CN104949934A - Method for rapidly detecting principal component in white spirit by utilizing near infrared spectrum - Google Patents
Method for rapidly detecting principal component in white spirit by utilizing near infrared spectrum Download PDFInfo
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- CN104949934A CN104949934A CN201410125244.2A CN201410125244A CN104949934A CN 104949934 A CN104949934 A CN 104949934A CN 201410125244 A CN201410125244 A CN 201410125244A CN 104949934 A CN104949934 A CN 104949934A
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- near infrared
- infrared spectrum
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Abstract
The invention discloses a method for rapidly detecting a principal component in white spirit by utilizing a near infrared spectrum. The method is characterized by comprising the following steps: (1) collecting a white spirit sample, numbering, sealing and refrigerating; (2) acquiring the near infrared spectrum, namely setting a standard operating procedure (SOP) and an analysis method based on Workflow, and acquiring the transmitted spectrum of the white spirit sample; (3) establishing a model, namely with TQAnalyst spectral analysis chemometrics software, establishing a mathematical model between data of the same sample measured the near infrared spectrum and the standard method; and (4) verifying the model, namely measuring a new white spirit sample on a near-infrared instrument according to a method which is identical to that of the step 2, measuring by using the model established in the step 4, and comparing the result with a measurement result of an international standard method.
Description
Technical field
The present invention relates to the detection method of principal ingredient in a kind of white wine, particularly a kind of method adopting near infrared spectrum to detect principal ingredient in white wine fast.
Background technology
The complex chemical composition of white wine, measure these indexs, need to relate to complicated chemical method, as multiple instruments such as liquid chromatograph, ultraviolet-visible pectrophotometer, the gentle baking ovens in sky, sample analysis must carry out in laboratory conditions, and examining report needs the time of several days just can obtain.
Summary of the invention
The technical problem to be solved in the present invention is: provide a kind of method adopting near infrared spectrum to detect principal ingredient in white wine fast, to solve the problem of prior art length detection time.
Technical scheme of the present invention is: utilize near infrared spectrum to detect the method for principal ingredient in white wine fast, comprise following steps:
(1) Wine Sample is collected, after numbering, sealing refrigeration;
(2) collection of near infrared spectrum: based on Workflow established standards workflow (SOP) and analytical approach, gathers Wine Sample transmitted light spectrogram;
(3) foundation of model: use TQ Analyst spectral analysis chemo metric software, sets up the mathematical model between data that near infrared light spectrogram and standard method measured same sample;
(4) checking of model: according to the identical method of the 2nd step, at nir instrument
The Wine Sample that upper measurement is new, and measure with the model that the 4th step establishes, compare with the result measured according to GB standard method.
In described step (2), acquisition parameter is: resolution 7cm-1, scanning times 50 times, spectral range 10000-3800cm-1.
Building mathematical model algorithm used in described step (4) is partial least square method.
Beneficial effect of the present invention: utilize method of the present invention can detect the composition of sample fast, and this method be based upon standard detecting method basis on, so its testing result is accurately true and reliable.
Embodiment
(1) preparation of white wine sample: have collected Wine Sample, after numbering, sealing refrigeration.
(2) collection of near infrared spectrum: based on Workflow established standards workflow (SOP) and analytical approach, gathers Wine Sample transmitted light spectrogram.Acquisition parameter is: resolution 7cm-1, scanning times 50 times, spectral range 10000-3800cm-1.
(3) foundation of model: use special chemo metric software TQ Analyst 7.1, sets up the mathematical model between data that near infrared light spectrogram and standard method measured; Modeling algorithm used selects PLS (offset minimum binary).The foundation of near infrared spectra quantitative models belongs to the category of Chemical Measurement.In Near-Infrared Spectra for Quantitative Analysis, the Multivariate Correction algorithm the most often used has multiple linear regression (Multi Linear Regression, MLR), stepwise multiple linear regression (Step-wise Multi Linear Rgression, SMLR) principal component regression (Principal Component Regression, PCR), partial least squares regression (Partial Least Squares, PLS) etc.Early stage near infrared spectrum quantitative examination more often uses MLR method, and because spectrometer at that time adopts optical filter light splitting, number of wavelengths is relatively less.When near infrared spectrometer of new generation can after the whole wave band of near infrared gathers spectrum, PCR and PLS method comparatively MLR method acquisition is applied widely.
The advantage of partial least squares regression (PLS) is: can use full spectrum or partial spectrum data; Data matrix decomposes and returns mutual combination, and the proper vector obtained is directly relevant to properties of samples; Model is more sane; Compensation can be made to the interference brought due to light scattering and other component; Go for complicated analysis system.Shortcoming is: model quality is easily subject to the impact of singular point; Model process of establishing is more complicated, more abstract, comparatively indigestibility.
(4) checking of model: according to the identical method of the 2nd step, at nir instrument
The Wine Sample that upper measurement is new, and measure with the model that the 4th step establishes, compare with the result measured according to GB standard method.Experimental result shows, the result utilizing this model measurement result out and standard method to measure is coincide.
Claims (3)
1. utilize near infrared spectrum to detect a method for principal ingredient in white wine fast, it is characterized in that: comprise following steps:
(1) Wine Sample is collected, after numbering, sealing refrigeration;
(2) collection of near infrared spectrum: based on Workflow established standards workflow (SOP) and analytical approach, gathers Wine Sample transmitted light spectrogram;
(3) foundation of model: use TQ Analyst spectral analysis chemo metric software, sets up the mathematical model between data that near infrared light spectrogram and standard method measured same sample;
(4) checking of model: according to the identical method of the 2nd step, at nir instrument
The Wine Sample that upper measurement is new, and measure with the model that the 4th step establishes, compare with the result measured according to GB standard method.
2. the method utilizing near infrared spectrum to detect principal ingredient in white wine fast according to claim 1, is characterized in that: in described step (2), acquisition parameter is: resolution 7cm-1, scanning times 50 times, spectral range 10000-3800cm-1.
3. the method utilizing near infrared spectrum to detect principal ingredient in white wine fast according to claim 1, is characterized in that: building mathematical model algorithm used in described step (4) is partial least square method.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410125244.2A CN104949934A (en) | 2014-03-31 | 2014-03-31 | Method for rapidly detecting principal component in white spirit by utilizing near infrared spectrum |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN201410125244.2A CN104949934A (en) | 2014-03-31 | 2014-03-31 | Method for rapidly detecting principal component in white spirit by utilizing near infrared spectrum |
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| Publication Number | Publication Date |
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| CN104949934A true CN104949934A (en) | 2015-09-30 |
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| CN201410125244.2A Pending CN104949934A (en) | 2014-03-31 | 2014-03-31 | Method for rapidly detecting principal component in white spirit by utilizing near infrared spectrum |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107132200A (en) * | 2017-05-17 | 2017-09-05 | 劲牌有限公司 | Discerned the false from the genuine using near-infrared spectrum technique the method for Jin Liquor |
| CN107796783A (en) * | 2017-10-17 | 2018-03-13 | 天津工业大学 | A kind of quick, the accurate discrimination method of fragrant liquor |
Citations (4)
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|---|---|---|---|---|
| CN101216419A (en) * | 2007-12-28 | 2008-07-09 | 陈郁 | Method for quickly detecting yellow wine quality index |
| WO2011051166A1 (en) * | 2009-11-02 | 2011-05-05 | Universität Für Bodenkultur Wien | Method for determining polycyclic aromatic hydrocarbon contaminant concentration |
| CN102175638A (en) * | 2011-01-05 | 2011-09-07 | 浙江科技学院 | Device for rapidly and nondestructively detecting component content of yellow rice wine |
| CN103353446A (en) * | 2013-07-23 | 2013-10-16 | 安徽古井贡酒股份有限公司 | Method of near-infrared rapid detection of physicochemical indexes in wine |
-
2014
- 2014-03-31 CN CN201410125244.2A patent/CN104949934A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101216419A (en) * | 2007-12-28 | 2008-07-09 | 陈郁 | Method for quickly detecting yellow wine quality index |
| WO2011051166A1 (en) * | 2009-11-02 | 2011-05-05 | Universität Für Bodenkultur Wien | Method for determining polycyclic aromatic hydrocarbon contaminant concentration |
| CN102175638A (en) * | 2011-01-05 | 2011-09-07 | 浙江科技学院 | Device for rapidly and nondestructively detecting component content of yellow rice wine |
| CN103353446A (en) * | 2013-07-23 | 2013-10-16 | 安徽古井贡酒股份有限公司 | Method of near-infrared rapid detection of physicochemical indexes in wine |
Non-Patent Citations (2)
| Title |
|---|
| 于海燕: "黄酒品质和酒龄的近红外分析方法研究", 《中国博士学位论文全文数据库 工程科技Ⅰ辑》 * |
| 张玲等: "基于偏最小二乘（PLS）法白酒中乙醇含量的近红外检测", 《食品工业》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107132200A (en) * | 2017-05-17 | 2017-09-05 | 劲牌有限公司 | Discerned the false from the genuine using near-infrared spectrum technique the method for Jin Liquor |
| CN107796783A (en) * | 2017-10-17 | 2018-03-13 | 天津工业大学 | A kind of quick, the accurate discrimination method of fragrant liquor |
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Application publication date: 20150930 |
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