CN109738390A - A method of based on oleic acid, linoleic acid and palmitic acid content near infrared spectrum detection simple grain peanut - Google Patents
A method of based on oleic acid, linoleic acid and palmitic acid content near infrared spectrum detection simple grain peanut Download PDFInfo
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- CN109738390A CN109738390A CN201910039351.6A CN201910039351A CN109738390A CN 109738390 A CN109738390 A CN 109738390A CN 201910039351 A CN201910039351 A CN 201910039351A CN 109738390 A CN109738390 A CN 109738390A
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Abstract
The present invention relates to peanut quality quick test technique fields, provide a kind of method based on oleic acid, linoleic acid and palmitic acid content near infrared spectrum detection simple grain peanut.This method includes selecting representational simple grain peanut seed as the standard sample collection for establishing oleic acid, linoleic acid and palmitinic acid mathematical prediction model；Near infrared ray is carried out to above-mentioned peanut sample using near infrared spectrometer, collects near infrared light spectrum information；The content of oleic acid, linoleic acid and palmitinic acid is measured to obtain chemical score in the simple grain peanut seed concentrated using gas chromatography to standard sample；Oleic acid, the chemical score of linoleic acid and palmitinic acid and corresponding near infrared spectrum data in simple grain peanut are used for founding mathematical models, realize quantitative detection.Method proposed by the present invention can be quick, accurate, lossless detection simple grain peanut in oleic acid, linoleic acid and palmitinic acid content; and it is easy to operate, pollution-free; Seedling selection means are provided for peanut high-oleic acid, low lenoleic acid and palmitinic acid genetic breeding, effectively quickening breeding process.
Description
Technical field
The invention belongs to peanut quality quick test technique fields, and in particular to a kind of lossless, quick detection simple grain peanut seed
The method of middle oleic acid, linoleic acid and palmitic acid content.
Background technique
Peanut (Arachis hypogaea L.) is one of main oil plant and industrial crops in world wide.China is
The world's largest peanut production and country of consumption, nearly 5 years national 4,620,000 hectares of annual planting area of peanuts, the 17.2% of Zhan Quanqiu, year
16,720,000 tons of total yield, the 37.5% of Zhan Quanqiu total yield.At home in large oil crops, peanut total yield, unit area oil production,
The planting industry output value ranks first, and in the case where only half is for extracting oil for peanut total yield, about 2,700,000 tons of peanut oil annual output, accounts for
The a quarter of domestic vegetable oil yield is the second largest source (being only second to rapeseed oil) of domestic vegetable oil.Further develop me
State's peanut production, to ensureing that vegetable oil and protein supply, the international competitiveness increasing farmers' income, promote oil plant industry has
It plays an important role.
Fatty acid composition is to influence peanut and its healthy nutritive value, processing characteristics and the efficiency of converted products, storage endurance
The crucial quality trait of ability and the market competitiveness.The fatty acid of peanut is with oleic acid (C18:1), linoleic acid (C18:2), palm
Based on sour (C16:0), the total content of three can achieve 90% or so, and the content of these three fatty acid is the important of peanut quality
Influence factor.Oleic acid is monounsaturated fatty acids, it can selectively reduce harmful low density cholesterol in blood of human body, and
Beneficial high density cholesterol is kept, the generation of cardiovascular disease can be effectively prevented, is known as " safe fats acid ".Linoleic acid is
Polyunsaturated fatty acid, tool are easily oxidized rotten there are two double bond during processing and storage, and content is excessively unfavorable for storing
And processing.Palmitinic acid is saturated fatty acid, and the raising of total Cholesterol in Serum can be caused by taking in excessive palmitinic acid, increases the heart
The disease incidence of vascular diseases, is unfavorable for human health.Therefore, cultivation oleic acid content is high, linoleic acid content is low and palmitic acid content
Low high-quality peanut is the important goal of peanut breeding, meanwhile, establish these three rouge in quick, efficient, accurate detection peanut
The technology of fat acid content is to speed up the technical guarantee of breeding process.
Currently, be most accurate detection method using the fatty acid composition in peanut by gas chromatography, but the party
Method has destructiveness to peanut seed, and time-consuming and laborious, cumbersome, it is also necessary to professional and expensive device, testing cost
It is high.And near infrared spectrum (NIR) detection technique utilizes organic substance that can measure sample in the optical signature of near infrared spectrum
In one or more chemical components content, have many advantages, such as it is at low cost, lossless, quick, easy to operate, free from environmental pollution, at
In order to which the prefered method of many breeder's fatyy acids, such as Chinese patent CN104865222A just disclose a kind of be based on closely
The lossless detection method of the Paeonia suffruticosa seed content of fatty acid of infrared spectroscopy.For peanut, also have been established at present corresponding close red
The method of outer detection fatty acid, such as Chinese patent CN101887018A disclose one kind with Fourier transform near-infrared diffusing reflection
The method of nondestructively measuring main fatty acid content of peanut seeds based on spectral technique；The article that Zhang Yan et al. is delivered
" research of near-infrared analysis Ecological Property of Peanut Seeds content of fatty acid " also discloses oleic acid and Asia in a kind of near-infrared analysis Ecological Property of Peanut Seeds
The method of oleic acid content needs to take the peanut sample of appropriate mass to import in the funnel of instrument tip, carries out near infrared spectrum
Measurement, due to content is more low in Ecological Property of Peanut Seeds palmitinic acid, for the prediction of palmitinic acid model built
Precision is not able to satisfy actual needs, it is difficult to the Accurate Prediction for sample.However, these methods established at present are typically necessary
10g-100g peanut seed is as sample, but breeder's sample size in the new peanut varieties of breeding is considerably less, tends not to full
The sample size requirement of the existing detection method of foot is difficult to obtain being scanned spectrum ideal as a result, therefore establishing single seed
Sub- fatty acid near infrared spectrum detection method can undoubtedly be such that breeding work carries out ahead of time, work breeding most important.Therefore, it builds
The vertical near infrared spectrum detection method that can detecte oleic acid, linoleic acid and palmitic acid content in simple grain peanut is extremely urgent, the party
The foundation of method can satisfy breeder hybridization early stage begin to the simple grain peanut seed for targetedly selecting to meet the requirements into
Row breeding, effectively quickening breeding process.
Summary of the invention
In view of the deficienciess of the prior art, the purpose of the present invention is to propose to a kind of detections that can be quick, accurate, lossless
The method of oleic acid, linoleic acid and palmitic acid content in simple grain peanut.
Realize above-mentioned purpose of the present invention the specific technical proposal is:
A method of based on oleic acid, linoleic acid and palmitic acid content near infrared spectrum detection simple grain peanut, including such as
Lower step:
The first step selects representational simple grain peanut seed as oleic acid, linoleic acid and palmitinic acid is established and predicts mathematical modulo
The standard sample collection of type；
Second step carries out near infrared ray to above-mentioned peanut sample using near infrared spectrometer, collects near infrared spectrum
Information；
Oleic acid, linoleic acid and palmitinic acid in the simple grain peanut seed that third step uses gas chromatography to concentrate standard sample
Content be measured, resulting value be chemical score corresponding with second step near infrared spectrum；
4th step is to the near infrared light acquired in the chemical score and second step of oleic acid, linoleic acid and palmitinic acid in simple grain peanut
Modal data is fitted spectral manipulation, founding mathematical models respectively；
5th step is inputted prediction mathematical modulo according to the near infrared light spectrum information of the method acquisition sample to be tested of second step
Type determines the content of oleic acid in sample to be tested, linoleic acid and palmitinic acid.
In above scheme, the 4th step is specifically included to oleic acid, the chemical score of linoleic acid and palmitinic acid and in simple grain peanut
The near infrared spectrum data acquired in two steps is fitted spectral manipulation respectively, is counted using the chemistry of Partial Least Squares (PLS)
Method founding mathematical models are measured, cross-validation abnormal value elimination are used repeatedly, by comparing the coefficient of determination of model
(R2) and mean square deviation (RMSECV) measurement model quality, screen best model；Then the accuracy of model is verified.
The present invention also provides the near infrared spectrum moulds of oleic acid, linoleic acid and palmitic acid content in a kind of detection simple grain peanut
The construction method of type, includes the following steps:
The first step selects representational simple grain peanut seed as oleic acid, linoleic acid and palmitinic acid is established and predicts mathematical modulo
The standard sample collection of type；
Second step carries out near infrared ray to above-mentioned peanut sample using near infrared spectrometer, collects near infrared spectrum
Information；
Oleic acid, linoleic acid and palmitinic acid in the simple grain peanut seed that third step uses gas chromatography to concentrate standard sample
Content be measured, resulting value be chemical score corresponding with second step near infrared spectrum；
4th step is to the near infrared light acquired in the chemical score and second step of oleic acid, linoleic acid and palmitinic acid in simple grain peanut
Modal data is fitted spectral manipulation respectively, using the chemometrics method founding mathematical models of Partial Least Squares (PLS),
Cross-validation abnormal value elimination is used repeatedly, is measured by comparing the coefficient of determination (R2) and mean square deviation (RMSECV) of model
Model quality screens best model；
The accuracy of 5th step model of a syndrome.
In above scheme, representational peanut seed is from 520 parts of genetic background groundnut germplasms abundant
1000 or more peanut seeds, groundnut germplasm include China Mini core collection, ICRISAT Mini core collection with
And 224 parts of Chinese Peanut kinds.
In above scheme, the near infrared spectrum scanning Spectral range is 4000-12500cm-1, each sample takes a kind
Son, multiple scanning 3 times, and second and third time peanut is changed into an angle when scanning and is reloaded in specimen cup, with
To multiple near infrared spectrums of same sample.
In above scheme, the chemistry of peanut sample described in second step and third step and its oleic acid, linoleic acid and palmitinic acid
Value is shown in Table 1.
In above scheme, the coefficient of determination of oleic acid model is 0.907, and mean square deviation is 3.463 (Fig. 3 A)；Linoleate model
The coefficient of determination is 0.918, and mean square deviation is 2.824 (Fig. 3 B)；The coefficient of determination of palm acid profile is 0.824, mean square deviation 0.782
(Fig. 3 C).
Compared with prior art, the invention has the following advantages:
(1) provided by the invention that oleic acid in simple grain peanut seed, linoleic acid and palmitinic acid are detected based near infrared spectrum
Method, can be quick, accurate, lossless detection simple grain peanut in above-mentioned three kinds of fatty acid content, and it is easy to operate, without dirt
Dye, accuracy are high, provide Seedling selection means for peanut high-oleic acid, low lenoleic acid and palmitinic acid genetic breeding, effectively add
Fast breeding process.
(2) oleic acid, the chemical score of linoleic acid and palmitinic acid and corresponding near infrared light spectrum in simple grain peanut are established into number
Model is learned, the testing index of constructed simple grain peanut near-infrared model further includes palmitinic acid other than oleic acid, linoleic acid,
Cover the main fatty acid of peanut seed.The coefficient of determination (the R for the model that the present invention constructs2) it is high, RMSECV is smaller, prediction knot
Fruit accuracy is high, close with true value, and wherein the coefficient of determination of oleic acid model is 0.907, mean square deviation 3.463；Linoleic acid mould
The coefficient of determination of type is 0.918, mean square deviation 2.824；The coefficient of determination of palm acid profile is 0.824, mean square deviation 0.782,
After external inspection, the present invention can carry out accurate quantitative analysis to oleic acid, linoleic acid and palmitinic acid in simple grain peanut.
(3) it is abundant and complicated to establish simple grain peanut seed genetic background that model uses, the material being related to is extensive, covers
The groundnut germplasm very rich from 520 parts of genetic background, Mini core collection, ICRISAT including China
Mini core collection and 224 parts of Chinese Peanut kinds, therefore, the model applicability of foundation is wider.
(4) present invention can be using simple grain peanut as test sample, and sample is not necessarily to be pre-processed, no destructiveness,
It does not pollute the environment, can satisfy breeder in hybridization early stage and begin to the simple grain peanut species for targetedly selecting to meet the requirements
Son is bred, effectively quickening breeding process, is improved efficiency.
Detailed description of the invention
Fig. 1 is near infrared detection instrument used in the present invention.
Fig. 2 is the near-infrared spectrum analysis figure of sample sets.
Fig. 3 is of the present invention based on oleic acid, linoleic acid and palmitic acid content near infrared spectrum detection simple grain peanut
Method in oleic acid model, linoleate model and palm acid profile the coefficient of determination.
Fig. 4 is oleic acid (A), linoleic acid (B), palmitinic acid (C) the near-infrared prediction for the simple grain peanut seed that the present invention uses
Value and chemical score correlation results.
Specific embodiment
Below by way of specific embodiment, invention is further described in detail, so that those skilled in the art can be more preferable
Ground understands the present invention and is practiced, but embodiment is not intended as restriction of the invention.
Experimental method used in following embodiment is conventional method unless otherwise specified.Material used, reagent
Deng being commercially available unless otherwise specified.
Embodiment 1
The first step selects representational simple grain peanut seed as oleic acid, linoleic acid and palmitinic acid is established and predicts mathematical modulo
The standard sample collection of type；Specifically, more than 1000 peanut seeds have been used, these peanut seeds are from 520 parts of heredity back
Scape groundnut germplasm very rich, including Chinese Mini core collection, the Mini core collection and 224 of ICRISAT
Part Chinese Peanut kind, the material of selection are very representative；
Second step carries out near infrared ray to above-mentioned peanut sample using near infrared spectrometer, collects near infrared spectrum
Information；Wherein, the near infrared spectrum scanning Spectral range is 4000-12500cm-1, and when measurement, each sample took 1 seed,
Multiple scanning 3 times, and second and third time peanut is changed into an angle when scanning and is reloaded in specimen cup, it is same to obtain
Multiple near infrared spectrums of a sample；
Oleic acid, linoleic acid and palmitinic acid in the simple grain peanut seed that third step uses gas chromatography to concentrate standard sample
Content be measured, resulting value be chemical score corresponding with second step near infrared spectrum, referring to table 1, it is seen that peanut sample
In each content of fatty acid luffing it is wider, can be used for constructing near-infrared spectroscopy；
4th step is to the near infrared light acquired in the chemical score and second step of oleic acid, linoleic acid and palmitinic acid in simple grain peanut
Modal data is fitted spectral manipulation respectively, using the chemometrics method founding mathematical models of Partial Least Squares (PLS),
Cross-validation abnormal value elimination is used repeatedly, is measured by comparing the coefficient of determination (R2) and mean square deviation (RMSECV) of model
Model quality screens best model；Verify the accuracy of model；
5th step is inputted prediction mathematical modulo according to the near infrared light spectrum information of the method acquisition sample to be tested of second step
Type determines the content of oleic acid in sample to be tested, linoleic acid and palmitinic acid.
The coefficient of determination of constructed oleic acid model is 0.907, mean square deviation 3.463, as shown in Figure 3A；Linoleate model
The coefficient of determination be 0.918, mean square deviation 2.824, as shown in Figure 3B；The coefficient of determination of palm acid profile is 0.824, mean square deviation
It is 0.782, as shown in Figure 3 C.
Oleic acid, linoleic acid and the palmitic acid content for the simple grain peanut seed that 1 founding mathematical models of table use
100 full peanut seeds are chosen, detect its oleic acid, linoleic acid and palmitinic acid using the above method of the invention
Content, including using near infrared spectrometer to above-mentioned peanut sample carry out near infrared ray, record near infrared spectrum
(NIR) predicted value recycles gas chromatography (GC) to analyze the content of oleic acid, linoleic acid and palmitinic acid in every seed, than
The correlation and accuracy of more every seed NIR predicted value and GC chemical score.Wherein, the list for examining mathematics model accuracy to use
The NIR predicted value and chemical score of the grain oleic acid of peanut seed, linoleic acid and palmitic acid content are as shown in table 2.
The NIR predicted value and chemical score of the oleic acid of 2 simple grain peanut seed of table, linoleic acid and palmitic acid content
Testing result shows that the NIR predicted value of oleic acid and the related coefficient of GC chemical score reach 0.88, as shown in Figure 4 A；
The related coefficient of linoleic NIR predicted value and GC chemical score reaches 0.90, as shown in Figure 4 B；The NIR predicted value of palmitinic acid with
The related coefficient of GC chemical score is 0.71, as shown in Figure 4 C, shows the oleic acid that obtains using this method, linoleic acid, palmitinic acid
NIR predicted value is accurate.
In conclusion effectively the selection for these three types of fatty acid can be started in breeding early generation using this method,
The breeding process for accelerating high oleic acid, low harmful fatty acid peanut varieties, further reduces the cost.
Finally it should be noted that the above examples are only used to illustrate the technical scheme of the present invention rather than protects to the present invention
The limitation of range, although the invention is described in detail with reference to the preferred embodiments, those skilled in the art should be managed
Solution, can with modification or equivalent replacement of the technical solution of the present invention are made, without departing from technical solution of the present invention essence and
Range.
Claims (10)
1. a kind of method based on oleic acid, linoleic acid and palmitic acid content near infrared spectrum detection simple grain peanut, including it is as follows
Step:
The first step selects representational simple grain peanut seed as establishing oleic acid, linoleic acid and palmitinic acid mathematical prediction model
Standard sample collection；
Second step carries out near infrared ray to above-mentioned peanut sample using near infrared spectrometer, collects near infrared spectrum letter
Breath；
Oleic acid in the simple grain peanut seed that third step is concentrated standard sample using gas chromatography, linoleic acid and palmitinic acid contain
Amount is measured, and resulting value is chemical score corresponding with second step near infrared spectrum；
4th step is to the near infrared spectrum number acquired in the chemical score and second step of oleic acid, linoleic acid and palmitinic acid in simple grain peanut
According to being fitted spectral manipulation, founding mathematical models respectively；
5th step is inputted mathematical prediction model according to the near infrared light spectrum information of the method acquisition sample to be tested of second step,
Determine the content of oleic acid in sample to be tested, linoleic acid and palmitinic acid.
2. according to the method described in claim 1, it is characterized by: the 4th step is specifically included to oleic acid, sub- oil in simple grain peanut
The near infrared spectrum data acquired in the chemical score and second step of acid and palmitinic acid is fitted spectral manipulation respectively, using partially most
The chemometrics method founding mathematical models of small square law (PLS) use cross-validation abnormal value elimination repeatedly, pass through
The coefficient of determination (the R of comparison model2) and mean square deviation (RMSECV) measurement model quality, screen best model；Then model is verified
Accuracy.
3. method according to claim 1 or 2, it is characterised in that: representational peanut seed is to lose from 520 parts
1000 or more peanut seeds of context enriched groundnut germplasm are passed, groundnut germplasm includes the micro core kind of China
Matter, the Mini core collection of ICRISAT and 224 parts of Chinese Peanut kinds.
4. method according to claim 1 or 2, it is characterised in that: the near infrared spectrum scanning Spectral range is 4000-
12500cm-1。
5. method according to claim 1 or 2, it is characterised in that: the near infrared ray, each sample take 1
Seed, multiple scanning 3 times, and second and third time peanut is changed into an angle when scanning and is reloaded in specimen cup, with
Obtain multiple near infrared spectrums of same sample.
6. according to the method described in claim 3, it is characterized by: in the mathematical model established, the decision system of oleic acid model
Number is 0.907, mean square deviation 3.463；The coefficient of determination of linoleate model is 0.918, mean square deviation 2.824；Palm acid profile
The coefficient of determination be 0.824, mean square deviation 0.782.
7. the construction method of the near-infrared spectroscopy of oleic acid, linoleic acid and palmitic acid content, packet in a kind of detection simple grain peanut
Include following steps:
The first step selects representational simple grain peanut seed as establishing oleic acid, linoleic acid and palmitinic acid mathematical prediction model
Standard sample collection；Representational peanut seed is from 1000 of 520 parts of genetic background groundnut germplasms abundant
Above peanut seed, groundnut germplasm include China Mini core collection, ICRISAT Mini core collection and 224 parts
Chinese Peanut kind；
Second step carries out near infrared ray to above-mentioned peanut sample using near infrared spectrometer, collects near infrared spectrum letter
Breath；
Oleic acid in the simple grain peanut seed that third step is concentrated standard sample using gas chromatography, linoleic acid and palmitinic acid contain
Amount is measured, and resulting value is chemical score corresponding with second step near infrared spectrum；
4th step is to the near infrared spectrum number acquired in the chemical score and second step of oleic acid, linoleic acid and palmitinic acid in simple grain peanut
According to spectral manipulation is fitted respectively, using the chemometrics method founding mathematical models of Partial Least Squares (PLS), repeatedly
Using cross-validation abnormal value elimination, model is measured by comparing the coefficient of determination (R2) and mean square deviation (RMSECV) of model
Quality screens best model；
The accuracy of 5th step model of a syndrome.
8. construction method according to claim 7, it is characterised in that: the near infrared spectrum scanning Spectral range is
4000-12500cm-1。
9. construction method according to claim 8, it is characterised in that: the near infrared ray, each sample take 1
Seed, multiple scanning 3 times, and second and third time peanut is changed into an angle when scanning and is reloaded in specimen cup, with
Obtain multiple near infrared spectrums of same sample.
10. construction method according to claim 9, it is characterised in that: the coefficient of determination of constructed oleic acid model is
0.907, mean square deviation 3.463；The coefficient of determination of linoleate model is 0.918, mean square deviation 2.824；Palm acid profile is determined
Determining coefficient is 0.824, mean square deviation 0.782.
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