CN102608058A - Rapid detection method of content of threonine in Cordyceps Mycelia powder - Google Patents
Rapid detection method of content of threonine in Cordyceps Mycelia powder Download PDFInfo
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- CN102608058A CN102608058A CN2012100517767A CN201210051776A CN102608058A CN 102608058 A CN102608058 A CN 102608058A CN 2012100517767 A CN2012100517767 A CN 2012100517767A CN 201210051776 A CN201210051776 A CN 201210051776A CN 102608058 A CN102608058 A CN 102608058A
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Abstract
The invention discloses a rapid detection method of the content of threonine in Cordyceps Mycelia powder. The rapid detection method comprises the following steps of: taking the Cordyceps Mycelia powder, and respectively acquiring reflexivity of the Cordyceps Mycelia powder corresponding to light waves with the wavelengths of 1204nm, 1215nm, 1476nm, 1537nm, 1693nm, 1717nm, 1738nm, 1922nm, 1962nm, 2058nm, 2099nm and 2205nm; converting each reflexivity into corresponding absorbance; and substituting each reflexivity into a multielement linear regression equation and calculating to obtain the content of the threonine in the Cordyceps Mycelia powder. The rapid detection method disclosed by the invention has the advantages of realizing rapid, lossless and accurate detection of the threonine in the Cordyceps Mycelia powder by carrying out multielement linear regression analysis on fewer characteristic wavelengths, greatly reducing the operation steps, shorting the detection time, reducing the environment pollution and decreasing the detection cost.
Description
Technical field
The present invention relates to cordyceps amino acid content detection range, relate in particular to a kind of cordyceps threonine content method for quick.
Background technology
Cordyceps sinensis belongs to Ascomycetes, Clavicipitaceae, Cordyceps, is the distinctive famous and precious strong tonic Chinese medicine material of China.Because the natural cordyceps producing region has limitation, output is rare, adds that unauthorized and excessive mining for a long time causes ecological disruption serious, and wild Chinese caterpillar fungus can not satisfy the growing market demand far away.Therefore a large amount of substitutes are developed, artificial fermentation's cordyceps the most effectively wherein, and the natural cordyceps fungal bacterial strain that is about to separate ferments, and obtains mycelium, obtains dry fungi powder after the purified again processing.Contain the compound of number of different types in the cordyceps, nutritious, have the enhancing body immunity, antifatigue, antitumor, liver protecting improves cardiovascular function, multiple pharmacologically active and functions such as the depletion of treatment kidney.
Amino acid is as one of main function composition, and the content in cordyceps can reach 20～40%, and comprises all human essential amino acids.Its threonine that contains (pantonine-hydroxyl butyl) is the 4th seed amino acid that is only second to methionine, lysine and tryptophane in eight kinds of essential amino acids, aspect medical industry, uses very extensively.Threonine is one of principal ingredient of amino acid infusion solutions clinically, have recover human-body fatigue, promote to grow, lipotropic effect.Can be used for treating hypoferric anemia, build up health, improve immunity etc.In natural cs; The content of threonine is about 1.8g/100g; And threonine content and proportional difference are very big in the fermentation cordyceps of being sold on the market, therefore, threonine content in the fermentation cordyceps are carried out detection by quantitative; Can be used as one of evaluation criterion of fermentation cordyceps quality, significant to the control product quality.
Traditional amino acid detection method is to use with ion-exchange chromatography more separates the automatic amino acid analyzer that each seed amino acid is the basis.According to GB T5009.124-2003; This methods analyst step is: take by weighing quantity of sample earlier in the hydrolysis pipe, add the hydrochloric acid of 6mol/L again, the phenol of new distillation; The hydrolysis pipe is freezing; Vacuum nitrogen filling gas again behind the triplicate, is placed on the hydrolysis pipe that has sealed hydrolysis 22h in 110 ± 1 ℃ the thermostatic drying chamber; Again hydrolyzate is all transferred to and used the deionized water constant volume in the 50mL volumetric flask; The last 0.200mL kilnitamin standard solution of accurately drawing is diluted to 5mL with the pH2.2 damping fluid, and this standard diluent concentration is 5.00nmol/50 μ L, as the amino acid titer of measuring usefulness; Amino acid content with automatic amino acid analyzer external standard method sample liquid to be measured.This method sample pre-service takes time and effort, complicated operation, and needs to use number of chemical reagent, not only can cause certain pollution to environment, and what have also can cause certain injury to human body.Therefore, be badly in need of research a kind of simple, quick, harmless amino acid detection method and technology.
In electromagnetic wavelength 800～2500nm scope is the frequency multiplication and the combined spectral band of material molecule vibrational spectrum; Contain hydrogen group C-H; O-H, N-H, S-H has very strong absorption to light wave; Thereby comprised the abundant information of most type organic constituentses and molecular structure, can be used for the quantitative measurement of material organic matter content.Near infrared spectrum has been widely used in fields such as agricultural, pharmacy, food and chemical industry because it can realize fast, not have destruction, pollution-free, low consumption ground analytic sample component, in fast detecting, product quality research, has very big application potential.
Summary of the invention
The invention provides a kind of cordyceps threonine content method for quick, be used for the cordyceps threonine content fast, harmless, accurately detect, solved problems such as existing detection method complex operation, consuming time, consumption power, cost height, contaminated environment.
A kind of cordyceps threonine content method for quick comprises:
(1) gets cordyceps, gather the reflectivity of wavelength 1204nm, 1215nm, 1476nm, 1537nm, 1693nm, 1717nm, 1738nm, 1922nm, 1962nm, 2058nm, 2099nm and the pairing cordyceps of 2205nm light wave respectively;
(2) each reflectivity is converted into corresponding absorbance;
(3) with each absorbance substitution multiple linear regression equations: y=-2.439 λ
1-29.211 λ
2+ 41.366 λ
3-29.424 λ
4+ 0.907 λ
5+ 19.425 λ
6+ 9.201 λ
7-9.569 λ
8+ 24.492 λ
9-23.382 λ
10-7.417 λ
11+ 5.594 λ
12+ 1.914, calculate the content of threonine in the cordyceps;
In the equation, y is the content of threonine in the cordyceps, and unit is g/100g; λ
1～λ
12Be respectively the absorbance of wavelength 1204nm, 1215nm, 1476nm, 1537nm, 1693nm, 1717nm, 1738nm, 1922nm, 1962nm, 2058nm, 2099nm and the pairing cordyceps of 2205nm light wave.
Because the cordyceps sample is non-transparent medium, when light-wave irradiation during on its surface, except that part was absorbed, all the other all reflected, and what (perhaps reflectivity) that light wave absorbs are relevant with the inner content of chemical substances of cordyceps.But concerning threonine wherein, the content of this type material is only relevant with the reflectivity under the few features wavelength.
In the step (1), the particle diameter of said cordyceps is preferably the 80-100 order.
Described cordyceps can for natural cs through powder dry, that obtain after pulverizing; Also can for artificial ferment cordyceps sinensis through powder dry, that obtain after pulverizing.
When adopting the artificial fermentation Chinese caterpillar fungus, described cordyceps can be the commercially available prod, comprises ferment cordyceps sinensis mycelium powder raw material, capsule preparations content, Cordyceps militaris mycelium powder etc.
Described cordyceps can also prepare through following method: activated Chinese caterpillar fungus strain is inoculated into carries out fermented and cultured in the fluid nutrient medium, separate obtaining mycelium after the fermented and cultured; Mycelium obtains cordyceps after dried, crushed.
Preferably, describedly be separated into centrifuging, centrifugal rotation speed is 1200 rev/mins, and the centrifugal time is 20 minutes, can nutrient culture media effectively be separated with mycelia like this.
Preferably, described bake out temperature is 95-105 ℃.This drying condition can reduce the destruction to beneficiating ingredient in the cordyceps (particularly threonine) down.
In the step (2), reflectivity is converted into absorbance and adopts following formula: A=log (1/R);
In the formula, R is a reflectivity, and A is an absorbance.
In the step (3), described absorbance is carried out smoothing processing, the said multiple linear regression equations of numerical value substitution that smoothing processing is obtained; In the equation, λ
1～λ
12Be respectively the numerical value that the absorbance of wavelength 1204nm, 1215nm, 1476nm, 1537nm, 1693nm, 1717nm, 1738nm, 1922nm, 1962nm, 2058nm, 2099nm and the pairing cordyceps of 2205nm light wave obtains after smoothing processing.
Described smoothing processing is preferably Savitzky Golay convolution smoothing processing (Savitzky Golay Smoothing).Savitzky Golay Smoothing convolution smoothing processing utilizes least square method to carry out best-fit, is the method for a kind of direct processing from data smoothing problem in the time domain.Compare other smoothing processing method and can farthest keep the distribution character of raw data relative maximum, minimal value and width etc., can effectively remove high frequency noise, improve signal to noise ratio (S/N ratio) through Savitzky Golay Smoothing convolution smoothing processing.
Characteristic wavelength choose or the structure of multiple linear regression equations can influence the detection effect of determinand largely.The present invention takes following method: using Fourier transform infrared spectroscopy to gather wavelength is the reflectivity of cordyceps under 800～2500nm light wave; With all band spectrum of whole samples of being obtained to the cordyceps threonine content carry out partial least-squares regressive analysis (Partial least squares, PLS); Set up after the model; Get the best number of principal components of fitting effect and calculate each wavelength and threonine content degree of correlation size now; The wave band that the intercepting degree of correlation is bigger, according to wavelength size its degree of correlation numerical value change figure that draws, the wavelength of finding out figure medium wave peak wave trough position is characteristic wavelength; With the reflectance value of the characteristic wavelength input variable as multiple linear regression model after transforming, the threonine content of actual measurement can obtain corresponding multiple linear regression equations as output variable through calculating.
The present invention passes through said method; The characteristic wavelength of choosing is respectively 1204nm, 1215nm, 1476nm, 1537nm, 1693nm, 1717nm, 1738nm, 1922nm, 1962nm, 2058nm, 2099nm and 2205nm; Structure obtains above-mentioned multiple linear regression equations, and is best to the Su Ji acid content prediction effect in the cordyceps.
The present invention carries out multiple linear regression analysis through the few features wavelength, has realized quick, harmless, the accurately detection of threonine content in the cordyceps, has significantly reduced operation steps, has shortened detection time, has reduced environmental pollution, has reduced the detection cost.
Description of drawings
Fig. 1 is modeled in optimum number of principal components each wavelength and threonine content degree of correlation variation diagram now in the embodiment of the invention based on the PLS all band;
Fig. 2 is a diffusing some distribution plan for modeling collection sample in the embodiment of the invention predicts the outcome;
Fig. 3 is a diffusing some distribution plan for forecast set sample in the embodiment of the invention predicts the outcome.
Embodiment
Threonine content detects in the embodiment fermentation cordyceps
The fermentation cordyceps that 189 parts of Zhongmei Huadong Pharmaceutical Co., Ltd. Hangzhou of random collecting produce, the more representative and diversity for the sample that makes collection, sample comprises the lot number on different days in the shelf-life.Can make the threonine content in the sample have bigger scope, make institute's established model have better adaptability and robustness.
(1) 189 fermentation cordyceps samples is dried to constant weight; Use Brooker Fourier transform spectrometer, MPA to measure the reflectance value of fermentation cordyceps sample all band spectrum then; Utilize the content of the mentioned classic method of background technology with threonine in full-automatic all samples of amino-acid analyzer Biochrom 30+ measurement simultaneously, chromatographic column is Na
+Cation exchange column.
(2) 126 samples of picked at random are as modeling collection sample, and all the other 63 as the forecast set sample.
(3) reflectivity with all samples of gained is converted into absorbance, and does Savitzky Golay Smoothing convolution smoothing processing.
The full spectrum of the modeling collection that (4) obtains with Fourier transform spectrometer, carries out partial least-squares regressive analysis to threonine content; Set up after the model; Get the best number of principal components of fitting effect now (being 9 major components in this sample) calculate each wavelength and threonine content degree of correlation size; The wave band that the intercepting degree of correlation is bigger; According to wavelength size its degree of correlation numerical value change figure (Fig. 1) that draws, the wavelength of finding out this figure medium wave peak wave trough position is respectively 1204nm, 1215nm, 1476nm, 1537nm, 1693nm, 1717nm, 1738nm, 1922nm, 1962nm, 2058nm, 2099nm and 2205nm as characteristic wavelength.
(5) then with the pairing value of each characteristic wavelength of modeling collection as independent variable; Threonine content is as dependent variable in the fermentation cordyceps that corresponding actual measurement obtains; Utilize multiple linear regression analysis method (Multiple linear regression MLR) obtains following multiple linear regression equations:
y＝-2.439λ
1-29.211λ
2+41.366λ
3-29.424λ
4+0.907λ
5+19.425λ
6+9.201λ
7-9.569λ
8+24.492λ
9-23.382λ
10-7.417λ
11+5.594λ
12+1.914
In the equation, y is the content of threonine in the fermentation cordyceps, and unit is g/100g DW; λ
1～λ
12Be respectively the numerical value after the pairing fermentation cordyceps sample of wavelength 1204nm, 1215nm, 1476nm, 1537nm, 1693nm, 1717nm, 1738nm, 1922nm, 1962nm, 2058nm, 2099nm and 2205nm absorbance is passed through Savitzky Golay Smoothing convolution smoothing processing.
Utilize above-mentioned multiple linear regression equations that the threonine content of modeling collection and forecast set fermentation cordyceps is predicted, and estimate predicting the outcome.Related coefficient approaches 1 more in the evaluation index, and the absolute value of root-mean-square error, deviation and the absolute value of intercept are more little, explains that the model prediction performance is good more.The result is following:
Table 1
Modeling collection and forecast set predicted the outcome shows that the measured value of threonine content and the related coefficient between the predicted value reach more than 0.9 in the fermentation cordyceps, and root-mean-square error is less, has reached desirable precision of prediction.The scatter diagram that predicts the outcome as shown in Figures 2 and 3, the point that looses among the figure is evenly distributed in the regression straight line both sides.The The above results explanation, the present invention can realize fast, can't harm, detect exactly the content of threonine in the cordyceps.
Claims (6)
1. cordyceps threonine content method for quick comprises:
(1) gets cordyceps, gather the reflectivity of wavelength 1204nm, 1215nm, 1476nm, 1537nm, 1693nm, 1717nm, 1738nm, 1922nm, 1962nm, 2058nm, 2099nm and the pairing cordyceps of 2205nm light wave respectively;
(2) each reflectivity is converted into corresponding absorbance;
(3) with each absorbance substitution multiple linear regression equations: y=-2.439 λ
1-29.211 λ
2+ 41.366 λ
3-29.424 λ
4+ 0.907 λ
5+ 19.425 λ
6+ 9.201 λ
7-9.569 λ
8+ 24.492 λ
9-23.382 λ
10-7.417 λ
11+ 5.594 λ
12+ 1.914, calculate the content of threonine in the cordyceps;
In the equation, y is the content of threonine in the cordyceps, and unit is g/100g; λ
1～λ
12Be respectively the absorbance of wavelength 1204nm, 1215nm, 1476nm, 1537nm, 1693nm, 1717nm, 1738nm, 1922nm, 1962nm, 2058nm, 2099nm and the pairing cordyceps of 2205nm light wave.
2. cordyceps threonine content method for quick according to claim 1 is characterized in that, in the step (1), the particle diameter of said cordyceps is the 80-100 order.
3. cordyceps threonine content method for quick according to claim 1; It is characterized in that; In the step (1); Described cordyceps prepares through following method: activated Chinese caterpillar fungus strain is inoculated into carries out fermented and cultured in the fluid nutrient medium, separate obtaining mycelium after the fermented and cultured; Mycelium obtains cordyceps after dried, crushed.
4. cordyceps threonine content method for quick according to claim 3 is characterized in that described bake out temperature is 95-105 ℃.
5. cordyceps threonine content method for quick according to claim 1 is characterized in that, in the step (3), described absorbance is carried out smoothing processing, the said multiple linear regression equations of numerical value substitution that smoothing processing is obtained; In the equation, λ
1～λ
12Be respectively the numerical value that the absorbance of wavelength 1204nm, 1215nm, 1476nm, 1537nm, 1693nm, 1717nm, 1738nm, 1922nm, 1962nm, 2058nm, 2099nm and the pairing cordyceps of 2205nm light wave obtains after smoothing processing.
6. cordyceps threonine content method for quick according to claim 5 is characterized in that, described smoothing processing is a Savitzky Golay convolution smoothing processing.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103487398A (en) * | 2013-09-30 | 2014-01-01 | 中粮生物化学（安徽）股份有限公司 | Analysis method of lysine fermentation liquid |
| CN103558161A (en) * | 2013-11-12 | 2014-02-05 | 劲牌有限公司 | Near infrared detection method for cordycepic acid content of cordyceps sinensis |
| CN104568773A (en) * | 2014-12-21 | 2015-04-29 | 华东交通大学 | Device and method for detecting activity of superoxide dismutase of tomato leaves by in-situ spectrum |
| CN104568772A (en) * | 2014-12-21 | 2015-04-29 | 华东交通大学 | Device and method for detecting content of glutamic acid of tomato leaves by multi-angle in-situ spectrum |
| CN105784592A (en) * | 2014-12-21 | 2016-07-20 | 华东交通大学 | Apparatus for multi-angle in situ spectrum detection of activity of peroxidase in tomato leaves, and method thereof |
| RU2811528C1 (en) * | 2023-06-23 | 2024-01-15 | федеральное государственное бюджетное образовательное учреждение высшего образования "Волгоградский государственный аграрный университет" (ФГБОУ ВО Волгоградский ГАУ) | Method of quantitative determination of threonine on infrared analyzers bruker mpa or bruker tango-r in feed threonine |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101706421A (en) * | 2009-11-19 | 2010-05-12 | 浙江大学 | Characteristic wave bands based method and device for rapidly detecting content of proteins in black fungi |
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Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101706421A (en) * | 2009-11-19 | 2010-05-12 | 浙江大学 | Characteristic wave bands based method and device for rapidly detecting content of proteins in black fungi |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103487398A (en) * | 2013-09-30 | 2014-01-01 | 中粮生物化学（安徽）股份有限公司 | Analysis method of lysine fermentation liquid |
| CN103487398B (en) * | 2013-09-30 | 2016-05-25 | 中粮生物化学（安徽）股份有限公司 | A kind of analytical method of lysine fermentation liquor |
| CN103558161A (en) * | 2013-11-12 | 2014-02-05 | 劲牌有限公司 | Near infrared detection method for cordycepic acid content of cordyceps sinensis |
| CN104568773A (en) * | 2014-12-21 | 2015-04-29 | 华东交通大学 | Device and method for detecting activity of superoxide dismutase of tomato leaves by in-situ spectrum |
| CN104568772A (en) * | 2014-12-21 | 2015-04-29 | 华东交通大学 | Device and method for detecting content of glutamic acid of tomato leaves by multi-angle in-situ spectrum |
| CN105784592A (en) * | 2014-12-21 | 2016-07-20 | 华东交通大学 | Apparatus for multi-angle in situ spectrum detection of activity of peroxidase in tomato leaves, and method thereof |
| RU2811528C1 (en) * | 2023-06-23 | 2024-01-15 | федеральное государственное бюджетное образовательное учреждение высшего образования "Волгоградский государственный аграрный университет" (ФГБОУ ВО Волгоградский ГАУ) | Method of quantitative determination of threonine on infrared analyzers bruker mpa or bruker tango-r in feed threonine |
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Application publication date: 20120725 |