Portable yellow wine alcoholic strength detection device and rapid detection method

Abstract

The invention discloses a portable yellow wine alcoholic strength detection device and a rapid detection method. The device comprises a power supply module, a light source module and a spectrograph, the power supply module is connected with the light source module and the spectrograph, a transmission detection module and an optical fiber adjustable attenuator are sequentially connected between the light source module and the spectrograph through optical fibers, and the transmission detection module is provided with a cuvette used for containing a yellow wine solution. An optical signal emitted by the light source module is emitted into the yellow wine solution in the cuvette, passes through the optical fiber adjustable attenuator and then is transmitted into the spectrograph, the spectrograph receives the signal, and the spectrograph is connected with a computer processing unit. The invention has the advantages of small size, light weight and strong portability; the detection speed is high, quantitative analysis of the alcoholic strength of the yellow wine can be completed in a short time, and the detection efficiency is greatly improved; besides, complicated sample pretreatment and professional operation skills are not needed, common personnel can operate the device through simple training, and meanwhile, the manufacturing cost and the use cost are greatly reduced.

Description

Technical Field

[0001] The present invention relates to a detection technology for the alcohol content of yellow rice wine, and specifically to a portable device for detecting the alcohol content of yellow rice wine and a rapid detection method. Background Art

[0002] With the rapid development of the food industry and the improvement of people's living standards, yellow rice wine, as a traditional fermented wine, has shown a prosperous market. The production process of yellow rice wine is relatively complex, mainly including the following steps: raw material preparation, rice steaming, cooling, koji addition and mixing with rice, fermentation, pressing, clarification, wine frying, aging, blending, filtration and packaging. Each link affects the quality and flavor of the final product. Before the finished product is put on the market, it is necessary to recheck the physical and chemical indicators, and they must meet the national or industrial standards. Among them, the alcohol content is one of the important indicators to measure the quality.

[0003] Traditional methods for detecting the alcohol content of yellow rice wine, such as the density bottle method, alcohol meter method, and gas chromatography method, although the detection results are accurate, have large sample consumption, cumbersome steps, long time consumption, lagging information feedback, and high requirements for professional operation technical capabilities, and it is difficult to meet the needs of on-site non-destructive rapid detection; while real-time non-destructive rapid detection can instantaneously feedback information, which helps the production department to take targeted measures, recall unqualified products, instantaneously investigate problems in the production process, adjust the production process, and prevent enterprises from suffering losses and affecting their reputation and image.

[0004] Near-infrared spectroscopy technology has the advantages of rapidity, non-destructiveness, environmental protection, and objective results. In recent years, this technology has been applied to the non-destructive rapid detection of the quality of yellow rice wine. For example, the invention patent application with the application number 200710306842.X and the name of a method for rapidly detecting the quality indicators of yellow rice wine, and the invention patent application with the application number 200510062102.7 and the name of an intelligent device for rapidly identifying the age of yellow rice wine based on near-infrared spectroscopy have both proposed corresponding non-destructive rapid detection solutions. However, most of the existing near-infrared scanning devices are large-scale laboratory instruments, which are expensive, large in size, heavy in weight, and inconvenient to carry, and are not suitable for on-site detection and popularization in multiple scenarios, and cannot meet the actual needs of yellow rice wine enterprises and industries for rapid, accurate, and convenient detection of alcohol content.

[0005] In recent years, visible-near-infrared spectroscopy technology has gradually been applied to the quality analysis of foods, etc. Compared with near-infrared technology, it has a low price, is light and easy to carry, and has a fast analysis speed. It has been used for on-line monitoring of the quality during the yellow rice wine fermentation process. For example, the invention patent application with the application number 201310122306.X and the name of an on-line monitoring method for the total sugar content during the yellow rice wine fermentation process, but it only discloses the detection of the total sugar content during the yellow rice wine fermentation process and cannot meet the requirements for alcohol content detection. Therefore, it is of great significance to develop a portable device for detecting the alcohol content of yellow rice wine to meet the actual market demand. Summary of the Invention

[0006] The technical problem to be solved by the present invention is to provide a rapid detection device and detection method for the alcohol content of yellow rice wine, which can achieve rapid quantitative analysis of the alcohol content of yellow rice wine.

[0007] To solve the above technical problem, the rapid detection device for the alcohol content of yellow rice wine of the present invention includes a power supply module, a light source module and a spectrometer. The power supply module is respectively connected to the light source module and the spectrometer and can supply power to the light source module and the spectrometer. A transmission detection module and an optical fiber tunable attenuator are sequentially connected between the light source module and the spectrometer through an optical fiber. A colorimetric cuvette for containing the yellow rice wine solution is provided on the transmission detection module. The optical signal emitted by the light source module is incident on the yellow rice wine solution in the colorimetric cuvette and transmitted to the spectrometer through the optical fiber tunable attenuator for the spectrometer to receive the signal. The spectrometer is connected to a computer processing unit, and the spectrometer is controlled by the computer processing unit to obtain the spectral data of the sample to be measured, and then the measured values of the physical and chemical indexes of the yellow rice wine sample are obtained.

[0008] Further, the power supply module includes a rechargeable lithium battery and / or an external AC power supply.

[0009] Still further, the transmission detection module includes an optical signal input interface, an optical signal output interface and a colorimetric cuvette slot, and the colorimetric cuvette is placed on the colorimetric cuvette slot.

[0010] Still further, the power supply module, the light source module and the spectrometer are integrally arranged in a housing, and a power switch, a light source switch and a power display screen are arranged on the housing.

[0011] Still further, the spectrometer uses an InGaAs detector.

[0012] A rapid detection method using the above rapid detection device for the alcohol content of yellow rice wine includes the following steps:

[0013] A. Detection of the alcohol content of yellow rice wine: Using the alcohol meter method, measure the alcohol content of different yellow rice wine samples to obtain the measured values of physical and chemical analysis;

[0014] B. Collection of the spectral data of yellow rice wine: Using the rapid detection device for the alcohol content of yellow rice wine as described in claim 1 and selecting a 10 mm optical path quartz colorimetric cuvette as the sample cell, rapidly and nondestructively collect the visible-near infrared spectral data (350-1100 nm) of yellow rice wine.

[0015] C. Optimization analysis of the yellow rice wine detection model: Perform preprocessing on the visible-near infrared spectral data collected in step B using standard normal variate transformation, and then establish a partial least squares regression detection model between the preprocessed visible-near infrared spectral data and the measured data of the alcohol content physical and chemical properties;

[0016] D. Rapid detection of the alcohol content of yellow rice wine: By transmitting spectral data in real time through a computer processing unit and combining with the alcohol content detection model in the computer processing unit, the spectral information of the yellow rice wine sample to be measured is collected in real time, realizing the on-site rapid detection of the alcohol content in the yellow rice wine sample.

[0017] Further, the detection wavelength range of the spectrometer is 350 - 1100 nm.

[0018] Still further, in step C, the alcohol content detection model of the yellow rice wine is modeled by intercepting the wavelength range of 430 - 977 nm.

[0019] Still further, detection models for various connotation component indexes are set in the computer processing unit.

[0020] Still further, the component indexes are alcohol content, total sugar, total acid, and pH value. The advantages of the present invention are:

[0021] Directly through a portable carrier constructed by a power supply module, a light source module, a spectrometer, etc. integrated in a housing and supporting it with a transmission detection module, an optical fiber variable attenuator, a computer processing unit, etc., the whole device for rapid detection of the alcohol content of yellow rice wine is formed. It combines visible-near infrared spectroscopy technology with a computer processing unit. It is not only small, light, and highly portable, easy to carry and use on-site, suitable for application in various occasions such as the yellow rice wine production site and the quality supervision site; moreover, its detection speed is fast, and it can complete the quantitative analysis of the alcohol content of yellow rice wine in a short time, greatly improving the detection efficiency; in addition, its ingenious and simple structural design does not require complex sample pretreatment and professional operation skills, and ordinary personnel can start operating after simple training. At the same time, compared with traditional large-scale detection equipment, the manufacturing cost and use cost of this device are greatly reduced, which is conducive to wide promotion and use in the yellow rice wine industry, effectively solving the deficiencies existing in the prior art. Description of the Drawings

[0022] Figure 1 It is a schematic structural diagram of the device for rapid detection of the alcohol content of yellow rice wine of the present invention;

[0023] Figure 2 It is a flowchart of the method for rapid detection of the alcohol content of yellow rice wine of the present invention. Detailed Embodiments

[0024] The following further elaborates in detail on the device for detecting the alcohol content of yellow rice wine and the rapid detection method of the present invention in conjunction with the drawings and specific embodiments.

[0025] Example 1:

[0026] As Figure 1As shown in the figure, the rapid alcohol content detection device for yellow rice wine of the present invention includes a power supply module 1, a light source module 2, a spectrometer 3, a transmission detection module 4, an optical fiber variable attenuator 5, a computer processing unit 6, an optical fiber 13, a USB data transmission line 14, etc. The power supply module 1 is respectively connected to the light source module 2 and the spectrometer 3 and can supply power to the light source module and the spectrometer. From Figure 1 It can be seen that the said power supply module 1, light source module 2, and spectrometer 3 are integrally arranged in a housing (28×20×12 cm) 9 made of aluminum alloy metal. A power switch 10, a light source switch 11, a power display screen 12, etc. are arranged on the housing 9. A transmission detection module 4 and an optical fiber variable attenuator 5 are sequentially connected between the light source module 2 and the spectrometer 3 through optical fibers, that is, the light source module, the attenuator, the transmission module, and the spectrometer are connected in series through three optical fibers. Components such as the battery module, the light source module, and the spectrometer are tightly fixed on the bottom plate of the aluminum alloy housing, having a certain shockproof effect. The outer shell has a small size, light weight, and is portable, suitable for on-site detection;

[0027] The transmission detection module 4 (which can use the S4 colorimetric cell spectroscopic measurement bracket of Shanghai Chenchang) includes a detection optical signal incident interface 7 (SMA905 interface), a detection optical signal output interface 8 (SMA905 interface), and a colorimetric cell card slot 18 located at its top. The slot width is 10 mm. In the transmission measurement mode, the irradiation spot diameter is 5 mm and the spot height is 10 mm. The colorimetric cell card slot is used to place the colorimetric cell. At the same time, it can be seen from the figure that on the left side of the housing, there is a light source optical signal output interface 15 and a spectrometer optical signal incident interface 16. On the right side of the housing, there is a USB data transmission line interface 17. One end of the optical fiber between the light source module 2 and the transmission detection module 4 is connected to the light source optical signal output interface 15, and the other end is connected to the detection optical signal incident interface 7. One end of the optical fiber between the transmission detection module 4 and the optical fiber variable attenuator 5 is connected to the optical fiber variable attenuator 5, and the other end is connected to the detection optical signal output interface 8. One end of the optical fiber between the optical fiber variable attenuator 5 and the spectrometer 3 is connected to the optical fiber variable attenuator 5, and the other end is connected to the spectrometer optical signal incident interface 16. The optical signal is received from the light source module through the optical fiber, output through the transmission detection module and the optical fiber variable attenuator, and finally input into the spectrometer. During this process, the optical signal emitted by the light source module 2 is shot into the yellow rice wine solution in the colorimetric cell and transmitted into the spectrometer through the optical fiber variable attenuator 5 for the spectrometer to receive the signal. The specific optical signal transmission path is: light source emitted by the light source model → optical fiber → transmission detection module → optical fiber → optical fiber variable attenuator → optical fiber → spectrometer. The optical path of the colorimetric cell card slot in the transmission module is 10 mm. The spectrometer 3 is connected to a computer processing unit 6. The spectrometer is controlled through the computer processing unit to obtain the spectral data of the sample to be measured, and then the physicochemical index measurement value of the yellow rice wine sample is obtained. In addition, the computer processing unit can upload the detection result to the cloud or save it to the local database, finally realizing the on-site non-destructive and rapid detection of the alcohol content of yellow rice wine. Specifically, the computer processing unit controls the spectrometer and obtains the spectral data of the sample to be measured by calling the spectrometer driver function. Then, by calling the graph drawing function, the collected spectral curve is displayed in the graph window. Then, the established detection model algorithm can be called to quickly calculate the physicochemical index measurement value of the yellow rice wine sample. Finally, the detection data is uploaded through the data upload interface address of the detection platform, or the result is saved locally. Thus, the alcohol content of yellow rice wine can be quickly and quantitatively detected, which is suitable for on-site or online detection and analysis. It can conveniently and quickly collect the spectral information of the sample and obtain the detection result in real time, without consuming chemical reagents and without causing environmental pollution.

[0028] Further, the spectrometer 3 uses an InGaAs detector to receive optical signals and convert them into electrical signals for output. It has high sensitivity and detectivity. The detection wavelength range of the spectrometer is 350 - 1100 nm, which can effectively cover the visible spectral region of 400 - 780 nm and part of the near-infrared spectral Herschel spectral region of 780 - 1100 nm. The signal-to-noise ratio is 6000:1, and it has high-throughput spectral information. The spectrometer receives optical signals through an SMA905 single-fiber interface; the power supply module 1 includes a rechargeable lithium battery and / or an external AC power supply, the light source module 2 is an Ocean Optics HL-2000 type tungsten halogen light source with a working power of 5 W, and the detection wavelength range of the spectrometer module is 350 - 1100 nm.

[0029] Embodiment 2:

[0030] This embodiment provides a rapid detection method using the rapid detection device for the alcohol content of yellow rice wine in Embodiment 1. This method mainly collects the visible-near-infrared spectral data (350 - 1100 nm) of yellow rice wine samples, combines standard normal variate transformation (SNV) preprocessing and partial least squares (PLS) regression model to establish an alcohol content prediction model, and uses the above rapid detection device for yellow rice wine alcohol content to transmit spectral data in real time and quickly analyze the results. It has the advantages of strong portability, fast detection speed, simple operation, low cost, etc., and is suitable for rapid non-destructive detection in the yellow rice wine production site and quality supervision. Specifically, it includes the following steps:

[0031] A. Detection of the alcohol content of yellow rice wine: Using an alcohol meter method, measure the alcohol content of different yellow rice wine samples to obtain the physicochemical analysis measurement values;

[0032] B. Collection of yellow rice wine spectral data: Through the power supply module 1, the light source module 2, the fiber optic variable attenuator 5, the transmission detection module 4, and the spectrometer 3, with a 10-mm optical path quartz cuvette as the sample cell, quickly and non-destructively collect the visible-near-infrared spectral data (350 - 1100 nm) of yellow rice wine. Among them, the light source module 2 is a tungsten halogen lamp with a working power of 5 W, the detection wavelength range of the spectrometer is 350 - 1100 nm, and the signal-to-noise ratio is 6000:1;

[0033] C. Optimization analysis of the yellow rice wine detection model: Use standard normal variate transformation (SNV) to preprocess the visible-near-infrared spectral data collected in step B, and combine the preprocessed visible-near-infrared spectral data with the physicochemical analysis measurement values in step A to establish a partial least squares (PLS) regression detection model;

[0034] D. Rapid detection of the alcohol content of yellow rice wine: Transmit the spectral data to the computer via a USB data cable, and then the computer processing unit can transmit the spectral data in real time, call the detection model in step C to analyze the spectral information of the sample to be tested in real time, and output the alcohol content detection result, that is: Combine the detection model in the computer processing unit to analyze the spectral information of the yellow rice wine sample to be tested in real time, realize the on-site rapid detection of the alcohol content in the yellow rice wine sample. Using USB transmission, the signal is stable, the noise is small, which is conducive to the effective transmission of spectral data;

[0035] Further, in the said step C, the yellow rice wine detection model is modeled by intercepting the wavelength range of 430 - 977 nm.

[0036] Still further, as an expansion, in the said step C, the established detection model supports the extension to the quantitative detection of total sugar, total acid and pH value, and dynamically optimizes the model prediction accuracy by adding new sample data. Specifically, there are detection models with various internal component indicators set in the computer processing unit, and the component indicators are alcohol content, total sugar, total acid, pH value, etc., that is: Support the detection models for various internal component indicators in yellow rice wine, not only limited to the detection of alcohol content, but also can be used for the quantitative detection of physical and chemical indicators such as total sugar, total acid, pH, etc., broadening the application scope of the detection system; The yellow rice wine alcohol content detection model can be re-optimized with the increase of the number of collected samples and the increase of spectral information, improving the prediction accuracy.

[0037] The following verifies its effect by combining specific application examples:

[0038] The present invention has universality for the quantitative detection of the internal components of the solution. The selected alcohol content in this case is one of the important indicators for the quality, taste and flavor of yellow rice wine, and the non-destructive detection of other physical and chemical indicators can refer to this example.

[0039] The experiment selected the finished product sampling inspection of the Baihua series yellow rice wine produced by Zhenjiang Hengshun Winery from 2023 to 2024 to evaluate whether the quality of the yellow rice wine meets the national standard quality requirements. A total of 184 batches of samples were collected before and after, and 148 samples were randomly selected as calibration set samples to establish a calibration model, and 36 samples were used as validation set samples to verify the robustness and prediction ability of the model.

[0040] It includes the following steps:

[0041] Collect 184 batches of samples of the Baihua series yellow rice wine produced by Zhenjiang Hengshun Winery from 2023 to 2024, randomly select 148 samples as calibration set samples, and 36 samples as validation set samples.

[0042] Refer to the distillation method in "GB / T 13662 - 2018 Yellow Rice Wine" to detect the alcohol content of yellow rice wine, and measure the alcohol content of 184 batches of samples.

[0043] According to the operation steps, build a yellow rice wine alcohol content detection device, collect the spectral information of the sample. The scanning range of the spectrometer is 350 - 1100 nm. Set the scanning parameters: integration time 3500 μs, average number of times 3, smoothness 5, and collect the visible-near infrared spectral information to obtain the spectral data of the sample.

[0044] The collected visible-near infrared spectrum contains noise information, background drift, etc. Use the standard normal variate transformation (SNV) to preprocess the spectral data, and then establish a partial least squares (PLS) regression detection model between the preprocessed visible-near infrared spectral data and the alcohol content physical and chemical determination data. The effective wavelength range intercepted for model establishment is 430 - 977 nm.

[0045] Import the visible-near infrared spectral data of the sample to be measured into the detection model to obtain the measured value of the alcohol content of the sample to be measured. Table 1 shows the prediction results and physical and chemical analysis results of the yellow rice wine alcohol content based on the visible-near infrared spectral technology and its portable detection device. The results show that there is no significant difference between the detection results of the portable yellow rice wine alcohol content detection method and device provided by the present invention and the conventional physical and chemical analysis method, indicating that the method and device provided by the present invention are feasible for rapid, non-destructive, and real-time online analysis of the yellow rice wine alcohol content.

[0046] Table 1 Prediction results and physical and chemical analysis results of the yellow rice wine alcohol content based on the visible-near infrared spectral technology and its portable detection device

[0047]

[0048] Of course, the above description is not a limitation of the present invention, and the present invention is not limited to the above examples. Changes, modifications, additions, or substitutions made by those skilled in the art within the scope of the essence of the present invention should also fall within the protection scope of the present invention.

Claims

1. A rapid detection device for the alcohol content of yellow rice wine, characterized in that: It includes a power supply module (1), a light source module (2) and a spectrometer (3). The power supply module (1) is respectively connected to the light source module (2) and the spectrometer (3) and can supply power to the light source module and the spectrometer. A transmission detection module (4) and an optical fiber variable optical attenuator (5) are sequentially connected between the light source module (2) and the spectrometer (3) through an optical fiber. A cuvette for containing yellow rice wine solution is provided on the transmission detection module (4). The optical signal emitted by the light source module (2) is incident on the yellow rice wine solution in the cuvette and is transmitted to the spectrometer through the optical fiber variable optical attenuator (5) for the spectrometer to receive the signal. The spectrometer (3) is connected to a computer processing unit (6). The spectrometer is controlled by the computer processing unit and spectral data of the sample to be measured is obtained, and then the physicochemical index measurement value of the yellow rice wine sample is obtained.

2. The rapid alcohol content detection device for yellow rice wine according to claim 1, characterized in that: The power supply module (1) includes a rechargeable lithium battery and / or an external AC power supply.

3. The rapid alcohol content detection device for yellow rice wine according to claim 1 or 2, characterized in that: The transmission detection module (4) includes an optical signal incident interface (7), an optical signal output interface (8) and a cuvette slot, and the cuvette is placed on the cuvette slot.

4. The rapid alcohol content detection device for yellow rice wine according to claim 3, characterized in that: The power supply module (1), the light source module (2) and the spectrometer (3) are integrally arranged in a housing (9). A power switch (10), a light source switch (11) and a power display screen (12) are arranged on the housing (9).

5. The rapid alcohol content detection device for yellow rice wine according to claim 1, 2 or 4, characterized in that: The spectrometer (3) uses an InGaAs detector.

6. A rapid detection method using the rapid detection device for the alcohol content of yellow rice wine as described in any one of claims 1-5, characterized in that, It includes the following steps: A. Detection of the alcohol content of yellow rice wine: The alcoholometry method is adopted to measure the alcohol content of different yellow rice wine samples to obtain the physicochemical analysis measurement value. B. Collection of the spectral data of yellow rice wine: Using the rapid alcohol content detection device for yellow rice wine as described in claim 1 and selecting a 10-mm optical path quartz cuvette as the sample cell, the visible-near infrared spectral data (350 - 1100 nm) of yellow rice wine is collected quickly and non-destructively. C. Optimization analysis of the yellow rice wine detection model: The standard normal variate transformation is adopted to preprocess the visible-near infrared spectral data collected in step B, and then a partial least squares regression detection model is established between the preprocessed visible-near infrared spectral data and the alcohol content physicochemical measurement data. D. Rapid detection of the alcohol content of yellow rice wine: The spectral data is transmitted in real time through the computer processing unit. Combining with the alcohol content detection model in the computer processing unit, the spectral information of the yellow rice wine sample to be measured is collected in real time to realize the on-site rapid detection of the alcohol content in the yellow rice wine sample.

7. The rapid detection method for the alcohol content of yellow rice wine according to claim 6, wherein: The detection wavelength range of the spectrometer is 350 - 1100 nm.

8. The rapid detection method for the alcohol content of yellow rice wine according to claim 7, wherein: In step C, the detection model is established by intercepting the wavelength range of 430 - 977 nm.

9. The rapid detection method for the alcohol content of yellow rice wine according to claim 8, characterized in that: A detection model with multiple connotation component indexes is set in the computer processing unit.

10. The rapid detection method for the alcohol content of yellow rice wine according to claim 9, wherein: The component indexes are alcohol content, total sugar, total acid, pH value.

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