CN106053742B - A kind of the quality determination method and its evaluation method of peanut-sprout peanut - Google Patents
A kind of the quality determination method and its evaluation method of peanut-sprout peanut Download PDFInfo
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Abstract
The present invention relates to a kind of quality determination method of peanut-sprout peanut and its evaluation methods, and this approach includes the following steps：Measure all kinds of fruits benevolence weight, kernel diameter, water content, crude protein content, polyoses content, crude fat content, three Daily gains and the crude fiber content of peanut to be measured；Above-mentioned each measured value is substituted into quality comprehensive score Y general comment of the following formula to get peanut-sprout peanut：Y general comments=+ 0.02156 × tri-+0.02708 × crude fiber content of Daily gain of+0.0906 × crude fat content of 2.3160709 0.00898 × all kinds of fruits benevolence weight+0.01935 × crude protein content 0.01062 × kernel diameter+0.04051 × polyoses content of+0.01285 × water content.It can predict whether a certain peanut varieties are suitable for peanut-sprout and produce using such quality determination method and evaluation method, analysis method is simple, standardization level is high, it confirms that its is objective by model verification, whether accurately reflect peanut varieties suitable for peanut-sprout, it is simple and easy to do in production practice.
Description
Technical field
The present invention relates to a kind of quality determination method of peanut-sprout peanut and its evaluation methods, belong to nutrition and food
Manufacture field.
Background technology
Peanut is the main economical crops in China as a kind of oil crops.Since its nutritive value is abundant, peanut adds
Chemical product is increasingly valued by people.In recent years, occur a kind of new shoot vegetable in the market --- peanut-sprout at
In order to discuss hot spot.Peanut-sprout can soilless culture in the environment of manual control, without fertilising, floor space is small, can also stand
Body is cultivated, and is a kind of nuisanceless free of contamination pollution-free food.There is nutrition because it contains abundant nutrition and dietary fiber
The effect of health care receives liking for consumers in general.Since the germination of peanut can be such that the protein in its cotyledon is hydrolyzed to
The amino acid being easily absorbed by the human body, fat content is also due to grease conversion substantially reduces for heat, therefore widely by people
It praises, makes the people for fearing to fill out that can also trust edible；Meanwhile the mines such as vitamin and iron, zinc, potassium, calcium are rich in peanut sprout
Prime element also has the various amino acid of needed by human body, is praised as " papaw bud ".
But the peanut of not all kind all suitable for producing peanut-sprouts, pick out nutritive value height, the speed of growth
Fast high-quality peanut kind is of great significance for the exploitation and popularization of peanut-sprout.Peanut-sprout will be sent out for peanut processing future
One of trend of exhibition has enormous potentialities and business opportunity, but in influence to peanut-sprout quality of peanut quality, kind, suitable
Preferably processing peanut-sprout peanut varieties quality research aspect, there is not been reported.
Invention content
The object of the present invention is to provide a kind of quality determination method of peanut-sprout peanut and its evaluation methods, utilize this
Method can predict whether a certain peanut varieties produce suitable for peanut-sprout, to overcome current peanut-sprout processing industry to use kind
Produce the wasting of resources caused by peanut-sprout and economic loss.This method is easy to operate, rapidly and efficiently, accuracy is high, basis
Data cover is wide, can accurately select using artificial cultivation as edible peanut bean sprout and can introduce to the market and bring economic benefit
Peanut-sprout peanut varieties.
In order to achieve the above objectives, it specifically adopts the following technical scheme that：
A kind of the quality determination method and its evaluation method of peanut-sprout peanut, are as follows：
Measure all kinds of fruits benevolence weight, kernel diameter, water content, crude protein content, the polysaccharide of the measurement peanut to be measured of peanut to be measured
Content, crude fat content, three Daily gains and crude fiber content；
Above-mentioned each measured value is substituted into quality comprehensive score Y general comment of the following formula to get peanut-sprout peanut：
Y general comments=2.3160709-0.00898 × all kinds of fruits benevolence weight -0.01062 × kernel of+0.01935 × crude protein content is straight
The Daily gain of diameter+0.01285 × water content+0.04051 × polyoses content+0.0906 × crude fat content+0.02156 × tri-+
0.02708 × crude fiber content.
According to following 1）~3）Standard classify to peanut to be measured：
If 1) the Y synthesis≤8.0 of the peanut, peanut to be measured are not suitable for peanut-sprout processing；
If 2) the Y synthesis of the peanut is 8.01~8.99, peanut to be measured is processed suitable for peanut-sprout substantially；
If 3) the Y synthesis >=9.0 of the peanut, peanut to be measured produces suitable for peanut-sprout.
All kinds of fruits benevolence weight is the grams of 100 peanuts randomly selected in same kind in the present invention.Kernel diameter refers to 100
The average of the lateral longest diameter of grain kernel and the half of the sum of longitudinal longest diameter.Water content, crude protein content, polysaccharide contain
Amount, crude fat content and crude fiber content are respectively that water content, crude protein, polysaccharide, crude fat and crude fiber content account for flower to be measured
Raw mass percentage.
Three Daily gain measurement methods are as follows in the present invention：The shelled peanut of all kinds of fruits benevolence dry weight will be measured, clear water rinses, then
The tap water of 4 times of seed benevolence weight, 6 ~ 8h of soaking at room temperature imbibition is added in 80 DEG C of hot-water soak 5min, rapid drainage.What measurement soaked
All kinds of fruits weight A1, the seed soaked is pulled out from clear water, is uniformly placed in the cultivation dish of peanut sprout, 23-26 DEG C, germination 72
Weight A2 is measured after hour.Three Daily gains=（A2-A1）/A1×100%.
The present invention provides a kind of the quality determination method and its evaluation method of peanut-sprout peanut, the advantage is that：
(1) invention can detect and be predicted by the quality determination method and its evaluation method of a kind of peanut-sprout peanut
The suitability and quality of peanut-sprout processing, analysis method is simple, and standardization level is high, its visitor is confirmed by model verification
It sees, whether accurately reflect peanut varieties suitable for peanut-sprout, it is simple and easy to do in production practice；
(2) present invention is evaluated with a variety of physical and chemical indexes of peanut, is avoided because of the individual difference in sensory evaluation
And deviation caused by the human factors such as hobby, it more can objectively reflect the quality of product, commenting for suitability is processed for peanut-sprout
Valence provides theoretical foundation and technical support；
(3) model is using all kinds of fruits benevolence weight, kernel diameter, water content, the intuitive index of three Daily gain three, the thick egg of cooperation
Four Bai Hanliang, polyoses content, crude fat content and crude fiber content indirect indexes cooperate, and model-fitting degree is good, calculates
As a result accuracy is high；
(4) model is used to predict the key index of peanut-sprout processing quality and suitable for processing peanut-sprout peanut
The screening of specific breed lays the foundation, and also can avoid enterprise and blindly selects peanut varieties when producing peanut-sprout, while to educate
Kind researcher provides theoretical foundation and reference.
Specific implementation mode
The present invention is further explained in the light of specific embodiments, to help present disclosure is understood.
The materials, reagents and the like used in the following examples is commercially available unless otherwise specified；Experiment side
Method is conventional method unless otherwise specified.
Data processing of following embodiments per step is all that the t methods of inspection, p≤0.05 is used to think result significant difference,
Entire data processing is to use 9.1 software of SPSS 19.0 and SAS.
Embodiment l
A kind of the quality determination method and its evaluation method of peanut-sprout peanut, by following steps：
All kinds of fruits benevolence weight, kernel diameter, water content, crude protein content, the polysaccharide that peanut sample is measured using conventional method are contained
Amount, crude fat content, three Daily gains and crude fiber content, as shown in table 1.
The attributional analysis of 1 peanut varieties to be measured of table
Numerical value in above-mentioned table 1 is substituted into the quality comprehensive score Y general comments of peanut-sprout peanut：
Y general comments=2. 3160709-0.00898 ×+0. -0.01062 × kernel of 01935 × crude protein content of all kinds of fruits benevolence weight
The Daily gain of diameter+0.01285 × water content+0.04051 × polyoses content+0.0906 × crude fat content+0.02156 × tri-
+ 0.02708 × crude fiber content
It obtains product to be tested to cultivate peanut bean sprout quality Y general comment values, such as the following table 2:
The bean sprout attributional analysis of 2 peanut varieties to be measured of table
Peanut-sprout Y general comment values in table 2 finally obtain four red, Hua Yu of kind with suitability evaluation standard comparison
33, Y general comments value >=9.0 of sweet osmanthus 21, it is one suitable in suitability evaluation standard to meet.
According to above-mentioned steps (3) as a result, the kind of determination optimum peanut-sprout production is red for four, spends and educates 33, osmanthus
Spend 21.
Embodiment 2：A kind of foundation of suitable peanut-sprout peanut quality evaluation model
L, the measurement of peanut quality
Take the peanut sample 20 of harvest in 2015（Meet the normal distribution rule of peanut group）Including white sand 1016, sea
Flower, the Weihe River spend No. 8, it is rich spend No. 1, mountain flower No. 9, flower educate that 22, Henan spends 9414, mound to spend 12, flower educates 23, flower and educates 19, flower and educates 25, abundant China
19, flower educate 51, sweet osmanthus 17, open 1517, flower educate raw 53, white flower, colorful peanut, mound spend 16, mound spend 13 and Yueyou 256 measure each product
Kind organoleptic quality, physics and chemistry nutritional quality and processing quality index totally 10 indexs；To selected 15 peanut varieties master datas
Variation range, mean value, standard deviation, the coefficient of variation analyzed, the results are shown in Table 1；
The quality characteristic of 1 peanut varieties of table
2, peanut-sprout quality evaluation index analysis
2.1 peanut-sprout correlation analysis
Correlation analysis is used herein, and it is related between peanut-sprout quality to establish regression equation evaluation peanut raw material characteristic
Relationship randomly selects 15 kinds as Models Sets are established from 20 kinds first, and remaining 5 kinds are as verification model
Collection.
First, 15 kind peanuts, 6 indexs are subjected to correlation analysis, as a result, it has been found that, all kinds of fruits benevolence weight, kernel diameter with
Peanut-sprout yield, Vc contents are in significantly negative correlation, and all kinds of fruits benevolence weight and kernel diameter are bigger, and the yield of peanut-sprout, Vc contain
Amount is lower, conversely, three Daily gains are higher, the yield of peanut-sprout is higher, it may be possible to influence the important indicator of peanut-sprout.
According to correlation analysis it is found that the significant difference of ash disposal exceptionally remaining index, therefore delete ash content this index.Remaining refers to
In close relations between mark, a kind of index can restrict or increase the variation of another index, mutually restrict, shifting.
2.2 principal component regressions establish model
(1) it is screened suitable for processing the peanut characteristic index of peanut-sprout
It is according to the thought of regression analysis, the single index of peanut characteristic and peanut-sprout integrated value progress regression coefficient is notable
Property analysis, find all kinds of fruits benevolence weight, kernel diameter, water content, crude protein content, polyoses content, crude fat content, three Daily gains
With 8 indexs of crude fiber content in 0. 05 horizontal upper and peanut-sprout integrated values in significant relation, the correlation of this 6 indexs
Contribution rate is more than 95%, and wherein 4 all kinds of fruits benevolence weight, kernel diameter, crude protein content and three Daily gains indexs are in 0. 01 levels
Upper and peanut-sprout integrated value is in pole significant relation.
(2) foundation of regression equation
Find that above-mentioned 8 indexs and the regression coefficient of peanut-sprout integrated value have in 0.05 level according to regression analysis
Therefore conspicuousness establishes the relationship between each peanut characteristic index and peanut-sprout integrated value, the coefficient of determination R of the model
Value is 0.937, and then establishes the relationship of each index and peanut-sprout integrated value, as a result sees formula A：
Y general comments=- 0. 01062 × fruit of 2.+0. 01935 × crude protein content of 3160709-0. 00898 × all kinds of fruits benevolence weights
+ 0.0906 × crude fat content of benevolence diameter+0.04051 × polyoses content of+0.01285 × water content+0. 02156 × tri- increases day by day
02708 × the crude fiber content of rate+0. again（Formula A）
The verification of 2.3 models
Model verification is carried out using remaining 5 kinds, use it to the accuracy of verification institute established model and promotes applicability.It will
All kinds of fruits benevolence weight of 5 peanut varieties, kernel diameter, water content, crude protein content, polyoses content, crude fat content, three daily gains
8 indexs of rate and crude fiber content substitute into formula, calculate the peanut-sprout Y general comment values of 6 kinds, and by the model calculation with
Peanut-sprout integrated value carries out regression analysis, coefficient R=0. 8924 of the two（Table 2）.
2.4 suitable for processing peanut-sprout peanut evaluating characteristics standard and suitability analysis
2.4.1 peanut-sprout criteria for classification divides
The peanut-sprout integrated value for establishing model and prediction model totally 20 kinds is subjected to clustering（Classification number be
3）, 20 peanut varieties are divided into suitable, substantially suitable and are not suitable for three classes (table 3), as suitable for processing peanut sprout cauliflower
The foundation of raw evaluating characteristics standard.
3 different peanut varieties peanut-sprout of table plants evaluation result
2 result of table is compared with the result of table 3 with the peanut-sprout growth experiment actually carried out, the two matching degree：
It is suitably 95%, is suitably 96% substantially, discomfort is preferably 89%, and the evaluation result is preferable, is suitable as using suitable for processing peanut-sprout
Peanut quality evaluation criterion.
The above description is merely a specific embodiment, it is not limited to this, any skill for being familiar with the art
Art personnel in the technical scope disclosed by the present invention, can easily think of the change or the replacement, and should all cover the protection model in the present invention
Within enclosing.
Claims (2)
1. a kind of quality determination method of peanut-sprout peanut, which is characterized in that include the following steps：
Measure all kinds of fruits benevolence weight of peanut to be measured, kernel diameter, water content, crude protein content, polyoses content, crude fat content, three
Daily gain and crude fiber content；
Above-mentioned each measured value is substituted into quality comprehensive score Y general comment of the following formula to get peanut-sprout peanut：
Y general comments=2.3160709-0.00898 × all kinds of fruits benevolence weight -0.01062 × kernel of+0.01935 × crude protein content diameter+
The Daily gain of 0.01285 × water content+0.04051 × polyoses content+0.0906 × crude fat content+0.02156 × tri-+
0.02708 × crude fiber content；
The water content, crude protein content, polyoses content, crude fat content and crude fiber content are respectively that it accounts for peanut to be measured
Mass percentage；Wherein, three Daily gain measurement methods are as follows：The shelled peanut of all kinds of fruits benevolence dry weight will be measured, clear water rinses, so
The tap water of 4 times of seed benevolence weight, 6~8h of soaking at room temperature imbibition is added in 80 DEG C of hot-water soak 5min afterwards, rapid drainage；Measure bubble
Good all kinds of fruits weight A1, soaked seed is pulled out from clear water, is uniformly placed in the cultivation dish of peanut sprout, 23-26 DEG C,
Germination measures weight A2 after 72 hours；Three Daily gains=(A2-A1)/A1 × 100%.
2. a kind of quality determination method of peanut-sprout peanut, which is characterized in that the Y general comments obtained according to claim 1 are pressed
According to it is following 1)~3) standard classify to peanut to be measured：
If 1) general comment >=1.50 Y of the peanut, peanut to be measured produces suitable for peanut-sprout；
If 2) the Y general comments of the peanut are to be less than 1.5 more than 0.88, peanut to be measured is processed suitable for peanut-sprout substantially；
If 3) general comment≤0.88 Y of the peanut, peanut to be measured is not suitable for peanut-sprout processing.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110487975A (en) * | 2019-08-28 | 2019-11-22 | 上海市农业科学院 | A kind of measuring method and its evaluation method of mushroom comprehensive nutrient quality |
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| CN107228809B (en) * | 2017-05-09 | 2018-11-06 | 中国农业科学院农产品加工研究所 | A kind of peanut quality evaluation method and device suitable for peanut processing of lying fallow |
| CN115049310A (en) * | 2022-07-19 | 2022-09-13 | 江苏省农业科学院 | Comprehensive evaluation method for nutrition quality of cabbage and application thereof |
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| CN102177842A (en) * | 2010-12-06 | 2011-09-14 | 山东省花生研究所 | Breeding method for once measuring quality of peanuts selected by multiple indexes |
| CN103283575A (en) * | 2013-06-17 | 2013-09-11 | 何寒 | Cultivation method of peanut buds rich in selenium |
| CN104914223A (en) * | 2015-06-02 | 2015-09-16 | 中国农业科学院农产品加工研究所 | Determination method and evaluation method of quality of peanuts for peanut sauce |
| CN105181642A (en) * | 2015-10-12 | 2015-12-23 | 华中农业大学 | Near-infrared detection method for peanut quality and application |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102177842A (en) * | 2010-12-06 | 2011-09-14 | 山东省花生研究所 | Breeding method for once measuring quality of peanuts selected by multiple indexes |
| CN103283575A (en) * | 2013-06-17 | 2013-09-11 | 何寒 | Cultivation method of peanut buds rich in selenium |
| CN104914223A (en) * | 2015-06-02 | 2015-09-16 | 中国农业科学院农产品加工研究所 | Determination method and evaluation method of quality of peanuts for peanut sauce |
| CN105181642A (en) * | 2015-10-12 | 2015-12-23 | 华中农业大学 | Near-infrared detection method for peanut quality and application |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110487975A (en) * | 2019-08-28 | 2019-11-22 | 上海市农业科学院 | A kind of measuring method and its evaluation method of mushroom comprehensive nutrient quality |
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