)(=O)C1=CC=C(C(O)=O)C=C1 HLLSOEKIMZEGFV-UHFFFAOYSA-N 0.000 description 1
- 206010007269 Carcinogenicity Diseases 0.000 description 1
- 244000068988 Glycine max Species 0.000 description 1
- 235000010469 Glycine max Nutrition 0.000 description 1
- 244000046052 Phaseolus vulgaris Species 0.000 description 1
- 235000010627 Phaseolus vulgaris Nutrition 0.000 description 1
- 230000002378 acidificating effect Effects 0.000 description 1
- 230000002411 adverse Effects 0.000 description 1
- XAGFODPZIPBFFR-UHFFFAOYSA-N aluminium Chemical compound [Al] XAGFODPZIPBFFR-UHFFFAOYSA-N 0.000 description 1
- 229910052782 aluminium Inorganic materials 0.000 description 1
- 239000004411 aluminium Substances 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007670 carcinogenicity Effects 0.000 description 1
- 231100000260 carcinogenicity Toxicity 0.000 description 1
- 239000013078 crystal Substances 0.000 description 1
- 238000013016 damping Methods 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 239000000975 dye Substances 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 230000005284 excitation Effects 0.000 description 1
- 239000012530 fluid Substances 0.000 description 1
- 235000021393 food security Nutrition 0.000 description 1
- 239000012634 fragment Substances 0.000 description 1
- 235000015203 fruit juice Nutrition 0.000 description 1
- 125000000524 functional group Chemical group 0.000 description 1
- 239000011521 glass Substances 0.000 description 1
- 238000000589 high-performance liquid chromatography-mass spectrometry Methods 0.000 description 1
- 239000004615 ingredient Substances 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 150000002500 ions Chemical class 0.000 description 1
- 239000010985 leather Substances 0.000 description 1
- 238000001294 liquid chromatography-tandem mass spectrometry Methods 0.000 description 1
- 239000002932 luster Substances 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000004949 mass spectrometry Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 235000013622 meat product Nutrition 0.000 description 1
- 239000011812 mixed powder Substances 0.000 description 1
- 239000012046 mixed solvent Substances 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 238000002203 pretreatment Methods 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 239000012925 reference material Substances 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000000926 separation method Methods 0.000 description 1
- STZCRXQWRGQSJD-UHFFFAOYSA-M sodium;4-[[4-(dimethylamino)phenyl]diazenyl]benzenesulfonate Chemical compound [Na+].C1=CC(N(C)C)=CC=C1N=NC1=CC=C(S([O-])(=O)=O)C=C1 STZCRXQWRGQSJD-UHFFFAOYSA-M 0.000 description 1
- 239000002904 solvent Substances 0.000 description 1
- 238000004611 spectroscopical analysis Methods 0.000 description 1
- 238000007619 statistical method Methods 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 239000000758 substrate Substances 0.000 description 1
- 239000004753 textile Substances 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
- G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light
- G01N21/3563—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light for analysing solids; Preparation of samples therefor
Abstract
The invention discloses a method for detecting content of acid orange added in chilli powder. The method comprises the following steps: (1) chilli powder with different contents of acid orange are used as test samples, and infrared absorption spectrum of each test sample in a set wave range is obtained; (2) according to the infrared absorption spectrum of the test sample, transmissivity of characteristic absorption peak of acid orange is extracted, and absorbance of each characteristic absorption peak is obtained; (3) a linear regression model between the acid orange content and each absorbance is established; (4) absorbance of a sample to be measured at the characteristic absorption peak of acid orange is obtained, and according to the linear regression model, the content of acid orange in the sample to be measured is obtained by calculation. The method has the advantages of simplicity, rapid and high accuracy.
Description
Technical field
The present invention relates to the detection of acid orange content, particularly relate to acid orange in a kind of chilli powder and add the detection method of content.
Background technology
Acid Orange II has another name called acid golden yellow II, gold orange II or acid gorgeous orange GR, and popular name Acid orange Ⅱ, is a kind of azo Prof. Du Yucang dyestuff, is mainly used in the dyeing of textile, leather and fur products, plastics and woodwork, has strong carcinogenicity.China's clear stipulaties, Acid Orange II is non-edible material from soybeans, forbids adding in food using.But because it has lovely luster, good level-dyeing property, lower-price characteristic, production and the processing of capsicum and goods thereof is often used for by illegal businessman, bring great hidden danger to the food security of people, therefore, be necessary the method setting up Acid Orange II in a kind of quick detection capsicum and goods thereof.
At present, high performance liquid chromatography, thin-layered chromatography, fluorescent spectrometry and Liquid Chromatography/Mass Spectrometry is had to the assay method of Acid Orange II in the food such as bean product, meat products, fruit juice.But Acid Orange II mensuration report is still rare in chilli products.
High performance liquid chromatography is a chromatographic important branch, take liquid as mobile phase, adopt high pressure transfusion system, the mobile phase such as mixed solvent, damping fluid of the single solvent or different proportion with opposed polarity is pumped into the chromatographic column that Stationary liquid is housed, in post each composition separated after, enter detecting device to detect, thus realize the analysis to sample.The advantage of the method is that separation efficiency is high, and selectivity is good, and detection sensitivity is high, operation automation, applied range, but analysis cost is high, does not have abundant experiment experience to be difficult to once complete detection.
Thin-layered chromatography (TLC) is coated on glass plate, plastics or aluminium substrate by suitable Stationary liquid, becomes a thin uniform layer.Until point sample, launch after, the Rf value (Rf) according to Rf value (Rf) and the suitable tester chromatogram of gained by the same method compares, in order to carry out the method for assay.The method is simple to operate, and colour developing is convenient, but the poor reproducibility of the method.
The principle of atomic fluorescence spectrometry (AFS) is that atomic vapour absorbs the optical radiation of certain wavelength and is excited, excited atom launches the optical radiation of certain wavelength subsequently by excitation process, under certain experiment condition, its radiation intensity is directly proportional to atom content.The features such as atomic fluorescence spectrometry has highly sensitive, and selectivity is strong, and the few and method of sample size is simple; But it is extensive not enough that its weak point is range of application.
LC-MS (HPLC-MS) be LC-MS-MS again, and it is using liquid chromatography as piece-rate system, and mass spectrum is detection system.Sample is separated with mobile phase in mass spectrum part, and after being ionized, separated by mass number by fragment ion through mass spectrographic mass analyzer, device obtains mass spectrogram after testing.LC-MS embodies the complementation of chromatogram and mass spectrum advantage, by the high separating power of chromatogram to complex sample, with MS, there is high selectivity, high sensitivity and the advantages of relative molecular mass and structural information can be provided, but it is difficult to the structural information obtaining material, main dependence and reference material contrast to judge unknown material, also will be analyzed by other approach the detection without ultraviolet absorption compound.
Above method all needs to add various chemical reagent and then from sample, isolate determinand to detect, but operation steps more complicated in analytic process, and influence factor is more, so accurately cannot determine that the material detected necessarily derives from former state originally.And need to use a large amount of reagent when detecting in order to upper method and carry out pre-treatment, process is loaded down with trivial details, cannot accomplish quick detection.
Summary of the invention
Acid orange in a kind of chilli powder is the object of the present invention is to provide to add the detection method of content, the advantage that the method has simply, quick, accuracy is high.。
For achieving the above object, the invention provides following technical scheme:
In chilli powder, acid orange adds a detection method for content, comprising:
(1) using the chilli powder of different acid orange content as test sample book, the infrared absorption spectrum of each test sample book in setting wave-number range is obtained;
(2) according to the infrared absorption spectrum of test sample book, extract the transmissivity of the characteristic absorption peak of acid orange, obtain the absorbance of each characteristic absorption peak;
(3) linear regression model (LRM) between acid orange content and each absorbance is set up;
(4) obtain the absorbance of sample to be tested at the characteristic absorption peak place of acid orange, according to described linear regression model (LRM), calculate the content of acid orange in testing sample.
Infra-red sepectrometry is in fact a kind of analytical approach determining material molecular structure and discriminating compound according to information such as the interatomic Relative Vibration of intramolecule and molecule rotation.The various groups of ingredient have oneself specific infrared signature absorption peak, can realize accordingly " fingerprint verification " of some chemical bond and functional group in molecule.Infrared spectrum, as the means of testing of molecular level, is easy to the Components identification analysis realizing COMPLEX MIXED objects system.
Multiple linear regression analysis is used to dependence between research dependent variable and one group of independent variable, by extracting the absorbance at the infrared signature absorption peak place of acid orange, set up the linear regression model (LRM) between acid orange content and each absorbance, then bring each corresponding absorbance of testing sample into content that linear regression model (LRM) just can draw the acid orange in sample to be tested.
This detection method step is few, simple to operate, avoids the Sample Preparation Procedure that classic method is loaded down with trivial details, consuming time, achieves Aulomatizeted Detect, and speed is fast, and precision is high; And Sample Preparation Procedure can not consume a large amount of chemical reagent as traditional detection, therefore can not cause adverse effect to environment, environmental protection.
In step (1), by chilli powder, as detected object, each detected object and acid orange are mixed according to a certain ratio, prepare the test sample book of one group of acid orange content distribution gradient.
Infrared spectrum separately through a certain test sample book is difficult to the characteristic absorption peak determining acid orange accurately, by carrying out statistical analysis to large sample in the present invention, can find out the characteristic absorption peak of acid orange accurately.Usual sample size is more, and it is more accurate that characteristic absorption peak judges, but calculated amount can be caused so large, and efficiency is low.Therefore the number needs of test sample book will be considered according to actual conditions, can not be too high, can not be too low.In addition, can be divided into some groups (being generally 5 ~ 7 groups) for ease of realizing all test sample books, the acid orange content of each group is identical, and the acid orange content between different groups carries out gradient setting.
As preferably, the quantity of test sample book is 50 ~ 100; More preferably 100.
Obtain the infrared absorption spectrum of each test sample book in setting wave-number range, as preferably, setting wave-number range is 400 ~ 4000cm
-1, in chilli powder, the infrared signature absorption peak of acid orange is distributed in this wave-number range.
According to the infrared absorption spectrum of all test sample books, extract the characteristic absorption peak of acid orange, as preferably, the number of the characteristic absorption peak of the acid orange of extraction is 16.
As preferably, the characteristic absorption peak of the acid orange of extraction is respectively at 453cm
-1, 461cm
-1, 466cm
-1, 489cm
-1, 504cm
-1, 516cm
-1, 1533cm
-1, 1582cm
-1, 1797cm
-1, 1967cm
-1, 2428cm
-1, 2433cm
-1, 2437cm
-1, 3562cm
-1, 3767cm
-1and 3874cm
-1place.
In order to the convenience calculated, the transmissivity of each characteristic absorption peak is converted to absorbance, according to formula, transmissivity is converted to absorbance, described formula is:
Wherein, A is absorbance, and T is transmissivity.
By linear regression model (LRM) between the absorbance at acid orange content and each characteristic absorption peak place in test sample book, as preferably, multi-element linear regression method matching is adopted to set up linear regression model (LRM).
Described linear regression model (LRM) is:
Y＝0.015345-0.0186λ
1+0.0159λ
2+0.0154λ
3+0.0225λ
4-0.0452λ
5+0.0265λ
6+0.25λ
7-0.205λ
8-0.0938λ
9-0.159λ
10+0.11λ
11-0.0859λ
12+0.102λ
13+0.143λ
14-0.28λ
15+0.233λ
16
Wherein, Y is acid orange content in chilli powder, and unit is mg/g; λ
1, λ
2, λ
3, λ
4, λ
5, λ
6, λ
7, λ
8, λ
9, λ
10, λ
11, λ
12, λ
13, λ
14, λ
15and λ
16be respectively 453cm
-1, 461cm
-1, 466cm
-1, 489cm
-1, 504cm
-1, 516cm
-1, 1533cm
-1, 1582cm
-1, 1797cm
-1, 1967cm
-1, 2428cm
-1, 2433cm
-1, 2437cm
-1, 3562cm
-1, 3767cm
-1and 3874cm
-1the absorbance at place.
Bring each corresponding absorbance of testing sample into content that linear regression model (LRM) just can draw the acid orange in sample to be tested.
Utilize the acid orange content of linear regression model (LRM) of the present invention to some samples to predict, the matching of unitary once linear is carried out, the related coefficient (R of this matched curve to the predicted value of each sample and actual value
2) reaching 0.940, root-mean-square error (RMSE) reaches 0.069, illustrates that linear regression model (LRM) of the present invention can realize effective detection of acid orange content in chilli powder.
Compared with prior art, beneficial effect of the present invention is:
(1) simple to operate, avoid the extraction of convention acidic orange content measurement, the Sample Preparation Procedure loaded down with trivial details, consuming time such as to clear up, in fast and effeciently Real-Time Monitoring chilli powder, the content of acid orange provides effective means, have a good application prospect;
(2) system architecture is simple, be easy to operation, and system maintenance is with low cost, substantially realizes Aulomatizeted Detect.
Accompanying drawing explanation
Fig. 1 is to the scatter diagram between the predicted value of acid orange content in sample and its actual value by linear regression model (LRM) of the present invention.
Embodiment
Below in conjunction with drawings and Examples, the present invention is described in further detail.
1, the foundation of linear regression model (LRM):
(1) chilli powder is mixed according to a certain ratio with acid orange, be mixed with the test sample book of acid orange content distribution gradient.
Take 0mg, 1mg, 2mg, 4mg, 8mg acid orange respectively, add 10g chilli powder respectively again, mix, obtain the mixed-powder of 0mg/g (acid orange quality/chilli powder quality), 0.1mg/g, 0.2mg/g, 0.4mg/g, 0.8mg/g ratio, be mixed with the detected object of 5 acid orange content distribution gradient.Each contents level gets 20 samples, and 5 detected objects totals obtain 100 test sample books.
By each test sample book and potassium bromide crystal (KBr) according to 1: 49 mass ratio mix, fully grind, compressing tablet.
(2) to the compressing tablet of each test sample book at 400 ~ 4000cm
-1carry out infrared scan in wave-number range, obtain transmissivity, and according to formula, transmissivity (T) is converted to absorbance (A), formula is:
According to the absorbance of all test sample books, extract the wave number at 16 characteristic absorption peak places of acid orange, be respectively 453cm
-1, 461cm
-1, 466cm
-1, 489cm
-1, 504cm
-1, 516cm
-1, 1533cm
-1, 1582cm
-1, 1797cm
-1, 1967cm
-1, 2428cm
-1, 2433cm
-1, 2437cm
-1, 3562cm
-1, 3767cm
-1and 3874cm
-1.
(3) adopt polynary once linear regretional analysis to set up linear regression model (LRM) in chilli powder between acid orange content and the absorbance of each characteristic absorption peak, this linear regression model (LRM) is:
Y＝0.015345-0.0186λ
1+0.0159λ
2+0.0154λ
3+0.0225λ
4-0.0452λ
5+0.0265λ
6+0.25λ
7-0.205λ
8-0.0938λ
9-0.159λ
10+0.11λ
11-0.0859λ
12+0.102λ
13+0.143λ
14-0.28λ
15+0.233λ
16
Wherein, Y is acid orange content in chilli powder, and unit is mg/g; λ
1, λ
2, λ
3, λ
4, λ
5, λ
6, λ
7, λ
8, λ
9, λ
10, λ
11, λ
12, λ
13, λ
14, λ
15and λ
16be respectively 453cm
-1, 461cm
-1, 466cm
-1, 489cm
-1, 504cm
-1, 516cm
-1, 1533cm
-1, 1582cm
-1, 1797cm
-1, 1967cm
-1, 2428cm
-1, 2433cm
-1, 2437cm
-1, 3562cm
-1, 3767cm
-1and 3874cm
-1the absorbance at place.
Obtain sample to be tested after the absorbance at the characteristic absorption peak place of acid orange, according to described linear regression model (LRM), the content of acid orange in testing sample can be calculated.
2, the inspection of linear regression model (LRM):
Utilize the compound method of test sample book, preparation acid orange content is respectively 5 groups of test samples of 0mg/g (acid orange quality/chilli powder quality), 0.1mg/g, 0.2mg/g, 0.4mg/g, 0.8mg/g, often group detects the sample number of sample is 20, amounts to 100 test samples.
The detection method of acid orange content in above-mentioned chilli powder is utilized to predict the content of acid orange in each test samples, and carry out the matching of unitary once linear by between the predicted value of acid orange content in each test samples and its actual value, the related coefficient (R of matched curve
2) reaching 0.940, root-mean-square error (RMSE) reaches 0.069, illustrates that linear regression model (LRM) of the present invention can realize effective detection of acid orange content in chilli powder.
Scatter diagram in test samples between the predicted value of acid orange content and its actual value as shown in Figure 1.
Claims (8)
1. in chilli powder, acid orange adds a detection method for content, it is characterized in that, comprising:
(1) using the chilli powder of different acid orange content as test sample book, the infrared absorption spectrum of each test sample book in setting wave-number range is obtained;
(2) according to the infrared absorption spectrum of test sample book, extract the transmissivity of the characteristic absorption peak of acid orange, obtain the absorbance of each characteristic absorption peak;
(3) linear regression model (LRM) between acid orange content and each absorbance is set up;
(4) obtain the absorbance of sample to be tested at the characteristic absorption peak place of acid orange, according to described linear regression model (LRM), calculate the content of acid orange in testing sample.
2. in chilli powder according to claim 1, acid orange adds the detection method of content, and it is characterized in that, setting wave-number range is 400 ~ 4000cm
-1.
3. in chilli powder according to claim 1, acid orange adds the detection method of content, and it is characterized in that, the number of the characteristic absorption peak of the acid orange of extraction is 16.
4. in chilli powder according to claim 3, acid orange adds the detection method of content, and it is characterized in that, the characteristic absorption peak of the acid orange of extraction is respectively at 453cm
-1, 461cm
-1, 466cm
-1, 489cm
-1, 504cm
-1, 516cm
-1, 1533cm
-1, 1582cm
-1, 1797cm
-1, 1967cm
-1, 2428cm
-1, 2433cm
-1, 2437cm
-1, 3562cm
-1, 3767cm
-1and 3874cm
-1place.
5. in chilli powder according to claim 1, acid orange adds the detection method of content, it is characterized in that, adopts multi-element linear regression method matching to set up linear regression model (LRM).
6. in chilli powder according to claim 5, acid orange adds the detection method of content, and it is characterized in that, described linear regression model (LRM) is:
Y＝0.015345-0.0186λ
1+0.0159λ
2+0.0154λ
3+0.0225λ
4-0.0452λ
5
+0.0265λ
6+0.25λ
7-0.205λ
8-0.0938λ
9-0.159λ
10+0.11λ
11
-0.0859λ
12+0.102λ
13+0.143λ
14-0.28λ
15+0.233λ
16
Wherein, Y is acid orange content in chilli powder, and unit is mg/g; λ
1, λ
2, λ
3, λ
4, λ
5, λ
6, λ
7, λ
8, λ
9, λ
10, λ
11, λ
12, λ
13, λ
14, λ
15and λ
16be respectively 453cm
-1, 461cm
-1, 466cm
-1, 489cm
-1, 504cm
-1, 516cm
-1, 1533cm
-1, 1582cm
-1, 1797cm
-1, 1967cm
-1, 2428cm
-1, 2433cm
-1, 2437cm
-1, 3562cm
-1, 3767cm
-1and 3874cm
-1the absorbance at place.
7. in chilli powder according to claim 1, acid orange adds the detection method of content, it is characterized in that, the method obtaining absorbance is: according to formula, transmissivity is converted to absorbance, described formula is:
Wherein, A is absorbance, and T is transmissivity.
8. in chilli powder according to claim 1, acid orange adds the detection method of content, and it is characterized in that, the quantity of test sample book is 50 ~ 100.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510851487.9A CN105486656A (en) | 2015-11-27 | 2015-11-27 | Method for detecting content of acid orange added in chilli powder |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510851487.9A CN105486656A (en) | 2015-11-27 | 2015-11-27 | Method for detecting content of acid orange added in chilli powder |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN105486656A true CN105486656A (en) | 2016-04-13 |
Family
ID=55673780
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510851487.9A Pending CN105486656A (en) | 2015-11-27 | 2015-11-27 | Method for detecting content of acid orange added in chilli powder |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105486656A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106323906A (en) * | 2016-10-31 | 2017-01-11 | 浙江大学 | Quick detection method of total flavone content of different medicinal parts of clematis |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2007225293A (en) * | 2006-02-21 | 2007-09-06 | Tokyo Univ Of Agriculture & Technology | Method and apparatus for specifying agriculture, forestry and fishery product |
| CN102435568A (en) * | 2011-11-23 | 2012-05-02 | 浙江大学 | Method for quick and nondestructive detection of dry matter content in tea based on 11 characteristic wavelengths |
| CN102507480A (en) * | 2011-11-23 | 2012-06-20 | 浙江大学 | Method for nondestructively and quickly measuring moisture content of tea leaf based on 12 characteristic wavelengths |
| CN103954586A (en) * | 2014-05-13 | 2014-07-30 | 泰顺派友科技服务有限公司 | Method for rapidly predicting content of soil organic matters based on eleven spectrum wavelet coefficients |
| CN104316489A (en) * | 2014-08-18 | 2015-01-28 | 浙江百山祖生物科技有限公司 | Method of detecting adulteration of ganoderma lucidum extract product by near infrared spectroscopy |
-
2015
- 2015-11-27 CN CN201510851487.9A patent/CN105486656A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2007225293A (en) * | 2006-02-21 | 2007-09-06 | Tokyo Univ Of Agriculture & Technology | Method and apparatus for specifying agriculture, forestry and fishery product |
| CN102435568A (en) * | 2011-11-23 | 2012-05-02 | 浙江大学 | Method for quick and nondestructive detection of dry matter content in tea based on 11 characteristic wavelengths |
| CN102507480A (en) * | 2011-11-23 | 2012-06-20 | 浙江大学 | Method for nondestructively and quickly measuring moisture content of tea leaf based on 12 characteristic wavelengths |
| CN103954586A (en) * | 2014-05-13 | 2014-07-30 | 泰顺派友科技服务有限公司 | Method for rapidly predicting content of soil organic matters based on eleven spectrum wavelet coefficients |
| CN104316489A (en) * | 2014-08-18 | 2015-01-28 | 浙江百山祖生物科技有限公司 | Method of detecting adulteration of ganoderma lucidum extract product by near infrared spectroscopy |
Non-Patent Citations (1)
| Title |
|---|
| 潘圆媛: "辣椒品质傅里叶近红外光谱无损检测研究", 《中国优秀硕士学位论文全文数据库 工程科技Ⅰ辑（月刊）》 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106323906A (en) * | 2016-10-31 | 2017-01-11 | 浙江大学 | Quick detection method of total flavone content of different medicinal parts of clematis |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN101620206B (en) | Method for detecting ethyl carbamate in yellow wine | |
| CN104297407A (en) | Ultra-high performance liquid chromatographic determination method for content of carotenoid in wheat | |
| CN105424640A (en) | Method for detecting lead chrome green addition content of tea leaves | |
| CN105241861A (en) | Method for rapidly and simultaneously detecting ten adulterated components in lipid lowering Chinese patent medicine | |
| CN103675147B (en) | Method for rapidly determining caffeine in drink | |
| CN103383352A (en) | Near infrared transmitted spectrum detection method of naringin and/or neohesperidin | |
| CN110243990A (en) | The measuring method of illegal additive in a kind of cosmetics | |
| CN104914182A (en) | Method for rapidly detecting four vitamins E in white spirit simultaneously by utilizing ultra performanceconvergence chromatography | |
| CN101408501A (en) | Method for quantitatively detecting DNA base by using near-infrared spectrum-partial least squares method | |
| CN105486794A (en) | Method for detecting banned dye in printing ink | |
| CN113281440B (en) | UHPLC-Q-Orbitrap MS-based method for screening and quantifying 30 synthetic dyes and application | |
| CN106153785A (en) | A kind of online sample introduction of aflatoxin analyzes method | |
| CN101071104B (en) | Method for determining chloride content in tobacco | |
| CN112461973B (en) | Novel method for detecting ochratoxin A in red wine based on hexafluorobutanol as extractant | |
| CN105300918B (en) | The new method of infrared spectrum combination Chemical Measurement qualitative recognition composite explosives composition | |
| CN105486656A (en) | Method for detecting content of acid orange added in chilli powder | |
| CN105092557A (en) | Method for utilizing Raman spectrum to rapidly detect free amino acid content of yellow rice wine | |
| CN108152425A (en) | A kind of method of high performance liquid chromatography detection sesame oil lignanoid | |
| CN101776662A (en) | Method for simultaneously determining tryptophan, kynurenine and kynurenicacid by using high performance liquid chromatography-fluorescence method | |
| CN109030410B (en) | Construction method of royal jelly near-infrared quantitative correction model and royal jelly detection method | |
| CN110780002A (en) | High-efficiency low-cost detection method for quantifying essential oil components | |
| CN111189954A (en) | Method for detecting drugs in hair by TLC-SERS | |
| CN103235052B (en) | Determination method for 2,4-dinitrophenol in dry food packaging paper | |
| CN102507830B (en) | High performance liquid chromatograph method for measuring content of Quzhazhigan in Rheum lhasaense | |
| CN106872629B (en) | A kind of method of three nitrogen amidine contents in measurement dairy products |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20160413 |