CN117273506A - Method and system for rapidly judging and screening quality grade of wine sorghum liquor - Google Patents
Method and system for rapidly judging and screening quality grade of wine sorghum liquor Download PDFInfo
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- LRBQNJMCXXYXIU-NRMVVENXSA-N tannic acid Chemical compound OC1=C(O)C(O)=CC(C(=O)OC=2C(=C(O)C=C(C=2)C(=O)OC[C@@H]2[C@H]([C@H](OC(=O)C=3C=C(OC(=O)C=4C=C(O)C(O)=C(O)C=4)C(O)=C(O)C=3)[C@@H](OC(=O)C=3C=C(OC(=O)C=4C=C(O)C(O)=C(O)C=4)C(O)=C(O)C=3)[C@@H](OC(=O)C=3C=C(OC(=O)C=4C=C(O)C(O)=C(O)C=4)C(O)=C(O)C=3)O2)OC(=O)C=2C=C(OC(=O)C=3C=C(O)C(O)=C(O)C=3)C(O)=C(O)C=2)O)=C1 LRBQNJMCXXYXIU-NRMVVENXSA-N 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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Abstract
The invention relates to a method and a system for rapidly judging and screening wine quality grade of sorghum for wine, wherein the method comprises the following steps: acquiring near infrared spectrum information of a first sorghum sample, and taking the near infrared spectrum information as modeling spectrum information; obtaining a plurality of physicochemical indexes of the first sorghum sample by using a chemical measurement method, calculating to obtain an evaluation index of the brewing characteristics of the sorghum, and taking the evaluation index of the first sorghum sample as a modeling evaluation index; establishing a calibration model based on the modeling spectrum information and the modeling evaluation index; after the near infrared spectrum information of the second sorghum sample is obtained, the established calibration model is utilized to determine the corresponding evaluation index, and the evaluation index of the second sorghum sample is compared with the set calibration value to determine the sorghum brewing quality grade of the second sorghum sample. The system comprises: the device comprises a detection part for acquiring near infrared spectrum information of a sorghum sample, a transportation part for transmitting the sorghum sample and an analysis part for performing signal processing.
Description
Technical Field
The invention relates to the technical field of raw grain analysis, in particular to a method and a system for rapidly judging and screening quality grades of sorghum liquor for wine.
Background
White spirit brewing has a long history in China, sorghum is used as main brewing raw grain, and the quality of the sorghum plays a very key role in the white spirit brewing process, so that the quality grade of the white spirit is greatly influenced. The contents of amylose, amylopectin, protein, fat and tannin in sorghum directly affect the yield and quality of brewed white spirit, are the main substance basis for forming a plurality of flavor substances in white spirit, and are the main physicochemical indexes for evaluating the brewing characteristics of sorghum for wine, so that the sorghum for wine needs to comprehensively judge the above 5 indexes to comprehensively calculate and obtain the evaluation index of the sorghum for wine, thereby judging the brewing coefficient of the sorghum for production.
The starch of the sorghum is composed of amylopectin and amylose, and the starch is easier to gelatinize as the content of the amylopectin is higher, and ethanol is easier to generate in the subsequent production process, so that the higher the content of the amylopectin and the lower the content of the amylose of the sorghum used for brewing are, and the sorghum is more suitable for brewing production. In addition, protein, fat and tannin in sorghum are sources or precursor substances of various flavor substances in white spirit, the content of the protein, fat and tannin plays a very important role in the produced white spirit, and the balance of the flavor and taste of the produced white spirit is influenced by the fact that the corresponding indexes are too high or too low, so that the 'bias' of the style of the white spirit is caused, and therefore, the comprehensive and rapid evaluation of the brewing coefficient of the sorghum is very important.
Currently, for detecting the contents of amylose, amylopectin, protein, fat and tannin in sorghum, the brewing industry generally adopts a chemical measuring method and a nondestructive testing method. The chemical determination method is generally complex in operation, needs more manpower and material resources, has longer result feedback time and cannot timely feed back the determination result. The nondestructive testing method generally utilizes a near infrared spectrum technology to rapidly and nondestructively measure the physical and chemical indexes of the sorghum, the result feedback is timely, the sample is nondestructively, but the detection precision is generally slightly inferior to other analysis and detection means.
The prior art for detecting the quality of sorghum by adopting a nondestructive detection method mainly utilizes near infrared spectrum to analyze single physical and chemical indexes such as amylose, amylopectin, tannin and the like of the sorghum, can not comprehensively reflect the comprehensive brewing characteristics of the sorghum, and the comprehensive brewing characteristics of the sorghum are obtained by simply combining single analysis results of a plurality of physical and chemical indexes, but consider mutual interference existing when the plurality of physical and chemical indexes are subjected to nondestructive detection at the same time, and comprehensively, quickly and accurately evaluate the brewing characteristics of the sorghum by eliminating the interference. Therefore, a sorghum brewing evaluation index needs to be established, and the near infrared spectrum technology is utilized to realize the rapid determination of the evaluation index and the rapid evaluation and on-line sorting of the brewing quality grade of the sorghum for wine.
CN114693636a discloses a method for detecting the content of branched chain and amylose in mixed sorghum, which comprises the following steps: respectively collecting hyperspectral images of a mixed sorghum sample by using a visible light and near infrared hyperspectral imaging system, and simultaneously measuring the starch content in the sample by adopting a chemical analysis method; dividing sorghum grains of a hyperspectral image of a sample, extracting spectral data, and extracting characteristic wavelengths or spectral characteristics; a model was created using the feature fused data for predicting starch content of the mixed sorghum. The invention only measures the amylose and the amylopectin of the sorghum, does not relate to measuring other indexes of the sorghum, and does not relate to judging the brewing characteristics of the sorghum.
CN109406447a discloses a near infrared detection method for tannin in sorghum, which comprises the following steps: collecting and selecting sorghum seed samples of a plurality of varieties for determination; respectively carrying out near infrared spectrum scanning and detection of tannin content on each sorghum seed sample to obtain the tannin content of each sorghum sample and a near infrared spectrum diagram of a corresponding characteristic spectrum region; after the tannin content of each sorghum seed sample is correlated with the corresponding spectrogram, a tannin content spectrum prediction model is established; and (3) arranging the built spectrum prediction model in a near infrared spectrum scanner, and obtaining the corresponding tannin content in the sorghum by carrying out near infrared spectrum scanning on the sorghum seeds. The invention only measures the tannin content of the sorghum, does not relate to measuring other indexes of the sorghum, and does not relate to judging the brewing characteristics of the sorghum.
CN103728269a discloses a method for near infrared rapid detection of physicochemical indexes in brewing materials, which comprises the following steps: forming a brewing raw material sample group by using representative brewing raw material samples, respectively obtaining near infrared band spectrum information of each type of brewing raw material sample in the brewing raw material sample group under a set modeling condition, and obtaining physicochemical index chemical measurement values by using a standard chemical measurement method; the near infrared band spectrum information and the physicochemical index chemical measurement value are in one-to-one correspondence according to the types of brewing raw material samples, and a calibration model of the required physicochemical index is established by using chemometric software; and carrying out near infrared spectrum scanning on the brewing raw material sample to be detected, and obtaining the physicochemical index of the brewing raw material to be detected by utilizing a calibration model in a prediction mode. The utility model does not specify the measured brewing raw materials, the measurement indexes only relate to the measurement of moisture and starch, the detection of other indexes of the raw grains is not related, and the judgment of the brewing characteristics of sorghum is not related correspondingly.
CN212514114U discloses a system for detecting and analyzing the moisture, fat, protein content in brewing sorghum, the system comprising: a measurement unit and a data processing unit; the measuring unit comprises a moisture measuring unit, a fat measuring unit and a protein measuring unit; the data processing unit is an intelligent terminal provided with data analysis software; the moisture measuring unit, the fat measuring unit and the protein measuring unit are connected with the intelligent terminal, and the system is used for measuring the moisture, the fat and the protein in the sorghum. The present utility model relates to measurement of indexes of moisture, fat and protein of sorghum, and does not relate to measurement of indexes of sorghum tannin, and the steps of drying, digestion, soxhlet extraction and the like are required to be carried out, and a lot of detection time is required, but the improvement of detection precision which can be brought about after the complicated steps are carried out is not described, and how the measured indexes realize judgment of brewing characteristics of sorghum is not described.
Furthermore, there are differences in one aspect due to understanding to those skilled in the art; on the other hand, since the applicant has studied a lot of documents and patents while making the present invention, the text is not limited to details and contents of all but it is by no means the present invention does not have these prior art features, but the present invention has all the prior art features, and the applicant remains in the background art to which the right of the related prior art is added.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a method and a system for rapidly judging and screening the quality grade of wine brewing by using sorghum, so as to solve at least part of the technical problems.
The invention discloses a method for rapidly judging and screening wine quality grade of sorghum for wine, which comprises the following steps:
acquiring near infrared spectrum information of a first sorghum sample, and taking the near infrared spectrum information as modeling spectrum information;
obtaining a plurality of physicochemical indexes of the first sorghum sample by using a chemical measurement method, calculating to obtain an evaluation index of the brewing characteristics of the sorghum, and taking the evaluation index of the first sorghum sample as a modeling evaluation index;
establishing a calibration model based on the modeling spectrum information and the modeling evaluation index;
And acquiring near infrared spectrum information of the second sorghum sample, determining a corresponding evaluation index by utilizing the established calibration model after foreign matters are removed, and determining the sorghum brewing quality grade of the second sorghum sample by comparing the evaluation index of the second sorghum sample with a set calibration value.
Preferably, the method of identifying the foreign matter may include: the established calibration model is at least embedded with near infrared spectrum data of other foreign matters serving as non-sorghum samples, wherein one or more other characteristic peaks different from characteristic peaks of sorghum are selected for different types of foreign matters, and the selection rules of the other characteristic peaks are as follows: only one foreign object can be located based on the wave number corresponding to a certain number of selected characteristic peaks and the infrared spectrum absorption intensity thereof.
According to the invention, the near infrared equipment is utilized to carry out rapid grading judgment on the comprehensive brewing characteristics of the sorghum, the evaluation process is rapid and safe, no chemical is used, and the nondestructive rapid determination of the sample is realized; the sorghum brewing characteristics are comprehensively assessed by utilizing the sorghum brewing characteristic assessment indexes, and the sorghum conveying line is regulated and controlled according to the assessment indexes, so that on-line screening is realized while the quick assessment of the brewing quality grade of the sorghum raw grain is realized, and technical support is provided for on-line quality identification of the raw grain on a brewing scale. In addition, the invention also considers the influence of various foreign matters doped in a large batch of sorghum raw materials on the brewing process and the quality thereof, and when the second sorghum sample of one batch is confirmed to contain no foreign matters or no foreign matters with great influence on the brewing quality by a preset foreign matter identification method, the corresponding evaluation index can be determined by directly utilizing the established calibration model, so that the brewing quality grade of the sorghum of the corresponding batch is rapidly obtained.
According to a preferred embodiment, the physicochemical index obtained by means of the chemical assay comprises at least: sorghum amylose content, amylopectin content, protein content, fat content and/or tannin content.
Unlike available technology, which uses only single physical and chemical index to judge the quality of sorghum, the present invention selects several physical and chemical indexes with different influence degree to the quality of sorghum and provides one new evaluation index calculating formula for comprehensive judgment of brewing characteristic. Preferably, the evaluation index of the sorghum liquor making characteristic related to the invention can be obtained by the following calculation formula:
evaluation index = amylopectin content of coefficient a + amylose content of coefficient B + protein content of coefficient C + fat content of coefficient D + tannin content of coefficient E
Wherein the numerical range of the coefficients A to D belongs to [ -1,1], and the numerical range of the coefficients E belongs to [ -1,10].
The value of each coefficient can be adjusted based on the quality required by actual brewing, but the numerical range is the optimal value range of each physicochemical index.
According to a preferred embodiment, when the calibration model is established, the modeling spectral information and the modeling evaluation index are paired one by one based on the number of the first sorghum sample, and the calibration model of the evaluation index for the brewing characteristics of the sorghum is established after spectral preprocessing and band selection.
The calibration model established in the mode can be used for rapidly determining the sorghum liquor characteristic evaluation index, so that the rapid evaluation of the sorghum liquor grade is realized, the complicated procedure of wet chemical determination of various indexes of sorghum is omitted, the purpose of rapidly screening different sorghum quality grades in liquor production is achieved, and the production efficiency is improved.
According to a preferred embodiment, a number of third sorghum samples different from the first sorghum sample are selected to obtain near infrared spectrum information of the third sorghum sample, and a predicted value of the evaluation index of the corresponding third sorghum sample is determined by using the established calibration model, wherein the accuracy of the established calibration model is evaluated by comparing the predicted value of the evaluation index with the actual measurement value of the evaluation index of the corresponding third sorghum sample obtained by a chemical assay method.
The established calibration model can be verified so as to judge the accuracy of the established model, and when the accuracy is higher than a set threshold (or the average relative deviation is lower than the set threshold), the assessment index judged by the calibration model is basically correct, so that the calibration model can be put into use.
According to a preferred embodiment, the second sorghum sample corresponding to the acquired near infrared spectrum information is judged in quality level based on the rating index determined by the scaling model, wherein the second sorghum sample having different quality levels is transmitted to different downstream areas in a manner of switching transmission paths based on the judged quality level.
The setting can provide a standard for quick determination and screening of the quality grade of the sorghum liquor making, so that second sorghum samples with different quality grades can enter different downstream areas through a sorting mode, wherein the different downstream areas can be used for brewing white liquor with different qualities, and can be waste materials which are required to be discarded due to the fact that the quality of the second sorghum samples does not reach the standard, so that the second sorghum samples in each batch can be transmitted to the downstream areas matched with the quality grade of the second sorghum samples. The invention discloses a quick judging and screening system for wine quality grade of sorghum wine, which comprises the following components:
the detection part is used for acquiring near infrared spectrum information of the sorghum sample;
a transporting section for transporting the sorghum sample and at least enabling the sorghum sample to pass through the detection area of the detecting section;
and the analysis part is in communication connection with the detection part and/or the transportation part.
The analysis part can establish a calibration model based on the entered modeling spectrum information and modeling evaluation index related to the first sorghum sample, wherein near infrared spectrum information of the second sorghum sample passing through the detection area based on the transmission of the transportation part can be transmitted to the analysis part, so that the analysis part determines a corresponding evaluation index by utilizing the established calibration model after removing the impurity doping, and determines the sorghum liquor quality grade of the second sorghum sample by comparing the evaluation index of the second sorghum sample with a set calibration value.
According to a preferred embodiment, the physicochemical indexes of the first sorghum sample are obtained by a chemical measurement method so that the analysis section storing the calculation formula for calculating the evaluation index can obtain the modeling evaluation index related to the first sorghum sample, wherein the physicochemical indexes obtained by the chemical measurement method include at least: sorghum amylose content, amylopectin content, protein content, fat content and/or tannin content.
According to a preferred embodiment, the system is provided with a sorting section communicatively connected to the analysis section on the transport path of the transport section, the sorting section switching the transport path of the transport section based on the control signal generated by the analysis section, wherein the sorting section is arranged on the transport path of the transport section at a position downstream of the detection section.
According to a preferred embodiment, the analysis section generates a control signal for adjusting the switching mode of the sorting section based on the sorghum liquor quality grade of any one of the second sorghum samples determined by the established scaling model, so as to determine the distribution mode of each of the second sorghum samples in a plurality of downstream areas.
According to a preferred embodiment, the analysis unit can evaluate the accuracy of the established calibration model by using the relative deviation between the predicted value and the measured value of the evaluation index of the third sorghum sample obtained by the detection unit, the predicted value of the evaluation index being obtained by calculating the near infrared spectrum information of the third sorghum sample obtained by the chemical measurement method, and the measured value of the evaluation index being obtained by calculating the physical and chemical indexes of the third sorghum sample obtained by the chemical measurement method.
Drawings
FIG. 1 is a simplified schematic diagram of a system of a preferred embodiment provided by the present invention;
FIG. 2 is near infrared spectrum information of a first sorghum sample, a wheat sample, a crushed stone sample according to a preferred embodiment of the present invention;
FIG. 3 is a diagram showing the result of foreign matter identification according to a preferred embodiment of the present invention;
FIG. 4 is a scaled model for sorghum liquor characteristics assessment established in accordance with a preferred embodiment of the present invention.
List of reference numerals
100: a transport section; 200: a detection unit; 300: and a sorting part.
Detailed Description
The following detailed description refers to the accompanying drawings.
In order to realize rapid evaluation of the sorghum liquor quality grade in the liquor making industry, the invention provides a rapid judgment and screening method and a rapid judgment and screening system of the sorghum liquor quality grade for liquor, wherein the sorghum liquor quality grade can be represented by an evaluation index, and the evaluation index can be obtained by comprehensively calculating one or more physicochemical indexes of sorghum with great influence on liquor quality.
According to the invention, the near infrared equipment is utilized to carry out rapid grading judgment on the comprehensive brewing characteristics of the sorghum, the evaluation process is rapid and safe, no chemical is used, and the nondestructive rapid determination of the sample is realized; the sorghum brewing characteristics are comprehensively assessed by utilizing the sorghum brewing characteristic assessment indexes, and the sorghum conveying line is regulated and controlled according to the assessment indexes, so that on-line screening is realized while the quick assessment of the brewing quality grade of the sorghum raw grain is realized, and technical support is provided for on-line quality identification of the raw grain on a brewing scale.
Preferably, the evaluation index of the sorghum liquor making characteristic related to the invention can be obtained by the following calculation formula:
evaluation index = amylopectin content of coefficient a + amylose content of coefficient B + protein content of coefficient C + fat content of coefficient D + tannin content of coefficient E
Wherein the numerical range of the coefficients A to D belongs to [ -1,1], and the numerical range of the coefficients E belongs to [ -1,10].
According to a preferred embodiment, the invention discloses a method for rapidly judging and screening the quality grades of sorghum liquor for wine, and the method provided by the invention can rapidly determine the evaluation indexes of the characteristics of sorghum liquor, so that the rapid evaluation of the sorghum liquor grade is realized, the complicated procedure of wet chemistry measurement of various indexes of sorghum is omitted, the purpose of rapidly screening different quality grades of sorghum liquor in liquor making production is achieved, and the production efficiency is improved.
Preferably, the method for rapidly judging and screening the quality grade of the sorghum liquor can comprise the following steps:
s1, obtaining modeling spectrum information of a first sorghum sample;
s2, obtaining a modeling evaluation index of a first sorghum sample;
s3, establishing a calibration model;
s4, screening the foreign matters of the second sorghum sample and rapidly judging the sorghum sample;
S5, carrying out online screening on the second sorghum sample.
Preferably, for step S1, a plurality of representative sorghum grain samples (which may be referred to as first sorghum samples) are selected, and after mixing, near infrared spectrum information of the selected first sorghum samples is collected in a diffuse reflection measurement manner to be used as modeling spectrum information, where the modeling spectrum information is data related to spectrum information to be used in the subsequent model building. Preferably, the selected first sorghum sample may be given a corresponding number to distinguish from other samples, wherein the other samples may at least comprise samples not selected in step S1.
Preferably, the near infrared spectrum information may be acquired by: the wave number range of the near infrared spectrum wave band is 3900 cm to 11000cm -1 Resolution of 8cm -1 The average spectrum is obtained after all the first sorghum samples are scanned for a plurality of times, so that each first sorghum sample can be scanned repeatedly for a plurality of times, and modeling spectrum information serving as the first sorghum sample is obtained by taking the average spectrum, wherein the scanning times can be preferably 32 times.
Preferably, for step S2, the same sample as in step S1 (preferably the first sorghum sample with the same number) is subjected to a number of physical and chemical indicators by using a chemical measurement method, so as to calculate an evaluation index of the brewing characteristics of the sorghum, wherein the physical and chemical indicators may include, but are not limited to: amylopectin content, amylose content, protein content, fat content and/or tannin content. Further, since the chemical measurement method is a measurement based on the destruction of the sorghum grain sample, which has relatively higher accuracy, the evaluation index of the sorghum liquor characteristics calculated in step S2 may be used as a modeling evaluation index, wherein the modeling evaluation index is data related to the evaluation index to be used in the subsequent model construction.
Preferably, the amylose content and the amylopectin content can be obtained as follows:
the selected representative sorghum grain sample was pulverized into fine powder to break the endosperm structure of starch, to make it easy to disperse and gelatinize completely, and the pulverized sample was defatted, the defatted sample was dispersed in sodium hydroxide solution, an iodine reagent was added to a certain amount of the sample dispersion, and then the absorbance of the chromogenic complex was measured at 720nm using a spectrophotometer, wherein a calibration curve was prepared from a mixed standard of potato amylose and amylopectin in consideration of the influence of amylopectin on the iodine-amylose complex in the sample, and the amylose content (dry basis mass fraction) of the sorghum grain sample was read from the calibration curve.
Preferably, the amylose content and the amylopectin content can be obtained as follows:
the method comprises the steps of utilizing the principle that starch and iodine form an iodine-starch compound and have special color reaction (amylopectin and iodine form a brownish red compound and amylose and iodine form a dark blue compound), calculating the content ratio of the amylose to the amylopectin by measuring one of a series of colors from purplish red to dark blue through a spectrophotometer under the condition that the total starch is determined based on the linear relation of absorbance and the concentration of the amylose, and calculating the ratio of the amylopectin of sorghum to the total starch.
Preferably, the protein content can be obtained in the following manner:
the sorghum sample is digested by sulfuric acid under the action of a catalyst, so that a nitrogen-containing compound is converted into ammonium sulfate, alkali is added for distillation to enable ammonia to escape, boric acid is used for absorption, then a hydrochloric acid standard titration solution is used for titration to measure the nitrogen content, and the nitrogen content is multiplied by 6.25 to obtain the crude protein content.
Preferably, the fat content can be obtained in the following way:
by utilizing the characteristic that fat is easy to dissolve in organic solvent, the sorghum sample is extracted by using absolute ethyl ether or petroleum ether and other solvents, the solvent is removed by evaporation, and the content of free fat is obtained by drying.
Preferably, the tannin content can be obtained in the following manner:
extracting tannin in a sorghum sample by using a dimethylformamide solution, centrifuging, taking supernatant, adding an ammonium ferric citrate solution and an ammonia solution, taking water as a blank control after color development, measuring an absorbance value at 525nm by using a spectrophotometer, and measuring the tannin content in the sorghum sample by using tannic acid as a standard curve.
Preferably, for step S3, the modeling spectrum information obtained in step S1 and the modeling evaluation index obtained in step S2 are in one-to-one correspondence according to the first sorghum sample number, and a calibration model for the evaluation index is built after spectrum preprocessing and band selection.
Preferably, the selected spectral pretreatment method may comprise one or a combination of methods of 1st, 2nd, MSC, VN, SNV, det, MC, ZS, SSL, ECO.
Preferably, the selected band selection method may include PLS, biPLS, UVE, MCUVE, CARS, SMLR method.
Preferably, in step S3, the established calibration model may be validated, wherein the validating step may comprise:
acquiring near infrared spectrum information of a third sorghum sample assigned with a corresponding verification sequence number to acquire a predicted value of a corresponding evaluation index by using the established calibration model, wherein the third sorghum sample belongs to other samples which are not selected in the step S1 and can be assigned with the verification sequence number different from the first sorghum sample number;
measuring a plurality of physicochemical indexes by a chemical measuring method aiming at a third sorghum sample with different verification serial numbers so as to calculate and obtain an actual measurement value of a corresponding evaluation index;
the accuracy of the established calibration model is evaluated by calculating the relative deviation of the predicted value and the measured value of the evaluation index of the plurality of third sorghum samples of different verification sequence numbers, and when the accuracy is higher than the set threshold (or the average relative deviation is lower than the set threshold), the calibration model can be used as the calibration model of the evaluation index to evaluate the sorghum liquor quality grade.
It is further preferred that the verification step of step S3 is not an essential step of the method of the present invention, but is a preferred step for improving the accuracy of the method of the present invention, in other words, the method of the present invention may still accomplish a fast determination of the quality grade of sorghum liquor in the absence of the verification step.
Preferably, in step S4, a plurality of second sorghum samples to be detected may be continuously transferred to the detection area according to a certain order to complete collection of near infrared spectrum information, and after judging whether to dope the foreign matters, the calibration model established in step S3 is used to estimate the evaluation index of each second sorghum sample, where the second sorghum samples to be detected are usually samples to be used in the actual brewing process, and the evaluation index of the second sorghum samples needs to be determined online through the established calibration model, so as to quickly determine the influence of the second sorghum samples on the quality of the wine after being used for brewing.
Preferably, the collection of near infrared spectrum data may be performed on other foreign matter than sorghum samples, wherein, especially for the foreign matter of wheat, small Dan Toudeng, which is easily doped, the near infrared spectrum data is shown in fig. 2, and further, the near infrared spectrum data of a plurality of sorghum samples are included in fig. 2 for comparison. In FIG. 2, 4700cm -1 The position is N-H telescopic vibration 5184cm -1 The stretching and bending vibration of the hydroxyl O-H in the starch is mainly 6835cm -1 Mainly comprises the antisymmetric and symmetrical stretching of O-H in starch, 8316cm -1 And the position is the same as-CH 3 The C-H bonds in (2) are symmetrically stretched and related by two-stage frequency doubling. The infrared spectrum of stone is 5400-11000cm -1 The wave number range is significantly different from the sorghum and wheat spectra, while the infrared spectrum absorption intensity of wheat and sorghum is significantly different. As can be seen from FIG. 2, the near infrared spectrum of the doped foreign matters such as wheat and small stones is significantly different from that of sorghum, based on which at least part of the common doped foreign matters (including but not limited toIn wheat, small stones, etc.) to facilitate rapid identification of the corresponding foreign matter by the calibration model, wherein, for different types of introduced foreign matter, one or more specific other characteristic peaks different from characteristic peaks of sorghum may be selected so that only one kind of foreign matter can be located according to wave numbers corresponding to the other characteristic peaks and infrared spectrum absorption intensities thereof.
Preferably, the rapid identification method may include:
preprocessing the spectrum, wherein the preprocessing algorithm can comprise one or a combination of methods of 1st and 2nd, MSC, VN, SNV, det, MC, ZS, SSL, ECO;
Carrying out spectrum principal component analysis on the pretreated spectrum to obtain a result shown in a figure 3, wherein the horizontal and vertical coordinates in the figure respectively represent the scores of principal component 1 and principal component 2 of the spectrum;
based on the principal component analysis results in the near infrared spectrograms of different samples, the determination of the sample type is realized, namely whether the sample is sorghum or foreign matter is determined by analyzing the difference condition of the distribution positions in fig. 3, and further the foreign matter type can be determined based on the characteristic peaks.
Preferably, the above-described identification method may be built into the calibration model.
Preferably, various impurities which may affect the brewing process and/or the brewing quality are easily doped in the sorghum raw material in the batch production process, but a batch of raw materials are quickly scanned and are difficult to select one by one in the continuous production process, and the tolerance degree of finished wine of different grades to various impurities is different, so that the quick identification method generated according to fig. 2 and 3 can quickly detect whether the impurities and the corresponding impurity types exist in a large batch of sorghum raw materials so as to quickly judge whether the current batch of sorghum raw materials are available. Further, the "tolerance" refers to the maximum amount of a certain type of foreign matter allowed to be Xu Canza in the sorghum raw material used in the brewing process of the finished wine currently produced, for example, a certain finished wine may allow a very small amount of wheat to be doped but not stones to be doped. Therefore, the calibration model with the built-in rapid identification method can be particularly suitable for continuous batch brewing production process.
The arrangement can be used for carrying out the operation of directly discarding or carrying out the secondary inspection based on the type of the foreign matter and the foreign matter amount when the foreign matter is doped in the second sorghum sample of any batch through the near infrared spectrum information, and the selection of the mode also depends on the cost. Preferably, if the secondary inspection operation is performed, the number of samples in one batch can be reduced, so that when foreign matters are doped in the second sorghum sample in any batch still found in the secondary inspection, the samples in the batch can be directly discarded, and thus the discarded sorghum amount can be reduced. Further, the evaluation index of the second sorghum sample obtained by measurement is compared with a set standard value to determine the quality grade of the sorghum liquor of the second sorghum sample, wherein the range of the set standard value and the corresponding quality grade can be shown in table 1.
TABLE 1
| Evaluation index of brewing characteristics of sorghum | Quality grade of sorghum liquor |
| 80～100 | Special grade for brewing wine |
| 60～80 | Brewing quality grade |
| 40～60 | Brewing second grade |
| ＜40 | Three-stage brewing |
Preferably, in step S5, based on the evaluation index of the second sorghum sample obtained by the on-line discrimination, the second sorghum sample having the same quality grade is transferred to the same downstream area in a manner of switching the transfer paths, and the second sorghum sample having different quality grades is transferred to different downstream areas, thereby realizing rapid classification of the mass of the second sorghum sample.
According to a preferred embodiment, the invention discloses a system for rapidly judging and screening wine quality grade of sorghum for wine, and a simplified structure schematic diagram of the system is shown in fig. 1. Preferably, the system may perform the above method. Preferably, the system may comprise at least an analysis section storing a calibration model, wherein the calibration model stored in the analysis section is at least used for rapid determination of the evaluation index, which calibration model may be established by the analysis section at least on the basis of entered relevant data information.
Preferably, the relevant data information entered into the analysis part may include at least near infrared spectrum information of the first sorghum sample acquired by the optical detection means, and the analysis part may use the entered near infrared spectrum information as modeling spectrum information for model establishment. Preferably, the selected first sorghum sample may be given a corresponding number to distinguish from other samples.
Preferably, near infrared spectral information may be acquired using a near infrared spectrometer.
Preferably, the relevant data information input to the analysis part at least can comprise a plurality of physicochemical indexes of the first sorghum sample measured by a chemical measuring method, and the analysis part can process the input physicochemical indexes by calling a calculation formula of the evaluation index of the brewing characteristic of the sorghum to obtain the evaluation index of the corresponding first sorghum sample and take the evaluation index as a modeling evaluation index. Furthermore, the relevant data information input to the analysis part may be directly an evaluation index which has been calculated according to a corresponding calculation formula and a plurality of physicochemical indexes, the physicochemical indexes being measured by a chemical measuring method.
Preferably, the analysis unit is configured to perform one-to-one correspondence between the entered modeling spectrum information and modeling evaluation index according to the first sorghum sample number, and to create a calibration model for the evaluation index after spectrum preprocessing and band selection. Further, the analysis portion may place near infrared spectrum data of at least some common doped foreign matters (including, but not limited to, wheat, small stones, etc.) in the established calibration model to facilitate rapid identification of the corresponding foreign matters by the calibration model. Preferably, based on the difference of near infrared spectrums among different types of samples, the near infrared spectrum instrument is utilized to automatically identify the foreign matters, wherein the rapid identification method can be put into the near infrared spectrum instrument together with the calibration model.
Preferably, the system may comprise at least a transporting part 100 for transporting the sorghum grain sample and a detecting part 200 disposed at a detecting area for acquiring near infrared spectrum information of the sorghum grain sample, wherein the detecting area covers at least a partial area of the transporting part 100, so that the sorghum grain sample continuously and sequentially moving along a transporting path under the driving of the transporting part 100 can be measured by the detecting part 200 when reaching/passing through the detecting area. Preferably, the sorghum grain sample transported by the transport section 100 may be at least a second sorghum sample and/or a third sorghum sample.
Preferably, the detecting unit 200 may be communicatively connected to the analyzing unit to transmit the near infrared spectrum information of the collected sorghum grain samples, and the analyzing unit receiving the near infrared spectrum information transmitted from the detecting unit 200 may determine the assessment index corresponding to each sample using the established calibration model.
Preferably, the analysis section may perform verification of the calibration model by starting a verification program after completion of the establishment of the calibration model, wherein the verification program executed by the analysis section may include:
the transporting part 100 continuously and sequentially transfers the third sorghum sample, which is not selected in the model building process, to the detection area, so that the detecting part 200 can acquire corresponding near infrared spectrum information;
the analysis part can receive the near infrared spectrum information acquired by the detection part 200 to judge the assessment index corresponding to each third sorghum sample by using the established calibration model, wherein the analysis part obtains a predicted value of the assessment index by using the calibration model;
the analysis section may assign a corresponding verification number to the corresponding third sorghum sample based on the time series in which the detection information is received, such that the verification number of the third sorghum sample is associated with the predicted value of the evaluation index to be determined thereof in the analysis section;
The measured values of the evaluation indexes of the third sorghum samples with the verification numbers, which are measured by the chemical measuring method, can be input into an analysis part to judge the relative deviation of the predicted values and the measured values of the evaluation indexes of the plurality of third sorghum samples with different verification numbers, so as to evaluate the accuracy of the established calibration model.
Preferably, when the accuracy is above the set threshold (or the average relative deviation is below the set threshold), the calibration model may be used by the analysis section for a fast decision of the rating index to evaluate the sorghum brew quality grade.
Preferably, in the case where verification of the calibration model is completed to determine that it can be implemented by the analysis section, the transportation section 100 may continuously transfer a plurality of second sorghum samples to be detected to the detection area in a certain order to complete collection of near infrared spectrum information through the detection section 200, the analysis section receiving the detection information transmitted from the detection section 200 may determine an evaluation index of the corresponding second sorghum sample using the established calibration model, and may determine the evaluation index of the second sorghum sample based on the set calibration value, thereby determining a sorghum liquor quality level of the second sorghum sample.
Preferably, the transporting part 100 may perform a tiling operation on the second sorghum sample at least when transporting the second sorghum sample, so that the second sorghum sample can move towards the detection area approximately in a form of thickness of 1-3cm and width of 1-1.2 times of the size of the infrared light spot, so as to ensure uniformity in spectrum acquisition.
Preferably, the second sorghum sample subjected to the tiling operation may be transferred onto the inspection route of the transporting part 100, wherein the inspection area is located on the inspection route. Further, the second sorghum sample entering the detection route within a certain period of time is classified into one batch, and the second sorghum sample of the one batch is circularly detected, so that the spectrum information acquired by the final infrared spectrometer is the average spectrum of the sorghum sample of the batch. Further, the analysis part can obtain an average rating index of the second sorghum sample of the batch based on the average spectrum, wherein the average rating index is judged in the same manner as the rating index, and the average quality grade of the sorghum liquor of the sorghum sample of the batch is characterized by being more suitable for batch production than the average quality grade of the sorghum liquor corresponding to a single sample.
Further, if the analysis part finds that the second sorghum sample of any batch is doped with foreign matters according to the near infrared spectrum information, all samples of the batch can stop detection and be transferred to the undetermined area, wherein the suspicious sample entering the undetermined area can be directly discarded or subjected to secondary inspection, and the selection of the mode also depends on cost. Preferably, if the suspicious sample is subjected to the secondary test, the number of samples in one batch can be reduced, so that when foreign matters are doped in the second sorghum sample in any batch still found in the secondary test, the samples in the batch can be directly discarded, and the discarded sorghum amount can be reduced.
Further, if the analysis part does not find that the foreign matter is doped according to the near infrared spectrum information, the second sorghum sample of the batch can be transmitted to the downstream of the flow to determine the sorting scheme according to the judging result of the evaluation index of the second sorghum sample.
Preferably, the analysis part may assign a corresponding label to each second sorghum sample based on the magnitude relation of the rating index and the set rating value, wherein the analysis part may regulate the transmission path of the transportation part 100 by generating the control signal so that the second sorghum samples having the same label are transmitted to the same downstream area, and the second sorghum samples having different labels are transmitted to different downstream areas, thereby realizing on-line rapid sorting of sorghum having different quality grades. Further, a sorting section 300 may be provided at a downstream position of the detection region of the transporting section 100, which is a flow path rear end in the normal transporting direction of the transporting section 100, and a different downstream region, which is a position closer to the flow path rear end than the designated position, to adjust the communication relationship of the upstream region and the different downstream region by the sorting section 300. Further, the front end of the flow along the conventional conveying direction of the transporting section 100 may be a storage section, wherein the storage section may be, for example, a sorghum warehouse.
Example 1
The present embodiment is an application of the method and/or system of the present invention in a preferred embodiment, and repeated descriptions are omitted.
Preferably, 80 sorghum grains with different varieties and production places and representativeness are selected as first sorghum samples, and near infrared spectrum information of standard samples is respectively obtained by scanning and collecting, wherein the near infrared spectrum information is used as modeling spectrum information, and the modeling spectrum information is shown as a sorghum line in fig. 2. Further, the first sorghum sample may be given a number.
Preferably, the above-mentioned 80 first sorghum samples are subjected to physical and chemical analysis to determine the physical and chemical indexes, so as to calculate the evaluation index of each sample, wherein the physical and chemical indexes can include amylose, amylopectin, fat, protein and tannin content of the sorghum.
Preferably, modeling spectrum information of a first sorghum sample with the same number is in one-to-one correspondence with modeling evaluation indexes, a proper spectrum pretreatment method and a proper wave band selection method are selected, and a scaling model for evaluating brewing characteristics of the sorghum is established. FIG. 4 is a scaled model for sorghum liquor characteristics assessment based on a selected first sorghum sample, in which the RMSECV predictive model uses cross-validation root mean square error, R 2 To determine coefficients.
Preferably, verification is performed for the established scaling model:
acquiring near infrared spectrum information of 15 third sorghum samples different from the first sorghum sample to determine a predicted value of a corresponding assessment index through the established scaling model;
obtaining physical and chemical indexes of the 15 third sorghum samples to calculate and obtain actual measurement values of the evaluation indexes of the corresponding samples;
comparing the relative deviation of the predicted and measured values of the evaluation indexes of the 15 third sorghum samples to obtain table 2:
TABLE 2
By comparing the average relative deviation with a set threshold, it can be found that the average relative deviation of the calibration model established in the embodiment is lower than the set threshold, i.e. the calibration model has better accuracy, and can be used for online rapid assessment of the brewing characteristics of sorghum.
Further, the second sorghum sample to be detected may determine a corresponding rating index by using the scaling model established in the embodiment, so as to obtain a corresponding sorghum liquor quality grade.
It should be noted that the above-described embodiments are exemplary, and that a person skilled in the art, in light of the present disclosure, may devise various solutions that fall within the scope of the present disclosure and fall within the scope of the present disclosure. It should be understood by those skilled in the art that the present description and drawings are illustrative and not limiting to the claims. The scope of the invention is defined by the claims and their equivalents. The description of the invention includes various inventive concepts such as "preferably," "according to a preferred embodiment," or "optionally," all means that the corresponding paragraph discloses a separate concept, and the applicant reserves the right to filed a divisional application according to each inventive concept. Throughout this document, the word "preferably" is used in a generic sense to mean only one alternative, and not to be construed as necessarily required, so that the applicant reserves the right to forego or delete the relevant preferred feature at any time.
Claims (10)
1. A method for rapidly judging and screening wine quality grade of sorghum liquor is characterized by comprising the following steps:
acquiring near infrared spectrum information of a first sorghum sample, and taking the near infrared spectrum information as modeling spectrum information;
obtaining a plurality of physicochemical indexes of the first sorghum sample by using a chemical measurement method, calculating to obtain an evaluation index of the brewing characteristics of the sorghum, and taking the evaluation index of the first sorghum sample as a modeling evaluation index;
establishing a calibration model based on the modeling spectrum information and the modeling evaluation index;
and acquiring near infrared spectrum information of the second sorghum sample, determining a corresponding evaluation index by utilizing the established calibration model after foreign matters are removed, and determining the sorghum brewing quality grade of the second sorghum sample by comparing the evaluation index of the second sorghum sample with a set calibration value.
2. The method according to claim 1, wherein the physicochemical index obtained by the chemical measurement method comprises at least: sorghum amylose content, amylopectin content, protein content, fat content and/or tannin content.
3. Method according to claim 1 or 2, characterized in that in establishing the calibration model, the modeled spectral information and the modeled evaluation index are paired one by one based on the number of the first sorghum sample, and a calibration model for the evaluation index of the sorghum brewing properties is established after spectral preprocessing and band selection.
4. A method according to any one of claims 1-3, characterized in that a number of third sorghum samples different from the first sorghum sample are selected to obtain near infrared spectral information of the third sorghum sample, and that a predicted value of the rating index of the respective third sorghum sample is determined using the established calibration model, wherein the accuracy of the established calibration model is evaluated by comparing the predicted value of the rating index with the measured value of the rating index of the respective third sorghum sample obtained by chemical assay.
5. The method according to any one of claims 1 to 4, wherein the second sorghum sample corresponding to the acquired near infrared spectrum information is judged in quality level based on the rating index determined by the scaling model, wherein the second sorghum sample having a different quality level is transmitted to a different downstream area in a manner of switching the transmission path based on the judged quality level.
6. A rapid decision screening system for wine quality grade of sorghum liquor, the system comprising:
a detection unit (200) for acquiring near infrared spectrum information of the sorghum sample,
a transport section (100) for transporting the sorghum sample and at least enabling the sorghum sample to pass through a detection area of the detection section (200),
An analysis part which is connected with the detection part (200) and/or the transportation part (100) in a communication way,
the analysis section is capable of establishing a calibration model based on the entered modeled spectral information and modeled assessment indices associated with the first sorghum sample, wherein,
near infrared spectrum information of the second sorghum sample passing through the detection area based on the transmission of the transport part (100) can be transmitted to the analysis part, so that the analysis part determines a corresponding rating index by using the established calibration model after removing the impurity, and determines the sorghum liquor quality grade of the second sorghum sample by comparing the rating index of the second sorghum sample with a set rating value.
7. The system of claim 6, wherein the plurality of physical and chemical indicators of the first sorghum sample are obtained by a chemical measurement method so that the analysis section storing the calculation formula for calculating the evaluation index can obtain the modeling evaluation index related to the first sorghum sample, wherein the physical and chemical indicators obtained by the chemical measurement method include at least: sorghum amylose content, amylopectin content, protein content, fat content and/or tannin content.
8. The system according to claim 6 or 7, characterized in that the system is provided with a sorting section (300) communicatively connected to the analysis section on the transport path of the transport section (100), the sorting section (300) switching the transport path of the transport section (100) based on a control signal generated by the analysis section, wherein the sorting section (300) is provided at a position downstream of the detection section (200) on the transport path of the transport section (100).
9. The system according to any one of claims 6 to 8, wherein the analysis section generates a control signal for adjusting the switching pattern of the sorting section (300) based on the sorghum liquor quality grade of any one of the second sorghum samples determined by the established scaling model to determine the distribution pattern of each second sorghum sample in a plurality of downstream areas.
10. The system according to any one of claims 6 to 9, wherein the analysis unit is configured to evaluate the accuracy of the established calibration model by using a relative deviation between a predicted value of the evaluation index obtained by calculating the near infrared spectrum information of the third sorghum sample obtained by the detection unit (200) and an actual measured value of the evaluation index obtained by calculating a plurality of physicochemical indexes of the third sorghum sample obtained by a chemical measurement method.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
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