CN114910440A - Method for rapidly analyzing quality stability of feed liquid preparation - Google Patents
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- 239000007788 liquid Substances 0.000 title claims abstract description 154
- 238000000034 method Methods 0.000 title claims abstract description 43
- 238000002360 preparation method Methods 0.000 title claims abstract description 23
- 235000000346 sugar Nutrition 0.000 claims abstract description 118
- 238000002329 infrared spectrum Methods 0.000 claims abstract description 45
- 238000004445 quantitative analysis Methods 0.000 claims abstract description 26
- 239000000463 material Substances 0.000 claims description 24
- 238000012545 processing Methods 0.000 claims description 11
- 238000012937 correction Methods 0.000 claims description 10
- 238000007781 pre-processing Methods 0.000 claims description 7
- 239000012527 feed solution Substances 0.000 claims description 4
- 238000005206 flow analysis Methods 0.000 claims description 4
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 4
- 230000003595 spectral effect Effects 0.000 claims description 2
- 235000019504 cigarettes Nutrition 0.000 description 10
- 238000001228 spectrum Methods 0.000 description 8
- 238000004458 analytical method Methods 0.000 description 7
- 241000208125 Nicotiana Species 0.000 description 5
- 235000002637 Nicotiana tabacum Nutrition 0.000 description 5
- 238000004364 calculation method Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 239000000203 mixture Substances 0.000 description 3
- 238000009472 formulation Methods 0.000 description 2
- 238000004433 infrared transmission spectrum Methods 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 238000003908 quality control method Methods 0.000 description 2
- 230000000391 smoking effect Effects 0.000 description 2
- 239000000126 substance Substances 0.000 description 2
- 238000010521 absorption reaction Methods 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000009614 chemical analysis method Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000009826 distribution Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 239000003205 fragrance Substances 0.000 description 1
- 238000009499 grossing Methods 0.000 description 1
- 230000007794 irritation Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000013441 quality evaluation Methods 0.000 description 1
- 238000001448 refractive index detection Methods 0.000 description 1
- 229920006395 saturated elastomer Polymers 0.000 description 1
- 239000000779 smoke Substances 0.000 description 1
- 239000000243 solution Substances 0.000 description 1
- 238000003756 stirring Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 150000008163 sugars Chemical class 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
- G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light
- G01N21/359—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light using near infrared light
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
- G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light
- G01N21/3577—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light for analysing liquids, e.g. polluted water
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Abstract
The invention discloses a method for rapidly analyzing the quality stability of feed liquid preparation, which comprises the steps of collecting near infrared spectra of a plurality of qualified feed liquid samples with different brands and measuring the water-soluble total sugar content of the qualified feed liquid samples; constructing a near infrared quantitative analysis model between the near infrared spectrum and the water-soluble total sugar content according to the water-soluble total sugar content and the near infrared spectrum of each qualified feed liquid sample; respectively determining the water-soluble total sugar threshold value corresponding to each grade of qualified feed liquid according to the water-soluble total sugar content of each qualified feed liquid sample; determining the near infrared spectrum of the feed liquid sample to be detected, and determining the water-soluble total sugar content of the feed liquid sample to be detected based on the near infrared spectrum and a near infrared quantitative analysis model of the feed liquid sample to be detected; and comparing the water-soluble total sugar content of the feed liquid sample to be detected with the water-soluble total sugar threshold corresponding to the qualified feed liquid with the same mark to judge the stability of the preparation quality of the feed liquid to be detected. The method can quickly and simply evaluate the stability of the preparation quality of the feed liquid.
Description
Technical Field
The invention relates to the field of application of near infrared spectrum analysis technology, in particular to a method for rapidly analyzing the stability of preparation quality of feed liquid.
Background
The feed liquid for the cigarettes can adjust the pH value of the smoke, improve the smoking taste of the cigarettes, improve the smoking comfort, properly increase the fragrance of the cigarettes, cover and remove bad miscellaneous gas and irritation and the like brought by the tobacco leaves, and the quality stability of the feed liquid directly influences the quality of cigarette products. The water-soluble sugar is the most important component of the feed liquid for the cigarettes, so in order to realize the stability of the quality of the feed liquid for the cigarettes, the stability of the content of the water-soluble sugar in the feed liquid in the preparation process needs to be ensured, namely, the content of the water-soluble sugar in a feed liquid sample for the cigarettes is accurately measured, and the method has important significance for the quality evaluation of the feed liquid and the guidance of accurate feeding.
In the prior art, the sugar content in the feed liquid is generally measured by using a chemical analysis method, and the measuring process is complicated and takes a long time.
Disclosure of Invention
The invention mainly aims to solve the problems of complicated measurement process and long time consumption of the content of the water-soluble sugar in the feed liquid in the prior art.
In order to achieve the above object, an embodiment of the present invention provides a method for rapidly analyzing the stability of the preparation quality of a feed liquid, which can rapidly and efficiently determine and evaluate the content of water-soluble sugar in the feed liquid, the method including:
collecting near infrared spectra of a plurality of qualified feed liquid samples with different brands, and determining the water-soluble total sugar content in each qualified feed liquid sample;
constructing a near infrared quantitative analysis model between the near infrared spectrum and the water-soluble total sugar content according to the water-soluble total sugar content and the near infrared spectrum of each qualified feed liquid sample;
respectively determining the water-soluble total sugar threshold corresponding to each grade of qualified feed liquid according to the water-soluble total sugar content of each qualified feed liquid sample;
collecting the near infrared spectrum of the feed liquid sample to be detected, and determining the water-soluble total sugar content of the feed liquid sample to be detected based on the near infrared spectrum and the near infrared quantitative analysis model of the feed liquid sample to be detected;
and comparing the water-soluble total sugar content of the sample of the feed liquid to be detected with the water-soluble total sugar threshold corresponding to the qualified feed liquid with the same mark as the sample of the feed liquid to be detected so as to judge the stability of the preparation quality of the feed liquid to be detected.
Optionally, constructing a near-infrared quantitative analysis model between the near-infrared spectrum and the water-soluble total sugar content according to the water-soluble total sugar content and the near-infrared spectrum of each qualified feed liquid sample comprises:
preprocessing the collected near infrared spectrum of each qualified feed liquid sample, and selecting a wave band representing the sugar content from the preprocessed near infrared spectrum;
and (3) according to the water-soluble total sugar content of each qualified feed liquid sample and the wave bands for representing the sugar content, constructing a near-infrared quantitative analysis model by using a partial least square method.
Optionally, the preprocessing comprises at least one of multivariate scatter correction processing, first derivative processing, and second derivative processing.
Optionally, the wave band for characterizing the sugar content is 5500-7500 cm -1 And 4100-4600 cm -1 And the near infrared spectral band in between.
Alternatively, the water soluble total sugar content of the feed solution sample is determined using continuous flow analysis.
Optionally, a near-infrared spectrometer is used for collecting the near-infrared spectrum of each feed liquid sample, and the wavelength scanning range of the near-infrared spectrometer is 4000-10000 cm -1 Resolution of 8cm -1 The number of scans was 64.
Optionally, respectively determining the water-soluble total sugar threshold corresponding to each grade of qualified feed liquid according to the water-soluble total sugar content of each qualified feed liquid sample comprises:
classifying the water-soluble total sugar content of all the collected qualified feed liquid samples according to the grade;
calculating the average value and the standard deviation of the total sugar content corresponding to the feed liquid with the same mark according to the water-soluble total sugar content of each qualified feed liquid sample with the same mark;
and determining the water-soluble total sugar threshold value corresponding to each grade of feed liquid according to the average value and the standard deviation of the total sugar content corresponding to each grade of qualified feed liquid sample.
Compared with the prior art, the technical scheme of the invention has the following advantages:
according to the method for rapidly analyzing the quality stability of the feed liquid preparation, provided by the embodiment of the invention, the standard content of the water-soluble total sugar of different brands is obtained by collecting the prepared finished products of the feed liquid for the cigarettes of different brands and batches, and the quality stability of the feed liquid preparation can be evaluated according to the fluctuation range of the sugar content of the sample feed liquid to be tested.
Drawings
FIG. 1 is a flow chart of a method for rapid analysis of quality stability of a feed solution formulation according to the present invention;
FIG. 2 is an original near infrared spectrum of a feed liquid of different grades provided by the present invention;
FIG. 3 is a near infrared spectrum of pretreated feed liquid of different grades provided by the present invention;
FIG. 4 shows the predicted result of water-soluble total sugar of sample A under test;
FIG. 5 shows the predicted result of water-soluble total sugar in sample of feed liquid to be tested under grade B;
FIG. 6 shows the predicted result of water-soluble total sugar of sample to be tested under C-brand;
FIG. 7 shows the predicted result of water-soluble total sugar of sample of feed liquid to be tested under grade D.
Detailed Description
The following description of the embodiments of the present invention is provided for illustrative purposes, and other advantages and effects of the present invention will become apparent to those skilled in the art from the present disclosure. While the invention will be described in conjunction with the preferred embodiments, it is not intended that the features of the invention be limited to that embodiment. On the contrary, the invention is described in connection with the embodiments for the purpose of covering alternatives or modifications that may be extended based on the claims of the present invention. In the following description, numerous specific details are included to provide a thorough understanding of the invention. The invention may be practiced without these particulars. Moreover, some of the specific details have been left out of the description in order to avoid obscuring or obscuring the focus of the present invention. It should be noted that the embodiments and features of the embodiments may be combined with each other without conflict.
It should be noted that in this specification, like reference numerals and letters refer to like items in the following drawings, and thus, once an item is defined in one drawing, it need not be further defined and explained in subsequent drawings.
To make the objects, technical solutions and advantages of the present invention more apparent, embodiments of the present invention will be described in detail with reference to the accompanying drawings.
As shown in fig. 1, an embodiment of the present invention provides a method for rapidly analyzing quality stability of a feed liquid, and in particular, the method may be applied to analysis and detection of quality stability of a feed liquid for tobacco. The rapid analysis of feed liquid preparation quality stability may include:
and S1, collecting the water-soluble total sugar content and the near infrared spectrum of a plurality of qualified feed liquid samples with different brands.
Specifically, qualified feed liquid samples with different brands and batches are collected as modeling samples, wherein the qualified feed liquid samples refer to samples which are qualified through physical and chemical index relative density and refractive index detection. In one embodiment of the present invention, a total of 87 samples were selected as modeling samples.
Further, the water-soluble total sugar content of the modeled samples can be determined by continuous flow analysis according to the industry standard YC/T159-2002 "determination of water-soluble sugars in tobacco and tobacco products-continuous flow analysis".
Further, near infrared may be utilizedThe spectrometer collects the near infrared spectrum of the modeling sample. Specifically, the relative humidity of the laboratory is controlled between 20% and 80%, and the temperature is controlled between 18 ℃ and 26 ℃. The near infrared spectrometer is started to preheat for not less than 1 hour, and then the near infrared spectrometer is used after being checked and qualified by a self-checking program of the spectrometer. And (3) taking a proper amount of feed liquid samples, putting the feed liquid samples into a cuvette, and collecting the near-infrared transmission spectrum of the feed liquid samples. Specifically, the wavelength scanning range of the near-infrared spectrometer is 4000-10000 cm -1 Resolution of 8cm -1 The number of scans was 64. The software used by the instrument is the self-contained RESULT-Integration Workflow (Workflow) design software, RESULT-Operation operating software and TQ analysis spectral analysis software.
And step S2, constructing a near infrared quantitative analysis model between the near infrared spectrum and the water-soluble total sugar content according to the water-soluble total sugar content and the near infrared spectrum of each qualified feed liquid sample.
Further, in order to improve the accuracy of the near-infrared quantitative analysis model, before the establishing of the near-infrared quantitative analysis model, the method may further include: and after the near infrared spectrum of the feed liquid sample is collected, preprocessing the near infrared spectrum. The preprocessing process may include at least one of multivariate scatter correction processing, first derivative processing, and second derivative processing.
For example, the baseline drift, noise interference and the like in the near infrared spectrum can be effectively reduced by smoothing and baseline correction processing on the spectrum, so that effective characteristic information contained in the spectrum can be fully extracted, and the accuracy and the prediction capability of a near infrared quantitative analysis model are improved. As can be seen from FIG. 2, in the near infrared spectra of different brands, the wavelength is 4800-5400cm due to the large amount of O-H groups in the feed liquid -1 The absorption peak in the interval is saturated, so that the data of the wave band can not be used for establishing a quantitative model, and the material liquid samples with different brands are 5500-7500 cm -1 And 4100-4600 cm -1 And the spectra of the two wave bands can be used as the characteristic sugar content change, so that the method can be used for establishing a near infrared quantitative analysis model.
In addition, due to the complex composition and non-uniformity of the formulated feed liquid inevitably causing the baseline of the NIR spectrum to drift, the necessary pre-processing of the original spectrum is required during the model building process. Here, the spectrum preprocessing method using multivariate scattering correction and first derivative is used, and the result after spectrum processing is shown in fig. 3.
In specific implementation, the effect of the established near-infrared quantitative analysis model can be evaluated by using three indexes, namely Root Mean Square Error Correction (RMSEC), Root Mean Square Error Prediction (RMSEP) and Relative analysis Error (RPD), wherein RPD, namely the ratio of the standard Deviation of the modeling data distribution to the Prediction Root Mean Square Error, comprehensively considers the standard Deviation of the chemical value of the Prediction sample and the Prediction standard Deviation of the established model, and is an important parameter for evaluating the resolution capability of the model. In general, if the RPD is greater than 3.0, the calibration effect is good, and the established model can be used for detecting an actual sample; if RPD is more than or equal to 2.5 and less than or equal to 3.0, the established model can be subjected to quantitative analysis, but the precision needs to be improved; if the RPD is less than 2.5, the quantitative analysis of the component is difficult.
Specifically, taking 87 qualified feed liquid samples as modeling samples as an example, the process of establishing and verifying the near-infrared quantitative analysis model is described, which may include the following steps:
taking 87 collected qualified feed liquid samples as modeling samples, and randomly dividing the feed liquid samples into 75 correction set samples and 12 verification set samples according to the grades; and (3) establishing a near infrared quantitative analysis model of the water-soluble total sugar in the cigarette feed liquid by using a Partial Least square method (PLS) according to the near infrared spectrum of each sample and the content of the water-soluble total sugar. The optimal factor number of a correction model established by utilizing the selected 75 correction set samples is 6, the root mean square error RMSEC of the correction set is 0.274, and the correlation coefficient is 0.9989; the predicted root mean square error RMSEP for the calibration set is 0.315 and the correlation coefficient is 0.9989. The RPD is 18.769, so the model can be better used for detecting the content of water-soluble total sugar in a sample of the feed liquid to be detected. And the evaluation parameters RMSEP/RMSEC of the model robustness are both less than 1.2, which shows that the global model has better robustness to the sample to be tested.
And step S3, respectively determining the water-soluble total sugar threshold corresponding to each grade of qualified feed liquid according to the water-soluble total sugar content of each qualified feed liquid sample.
Specifically, the step S3 may specifically include:
step S31, classifying the water-soluble total sugar content of all the collected qualified feed liquid samples according to the marks;
step S32, calculating the average value and the standard deviation of the total sugar content corresponding to the material liquid with the same mark according to the water-soluble total sugar content of each qualified material liquid sample with the same mark;
and step S33, determining the water-soluble total sugar threshold value corresponding to each grade of feed liquid according to the average value and the standard deviation of the total sugar content corresponding to each grade of qualified feed liquid sample.
The qualified feed liquid samples with the same grade are classified into the same category, the average value and the standard deviation of the water-soluble total sugar of all the qualified feed liquid samples with the same grade are calculated, and the water-soluble total sugar threshold corresponding to the water-soluble total sugar content of the qualified feed liquid with the grade is established, wherein the water-soluble total sugar threshold is the water-soluble total sugar average value +/-3 multiplied by the standard deviation. And carrying out the same operation on qualified feed liquid samples of all the grades until water-soluble total sugar threshold values corresponding to the qualified feed liquids of all the grades are obtained.
Further, a total sugar content database can be constructed according to the obtained water-soluble total sugar threshold corresponding to each qualified feed liquid, wherein each feed liquid grade and the water-soluble total sugar threshold corresponding to each feed liquid grade can exist.
And step S4, determining the near infrared spectrum of the sample of the feed liquid to be detected, and determining the water-soluble total sugar content of the sample of the feed liquid to be detected based on the near infrared spectrum and the near infrared quantitative analysis model of the sample of the feed liquid to be detected.
Specifically, the near infrared spectrum of the feed liquid sample to be detected can be acquired by the same method as the method for acquiring the near infrared spectrum of the modeling feed liquid sample, and the selected wave band of the near infrared spectrum of the feed liquid sample to be detected is 5500-7500 cm -1 And 4100-4600 cm -1 And substituting the near infrared spectrum wave band of the wave band into the previously established near infrared quantitative analysis model so as to calculate and obtain the water-soluble total sugar content of the feed liquid sample to be detected.
And step S5, comparing the water-soluble total sugar content of the material liquid sample to be detected with the water-soluble total sugar threshold corresponding to the qualified material liquid with the same mark to judge the stability of the preparation quality of the material liquid to be detected.
Specifically, the grade of the material liquid to be detected is determined, and then the water-soluble total sugar content of the material liquid to be detected is compared with the water-soluble total sugar threshold value corresponding to the material liquid with the same grade, so as to judge the stability of the preparation quality of the material liquid to be detected. As described above, the threshold value of the water-soluble total sugar corresponding to each grade of material liquid can fluctuate within the range from (the average value of the water-soluble total sugar-3 × standard deviation) to (the average value of the water-soluble total sugar +3 × standard deviation), so that if the water-soluble total sugar content of the sample of the material liquid to be detected is within the range, the material liquid to be detected is qualified, otherwise, the quality of the preparation liquid of the material to be detected is unstable, and the material liquid to be detected is unqualified.
The method for rapidly analyzing the preparation quality stability of the feed liquid comprises the steps of collecting a certain amount of prepared products of the feed liquid for the cigarettes with different brands and batches, measuring the content of water-soluble total sugar in a sample according to the standard of the tobacco industry by adopting a continuous flow method, measuring the near infrared spectrum of the sample by adopting a transmission mode of the near infrared spectrum, and establishing a near infrared quantitative analysis model of the water-soluble total sugar. And the standard content of the water-soluble total sugar of different brands is obtained through calculation, namely a quality fluctuation range is given, so that the quality stability of the material liquid preparation can be evaluated according to the fluctuation range of the sugar content of the material liquid of the sample to be detected, and because the total sugar content of the material liquid of different brands is different, the type of the material liquid to be detected can be identified according to the total sugar content of the material liquid sample to be detected obtained through calculation (namely, which brand the material liquid to be detected belongs to is identified), and the method has the characteristics of rapidness, high efficiency, simplicity and convenience.
Examples
By adopting the method, a near-infrared quantitative analysis model is established, and the water-soluble total sugar threshold value corresponding to the qualified feed liquid of each grade is determined. Table 1 shows the total sugar content threshold and the actual measurement value of A, B, C, D qualified samples of different brands obtained by the method, and it can be seen from the table that the difference between the mean value and the standard deviation of the total sugar content obtained by the method of the present invention and the mean value and the standard deviation of the total sugar content actually measured is small, which indicates that the method of the present invention is effective.
TABLE 1
A total of 107 normal production sample batches of representative feed solution formulations of different brands and different batches were collected (wherein the number of samples of the brand A, B, C, D was 33, 31, 22, 21, respectively). The relative humidity of the laboratory is controlled between 20 percent and 80 percent, and the temperature is controlled between 18 ℃ and 26 ℃. The near-infrared spectrometer is preheated for not less than 1 hour when started, and then the near-infrared spectrometer is used after being checked to be qualified by a self-checking program of the spectrometer. And (3) taking a proper amount of feed liquid samples, putting the feed liquid samples into a cuvette, and collecting the near-infrared transmission spectrum of the feed liquid samples. Selecting 5500-7500 cm -1 And 4100-4600 cm -1 And substituting the spectrum in the wavelength interval into the established near infrared quantitative analysis model to calculate the water-soluble total sugar content. Specifically, the wavelength scanning range of the near-infrared spectrometer is 4000-10000 cm -1 Resolution of 8cm -1 The number of scans was 64. The software used by the instrument is the RESULT-Integration Workflow design software, RESULT-Operation operating software and TQ analysis spectroscopy software which are carried by the instrument.
And (3) predicting the water-soluble total sugar content of the feed liquid sample to be detected by using the established near-infrared quantitative analysis model (as shown in figures 4 to 7), and observing whether the predicted value is in a quality control range. And taking the average value of the water-soluble total sugar content of the qualified feed liquid sample as a median line, and taking the average value +/-3 multiplied by the standard deviation as the control limit of the qualified sample. In lot 8 and lot 13 samples, the total sugar content was 9.51% and 20.22%, respectively, in brand a, which was much lower than the average total sugar content of 22.37% in the qualified sample of this brand, so the two samples were rejected. To verify the accuracy of the results, the relative density of the batch of samples was examined. The relative density of the acceptable samples averaged 1.134, but the relative densities of the batch 8 and batch 13 samples were 1.054 and 1.120, respectively, which are significantly different from the relative densities of the acceptable samples. The experimental results further demonstrate the accuracy and rapidity of the method. And 2 samples and 1 sample in batches are unqualified in the feed liquid samples to be detected with the marks B and C respectively. The preparation quality of the material liquid sample to be detected with the grade D is good in stability, and the content of total sugar fluctuates in a quality control range.
The method for rapidly analyzing the preparation quality stability of the feed liquid can rapidly detect the content of the water-soluble total sugar in a feed liquid preparation product, and judge whether a sample belongs to a qualified sample by monitoring the content of the total sugar. And by utilizing the method, whether the time for preparing and stirring is reached or not can be inspected by monitoring the change of the water-soluble total sugar content in the online preparation process of the feed liquid. And the method can also identify the type of the feed liquid to be detected according to the total sugar content of the feed liquid sample to be detected, which is obtained by calculation.
While the invention has been shown and described with reference to certain embodiments thereof, it will be understood by those skilled in the art that the foregoing is a more particular description of the invention than is described in conjunction with the specific embodiments, and the specific embodiments of the invention should not be considered to be limited to such descriptions. Various changes in form and detail may be made therein by those skilled in the art, including simple deductions or substitutions without departing from the spirit and scope of the invention.
Claims (7)
1. A method for rapidly analyzing the preparation quality stability of feed liquid is characterized by comprising the following steps:
collecting near infrared spectra of a plurality of qualified feed liquid samples with different brands, and determining the water-soluble total sugar content in each qualified feed liquid sample;
constructing a near infrared quantitative analysis model between the near infrared spectrum and the water-soluble total sugar content according to the water-soluble total sugar content and the near infrared spectrum of each qualified feed liquid sample;
respectively determining the water-soluble total sugar threshold value corresponding to each grade of qualified feed liquid according to the water-soluble total sugar content of each qualified feed liquid sample;
collecting a near infrared spectrum of a feed liquid sample to be detected, and determining the water-soluble total sugar content of the feed liquid sample to be detected based on the near infrared spectrum of the feed liquid sample to be detected and the near infrared quantitative analysis model;
and comparing the water-soluble total sugar content of the sample of the feed liquid to be detected with the water-soluble total sugar threshold corresponding to the qualified feed liquid with the same mark as the sample of the feed liquid to be detected so as to judge the stability of the preparation quality of the feed liquid to be detected.
2. The method of claim 1, wherein the constructing a near-infrared quantitative analysis model between the near-infrared spectrum and the water-soluble total sugar content based on the water-soluble total sugar content and the near-infrared spectrum of each qualified feed liquid sample comprises:
pretreating the collected near infrared spectrum of each qualified feed liquid sample, and selecting a wave band representing sugar content from the pretreated near infrared spectrum;
and according to the water-soluble total sugar content and the wave bands of the characteristic sugar content of each qualified feed liquid sample, constructing the near-infrared quantitative analysis model by using a partial least square method.
3. The method of claim 2, wherein the preprocessing comprises at least one of multivariate scatter correction processing, first derivative processing, and second derivative processing.
4. The method of claim 2, wherein the band characterizing the sugar content is 5500-7500 cm -1 And 4100-4600 cm -1 And the near infrared spectral band in between.
5. The method of claim 1, wherein the water soluble total sugar content of the feed solution sample is determined by continuous flow analysis.
6. The method according to claim 1, wherein the near infrared spectrum of each feed liquid sample is collected by a near infrared spectrometer, and the wavelength scanning range of the near infrared spectrometer is 4000-10000 cm -1 Resolution of 8cm -1 The number of scans was 64.
7. The method of claim 1, wherein the determining the water soluble total sugar threshold for each grade of qualified liquor based on the water soluble total sugar content of each qualified liquor sample comprises:
classifying the water-soluble total sugar content of all the collected qualified feed liquid samples according to the marks;
calculating the average value and the standard deviation of the total sugar content corresponding to the material liquid with the same mark according to the water-soluble total sugar content of each qualified material liquid sample with the same mark;
and determining the water-soluble total sugar threshold value corresponding to each grade of feed liquid according to the average value and the standard deviation of the total sugar content corresponding to each grade of qualified feed liquid sample.
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