Ultrafast and nondestructive testing method for solid cis-trans butenedioic acid

Abstract

The invention discloses an ultra-fast and nondestructive testing method for solid cis-trans butenedioic acid, relates to the technical field of testing or analyzing materials by means of measuring chemical or physical properties of the materials, and is suitable for quality control of chemical raw materials and monitoring of an organic synthesis process. Comprising the following steps: taking mixed powder of a cis-isomer and a trans-isomer of butenedioic acid; sequentially carrying out ultrasonic mixing and tabletting forming on the mixed powder, and obtaining a characteristic peak area ratio of a cis-isomer to a trans-isomer of the butenedioic acid by adopting a Raman spectrum; establishing a prediction model; and based on the prediction model, predicting to obtain the mass ratio of the cis-isomer to the trans-isomer of the butenedioic acid in the pretreated powder. According to the method, the high-uniformity sample is constructed by screening to control the particle size and ultrasonic dry mixing, and meanwhile, precise measurement of the mass fraction of the cis-trans isomer mixture is realized by combining precise control of tabletting process parameter pressure.

Description

Technical Field

[0001] The present invention relates to the technical field of testing or analyzing materials by means of measuring the chemical or physical properties of the materials, and in particular to an ultra-fast and non-destructive detection method for solid cis-trans butenedioic acid. Background Art

[0002] Maleic acid and fumaric acid, as important dicarboxylic acid isomers, are widely used in food additives, pharmaceutical synthesis, and polymer materials industries. Their chemical properties and biological activities differ significantly: fumaric acid is a commonly used food acidity regulator, while maleic acid's use is strictly restricted due to its potential toxicity. Therefore, quickly and accurately determining the ratio of the two in a mixture is crucial for ensuring product quality, regulatory compliance, and process optimization.

[0003] Currently, analysis of the ratio of cis / fumaric acid primarily relies on chromatography and mass spectrometry. Chromatography offers high precision and a mature methodology, but it requires sample component separation prior to detection, resulting in complex sample pretreatment and limited real-time, in-situ detection. While mass spectrometry offers high sensitivity, it relies on chromatographic pre-separation due to the similar molecular weights and fragment ion spectra of the isomers, and this is accompanied by high instrument costs. Furthermore, UV spectroscopy is simple to use and fast, but the significant overlap of their UV absorption peaks makes spectral decoupling difficult, hindering quantitative analysis. Furthermore, maleic acid and fumaric acid are both solid powders at ambient temperature and pressure, with differences in their crystal morphology and physical properties (such as density and flowability), making them prone to uneven mixing in solid mixtures. This unevenness significantly impacts the representativeness of Raman spectroscopy results based on point sampling, making it difficult for local measurements to reflect the true composition ratio of the entire sample.

[0004] Raman spectroscopy, with its ability to identify molecular vibrational fingerprints, offers a new approach to addressing these challenges. By detecting inelastic scattered light and capturing the signature of chemical bond vibrational energy transitions, this technique offers significant advantages, including non-destructive testing, no sample pretreatment, rapid detection speed, and compatibility with in situ detection. However, when applying Raman spectroscopy to solid mixtures, the intensity of the Raman spectrum is susceptible to the influence of the solid surface morphology, including powder size and compaction. To mitigate this influence, some existing techniques use Raman spectral intensity and a single multiplier effect parameter to package all physical interferences (particle size, density, etc.). This lacks a clear understanding of the independent influence mechanisms of these physical factors, resulting in large estimation errors. Furthermore, modeling directly using raw full-spectral data is susceptible to interference from overlapping peaks, making it difficult to optimize for isomer-specific peaks. These technical shortcomings hinder the accurate identification of powdered solids, making it difficult to distinguish cis- from fumaric acid. Summary of the Invention

[0005] In order to solve the above problems, the present invention provides an ultra-fast and non-destructive detection method for solid cis-trans butenedioic acid.

[0006] An ultra-fast and non-destructive detection method for solid cis-trans butenedioic acid comprises the following steps: A mixed powder of cis-isomer and trans-isomer of butenedioic acid is obtained, wherein the particle size of the mixed powder ranges from 75 to 150 μm; The mixed powder is ultrasonically mixed and tableted in sequence to obtain a pretreated powder, and the characteristic peak area ratio of the cis isomer to the trans isomer of butenedioic acid in the pretreated powder is obtained based on Raman spectroscopy; Based on the prediction model, the mass ratio of the cis isomer to the trans isomer of butenedioic acid in the pretreated powder is measured; wherein the input of the prediction model is the characteristic peak area ratio of the cis isomer to the trans isomer of butenedioic acid and the pressure during tableting, and the output is the mass ratio of the cis isomer to the trans isomer of butenedioic acid.

[0007] Description: By setting the particle size range of the mixed powder and performing pretreatments such as ultrasonic mixing and tableting, the above method can eliminate interference from inconsistent sample surface morphology, ensure the stability of spectral acquisition, and improve the accuracy of subsequent measurements. At the same time, this method regresses the characteristic peak area ratio with the mass ratio to achieve rapid and accurate determination from microscopic spectral data to macroscopic mass ratio, greatly improving analytical efficiency and accuracy, and providing a highly efficient and reliable method for in-depth research on butenedioic acid isomers.

[0008] Furthermore, the mixed powder is obtained by sieving through mechanical vibration.

[0009] Note: The mechanical sieve can precisely control the powder particle size range, making the mixed powder highly uniform and consistent. This facilitates the stable execution of subsequent ultrasonic mixing, tableting, and other steps, and improves the accuracy and repeatability of Raman spectroscopy detection.

[0010] Furthermore, the method of ultrasonically mixing the mixed powder is as follows: placing the mixed powder in a sealed inert container, using an ultrasonic oscillation device for dry mixing, the ultrasonic oscillation frequency is 20-40 kHz, the time is 5-15 minutes, and the ultrasonic mixing is completed.

[0011] Description: By setting the ultrasonic oscillation frequency and time, the powder can be fully dispersed and evenly mixed under the action of ultrasound to avoid local uneven concentration, and the change of powder properties due to excessive treatment can be prevented. This provides high-quality and consistent pre-treated powder for subsequent tableting, Raman spectroscopy detection, and other links, helping to improve the accuracy and reliability of the entire experimental process.

[0012] Furthermore, the tableting method includes: transferring the mixed powder after ultrasonic mixing to a pressure device for tableting under a pressure P, the tableting thickness is 1 mm, the tableting area in the pressure device is fixed, and the mass of the mixed powder added to the pressure device each time is the same.

[0013] Note: The above measures ensure the consistency and repeatability of the tableting operation, making the density and other physical properties of tablet samples from different batches tend to be consistent, thereby improving the stability and accuracy of the experiment.

[0014] Furthermore, the method for obtaining the characteristic peak area ratio of the cis isomer to the trans isomer of butenedioic acid in the pretreated powder based on Raman spectroscopy technology includes: respectively obtaining the standard Raman spectra of the cis isomer and the trans isomer of butenedioic acid; Obtaining characteristic peaks of the Raman spectrum of the cis isomer and the Raman spectrum of the trans isomer of butenedioic acid according to the standard Raman spectrum of the cis isomer and the standard Raman spectrum of the trans isomer of butenedioic acid; Based on the Raman spectrum characteristic peaks of the cis isomer and the trans isomer of butenedioic acid, the characteristic peak area ratio of the cis isomer to the trans isomer of butenedioic acid is obtained by using a Gaussian fitting method.

[0015] Description: Determining characteristic peaks based on standard spectra effectively identifies key information reflecting isomer properties and avoids interference from irrelevant signals. The characteristic peak area ratio is calculated using a mature Gaussian fitting method. This method accurately quantifies characteristic peak parameters, greatly improving the accuracy and stability of the ratio, and providing solid data support for accurately predicting the mass ratio of cis- to trans-isomers of butenedioic acid in pretreated powders.

[0016] Furthermore, the prediction model adopts a linear regression model, and the expression of the linear regression model is: y = a·x+ b·P+c (1); Wherein, a, b, and c are fitting coefficients, P is the pressure during tableting, x is the mass ratio of the cis isomer to the trans isomer of butenedioic acid, and y is the characteristic peak area ratio of the cis isomer to the trans isomer of butenedioic acid.

[0017] Explanation: The above linear regression model clearly demonstrates the linear relationship between variables. Using tableting pressure and the cis-trans isomer mass ratio as independent variables, it establishes a relationship with the characteristic peak area ratio. This comprehensively considers key factors influencing the experimental results, making the model more scientific and comprehensive. By determining the fitting coefficients a, b, and c, a precise quantitative relationship between variables can be accurately fitted based on known data, enabling accurate determination of the cis-trans isomer mass ratio of butenedioic acid in pretreated powder.

[0018] Furthermore, the training method of the prediction model includes: Obtain characteristic peak area ratios of the cis-isomer and the trans-isomer of butenedioic acid at various mixing ratios and various tableting pressures, and obtain a pressure-characteristic peak area ratio data set; The pressure and characteristic peak area ratio data set is used as input and various mixing ratios are used as output. Model simulation training and verification are performed to obtain the trained prediction model.

[0019] Description: The above method obtains characteristic peak area ratios under various mixing ratios and tableting pressures to form a comprehensive pressure-to-characteristic peak area ratio dataset. This dataset covers a variety of experimental variable combinations and can fully reflect the changes in the characteristics of the cis- and trans-isomers of butenedioic acid under different conditions, providing a sufficient and representative data basis for model training.

[0020] Furthermore, the prediction model adopts a support vector regression model or a random forest model.

[0021] Note: Support vector regression performs well in processing high-dimensional data and nonlinear relationships, and can better capture complex underlying patterns in the data. The random forest model, by constructing and integrating multiple decision trees, has strong anti-overfitting capabilities, is insensitive to outliers in the data, and can evaluate the importance of each feature.

[0022] Furthermore, the pressure range during tableting is 10-100 MPa.

[0023] Note: By limiting the pressure range during tableting, poor tableting results caused by improper pressure settings can be avoided. If the pressure is too low, the powder tablets may not be compacted tightly and the structure may be loose, affecting the accuracy of subsequent Raman spectroscopy detection; if the pressure is too high, the powder particle structure may be damaged.

[0024] The beneficial effects of the present invention are: The present invention controls the particle size range of the mixed powder and performs pretreatments such as ultrasonic mixing and tableting, thereby eliminating interference from the uneven surface morphology of the sample and ensuring the stability of spectral acquisition, thereby improving the accuracy of subsequent measurement results. The method regresses the characteristic peak area ratio with the mass ratio to achieve rapid and accurate determination from microscopic spectral data to macroscopic mass ratio, greatly improving analysis efficiency and accuracy, and providing an efficient and reliable method for in-depth research on butenedioic acid isomers. Specifically, the present invention has the advantages of highly selective structural identification, non-destructive and rapid in-situ detection, multi-component simultaneous detection, high-sensitivity quantitative analysis, and improved quantitative accuracy of solid powders. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 It is a schematic diagram of the molecular structure of the cis and trans isomers of butenedioic acid; Figure 2 This is a standard Raman spectrum of cis / trans butenedioic acid in the embodiment of the present invention; Figure 3 1 is a standard curve diagram of the ground mixed sample of cis / trans butenedioic acid in the embodiment of the present invention; Figure 4 1 is a Raman spectrum diagram of different points when cis / trans butenedioic acid is ground and mixed at a mass ratio of 2:8 in an embodiment of the present invention; Figure 5 This is a Raman spectrum diagram between maleic acid and trans-butenedioic acid after process optimization in an embodiment of the present invention; Figure 6 3. It is a standard curve diagram between maleic acid and trans-butenedioic acid after process optimization in the embodiment of the present invention; Figure 7 1 is a sample Raman spectrum data diagram of an isomer mixture with unknown mass fraction in an embodiment of the present invention; Figure 8 These are Raman spectra collected after tableting a cis / trans butenedioic acid mixture with a mass ratio of 5:5 at different pressures in an embodiment of the present invention. DETAILED DESCRIPTION

[0026] In order to further illustrate the approach and effects achieved by the present invention, the technical solution of the present invention will be clearly and completely described below in conjunction with experiments.

[0027] In response to the challenges of uniformity faced by solid mixtures mentioned in the background technology, this invention, based on Raman spectroscopy technology, effectively overcomes the influence of local heterogeneity by designing a rational particle size screening, ultrasonic dry mixing, and pressure control strategy, combined with characteristic peak extraction and Gaussian function fitting analysis algorithm, and achieves reliable differentiation and identification of cis and trans isomers of butenedioic acid and accurate quantitative analysis of the mass fraction of its mixture. This method breaks through the timeliness and complexity bottlenecks of traditional detection and provides an efficient solution for food quality inspection, pharmaceutical raw material monitoring, and chemical reaction processes. The specific scheme is as follows: Example 1: An ultra-fast and non-destructive detection method for solid cis-trans butenedioic acid, comprising the following steps: S1. Prepare a mixed powder of cis-isomer and trans-isomer of butenedioic acid, wherein the particle size of the mixed powder ranges from 75 to 150 μm; The mixed powder is obtained by mechanical sieving; specifically, the cis-isomer and trans-isomer powders of butenedioic acid are ground separately, and then sieved using a double sieve; the double sieve includes two layers of standard metal sieves, the upper sieve has an aperture of 150 μm, and the lower sieve has an aperture of 75 μm, and the intermediate particles retained on the upper layer of the lower sieve, i.e., the target powder with a particle size range of 75 to 150 μm, are collected; the molecular structure of cis-trans butenedioic acid is as follows Figure 1 As shown; S2. Ultrasonic mixing and tableting of the mixed powders are sequentially performed to obtain pretreated powders, and characteristic peak area ratios of cis-isomers and trans-isomers of butenedioic acid in the pretreated powders are obtained based on Raman spectroscopy; The method for ultrasonically mixing the mixed powder is as follows: the mixed powder is placed in a sealed inert container and dry-mixed using an ultrasonic oscillation device at an ultrasonic oscillation frequency of 20 to 40 kHz for 5 to 15 minutes to complete the ultrasonic mixing, thereby achieving uniform dispersion of the powder at a microscopic scale; The tableting method comprises: transferring the mixed powder after ultrasonic mixing to a press device and compressing the tablet under a pressure P, wherein the tablet thickness is 1 mm, the tableting area in the press device is fixed, and the die is 1 / 2 inch. The mass of the mixed powder added to the press device each time is the same, and the mass of the mixed powder is 0.1 g. The pressure range of the tableting is 10-100 MPa. The method for obtaining the characteristic peak area ratio of the cis isomer to the trans isomer of butenedioic acid in the pretreated powder based on Raman spectroscopy technology includes: S2-1. Obtain the standard Raman spectra of the cis isomer and the trans isomer of butenedioic acid respectively; specifically, place a single-component pure sample on the sample stage of a Raman spectrometer, use a laser with a wavelength of 532 nm and a laser power of 10 mW, and collect wavenumbers in the range of 150-2000 cm-1 , using a 1200-line / mm grating, an integration time of 30 s, and scanning three times to obtain a standard Raman spectrum, such as Figure 2 As shown; S2-2. Obtaining characteristic peaks of the standard Raman spectrum of the cis isomer and the trans isomer of butenedioic acid based on the standard Raman spectrum of the cis isomer and the trans isomer of butenedioic acid; Specifically, the characteristic peaks obtained include 863 cm -1 (maleic acid) and 693 cm -1 (trans-butenedioic acid), calculated at 863 cm -1 The peak area accounts for 693 cm -1 The ratio of the sum of peak areas was used as the quantitative analysis variable; S2-3, based on the Raman spectrum characteristic peaks of the cis isomer and the Raman spectrum characteristic peaks of the trans isomer of butenedioic acid, a Gaussian fitting method is used to obtain the characteristic peak area ratio of the cis isomer to the trans isomer of butenedioic acid; S3. Based on the prediction model, the mass ratio of the cis isomer to the trans isomer of butenedioic acid in the pretreated powder is measured; wherein the input of the prediction model is the characteristic peak area ratio of the cis isomer to the trans isomer of butenedioic acid and the pressure during tableting, and the output is the mass ratio of the cis isomer to the trans isomer of butenedioic acid; The above prediction model adopts a linear regression model, and the method of training the prediction model includes: S3-1. Obtain characteristic peak area ratios of the cis-isomer to the trans-isomer of butenedioic acid at various mixing ratios and various tableting pressures to obtain a pressure-characteristic peak area ratio data set; Specifically, a 10-90% cis / trans isomer mixed sample is obtained: a plurality of mixed ratios, i.e., a 10-90% mass fraction of cis / trans isomer mixed samples are obtained, and the Raman spectrum is collected according to the above steps, and Gaussian fitting is performed on the target characteristic peak to extract the characteristic peak area ratio; illustratively, the specific implementation process of the plurality of mass ratios is: a mixed powder of butenedioic acid with a mass ratio of cis isomer to trans isomer of 10%, 20%, 30%, 40%, 50%, 60%, 70%, 80%, 90% is measured according to step (1) in the above content to obtain the Raman spectrum of the sample of each mass ratio, as shown in FIG. Figure 2 、 Figure 5 As shown; and the characteristic peak 863 cm -1 (maleic acid) and 693 cm -1 (trans-butenedioic acid) was subjected to Gaussian fitting to calculate the peak area, and the results are shown in Table 1; Table 1 Peak area calculation results under various mass ratios

[0028] S3-2. Obtain tablets at different pressures (5 MPa, 10 MPa, 15 MPa, 50 MPa) for each sample ratio to generate multiple batches of samples. For each sample: record the tableting pressure P; extract the characteristic peak area ratio y of the cis- to trans-forms by Raman spectroscopy; S3-3, using the pressure and characteristic peak area ratio data set as input and multiple mixing ratios as output, performing model simulation training and verification to obtain a trained prediction model; Model training and validation: Input variables: peak area ratio y, pressure P; Output variable: cis / trans isomer mass ratio x; The multivariate linear regression algorithm is used to minimize the prediction error to solve the fitting coefficients a, b, c: then the model equation is output; and the model is verified and optimized, and the coefficient of determination R is used to determine the 2 Evaluate prediction accuracy, R 2 The closer it is to 1, the higher the prediction accuracy; Preferably, in other embodiments or in the cis-trans isomers of other substances, before forming a linear regression model, it is determined whether the effect of P is linear. If it is linear, the expression in the following formula (1) is used. If it is not linear, P can be introduced. 2 The model calculation method is the same as that of this solution and will not be repeated here; The expression of the above linear regression model is: y = a·x+ b·P+c (1); Wherein, a, b, c are fitting coefficients, P is the pressure during tableting, x is the mass ratio of the cis isomer to the trans isomer of butenedioic acid, and y is the characteristic peak area ratio of the cis isomer to the trans isomer of butenedioic acid; the Raman spectrum is shown in FIG. Figure 5 As shown; Specifically, based on Figure 7 The Raman spectrum data of the sample of the isomer mixture with unknown mass fraction is used for prediction. The pressure and characteristic peak area ratio in the sample Raman spectrum data are used as input. The mass ratio of the cis-isomer to the trans-isomer of butenedioic acid in the pretreated powder can be obtained by solving the prediction model. For example, in this scheme, after simulation, it is found that the accuracy is better when the pressure P=50 MPa, so this value can be used to carry out this experiment, such as Figure 6 As shown, the standard curve is simplified to: y = k·x + c′, where c′ =b·50 + c is a constant term, which is suitable for rapid detection scenarios; at the same time, a complete function form can be established through multi-pressure experiments to achieve more accurate quantitative analysis; in addition, as Figure 8 As shown, it can be proved that the performance of Raman spectra under various pressure compression is different. Therefore, it is necessary to introduce pressure variables for simulation in the method of the present invention.

[0029] Example 2: The prediction model adopts support vector regression or random forest model, and the model training method is the same as the model training method in the prior art.

[0030] Comparative Example 1: The difference from Example 1 is that the mixed powder was not ground and screened, and the particle size range of the mixed powder was not controlled, resulting in a large fluctuation range; Comparative Example 2: The difference from Example 1 is that the mixed powder is not tableted or the tableting pressure is different; Comparative Example 3: The difference from Example 1 is that the tableting pressure parameter P is not introduced, and only the characteristic peak area ratio is used to construct a univariate linear standard curve for mass fraction prediction; like Figure 4 As shown in Table 2, in Comparative Example 2, the peak areas and ratios of the samples of the same mass fraction obtained after tableting at different pressures are unstable. Figure 3 As shown in the figure, the standard curve established without the introduction of pressure parameters and with the samples not screened is poorly fitted, with a fitting degree R 2 Generally lower than 0.90; however, after adopting the particle size control and dry mixing process of Examples 1 and 2 of the present invention, the standard curve R 2 It can be stably increased to above 0.98, significantly improving quantitative accuracy and model reliability. In addition, by adding the pressure parameter in the linear regression model, the model's adaptability to changes in the physical state of the sample can be significantly improved, reducing the impact of spectral response fluctuations caused by different tableting pressures on the prediction results, thereby improving the accuracy, stability and reproducibility of quantitative analysis.

[0031] Table 2 Test results under different pressures

[0032] In summary, the present invention can perform highly selective structural identification. In the analysis of isomers that are difficult to distinguish by mass spectrometry, Raman spectroscopy, based on the high selectivity of molecular vibration information, can provide unique structural fingerprint peaks and achieve accurate molecular identification. It can also perform non-destructive and rapid in situ detection. Compared with traditional detection methods, Raman spectroscopy can directly analyze samples without complex pre-treatment steps, thus achieving ultra-fast, non-destructive in situ detection. A single wavelength laser can be used to excite the Raman spectral characteristic peaks of different components, thereby achieving real-time co-detection of multiple components. In terms of quantitative analysis of mixtures, Raman spectroscopy shows high sensitivity, and its characteristic peak intensity shows a good linear relationship with mass fraction (R 2 >0.98), ensuring the accuracy and reliability of quantitative analysis; it can also improve the quantitative accuracy of solid powders, standardize the sample preparation process to ensure the consistency of particle size and tableting uniformity, and improve peak shape stability. The experimental results show that R 2 Significantly improved from <0.9 to >0.98.

Claims

1. An ultra-fast and non-destructive detection method for solid cis-trans butenedioic acid, characterized in that: The following steps are involved: A mixed powder of cis-isomer and trans-isomer of butenedioic acid is obtained, wherein the particle size of the mixed powder ranges from 75 to 150 μm; The mixed powder is ultrasonically mixed and tableted in sequence to obtain a pretreated powder, and the characteristic peak area ratio of the cis isomer to the trans isomer of butenedioic acid in the pretreated powder is obtained based on Raman spectroscopy; Based on the prediction model, the mass ratio of the cis isomer to the trans isomer of butenedioic acid in the pretreated powder is measured; wherein the input of the prediction model is the characteristic peak area ratio of the cis isomer to the trans isomer of butenedioic acid and the pressure during tableting, and the output is the mass ratio of the cis isomer to the trans isomer of butenedioic acid.

2. The ultra-fast and non-destructive detection method for solid cis-trans butenedioic acid according to claim 1, wherein: The mixed powder is obtained by sieving through a mechanical vibration sieving method.

3. The ultra-fast and non-destructive detection method for solid cis-trans butenedioic acid according to claim 1, wherein: The method for ultrasonically mixing the mixed powder is as follows: placing the mixed powder in a sealed inert container, using an ultrasonic oscillation device for dry mixing, the ultrasonic oscillation frequency is 20-40 kHz, the time is 5-15 minutes, and the ultrasonic mixing is completed.

4. The ultra-fast and non-destructive detection method for solid cis-trans butenedioic acid according to claim 1, characterized in that: The tableting method comprises: transferring the mixed powder after ultrasonic mixing to a press device for tableting, wherein the tableting thickness is 1 mm, the tableting area in the press device is fixed, and the mass of the mixed powder added to the press device each time is the same.

5. The ultra-fast and non-destructive detection method for solid cis-trans butenedioic acid according to claim 1, characterized in that: The method for obtaining the characteristic peak area ratio of the cis isomer to the trans isomer of butenedioic acid in the pretreated powder based on Raman spectroscopy technology includes: respectively obtaining the standard Raman spectra of the cis isomer and the trans isomer of butenedioic acid; Obtaining characteristic peaks of the Raman spectrum of the cis isomer and the Raman spectrum of the trans isomer of butenedioic acid according to the standard Raman spectrum of the cis isomer and the standard Raman spectrum of the trans isomer of butenedioic acid; Based on the Raman spectrum characteristic peaks of the cis isomer and the trans isomer of butenedioic acid, the characteristic peak area ratio of the cis isomer to the trans isomer of butenedioic acid is obtained by using a Gaussian fitting method.

6. The ultra-fast and non-destructive detection method for solid cis-trans butenedioic acid according to claim 1, characterized in that: The prediction model adopts a linear regression model, and the expression of the linear regression model is: y = a·x+ b·P+c (1); Wherein, a, b, and c are fitting coefficients, P is the pressure during tableting, x is the mass ratio of the cis isomer to the trans isomer of butenedioic acid, and y is the characteristic peak area ratio of the cis isomer to the trans isomer of butenedioic acid.

7. An ultra-fast and non-destructive detection method for solid cis-trans butenedioic acid according to claim 1 or 6, characterized in that: The training method of the prediction model includes: Obtain characteristic peak area ratios of the cis-isomer and the trans-isomer of butenedioic acid at various mixing ratios and various tableting pressures, and obtain a pressure-characteristic peak area ratio data set; The pressure and characteristic peak area ratio data set is used as input and various mixing ratios are used as output. Model simulation training and verification are performed to obtain the trained prediction model.

8. The ultra-fast and non-destructive detection method for solid cis-trans butenedioic acid according to claim 1, characterized in that: The prediction model adopts a support vector regression model or a random forest model.

9. The ultra-fast and non-destructive detection method for solid cis-trans butenedioic acid according to claim 1, characterized in that: The pressure range during tableting is 10-100 MPa.

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