CN106970041A - A kind of near-infrared assay method of the big aggressiveness content of wheat flour Insoluble glutenin - Google Patents

A kind of near-infrared assay method of the big aggressiveness content of wheat flour Insoluble glutenin Download PDF

Info

Publication number
CN106970041A
CN106970041A CN201710235192.8A CN201710235192A CN106970041A CN 106970041 A CN106970041 A CN 106970041A CN 201710235192 A CN201710235192 A CN 201710235192A CN 106970041 A CN106970041 A CN 106970041A
Authority
CN
China
Prior art keywords
glutenin
sample
insoluble
infrared
wheat flour
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.)
Granted
Application number
CN201710235192.8A
Other languages
Chinese (zh)
Other versions
CN106970041B (en
Inventor
张平平
张瑜
马鸿翔
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Jiangsu Academy of Agricultural Sciences
Original Assignee
Jiangsu Academy of Agricultural Sciences
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Jiangsu Academy of Agricultural Sciences filed Critical Jiangsu Academy of Agricultural Sciences
Priority to CN201710235192.8A priority Critical patent/CN106970041B/en
Publication of CN106970041A publication Critical patent/CN106970041A/en
Application granted granted Critical
Publication of CN106970041B publication Critical patent/CN106970041B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/31Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
    • G01N21/35Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light
    • G01N21/359Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light using near infrared light
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N1/00Sampling; Preparing specimens for investigation
    • G01N1/28Preparing specimens for investigation including physical details of (bio-)chemical methods covered elsewhere, e.g. G01N33/50, C12Q
    • G01N1/34Purifying; Cleaning
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N30/00Investigating or analysing materials by separation into components using adsorption, absorption or similar phenomena or using ion-exchange, e.g. chromatography or field flow fractionation
    • G01N30/02Column chromatography
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N30/00Investigating or analysing materials by separation into components using adsorption, absorption or similar phenomena or using ion-exchange, e.g. chromatography or field flow fractionation
    • G01N30/02Column chromatography
    • G01N30/04Preparation or injection of sample to be analysed
    • G01N30/06Preparation

Landscapes

  • Physics & Mathematics (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)
  • Spectroscopy & Molecular Physics (AREA)
  • Engineering & Computer Science (AREA)
  • Biomedical Technology (AREA)
  • Molecular Biology (AREA)
  • Investigating Or Analysing Materials By Optical Means (AREA)
  • Investigating Or Analysing Biological Materials (AREA)

Abstract

The invention belongs to agricultural product composition detection technical field, and in particular to a kind of near-infrared assay method of big aggressiveness content of wheat flour Insoluble glutenin and its application.It is a feature of the present invention that:After the buffered liquid of wheat flour is extracted, the liquid testing sample containing the big aggressiveness of Insoluble glutenin is obtained.Testing sample is while true chemical value is determined, and reflected formula near infrared spectrometer scanning gathers primary light spectrogram.The near-infrared for setting up the big aggressiveness content of flour Insoluble glutenin by stoichiometry software and PLS predicts calibrating patterns.According to model parameter and application verification, the forecast model has outstanding feature accurately and fast with low cost.

Description

A kind of near-infrared assay method of the big aggressiveness content of wheat flour Insoluble glutenin
Technical field
The application is related to agricultural product composition detection technical field, particularly a kind of big aggressiveness of wheat flour Insoluble glutenin The near-infrared assay method of content.
Background technology
The anharmonicity of near infrared spectrum (Near-infrared spectroscopy, NIRS) based on molecular vibration, leads Cause molecular vibration from ground state to being produced during high energy order transition, wave-length coverage can record hydric group generally in 800~2500nm The frequency multiplication and sum of fundamental frequencies of the vibrations such as C-H, O-H, N-H, S-H, P-H absorb, the association set up between absorption spectrum and content of material.It is non- Often suitable for the content analysis of the carbon-hydrogen organics such as the moisture content analysis and albumen, carbohydrate, lipid of checking matter.
Glutelin in wheat seed and flour generally exists in polymeric form, and wherein the degree of polymerization is higher, 12 The part for being difficult to be extracted in sodium alkyl sulfate phosphate buffer is referred to as the big aggressiveness of Insoluble glutenin (Unextractablepolymeric protein, UPP).UPP only accounts for about the 50% of wheat gluten total amount, and storage protein is total About the 5% of amount, but be in extremely significant positive correlation with gluten strength, UPP contents are mainly influenceed by genotype, and it is to gluten quality There is conclusive effect (ZhangP P, He Z H, XiaX C, et al.Effect ofpercent SDS- with food quality Unextractable polymeric protein (%UPP) on end-use quality in Chinese breadwheat cultivars.Cereal Chemistry,2008,85:696-700;Zhu J,KhanK.Effects ofgenothpe and environment on gluteninpolymers andbreadmaking quality.Cereal Chem,2001,78:125-130;
GuptaRB,Khan K,MacRitchie F.Biochemical basis offlourproperties inbread wheats.I.Effects ofvariation in the quantity and size distribution ofpolymeric protein.J Cereal Sci,1993,18:23-41).Therefore, how fast and accurately quantitative analysis UPP turns into the important content that wheat breed breeding generation is selected.
Conventional Glutenin macropolymer analysis method includes at present:Biuret colorimetric method (Liu Li, Zhouyang, He Zhonghu, etc. .Glu-1 the influence Acta Agronomica Sinicas with Glu-3 allelic variations to Insoluble glutenin content, 2004,30:1086-1092), third Alcohol partition method (Bean S R, Lyne RK, TilleyKA, et al.A rapidmethod for quantitation ofinsoluble polymeric proteins in flour.CerealChem,1998,75:374-379;Fu B X, SapirsteinH D.Procedure for isolating monomeric proetins andpolymeric glutenin ofwheat flour.Cereal Chem,1996,73:143-152), multilayer gel electrophoresis densitometric scan method (Zhu J,Khan K.Effects ofgenothpe and environment on gluteninpolymers andbreadmaking quality.Cereal Chem,2001,78:125-130) with exclusion chromatography (Zhang P P, He Z H, Xia X C, et al.Effect ofpercent SDS-unextractable polymeric protein (%UPP) on end-use quality in Chinese bread wheat cultivars.Cereal Chemistry,2008,85: 696-700;GuptaR B,Khan K,MacRitchie F.Biochemical basis offlour properties inbread wheats.I.Effects of variation in the quantity and size distribution ofpolymeric protein.J Cereal Sci,1993,18:23-41)。
Though biuret colorimetric method and propyl alcohol partition method method be simple, the not Glutenin macropolymer of its practical measurement contains Amount, but the polymeric total amount of glutelin, and also be present the poor repeatability between parallel samples in biuret colorimetric method, waste time and energy The problem of.Multilayer gel electrophoresis densitometric scan method continuous mode and technical sophistication, the dyeing-decolorzing requirement to gel are strict, into This is higher, wastes time and energy.Exclusion chromatography is current most accurate method, but this method equipment and consumptive material are expensive, it is necessary to special Technical staff, be used for the higher quantitative study of requirement, but the application in breeding assisted Selection is less.At present, using near The research that infrared spectrum technology is measured to Glutenin macropolymer content has no report.
The content of the invention
In view of the above-mentioned problems, the present invention, which is established, can determine the near infrared spectrum of wheat flour Glutenin macropolymer content Assay method (model), this method sample preparation is simple, with low cost, and measurement accuracy is high.What the present invention was realized in:
A kind of near-infrared assay method of the big aggressiveness content of wheat flour Insoluble glutenin, it is comprised the following steps that:1) Prepare Glutenin macropolymer sample:The big aggressiveness fluid sample of albumen is prepared using SDS- phosphate buffer extract solutions, it is standby;
Specific extracting method is to weigh 20mg flour samples respectively in 2.0mL centrifuge tubes, adds 1.6mL SDS- phosphoric acid and delays Fliud flushing extract solution shakes 10min, 17000g centrifugation 5min, abandons supernatant;Add 1.6mL SDS- phosphoric acid buffers again in precipitation Liquid extract solution, 20s is extracted using Ultrasonic cell smash, and then 17000g centrifuges 5min, the supernatant obtained as paddy The big aggressiveness fluid sample of albumen;
2) step 1 is taken using 0.45 μm of nylon membrane (water system) syringe filters respectively) the Glutenin macropolymer liquid that obtains Sample 200uL carries out chromatography, obtains chemical assay result;
3) take step 1 respectively) obtain Glutenin macropolymer 1.0~1.2mL of fluid test sample, gather spectroscopic data; Spectral scan interval 950-1650nm, scanning times 10 times, temperature room temperature, resolution ratio 5nm;
4) deflected secondary air is used, to step 2) obtain chemical assay result and step 3) obtain spectroscopic data Analysis is calculated, forecast model is set up;The coefficient of determination of the model is R2=0.89, the calibration standard deviation of model is RMSECV= 36.40;
5) Unscrambler chemo metric softwares are used, the calibrating die of prediction is set up with reference to PLS method Type;
Spectrum baseline in measurement process is eliminated using the smooth Pretreated spectra modes of first derivative+S-G to drift about to setting up The influence that the calibrating patterns of prediction are caused, with the standard deviation of validation-cross and the coefficient of determination R of institute's established model2For evaluation and foreca Calibrating patterns effect major parameter;
6) using and step 1) identical method prepares the Glutenin macropolymer fluid sample of testing sample, utilizes step 5) Calibrating patterns of the prediction of acquisition, and according to step 3) methods described carries out near-infrared spectrum analysis to testing sample, that is, obtains The content of the big aggressiveness of testing sample Insoluble glutenin.
Further, in the near-infrared assay method of the big aggressiveness content of wheat flour Insoluble glutenin of the present invention, step Rapid 1) described SDS- phosphate buffers extract solution refers to, the 0.5M phosphate buffers of the 0.5%SDS containing mass volume ratio, pH value 6.90。
Further, in the near-infrared assay method of the big aggressiveness content of wheat flour Insoluble glutenin of the present invention, step The extracting parameter of rapid 1) described Ultrasonic cell smash isProbe, output work 10W.
Further, in the near-infrared assay method of the big aggressiveness content of wheat flour Insoluble glutenin of the present invention, step Rapid 2) described chromatography refers to that, using high performance liquid chromatograph, Biosep S4000 gel chromatographic columnses, mobile phase is containing volume Than 50% acetonitrile solution (v/v) of 0.05% trifluoroacetic acid, flow velocity 0.5mL/min.
Further, in the near-infrared assay method of the big aggressiveness content of wheat flour Insoluble glutenin of the present invention, step During rapid 3) the collection spectroscopic data, sensing equipment is Perten DA7200 diode array near infrared spectrometers, fills sample hardware For liquid quartz sample cell, thickness is 1mm.
Compared to existing measuring method, the forecast model provided using the application is to the big aggressiveness of flour Insoluble glutenin Determine, with outstanding feature accurately and fast with low cost, it is easy to popularization and application.
Brief description of the drawings
Fig. 1 is that the big aggressiveness near-infrared of Insoluble glutenin predicts in calibrating patterns that chemical score is related to spectral predicted value Property analysis chart.
Fig. 2 is Glutenin macropolymer fluid test sample (extract solution) atlas of near infrared spectra.
Embodiment
Technical scheme is described in detail in following examples, is illustrative purpose, is not to this hair The limitation of bright protection domain.
Material source/collocation method/the equipment and running parameter being related in embodiment:
1st, the flour samples sources that near-infrared forecast model and model are used:Applicant voluntarily collects Jiangsu, Anhui, mountain 120 parts of the wheat breed (being) in the provinces such as east, Henan, Shaanxi, Sichuan, is planted in 2014-2015 years in agriculture section of Jiangsu Province Institute proving ground.
Field test uses RANDOMIZED BLOCK DESIGN, 3 row areas, the long 1.5m of row, 2 repetitions, and time of infertility amount of nitrogen is about 225kg.hm-1, it is ripe after harvest seed samples.Two are repeated after seed samples mixed in equal amounts, Brabender is used Quadrumat Junior Laboratory are according to standardization program powder, flour extraction about 60%.
These sample material protein contents and the big aggressiveness content variation of Insoluble glutenin are abundant (being shown in Table 1), Xia Shushi Apply in example, randomly selecting in these samples 100 parts is used to model (embodiment 1), and 20 parts are used for model checking (embodiment 2).
The gel chromatography chemical score and spectral predicted value Basic Statistics and Tables of the modeling sample collection of table 1
Parameter Average value Maximum Minimum value
Protein content (%, butt) 11.25 15.03 8.54
The big aggressiveness content chemical score (AU/mg) of Insoluble glutenin 1108.37 1805.57 854.55
2nd, following embodiment near infrared spectra collections or measure main equipment are Perten DA7200 diode array near-infrareds Spectrometer (Perten Instr Inc. of Sweden), it is liquid quartz sample cell to determine fashionable dress sample hardware, and thickness is 1mm.
3rd, it is the high performance liquid chromatographs of Dionex UltiMate 3000, chromatogram that following embodiment chemical scores, which determine main equipment, Post is Biosep S4000 gel chromatographic columnses.Call parameter during measure is:Mobile phase is containing 0.05% (v/v) trifluoroacetic acid 50% acetonitrile solution (v/v), flow velocity 0.5mL/min.Chemical score unit conversion is AU/mg, represents paddy egg in every milligram of flour The absorbance (AU) of white big aggressiveness.
4th, SDS- phosphate buffers extract solution:0.5M phosphoric acid buffers containing 0.5%SDS (w/v, lauryl sodium sulfate) Liquid, pH 6.90.
The foundation of the big aggressiveness assay near-infrared model of the Insoluble glutenin of embodiment 1
1st, Glutenin macropolymer testing sample is prepared:Randomly select 100 parts of flour samples, every part accurate weigh 20mg in 2.0mL centrifuge tubes, add 1.6mL SDS- phosphate buffer extract solutions room temperature concussion 10min, 17000g centrifugation 5min, abandon Clearly;Again in precipitation add 1.6mL SDS- phosphate buffer extract solutions, using Ultrasonic cell smash (Visit Head, 10W) 20s is extracted, then 17000g centrifuges 5min, and the supernatant obtained is Glutenin macropolymer fluid test sample.
2nd, chromatography determines chemical score:200uL steps 1 are taken to obtain using 0.45 μm of nylon membrane (water system) syringe filters Fluid test sample carry out chromatography, chemical score range of variation is wider, is 854.55AU/mg~1805.57AU/mg.(tool Body measurement method is referring to GuptaRB, Khan K, MacRitchie F.Biochemical basis offlourproperties inbreadwheats.I.Effects ofvariation in the quantity and size distribution ofpolymeric protein.J Cereal Sci,1993,18:23-41;Larroque O R,Bekes F.Rapid size-exclusion chromatography analysis ofmolecular size distribution forwheat endospermprotein.Cereal Chem,2000,77:451-453.), the chemical assay knot of 100 parts of samples of the present embodiment Fruit is shown in Table 2.
3rd, modeling and spectral collection:Chemical score is carried out in step 2 to determine simultaneously, and Glutenin macropolymer liquid is directly taken respectively 1.0~1.2mL of testing sample, the spectroscopic data of sample is gathered using PertenDA7200 liquid quartzs sample cell.Spectral scan Interval 950-1650nm, scanning times 10 times, temperature room temperature, resolution ratio 5nm.100 parts of Glutenin macropolymer liquid of the present embodiment The near infrared spectrum data that testing sample (extract solution) is obtained is as shown in Figure 2.
4th, the foundation of the big aggressiveness near-infrared rating model of Insoluble glutenin:By to step 2 chemical score (table 2) and step The calculating analysis modeling of 3 spectroscopic datas.
Modeling software used in the present embodiment is The UnscramblerX (v10.3, CAMO), and spectroscopic data is shown in Fig. 2, The modeling method used is offset minimum binary (PLS) method, and modeling wave band is 950-1650nm.
PLS carries out principal component decomposition to spectral information X and concentration information Y matrixes simultaneously in computing, and uses main gene Returned, model contains the concentration information of spectral information and sample index of correlation;PLS's comprises the following steps that:
First, X and Y matrixes are decomposed, its model is:
Y=UQT+EY (1)
X=TPT+EX (2)
In formula (1), (2), T and P are respectively the score and loading matrix of X matrix, and U and Q are respectively Y score load moment Battle array, EXAnd EYRemaining residual matrix when respectively with PLS models fitting X and Y;
Then, T and U are made into linear regression:
U=TB (3)
B=(TTT)-1TTY (4)
In prediction, unknown sample matrix X is obtained according to load battle array P firstIt is unknownScore battle array TIt is unknown, then
Concentration prediction value is obtained by formula (5):
YIt is unknown=TIt is unknownBQ (5)
5th, corresponding forecast model is obtained, using the forecast model to spectroscopic data backward prediction, predicted value (table is obtained 2)。
The chromatography chemical score and model predication value (AU/mg) of 2 100 parts of modeling flour samples of table
The coefficient of determination of the model is R2=0.89, and the validation-cross standard deviation of model is RMSECV=36.40, is only The 3.28% of modeling sample average.
As can be seen from Table 2, the model accurately detects the big aggressiveness of Insoluble glutenin in SDS phosphoric acid buffer extract solutions Content.The major absorbance peak of testing sample is located in the range of 1400~1600nm (as shown in Figure 2), a mainly N-H frequency multiplication, C-H combination frequency and an O-H frequency multiplication absorb.Meanwhile, from figure 2 it can be seen that each component near infrared spectrum region Absworption peak overlaps each other, therefore uses Unscrambler chemo metric softwares, sets up and predicts with reference to PLS method Calibrating patterns.
Before modeling, measurement process is eliminated using first derivative+S-G smooth (smooth 7 points of points) Pretreated spectra mode The influence that middle spectrum baseline drift is caused to modeling.With standard deviation (the Standarderror ofcross of validation-cross Validation, SECV) and institute's established model the coefficient of determination (R2) it is the major parameter for evaluating modeling effect.
The application of the big aggressiveness assay near-infrared model of the Insoluble glutenin of embodiment 2
In addition choose have neither part nor lot in embodiment 1 modeling 20, sample, using with the step 1 identical sample preparation of embodiment 1 Method obtains Glutenin macropolymer fluid test sample.
Using identical DA7200 near-infrared analyzers in embodiment 1 and liquid quartz sample cell, the step of embodiment 1 is utilized (spectrum spectrum detects material in the range of 950-1650nm to the big aggressiveness content prediction calibrating patterns of Insoluble glutenin set up in 4 Absorbance, Testing index is Glutenin macropolymer content) sample is detected, and near infrared detection value (table 3) is obtained, detect When measuring condition and being consistent during modeling.
The chemical score of 20 parts of samples is determined using chromatographiccondition identical with the step 2 of embodiment 1, as a result such as table 3.
Near-infrared prediction calibrating patterns testing result is compared with chemical score, 3 are as a result equally shown in Table.
The chromatography chemical score and model inspection value (AU/mg) of 3 20 parts of checking model flour samples of table
Note:Prediction standard deviation is 43.66AU/mg, and prediction related coefficient is 0.93.
As can be seen from Table 3, using the Glutenin macropolymer content detection model for the near infrared detection model determination set up Enclose wider, prediction related coefficient reaches 0.93, and prediction standard deviation is 43.66AU/mg, and the model is in flour Insoluble glutenin There is preferable application prospect in measure.

Claims (5)

1. a kind of near-infrared assay method of the big aggressiveness content of wheat flour Insoluble glutenin, it is characterised in that specific steps It is as follows:
Prepare Glutenin macropolymer sample:
The big aggressiveness fluid sample of albumen is prepared using SDS- phosphate buffer extract solutions, it is standby;
Respectively step 1 is taken using nylon membrane syringe filters)The Glutenin macropolymer fluid sample of acquisition carries out chromatography, obtains Obtain chemical assay result;
Step 1 is taken respectively)The mL of Glutenin macropolymer fluid test sample 1.0 ~ 1.2 of acquisition, gathers spectroscopic data;Spectrum is swept Retouch 950 ~ 1650nm of interval, scanning times 10 times, temperature room temperature, resolution ratio 5nm;
Using deflected secondary air, to step 2)The chemical assay result and step 3 of acquisition)The spectroscopic data of acquisition, which is calculated, to be divided Analysis, sets up forecast model;The coefficient of determination of the model is R2=0.89, the calibration standard deviation of model is RMSECV=36.40;
Using Unscrambler chemo metric softwares, the calibrating patterns of prediction are set up with reference to PLS method;
Spectrum baseline drift in measurement process is eliminated using the smooth Pretreated spectra modes of first derivative+S-G to predict setting up The influence that causes of calibrating patterns, with the calibration standard deviation and the coefficient of determination R of institute's established model of validation-cross2It is pre- as evaluating The major parameter of the calibrating patterns effect of survey;
Using with step 1)Identical method prepares the Glutenin macropolymer fluid sample of testing sample, utilizes step 5)Obtain The calibrating patterns of prediction, and according to step 3)Methods described carries out near-infrared spectrum analysis to testing sample, that is, obtains and treat test sample The content of the big aggressiveness of product Insoluble glutenin.
2. the near-infrared assay method of the big aggressiveness content of wheat flour Insoluble glutenin, its feature according to claim 1 It is, step 1)The utilization SDS- phosphate buffer extract solutions prepare the big aggressiveness fluid sample of albumen and referred to:Weigh respectively 20mg flour samples, add 1.6mL SDS- phosphate buffers extract solution concussion 10min, 17000g 5 min of centrifugation, abandon supernatant; Add 1.6 mL SDS- phosphate buffer extract solutions again in precipitation, extract 20s using Ultrasonic cell smash, then 17000 g centrifuge 5 min, and the supernatant obtained is Glutenin macropolymer fluid sample;
The SDS- phosphate buffers extract solution refers to:The 0.5M phosphate buffers of the SDS containing mass volume ratio 0.5%, pH value 6.90。
3. the near-infrared assay method of the big aggressiveness content of wheat flour Insoluble glutenin, its feature according to claim 2 It is, step 1)The extracting parameter of the Ultrasonic cell smash is popped one's head in for 3mm, output work 10W.
4. the near-infrared assay method of the big aggressiveness content of wheat flour Insoluble glutenin, its feature according to claim 1 It is, step 2)The chromatography refers to, using high performance liquid chromatograph, and mobile phase is containing the trifluoroacetic acid of volume ratio 0.05% 50% acetonitrile solution, the mL/min of flow velocity 0.5.
5. according to the near-infrared assay method of the big aggressiveness content of one of the claim 1-4 wheat flour Insoluble glutenins, Characterized in that, step 3)During the collection spectroscopic data, dress sample hardware is liquid quartz sample cell, and thickness is 1mm.
CN201710235192.8A 2017-04-12 2017-04-12 Near-infrared determination method for insoluble glutelin macro-polymer content of wheat flour Active CN106970041B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710235192.8A CN106970041B (en) 2017-04-12 2017-04-12 Near-infrared determination method for insoluble glutelin macro-polymer content of wheat flour

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710235192.8A CN106970041B (en) 2017-04-12 2017-04-12 Near-infrared determination method for insoluble glutelin macro-polymer content of wheat flour

Publications (2)

Publication Number Publication Date
CN106970041A true CN106970041A (en) 2017-07-21
CN106970041B CN106970041B (en) 2020-04-07

Family

ID=59336181

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710235192.8A Active CN106970041B (en) 2017-04-12 2017-04-12 Near-infrared determination method for insoluble glutelin macro-polymer content of wheat flour

Country Status (1)

Country Link
CN (1) CN106970041B (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117368146A (en) * 2023-12-08 2024-01-09 苏陀科技(北京)有限公司 Rapid detection method for mycelium protein content

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH04359137A (en) * 1991-06-05 1992-12-11 Iseki & Co Ltd Taste evaluating method for rice
CN101726486A (en) * 2009-11-30 2010-06-09 江苏省农业科学院 Quick analyzing method for glutelin content of wheat
CN104458959A (en) * 2014-12-11 2015-03-25 首都师范大学 Method for identifying glutenin macro-polymer content in wheat
CN105181643A (en) * 2015-10-12 2015-12-23 华中农业大学 Near-infrared inspection method for rice quality and application thereof
US9463493B1 (en) * 2012-03-01 2016-10-11 General Mills, Inc. Method of producing gluten free oats

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH04359137A (en) * 1991-06-05 1992-12-11 Iseki & Co Ltd Taste evaluating method for rice
CN101726486A (en) * 2009-11-30 2010-06-09 江苏省农业科学院 Quick analyzing method for glutelin content of wheat
US9463493B1 (en) * 2012-03-01 2016-10-11 General Mills, Inc. Method of producing gluten free oats
CN104458959A (en) * 2014-12-11 2015-03-25 首都师范大学 Method for identifying glutenin macro-polymer content in wheat
CN105181643A (en) * 2015-10-12 2015-12-23 华中农业大学 Near-infrared inspection method for rice quality and application thereof

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
I.J.WESLEY,ET AL: "A curve-fitting approach to the near infrared reflectance measurement of wheat flour proteins which influence dough quality", 《NEAR INFRARED SPECTROSCOPY》 *
I.J.WESLEY,ET AL: "Measurement of Gliadin and Glutenin Content of Flour by NIR Spectroscopy", 《JOURNAL OF CEREAL SCIENCE》 *
张平平 等: "SDS 不溶性谷蛋白大聚体含量与和面仪参数的关系", 《作物学报》 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117368146A (en) * 2023-12-08 2024-01-09 苏陀科技(北京)有限公司 Rapid detection method for mycelium protein content
CN117368146B (en) * 2023-12-08 2024-03-12 苏陀科技(北京)有限公司 Rapid detection method for mycelium protein content

Also Published As

Publication number Publication date
CN106970041B (en) 2020-04-07

Similar Documents

Publication Publication Date Title
CN101887018B (en) Method for nondestructively measuring main fatty acid content of peanut seeds
CN104792652B (en) A kind of Milkvetch Root multiple index quick detecting method
CN101231274B (en) Method for rapid measuring allantoin content in yam using near infrared spectrum
CN101413885A (en) Near-infrared spectrum method for rapidly quantifying honey quality
CN103969211B (en) A kind of method using near infrared spectrum detection FUFANG DANSHEN PIAN moisture
CN103487395B (en) A kind of Paris polyphylla medicinal material multiple index quick detecting method
CN102288572A (en) Method for quickly detecting content of index ingredient of traditional Chinese medicinal material by utilizing near infrared spectrum technique
CN106706553A (en) Method for quick and non-destructive determination of content of amylase in corn single grains
CN102914596B (en) Method for rapidly determining PienTzeHuang quality by using near-infrared spectroscopy
CN104568822A (en) Method for rapidly and simultaneously detecting multiple indexes of fructus forsythia medicinal material
CN105486662A (en) Cottonseed gossypol content non-destructive measurement method based on near-infrared spectrum technology
CN108107019A (en) A kind of method that versicolorin content in corn is quickly detected based near infrared spectroscopy
KR100934410B1 (en) Simple determination of seed weights in crops using near infrared reflectance spectroscopy
CN108613943A (en) A kind of near-infrared single grain crop component detection method based on the transfer of spectrum form
CN108169168A (en) Test and analyze rice grain protein content mathematical model and construction method and application
CN110231306A (en) A kind of method of lossless, the quick odd sub- seed protein content of measurement
CN110231305A (en) A method of DPPH free radical scavenging ability in the odd sub- seed of measurement
CN106706554A (en) Method for rapidly and nondestructively determining content of straight-chain starch of corn single-ear grains
CN109406447A (en) A kind of near infrared detection method of tannin in sorghum
CN106970041A (en) A kind of near-infrared assay method of the big aggressiveness content of wheat flour Insoluble glutenin
CN108982407A (en) A method of probing into the soil optimum moisture content of detection soil nitrogen using near infrared spectrum
CN106872398A (en) A kind of HMX explosives moisture method for fast measuring
CN101231270A (en) Method for determining index composition content of Qingkailing injection intermediate body and finished product
CN102175620A (en) Method for measuring lysine in corn through near infrared spectrum
CN107703074A (en) One kind mixes the fast and accurately quantitative analysis method of pseudo- pseudo-ginseng for quaternary

Legal Events

Date Code Title Description
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant