CN107167447A - The method for blending apple fumet content in cider is calculated using near-infrared spectrum technique - Google Patents
The method for blending apple fumet content in cider is calculated using near-infrared spectrum technique Download PDFInfo
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- CN107167447A CN107167447A CN201710374976.9A CN201710374976A CN107167447A CN 107167447 A CN107167447 A CN 107167447A CN 201710374976 A CN201710374976 A CN 201710374976A CN 107167447 A CN107167447 A CN 107167447A
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- 238000000034 method Methods 0.000 title claims abstract description 37
- 235000019987 cider Nutrition 0.000 title claims abstract description 34
- 238000002329 infrared spectrum Methods 0.000 title claims abstract description 29
- 238000002156 mixing Methods 0.000 title claims abstract description 11
- 238000001228 spectrum Methods 0.000 claims abstract description 15
- 238000012937 correction Methods 0.000 claims abstract description 12
- 238000002790 cross-validation Methods 0.000 claims abstract description 5
- 235000011389 fruit/vegetable juice Nutrition 0.000 claims description 22
- 239000000203 mixture Substances 0.000 claims description 16
- 235000015203 fruit juice Nutrition 0.000 claims description 11
- 239000000843 powder Substances 0.000 claims description 11
- 239000007787 solid Substances 0.000 claims description 9
- 230000003595 spectral effect Effects 0.000 claims description 7
- 235000015197 apple juice Nutrition 0.000 claims description 6
- 239000008187 granular material Substances 0.000 claims description 6
- 238000002360 preparation method Methods 0.000 claims description 6
- 230000008859 change Effects 0.000 claims description 3
- 239000012153 distilled water Substances 0.000 claims description 3
- 238000012360 testing method Methods 0.000 claims description 3
- 238000013519 translation Methods 0.000 claims description 3
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Chemical compound O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 3
- 230000005856 abnormality Effects 0.000 claims description 2
- 238000001914 filtration Methods 0.000 claims description 2
- 238000001514 detection method Methods 0.000 abstract description 6
- 238000000862 absorption spectrum Methods 0.000 abstract description 3
- 238000010521 absorption reaction Methods 0.000 description 3
- 238000004458 analytical method Methods 0.000 description 3
- 238000012797 qualification Methods 0.000 description 3
- 235000013399 edible fruits Nutrition 0.000 description 2
- 235000021393 food security Nutrition 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 238000004611 spectroscopical analysis Methods 0.000 description 2
- 239000000126 substance Substances 0.000 description 2
- 201000004569 Blindness Diseases 0.000 description 1
- 206010020772 Hypertension Diseases 0.000 description 1
- 238000010987 Kennard-Stone algorithm Methods 0.000 description 1
- ZLMJMSJWJFRBEC-UHFFFAOYSA-N Potassium Chemical compound [K] ZLMJMSJWJFRBEC-UHFFFAOYSA-N 0.000 description 1
- 235000010724 Wisteria floribunda Nutrition 0.000 description 1
- 230000002159 abnormal effect Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 239000003153 chemical reaction reagent Substances 0.000 description 1
- 208000029078 coronary artery disease Diseases 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000005670 electromagnetic radiation Effects 0.000 description 1
- 238000003912 environmental pollution Methods 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 229930003935 flavonoid Natural products 0.000 description 1
- 150000002215 flavonoids Chemical class 0.000 description 1
- 235000017173 flavonoids Nutrition 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000001320 near-infrared absorption spectroscopy Methods 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 229910052700 potassium Inorganic materials 0.000 description 1
- 239000011591 potassium Substances 0.000 description 1
- 239000010453 quartz Substances 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 210000000697 sensory organ Anatomy 0.000 description 1
- VYPSYNLAJGMNEJ-UHFFFAOYSA-N silicon dioxide Inorganic materials O=[Si]=O VYPSYNLAJGMNEJ-UHFFFAOYSA-N 0.000 description 1
Classifications
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- 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
- G01N21/359—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light using near infrared light
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2201/00—Features of devices classified in G01N21/00
- G01N2201/12—Circuits of general importance; Signal processing
- G01N2201/127—Calibration; base line adjustment; drift compensation
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- Physics & Mathematics (AREA)
- Spectroscopy & Molecular Physics (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Investigating Or Analysing Materials By Optical Means (AREA)
Abstract
The method for blending apple fumet content in cider is calculated the present invention relates to a kind of use near-infrared spectrum technique, the corresponding near-infrared absorption spectrum figure for blending cider of apple fumet of the various concentrations gradient of standard is gathered first；Secondly after the preprocess method of multiplicative scatter correction spectrum is carried out, the data of the near infrared spectrum of collection are imported into PLS models, and using the optimal factor number of leave one cross validation selection；PLS discrimination models finally are set up using optimal factor number, unknown sample is predicted.The present invention is with detection speed is fast, precision of prediction is high, simple operation and other advantages.
Description
Technical field
The present invention relates to fruit juice Normal juice detection field, particularly a kind of calculated using near-infrared spectrum technique blends cider
The method of middle apple fumet content.
Background technology
Apple is rich in potassium, flavonoids, polyphenoils, the generation of hypertension and coronary heart disease can be effectively reduced, extensively by consumer
Like.Some illegal businessmans are in order to reduce cost, and the fresh apple juice peddled is hooked by fruit powder electuary or fruit powder electuary often
Convert Fresh Juice etc. and be made and deceive consumer's purpose to reach, the rights and interests that consumer is not only invaded in this behavior more threaten consumer
Health.Traditional fruit juice mirror method for distinguishing is identified by sense organ, but because qualification result can not quantify, while having certain
Subjectivity and blindness；And the fruit juice quality based on chemical analysis is identified with content, although have the advantages that precision is high, but deposit
Qualification cycle length, the deficiency for the aspect such as qualification process is cumbersome, cost of expert testimony is high.Therefore, research is a kind of simple, easily operated,
And energy is quick, the method for precise Identification Fresh Juice content, is significant for food security.
Near infrared spectrometer（Near Infrared Spectrum Instrument, NIRS）It is between visible ray（Vis）
It is infrared with（MIR）Between electromagnetic radiation as waves, near infrared spectrum is defined as 780-2526nm region, is people in absorption
The first non-visible light area found in spectrum.Near infrared spectrum and hydric group in organic molecule（O-H、N-H、C-H）Shake
Dynamic sum of fundamental frequencies is consistent with the uptake zone of frequencys multiplication at different levels, by scanning the near infrared spectrum of sample, can obtain in sample organic point
The characteristic information of sub- hydric group, and using near-infrared spectrum technique analysis sample have easily and fast, efficiently, accurately and
Cost is relatively low, does not destroy sample, does not consume chemical reagent, and free from environmental pollution, the advantages of instrument is portable is extensive in recent years
Apply in the detection of food security.
In real work, the content in mixture is generally difficult to detection, and the quantitative basis of near infrared spectrum is mainly light
Spectrum in itself because spectrum reflects the Nomenclature Composition and Structure of Complexes information of authentic sample.Therefore, the present invention is set up partially most by known sample
A young waiter in a wineshop or an inn multiplies model, sets up the relation implied between material, measures the content of respective substance.
To sum up, be currently badly in need of it is a kind of it is quick, lossless blend apple fumet cubage method in cider, be conducive to people
Distinguish adulterated, the present invention is proposed using near infrared spectrum as detection method, at the same utilize partial least squares analysis method realize pair
Blend the measurement of apple fumet content in cider.
The content of the invention
In view of this, calculated the purpose of the present invention is to propose to one kind using near-infrared spectrum technique and blend apple in cider
The method of Normal juice content, process is quick, as a result accurately, and to sample nondestructive.
The present invention is realized using following scheme：One kind is calculated using near-infrared spectrum technique and blends apple fumet in cider
The method of content, specifically includes following steps：
Step S1：Prepare contain different content apple fumet blend cider as sample, sample is subjected near infrared spectrum
Scanning, gathers its near infrared spectrum, and the sample data of rejecting abnormalities；
Step S2：Choose 12000-4000cm-1Spectral information under characteristic wave bands, with multiplicative scatter correction preprocess method
The spectral information is handled；The spectroscopic data obtained after scatter correction can effectively eliminate scattering influence, increase
The strong spectral absorption information related to component content；
Step S3：The optimal factor numbers of PLS are tried to achieve using leave one cross validation；
Step S4：Using optimal factor number, PLS modelings are carried out, obtain blending the prediction mould of apple fumet content in cider
Type；
Step S5：For unknown sample, its near infrared spectrum is scanned, apple in cider is blent using what step S4 was established
The forecast model of Normal juice content, predicts the unknown Normal juice content blent in cider；
Further, the cider of blending for containing different content apple fumet is prepared described in step S1 to specifically include as sample
Following steps：
Step S11：The preparation of fresh cider：Fresh apple is taken, through removing the peel, shredding, squeeze the juice, filtering technique obtains fresh apple
Juice, and determine its soluble solid content；
Step S12：The preparation of fruit juice medicinal granules of powder：The apple juice powder of same soluble solid content is configured with distilled water；
Step S13：It is prepared by the cider of different Normal juice contents：By the fresh cider with identical soluble solid content and
Fruit juice medicinal granules of powder is blent according to Normal juice ratio for 0~1, makes multiple calibration sample sets.
Further, the spectral information is carried out with multiplicative scatter correction preprocess method in step S2 handling specific
For：Initially set up the preferable spectrum of a testing sample, the preferable spectrum is change and the content of composition in sample of spectrum
Direct linear relationship is met, requires to be modified the near infrared spectrum of every other sample by standard of the preferable spectrum；
The amendment includes baseline translation and offset correction.
Compared with prior art, the present invention has following beneficial effect：The method that the present invention is taken can not only be surveyed quickly
Amount blends apple fumet content in cider, and with high accuracy, simple operation and other advantages, in follow-up different mixtures
Normal juice content detection work in have major contribution, have a good application prospect.
Brief description of the drawings
Fig. 1 is the original suction of the corresponding near-infrared of apple fumet that different content in fruit juice is blent described in the embodiment of the present invention
Receive spectrogram.
Fig. 2 be the embodiment of the present invention in pass through the pretreated apple for blending different content in fruit juice of multiplicative scatter correction
The corresponding near-infrared absorption spectrum figure of Normal juice.
Fig. 3 is to obtain optimal principal component factor number variation diagram using leave one cross validation in the embodiment of the present invention.
Fig. 4 is PLS models in the embodiment of the present invention to blending in cider between the predicted value and actual value of Normal juice content
Graph of a relation.
Embodiment
Below in conjunction with the accompanying drawings and embodiment the present invention will be further described.
Present embodiments provide a kind of use near-infrared spectrum technique and calculate the side for blending apple fumet content in cider
Method, specifically includes following steps：
（1）The preparation of fresh cider：Fresh red fuji apple is taken, obtains fresh through the technique such as removing the peel, shredding, squeeze the juice, filter
Cider, and determine its soluble solid content.The preparation of fruit juice medicinal granules of powder：Same soluble solid is configured with distilled water
The apple juice powder of content.It is prepared by the cider of different Normal juice contents：By the fresh apple with identical soluble solid content
Juice and fruit juice medicinal granules of powder are blent according to Normal juice ratio for 0~1, make 21 calibration sample sets.
Contained using 2mm quartz colorimetric utensils and treat above-mentioned sample, experiment instrument used is Fourier transform near infrared spectrum
The FT-NIR of analyzer Nicolet 6700（U.S. Thermo Fisher）.Using air as measurement background, air humidity is
60%, determined at 25 DEG C of room temperature, gather the transmission near infrared spectrum of sample.Wave-number range is 12000-4000cm-1, resolution ratio
For 16, each Sample Scan 3 times takes its average value as the near-infrared absorption spectrum of the sample, as shown in Figure 1.Data acquisition
Using the FT-NIR near infrared spectrum software platform OMNICE softwares of Nicolet 6700, data analysis is in MATLAB R2016a
It is middle to carry out.
(2) reject, and carried out with multiplicative scatter correction preprocess method to spectral information for abnormal sample
Handled.The spectroscopic data obtained after scatter correction can effectively eliminate scattering influence, enhance and component content
Related spectral absorption information.The use of this method requires to set up " the preferable spectrum " of a testing sample first, i.e. spectrum
Change and the content of composition in sample meet direct linear relationship, are required by standard of the spectrum to the near of every other sample
Infrared spectrum is modified, including baseline translation and offset correction etc., such as Fig. 2.
(3) sample of collection is divided into calibration set and forecast set by totally 21 samples using KS algorithms, wherein with Normal juice ratio
Totally 11 groups of data are used as school to the sample that example is 0,0.10,0.20,0.30,0.40,0.50,0.60,0.70,0.80,0.90,1.00
Positive collection, for optimization model parameter and model result；With 0.05,0.15,0.25,0.35,0.45,0.55,0.65,0.75,
0.85th, totally 10 groups of data are as forecast set for 0.95 sample, for verifying the validity of model.
(4) factor number optimal PLS that is asked using leave one cross validation, such as Fig. 3.
(5) optimal factor number 10 is used, PLS modelings are carried out.Forecast set sample is carried out with the PLS models established
Apple fumet is analyzed, and the coefficient correlation of model is 0.9991, and prediction mean square error is 0.0121, between predicted value and actual content
Graph of a relation is as shown in Figure 4.
The foregoing is only presently preferred embodiments of the present invention, all equivalent changes done according to scope of the present invention patent with
Modification, should all belong to the covering scope of the present invention.
Claims (3)
1. a kind of use near-infrared spectrum technique calculates the method for blending apple fumet content in cider, it is characterised in that：Bag
Include following steps：
Step S1：Prepare contain different content apple fumet blend cider as sample, sample is subjected near infrared spectrum
Scanning, gathers its near infrared spectrum, and the sample data of rejecting abnormalities；
Step S2：Choose 12000-4000cm-1Spectral information under characteristic wave bands, with multiplicative scatter correction preprocess method pair
The spectral information is handled；
Step S3：The optimal factor numbers of PLS are tried to achieve using leave one cross validation；
Step S4：Using optimal factor number, PLS modelings are carried out, obtain blending the prediction mould of apple fumet content in cider
Type；
Step S5：For unknown sample, its near infrared spectrum is scanned, apple in cider is blent using what step S4 was established
The forecast model of Normal juice content, predicts the unknown Normal juice content blent in cider.
2. a kind of use near-infrared spectrum technique according to claim 1, which is calculated, blends apple fumet content in cider
Method, it is characterised in that：Prepared described in step S1 contain different content apple fumet to blend cider specific as sample
Comprise the following steps：
Step S11：The preparation of fresh cider：Fresh apple is taken, through removing the peel, shredding, squeeze the juice, filtering technique obtains fresh apple
Juice, and determine its soluble solid content；
Step S12：The preparation of fruit juice medicinal granules of powder：The apple juice powder of same soluble solid content is configured with distilled water；
Step S13：It is prepared by the cider of different Normal juice contents：By the fresh cider with identical soluble solid content and
Fruit juice medicinal granules of powder is blent according to Normal juice ratio for 0~1, makes multiple calibration sample sets.
3. a kind of use near-infrared spectrum technique according to claim 1, which is calculated, blends apple fumet content in cider
Method, it is characterised in that：Specific is handled to spectral information progress with multiplicative scatter correction preprocess method in step S2
For：Initially set up the preferable spectrum of a testing sample, the preferable spectrum is change and the content of composition in sample of spectrum
Direct linear relationship is met, requires to be modified the near infrared spectrum of every other sample by standard of the preferable spectrum；
The amendment includes baseline translation and offset correction.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN108572154A (en) * | 2018-05-31 | 2018-09-25 | 福建医科大学 | A method of quickly detecting peach juice Normal juice content based on near-infrared spectrum technique |
| CN108593596A (en) * | 2018-05-31 | 2018-09-28 | 福建医科大学 | The method that Normal juice content in coconut juice is quickly detected based on near-infrared spectrum technique |
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| CN108572154A (en) * | 2018-05-31 | 2018-09-25 | 福建医科大学 | A method of quickly detecting peach juice Normal juice content based on near-infrared spectrum technique |
| CN108593596A (en) * | 2018-05-31 | 2018-09-28 | 福建医科大学 | The method that Normal juice content in coconut juice is quickly detected based on near-infrared spectrum technique |
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Application publication date: 20170915 |