Method for measuring content of water-insoluble solids in nanocrystallization lycopene liquid beverage

Abstract

The invention discloses a method for measuring the content of water-insoluble solids in a nanocrystallized lycopene liquid beverage, which comprises the following steps: acquiring spectral data of a sample by an infrared spectrometer, extracting spectral characteristics and constructing a spectral matrix; calculating a water-insoluble solid content value to form a numerical matrix; removing spectral noise by using a Savitzky-Golay convolution smoothing method, and calculating a second derivative spectrum; main characteristic components are extracted through a partial least square method, and a mathematical relationship model between spectral characteristics and the water-insoluble solid content is established; and finally, inputting sample spectrum data into the model, and predicting the content of water-insoluble solids. According to the method, the mathematical relationship model is established by combining the infrared spectrum technology with the partial least square method, so that the rapid and nondestructive detection of the water-insoluble solid content in the nanocrystallization lycopene liquid beverage is realized.

Description

Technical Field

[0001] The present invention relates to the field of liquid beverage measurement, and in particular to a method for determining the content of water-insoluble solids in nano-lycopene liquid beverages. Background Art

[0002] Compared with ordinary lycopene products, nano-sized lycopene liquid beverages have smaller particle sizes and are more easily absorbed by the small intestine. They can significantly improve bioavailability, more effectively exert antioxidant effects, help eliminate free radicals in the body, prevent cardiovascular diseases, enhance immunity, etc. The stability of the water-insoluble solids content in different batches is closely related to the quality stability of liquid beverages. However, the content of water-insoluble solids is easily affected by various factors such as raw materials and processing. The level of water-insoluble solids has always been the focus and difficulty of liquid beverage quality control. Therefore, it is necessary to determine the content of water-insoluble solids in nano-sized lycopene liquid beverages. At present, the measurement of water-insoluble solids content in liquid beverages mainly relies on the weighing method after filtration, which requires sample pretreatment, large instruments and long detection cycles.

[0003] Nano-enhanced lycopene liquid beverages are a novel beverage that utilizes nanotechnology to enhance lycopene absorption. However, due to its fat-soluble nature, its solubility in water-based beverages is low, posing a challenge for product development. Therefore, accurately measuring the water-insoluble solids content of these liquid beverages is crucial for ensuring product quality and stability, as well as assessing their nutritional value.

[0004] Existing methods for determining water-insoluble solids include: weighing after drying (national standard), titration, chromatography, etc. Among these determination methods, the drying method is time-consuming (at least 4 hours); the chromatography method not only requires complex sample pretreatment, but also requires precise instrumentation and complex operation; and the titration method, while simple to operate, cannot achieve online detection in the assembly line. None of the above three existing detection methods can achieve online detection in the factory assembly line. Therefore, the use of near-infrared and mid-infrared methods is urgently needed to achieve online, rapid, and non-destructive detection of water-insoluble solids in nano-lycopene liquid beverages, accelerate product testing in the production line, and achieve automated and intelligent development. Summary of the Invention

[0005] To address the above issues, the present invention proposes a method for determining the water-insoluble solids content in nano-enriched lycopene liquid beverages. By combining infrared spectroscopy with the partial least squares method to establish a mathematical relationship model, the present invention achieves rapid and non-destructive detection of the water-insoluble solids content in nano-enriched lycopene liquid beverages.

[0006] The specific plan is as follows:

[0007] The method for determining the water-insoluble solids content in a nano-lycopene liquid beverage includes:

[0008] S1, collecting spectral data of a nano-lycopene liquid beverage sample through an infrared spectrometer, and constructing a corresponding spectral matrix based on the spectral data;

[0009] S2, determining the water-insoluble solid content in the nano-lycopene liquid beverage sample to obtain a numerical matrix of the water-insoluble solid content;

[0010] S3, remove the noise in the spectral matrix by Savitzky-Golay convolution smoothing method, and calculate the second-order derivative spectrum of the spectral matrix after noise removal;

[0011] S4, extracting the main characteristic components of the numerical matrix of the second-order derivative spectrum and the water-insoluble solids content by partial least squares method, and establishing a mathematical relationship model between the spectral characteristics and the water-insoluble solids content based on the main characteristic components;

[0012] S5, inputting the spectral data of the nano-encapsulated lycopene liquid beverage to be measured into a mathematical relationship model, and predicting the water-insoluble solid content value of the nano-encapsulated lycopene liquid beverage to be measured by the mathematical relationship model.

[0013] Furthermore, in S1, when collecting the spectral data of the nano-lycopene liquid beverage sample by infrared spectrometer, the scanning times of the infrared spectrometer are set to 4 to 256 times; the resolution of the infrared spectrometer is set to 4 cm -1 -64cm -1 , the wavelength range of the infrared spectrometer is set to 1000nm-2500nm.

[0014] Furthermore, in S1, when collecting spectral data of the nano-lycopene liquid beverage sample by infrared spectrometer, the scanning times of the infrared spectrometer are set to 2 to 256 times; the resolution of the infrared spectrometer is set to 1 cm -1 -64cm -1 , the wavelength range of the infrared spectrometer is set to 2500nm-25000nm.

[0015] Furthermore, in S1, the infrared spectrometer collects data in the following ways: transmission, diffuse reflection, or diffuse transflection.

[0016] Furthermore, in S3, the noise in the spectral matrix is removed by the Savitzky-Golay convolution smoothing method, and the calculation formula is as follows:

[0017]

[0018] Among them, X1 represents the spectrum matrix after removing noise, h iis the smoothing coefficient; H is the normalization factor; K represents the central wavelength point in the smoothing window; W represents the smoothing window size; X K,smooth Represents the data matrix after Savitzky-Golay convolution smoothing; represents the smoothed average value of wavelength K; i represents the order of the current window.

[0019] Furthermore, in S3, the second-order derivative spectrum of the spectral matrix after noise removal is calculated, and the calculation formula is as follows:

[0020]

[0021] Where, X2 represents the second-order derivative spectrum; g represents the differential width; X K,2nd Indicates the value after the second-order derivative at wavelength K; X1 K Indicates the spectrum value at wavelength K; X1 K-g Indicates the spectrum value at wavelength Kg.

[0022] Furthermore, in S4, a mathematical relationship model between the spectral characteristics and the water-insoluble solids content is established based on the main characteristic components, specifically including:

[0023] The numerical matrix of the second-order derivative spectrum and water-insoluble solids content is decomposed as follows:

[0024]

[0025] Among them, t k is the score of the kth principal factor of the second-order derivative spectrum X2; p k is the load of the kth principal factor of the second-order derivative spectrum X2; u k is the score of the kth principal factor of water-insoluble solids content Y; q k is the load of the kth principal factor of the water-insoluble solid content matrix Y; f is the number of principal factors; T is the score matrix of the second-order derivative spectrum X2; U is the score matrix of the water-insoluble solid content Y; P is the load matrix of the second-order derivative spectrum X2; Q is the load matrix of the water-insoluble solid content Y;

[0026] Perform linear regression on the score matrix T and the score matrix U. The calculation formula is as follows:

[0027] U = TB;

[0028] Where B is the coefficient between T and U;

[0029] The numerical matrix Y of water-insoluble solids content is calculated based on U, and the formula is as follows:

[0030] Y=UQ T =TBQ T .

[0031] Furthermore, the S5 specifically includes:

[0032] Receive the spectrum matrix X of the nano-lycopene liquid beverage to be measured 未知 ; by X 未知 =T 未知 P T Spectral matrix

[0033] X 未知 Decompose and obtain the score T of the nano-lycopene liquid beverage to be measured 未知 ; Substitute into the mathematical expression Y =

[0034] TBQ T , obtain the numerical matrix of the water-insoluble solid content of lycopene in the nano-sized lycopene liquid beverage to be measured:

[0035] Y 未知 =T 未知 BQ T

[0036] The present invention adopts the above technical solution and has the following beneficial effects:

[0037] (1) The present invention uses infrared spectroscopy to rapidly collect spectral data of samples, and utilizes the Savitzky-Golay convolution smoothing method (moving window least squares polynomial smoothing) and partial least squares method to remove noise and extract the main characteristic components, thereby establishing an accurate mathematical relationship model, thereby achieving efficient and accurate determination of the water-insoluble solids content in nano-lycopene liquid beverages.

[0038] (2) The present invention uses a non-invasive infrared spectroscopy analysis method, which can directly obtain the spectral information and perform analysis on the sample without complicated pre-treatment, thereby protecting the integrity of the sample, simplifying the operation process, and improving the convenience of detection.

[0039] (3) The mathematical relationship model established in the present invention can quickly and accurately evaluate the quality of the nano-lycopene liquid beverage, providing a scientific basis for product quality monitoring and helping to improve the consistency and stability of the product. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 This is a flow chart of a method for determining the water-insoluble solids content in a nano-lycopene liquid beverage according to an embodiment of the present invention;

[0041] Figure 2 This is a spectrum of a nano-sized lycopene liquid beverage in the wavelength range of 1000nm-2500nm according to an embodiment of the present invention;

[0042] Figure 3 This is a spectrum diagram of a nano-lycopene liquid beverage in the wavelength range of 2500nm-25000nm according to an embodiment of the present invention. DETAILED DESCRIPTION

[0043] The present invention will be described in further detail below with reference to the examples and accompanying drawings, but the embodiments of the present invention are not limited thereto. Figure 1 As shown, the method for determining the water-insoluble solid content in the nano-lycopene liquid beverage of the present invention comprises:

[0044] S1, collecting spectral data of the nano-lycopene liquid beverage sample through an infrared spectrometer, and constructing a corresponding spectral matrix based on the spectral data.

[0045] Specifically, in the process of collecting the spectrum data of the nano-lycopene liquid beverage by infrared spectrometer, the scanning times of the infrared spectrometer are set to 4 to 256 times; the resolution of the infrared spectrometer is set to 4 cm -1 -64cm -1 , the wavelength range of the infrared spectrometer is set to 1000nm-2500nm.

[0046] Specifically, in the process of collecting the spectrum data of the nano-lycopene liquid beverage by infrared spectrometer, the scanning times of the infrared spectrometer are set to 2 to 256 times; the resolution of the infrared spectrometer is set to 1 cm -1 -64cm -1 , the wavelength range of the infrared spectrometer is set to 2500nm-25000nm.

[0047] Specifically, the infrared spectrometer can collect data in the following ways: transmission, diffuse reflection or diffuse transflection.

[0048] S2, determining the water-insoluble solid content in the nano-lycopene liquid beverage sample to obtain a numerical matrix of the water-insoluble solid content.

[0049] Specifically, the water-insoluble solids content of nano-lycopene liquid beverages was determined according to the National Standard of the People's Republic of China (GB12296-90). The sample was thoroughly shaken before weighing. A sample (m0) was weighed and placed in a beaker. A 9cm filter paper and half a 7cm filter paper were placed in each weighing dish. The sample was placed in an electric drying oven at 103±2°C for 1 hour. The dish was then transferred to a desiccator and cooled for 30 minutes. The sample was weighed to the nearest 0.001g, with the mass being m1. 100mL of distilled water was added to the sample beaker, stirred evenly with a glass rod, and heated to boiling on a hot plate. The weighed filter paper was spread flat in a Büchner funnel. 50mL of hot distilled water was added to the funnel to fully soak the filter paper, pressing it against the filter plate. The boiled sample was randomly poured into the funnel and slowly filtered under reduced pressure. All residue on the beaker walls was washed into the funnel with hot water. The residue was washed five times, using 30mL of hot water each time. After drying, move the filter paper and residue into the original weighing dish, wipe the residue left on the funnel with the weighed half filter paper, put it into the weighing dish, and dry it in an electric drying oven at 103±2℃ for 4 hours. Cool it in the dryer for 30 minutes, weigh it to the nearest 0.001g, and dry it for another hour. Cool it and weigh it again until the difference between the two masses is less than 0.001g. Weigh the mass m2; calculate the water-insoluble solids content in the sample using the calculation formula: Where: m0 is the mass of the sample; m1 is the mass of the filter paper and weighing dish; m2 is the mass of the drying residue, filter paper and weighing dish.

[0050] S3, remove the noise in the spectral matrix by Savitzky-Golay convolution smoothing method, and calculate the second-order derivative spectrum of the spectral matrix after noise removal.

[0051] Specifically, the noise in the spectrum matrix is removed by the Savitzky-Golay convolution smoothing method, and the calculation formula is as follows:

[0052]

[0053] Among them, X1 represents the spectrum matrix after removing noise, h i is the smoothing coefficient; H is the normalization factor; K represents the central wavelength point in the smoothing window; W represents the smoothing window size; X K,smooth Represents the data matrix after Savitzky-Golay convolution smoothing; represents the smoothed average value of wavelength K; i represents the order of the current window.

[0054] Specifically, the second-order derivative spectrum of the spectral matrix after noise removal is calculated using the following formula:

[0055]

[0056] Where, X2 represents the second-order derivative spectrum; g represents the differential width; X K,2nd Indicates the value after the second-order derivative at wavelength K; X1 K Indicates the spectrum value at wavelength K; X1 K-g Indicates the spectrum value at wavelength Kg.

[0057] S4, the main characteristic components of the numerical matrix of the second-order derivative spectrum and water-insoluble solids content were extracted by partial least squares method, and a mathematical relationship model between the spectral characteristics and the water-insoluble solids content was established based on the main characteristic components.

[0058] Specifically, a mathematical relationship model between spectral characteristics and water-insoluble solids content is established based on the main characteristic components, including:

[0059] The numerical matrix of the second-order derivative spectrum and water-insoluble solids content is decomposed as follows:

[0060]

[0061] Among them, t k is the score of the kth principal factor of the second-order derivative spectrum X2; p k is the load of the kth principal factor of the second-order derivative spectrum X2; u k is the score of the kth principal factor of water-insoluble solids content Y; q k is the load of the kth principal factor of the water-insoluble solid content matrix Y; f is the number of principal factors; T is the score matrix of the second-order derivative spectrum X2; U is the score matrix of the water-insoluble solid content Y; P is the load matrix of the second-order derivative spectrum X2; Q is the load matrix of the water-insoluble solid content Y;

[0062] Perform linear regression on the score matrix T and the score matrix U. The calculation formula is as follows:

[0063] U = TB;

[0064] Where B is the coefficient between T and U;

[0065] The numerical matrix Y of water-insoluble solids content is calculated based on U, and the formula is as follows:

[0066] Y=UQ T =TBQ T .

[0067] It should be noted that, in this embodiment, the original numerical matrix of the second-order derivative spectrum and the water-insoluble solids content is decomposed into the following formula:

[0068]

[0069]

[0070] But the error matrix E Y and E X2 This is mainly due to the instrument noise during the measurement process. Y and E X2 Ignoring it will not cause obvious loss of information in the data, but will also have the effect of clearing noise. Therefore, the above formula is simplified to obtain the existing decomposition formula.

[0071] S5, inputting the spectral data of the nano-sized lycopene liquid beverage to be measured into a mathematical relationship model, and calculating and predicting the water-insoluble solid content value of the nano-sized lycopene liquid beverage to be measured through the mathematical relationship model.

[0072] Specifically, the spectrum matrix X of the unknown nano-liquid beverage is received 未知 ; by X 未知 =T 未知 P T For the spectral matrix X 未知 Decompose and get the score T of the unknown nano-liquid beverage 未知 ; Substitute into the mathematical expression Y = TBQ T , obtain the numerical matrix of the water-insoluble solid content of lycopene in the unknown nano-liquid beverage: Y 未知 =T 未知 BQ T .

[0073] Specifically, in this embodiment, the expression between the numerical matrix Y of the water-insoluble solid content and the second-order derivative spectrum matrix X2 can be written as: Y = b PLS X2: The water-insoluble solids content in the unknown nano-lycopene liquid beverage can be calculated by the following detailed steps:

[0074] (1) Find the weight vector w of the spectral matrix X2

[0075] Take a column of the water-insoluble solids content matrix Y as the starting iteration value of U, replace T with U, and calculate w

[0076] The equation is X2=Uw T ; Its solution is w T =U T X2 / (U T U)

[0077] (2) Normalize the weight vector w

[0078] w T =w T / ‖w T ‖

[0079] (3) Find the factor score T of the spectral matrix X2, and calculate T from the normalized w

[0080] The equation is X2 = Tw T ; Its solution is T=X2w / (w T w)

[0081] (4) Calculate the load Q value of the water-insoluble solid content matrix Y and use T instead of U to calculate Q

[0082] The equation is Y = TQ T ; Its solution is Q T =T T Y / (T T T)

[0083] (5) Normalize the load Q

[0084] Q T =Q T / ‖Q T ‖

[0085] (6) Calculate the factor score U of the water-insoluble solid content matrix Y, from Q T Calculate U

[0086] The equation is Y = UQ T ; Its solution is U=YQ / (Q T Q)

[0087] (7) Replace T with this U and return to step (1) to calculate w T , by w T Calculate t 新 , repeat the iteration, if t has converged (||t 新 -t 旧 ||≤10 -6 ||t 新 ||), go to (8), calculate, otherwise return to step (1).

[0088] (8) Find the load vector P of the spectral matrix X2 from the converged T

[0089] The equation is X2=TP T ; Its solution is P T =T T Y / (T T T)

[0090] (9) Normalize the load P

[0091] P T =P / ‖P T ‖;

[0092] (10) Standardized X2 factor score T

[0093] T = T / ‖P‖;

[0094] (11) Normalized weight vector w

[0095] w=w / ‖P‖;

[0096] (12) Calculate the intrinsic relationship B between T and U

[0097] B=U T T / (T T T);

[0098] (13) Obtain b PLS :

[0099] b PLS =w T (Pw T ) -1 Q;

[0100] (14) For unknown sample X un , Y un =b PLS X un , bring in b PLS =w T (Pw T ) -1 Q, find Y un =w T (Pw T ) -1 QX un .

[0101] Specifically, the present invention corrects the coefficient of determination (R 2 _Cal), prediction coefficient of determination (R 2 _Pre), root mean square error of cross validation (RMSECV) and root mean square error of prediction (RMSEP) to evaluate the accuracy of the established mathematical relationship model:

[0102] The calculation formulas for R2_Cal and R2_Pre are as follows:

[0103]

[0104] The RMSECV calculation formula is as follows:

[0105]

[0106] The RMSEP calculation formula is as follows:

[0107]

[0108] Where y i,actualis the measured value of the water-insoluble solids content in the ith nano-lycopene liquid beverage, and is the average value of the measured values of the calibration set or validation set samples by this method; i,predicted is the predicted value of the i-th sample in the prediction process of this method, n is the number of spectra of the calibration set samples, and m is the number of spectra of the validation set samples.

[0109] Usually, R 2 _Cal and R 2 The closer _Pre is to 1, the better; the closer RMSECV and RMSEP are to 0, the better.

[0110] like Figure 2 The figure shows the spectrum of the nano-sized lycopene liquid beverage in the wavelength range of 1000nm-2500nm in the embodiment of the present invention. The equipment used is Master10-S Fourier transform near-infrared spectrometer, the sample spectrum is tested using the diffuse transmission method, the number of scans is 32, and the instrument resolution is 16cm -1 A total of 50 batches of nano-sized lycopene liquid beverages were modeled, and the Unscrambler partial least squares module was used to establish a relationship between the spectral data and the corresponding reference method measured data. The model was established using the calibration set and the validation set, and the R 2 _Cal, R 2 The four indicators of _Pre, RMSECV and RMSEP are used to evaluate the model, and the results are shown in Table 1. 2 _Cal and R 2 _Pre is close to 1, while RMSECV and RMSEP are close to 0, indicating that the constructed model has good prediction effect and high prediction accuracy.

[0111] Table 1 Results of the spectral index evaluation model for wavelength range 1000nm-2500nm

[0112]

[0113] like Figure 3 The figure shows the spectrum of the nano-sized lycopene liquid beverage in the wavelength range of 2500nm-25000nm in the embodiment of the present invention. The equipment used is FOLI10 Fourier transform mid-infrared spectrometer, and the spectrum accessory is attenuated total reflectance accessory. The instrument resolution is 4cm -1 The number of scans was 32. At this time, the data were processed using standard normal variable transformation, and the partial least squares module of The Unscrambler was used to establish a relationship between the spectral data (after preprocessing) and the corresponding reference method data. The model was established using the calibration set and the validation set, and the R 2 _Cal, R 2The four indicators of _Pre, RMSECV and RMSEP are used to evaluate the model, and the results are shown in Table 2. 2 _Cal and R 2 _Pre is close to 1, while RMSECV and RMSEP are close to 0, indicating that when the spectrum is processed by the preprocessing method, the calibration set model has good prediction effect and high prediction accuracy.

[0114] Table 2 Evaluation results of spectrum indicators in the wavelength range of 2500nm-25000nm

[0115]

[0116] In summary, the present invention provides a novel method for rapidly determining the water-insoluble solids content in a nano-sized lycopene liquid beverage, which is used for quality control of the nano-sized lycopene liquid beverage. The nano-sized lycopene liquid beverage is sampled, stored, and subjected to near / mid-infrared spectral acquisition. The water-insoluble solids content in the nano-sized lycopene liquid beverage is determined using a method that is intended to become an industry standard. The relationship between the water-insoluble solids content and infrared spectral data is established using the partial least squares method and used as a calibration set model. Samples not involved in the modeling are used to predict the value of an indicator. The R 2 _Cal, R 2 The four indicators of _Pre, RMSECV and RMSEP were used to verify the quality of the model. This showed that infrared spectroscopy has a good ability to predict the water-insoluble solids content in nano-lycopene liquid beverages, thus enabling the rapid, accurate and in-situ determination of the water-insoluble solids content in nano-lycopene liquid beverages.

[0117] Although the present invention has been particularly shown and described in conjunction with preferred embodiments, it will be understood by those skilled in the art that various changes in form and details may be made to the present invention without departing from the spirit and scope of the invention as defined in the appended claims, and all such changes are within the scope of protection of the present invention.

Claims

1. A method for determining the water-insoluble solids content in a nano-lycopene liquid beverage, characterized in that: include: S1, collecting spectral data of a nano-lycopene liquid beverage sample through an infrared spectrometer, and constructing a corresponding spectral matrix based on the spectral data; S2, determining the water-insoluble solid content in the nano-lycopene liquid beverage sample to obtain a numerical matrix of the water-insoluble solid content; S3, remove the noise in the spectral matrix by Savitzky-Golay convolution smoothing method, and calculate the second-order derivative spectrum of the spectral matrix after noise removal; S4, extracting the main characteristic components of the numerical matrix of the second-order derivative spectrum and the water-insoluble solids content by partial least squares method, and establishing a mathematical relationship model between the spectral characteristics and the water-insoluble solids content based on the main characteristic components; S5, inputting the spectral data of the nano-encapsulated lycopene liquid beverage to be measured into a mathematical relationship model, and predicting the water-insoluble solid content value of the nano-encapsulated lycopene liquid beverage to be measured by the mathematical relationship model.

2. The method for determining the water-insoluble solids content in a nano-lycopene liquid beverage according to claim 1, characterized in that: In S1, when collecting spectral data of the nano-lycopene liquid beverage sample by infrared spectrometer, the scanning times of infrared spectrometer were set to 4 to 256 times; the resolution of infrared spectrometer was set to 4 cm -1 -64cm -1 , the wavelength range of the infrared spectrometer is set to 1000nm-2500nm.

3. The method for determining the water-insoluble solids content in a nano-lycopene liquid beverage according to claim 1, characterized in that: In S1, when collecting spectral data of the nano-lycopene liquid beverage sample by infrared spectrometer, the scanning times of infrared spectrometer were set to 2 to 256 times; the resolution of infrared spectrometer was set to 1 cm -1 -64cm -1 , the wavelength range of the infrared spectrometer is set to 2500nm-25000nm.

4. The method for determining the water-insoluble solids content in a nano-lycopene liquid beverage according to claim 1, characterized in that: In S1, the infrared spectrometer collects data in the following ways: transmission, diffuse reflection, or diffuse transflection.

5. The method for determining the water-insoluble solids content in a nano-lycopene liquid beverage according to claim 1, characterized in that: In S3, the noise in the spectral matrix is removed by the Savitzky-Golay convolution smoothing method, and the calculation formula is as follows: Among them, X1 represents the spectrum matrix after removing noise, h i is the smoothing coefficient; H is the normalization factor; K represents the central wavelength point in the smoothing window; W represents the smoothing window size; X K,smooth Represents the data matrix after Savitzky-Golay convolution smoothing; represents the smoothed average value of wavelength K; i represents the order of the current window.

6. The method for determining the water-insoluble solids content in a nano-lycopene liquid beverage according to claim 1, characterized in that: In S3, the second-order derivative spectrum of the spectral matrix after noise removal is calculated. The calculation formula is as follows: Where, X2 represents the second-order derivative spectrum; g represents the differential width; X K,2nd Indicates the value after the second-order derivative at wavelength K; X1 K Indicates the spectrum value at wavelength K; X1 K-g Indicates the spectrum value at wavelength Kg.

7. The method for determining the water-insoluble solids content in a nano-lycopene liquid beverage according to claim 1, characterized in that: In S4, a mathematical relationship model between spectral characteristics and water-insoluble solids content is established based on the main characteristic components, specifically including: The numerical matrix of the second-order derivative spectrum and water-insoluble solids content is decomposed as follows: Among them, t k is the score of the kth principal factor of the second-order derivative spectrum X2; p k is the load of the kth principal factor of the second-order derivative spectrum X2; u k is the score of the kth principal factor of water-insoluble solids content Y; q k is the load of the kth principal factor of the water-insoluble solid content matrix Y; f is the number of principal factors; T is the score matrix of the second-order derivative spectrum X2; U is the score matrix of the water-insoluble solid content Y; P is the load matrix of the second-order derivative spectrum X2; Q is the load matrix of the water-insoluble solid content Y; Perform linear regression on the score matrix T and the score matrix U. The calculation formula is as follows: U = TB; Where B is the coefficient between T and U; The numerical matrix Y of water-insoluble solids content is calculated based on U, and the formula is as follows: Y=UQ T =TBQ T 。 8. The method for determining the water-insoluble solids content in a nano-lycopene liquid beverage according to claim 7, characterized in that: Said S5 specifically includes: Receive the spectrum matrix X of the nano-lycopene liquid beverage to be measured 未知 ; by X 未知 =T 未知 P T For the spectral matrix X 未知 Decompose and obtain the score T of the nano-lycopene liquid beverage to be measured 未知 ; Substitute into the mathematical expression Y = TBQ T , obtain the numerical matrix of the water-insoluble solid content of lycopene in the nano-sized lycopene liquid beverage to be measured: Y 未知 =T 未知 BQ T .

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