CN105300919A - Method for quickly detecting main ingredients in Baijiu by utilizing near-infrared spectrum - Google Patents
Method for quickly detecting main ingredients in Baijiu by utilizing near-infrared spectrum Download PDFInfo
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- CN105300919A CN105300919A CN201410251648.6A CN201410251648A CN105300919A CN 105300919 A CN105300919 A CN 105300919A CN 201410251648 A CN201410251648 A CN 201410251648A CN 105300919 A CN105300919 A CN 105300919A
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- baijiu
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- infrared spectrum
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Abstract
The invention discloses a method for quickly detecting main ingredients in Baijiu by utilizing near-infrared spectrum. The method is characterized by comprising the following steps: (1) collecting Baijiu samples, numbering the Baijiu samples, and carrying out sealed refrigeration; (2) collection of the near-infrared spectrums: based on a workflow, setting a standard operating procedure (SOP) and an analysis method, and collecting transmitted spectrums of the Baijiu samples; (3) building of a model: building a mathematical model of data of the near-infrared spectrums and data of the same sample measured according to a standard method by using TQ Analyst spectrum analysis chemometrics software; (4) verification of the model: measuring a new Baijiu sample on a near-infrared instrument according to a method completely the same as that in the step 2, measuring the new Baijiu sample with the model built in the step 3, and comparing the result with a result measured according to the national 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 TQAnalyst 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 TQAnalyst7.1, 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 (MultiLinearRegression, MLR), stepwise multiple linear regression (Step-wiseMultiLinearRgression, SMLR) principal component regression (PrincipalComponentRegression, PCR), partial least squares regression (PartialLeastSquares, 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 TQAnalyst 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 |
|---|---|---|---|
| CN201410251648.6A CN105300919A (en) | 2014-06-09 | 2014-06-09 | Method for quickly detecting main ingredients in Baijiu by utilizing near-infrared spectrum |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201410251648.6A CN105300919A (en) | 2014-06-09 | 2014-06-09 | Method for quickly detecting main ingredients in Baijiu by utilizing near-infrared spectrum |
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| CN105300919A true CN105300919A (en) | 2016-02-03 |
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| CN201410251648.6A Pending CN105300919A (en) | 2014-06-09 | 2014-06-09 | Method for quickly detecting main ingredients in Baijiu by utilizing near-infrared spectrum |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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 |
| CN110672546A (en) * | 2019-10-11 | 2020-01-10 | 四川长虹电器股份有限公司 | Vinasse model modeling method based on portable near-infrared spectrometer |
-
2014
- 2014-06-09 CN CN201410251648.6A patent/CN105300919A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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 |
| CN110672546A (en) * | 2019-10-11 | 2020-01-10 | 四川长虹电器股份有限公司 | Vinasse model modeling method based on portable near-infrared spectrometer |
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Application publication date: 20160203 |