A dynamic adjustment method for detection range and a detection method for feed ingredients

Abstract

The present invention discloses a method for dynamically adjusting a detection range and a method for detecting feed ingredients, and belongs to the field of automated detection technology. The method for dynamically adjusting the detection range divides a sample to be tested into a first component and a second component, wherein the first component enters a spectral channel and the second component enters a first mass spectrum channel. Spectral data is obtained from the first component, and mass spectrum data is obtained from the second component. The ion mass of the sample to be tested is predicted based on the spectral data, an effective mass-to-charge ratio interval is generated, and the maximum flight time of the ions is determined, and the sampling duration is adjusted accordingly. The present invention predicts the mass-to-charge ratio interval of the sample components based on spectral technology, and the mass-to-charge ratio interval reflects the interval where the main components of the current feed powder are located. The detection range is dynamically adjusted based on the mass-to-charge ratio interval to ensure that the main components are accurately measured, while shortening the sampling interval as much as possible to improve the accuracy of continuous detection.

Description

Technical Field

[0001] The present invention relates to the field of automated detection technology, and in particular to a method for dynamically adjusting a detection range and a method for detecting feed ingredients. Background Art

[0002] Mass spectrometry detection technology can continuously detect low concentrations of harmful components and is suitable for large-scale continuous production fields such as feed. Mass spectrometry detection technology first ionizes sample ions and then measures the migration time of the ions to determine the composition of the sample ions. Mass spectrometry detection technology has high technical requirements and is easily interfered by the outside world. In order to further improve the detection stability, the prior art also discloses a combined detection method, such as a spectrum-mass spectrometry device and detection method disclosed in Chinese patent application publication number CN112816436A. In this detection method, a multi-component mixed gas is subjected to spectral analysis by a spectral analysis module to obtain a concentration data in the sample, and then a mass spectrometry analysis is performed on the multi-component mixed gas sample output from the spectral analysis module by a mass spectrometry analysis module to obtain another concentration data in the sample. The sample composition is determined by combining the two concentration data.

[0003] A wider sampling range can obtain more complete sample composition data. Chinese patent application publication number CN105609401A discloses a method and system for improving the dynamic detection range of a time-of-flight mass spectrometer. The ion detector of the method is input into a power divider in the form of an electrical signal, and the power divider divides the input signal and outputs it to a high-speed data acquisition card for acquisition. This method can effectively improve the dynamic detection range of the instrument by segmenting the signal, meeting the needs of the instrument to simultaneously detect some components with contents spanning more than 5 orders of magnitude. The uniformity of feed ingredients is poor, and different batches may introduce different impurity components. In addition to the concentration range, a wider sampling range also includes detecting impurity components with larger or smaller ion mass-to-charge ratios. The ion mass-to-charge ratio range affects the ion migration time, thereby increasing the length of the sampling period. At the same time, a sampling period that is too long will reduce the detection accuracy. Therefore, the prior art needs to be further improved. Summary of the invention

[0004] In order to solve the defects of the above-mentioned detection technology, the present invention proposes a method for dynamically adjusting the detection range and a method for detecting feed ingredients. The present invention predicts the mass-to-charge ratio range of the sample components based on the spectrum, dynamically adjusts the sampling period of the mass spectrometer according to the mass-to-charge ratio range, realizes dynamic adjustment of the detection range, and ensures the accuracy of continuous detection.

[0005] The technical solution of the present invention is achieved in this way:

[0006] A method for dynamically adjusting a detection range comprises the following steps:

[0007] Step 1: At each sampling time interval T, the sample to be tested is divided into a first component and a second component according to a sample segmentation ratio A, the first component enters a spectral channel, and the second component enters a first mass spectrometry channel, and the sample to be tested comprises a matrix and at least one component to be tested;

[0008] Step 2: The light source emits infrared light of at least two wavelengths, and the beam splitter splits the infrared light into two coherent light beams. The two coherent light beams return to the beam splitter through a moving reflector and a static reflector respectively to generate interference light;

[0009] Step 3: After the interference light irradiates the first component, the transmission light is generated, and the detection device receives the transmission light and generates interference data, and the spectrum data is obtained according to N sets of interference data;

[0010] Step 4: ionizing sample ions from the second component, the sample ions enter the second mass spectrometry channel, modulating the sample ions into an ion beam, and driving the ion beam into the third mass spectrometry channel;

[0011] Step 5: The pulse voltage of the third mass spectrometer channel repels the ion beam, and the matrix ions and the component ions to be measured in the ion beam pass through the migration device and collide with the collection device respectively, and mass spectrum data are generated according to the collection time of the matrix ions and the component ions to be measured;

[0012] Step 6: Predict at least two ion masses of the sample to be tested based on the spectral data, regenerate the current mass-to-charge ratio interval, generate an effective mass-to-charge ratio interval based on the current mass-to-charge ratio interval and the historical mass-to-charge ratio interval, determine the maximum flight time of the ion based on the effective mass-to-charge ratio interval, and then adjust the sampling time T;

[0013] Step 7: Determine the total absorbance of the first component based on the spectral data, determine the total signal intensity of the second component based on the mass spectrum data, adjust the sample split ratio A, and return to step 1.

[0014] In the present invention, in step 2, the light source is a broadband light source, and the infrared light wavelength is 1450 nm to 2300 nm.

[0015] In the present invention, in step 3, the optical path difference between the two coherent light beams is adjusted by moving the movable reflector to N reflection positions in sequence, the interference data is the interference light intensity of the two coherent light beams, and the N interference light intensities are Fourier transformed to obtain spectral data.

[0016] In the present invention, in step 3, the interference light intensity corresponding to the reflection position n is I(n), and the spectral data , n≤N, k is the frequency, and i is the imaginary unit.

[0017] In the present invention, in step 6, the current mass-to-charge ratio interval is [z M , z´ M ], M is the sampling sequence number, and the historical mass-to-charge ratio interval is [zm , z´ m ], 1≤m≤M-1, the effective mass-to-charge ratio interval is [z, z´], and the minimum effective mass-to-charge ratio z=min(z M , z0), the maximum effective mass-to-charge ratio z´=max(z´ M , z´0), where , .

[0018] In the present invention, in step 6, the maximum flight time T1 is calculated according to the maximum effective mass-to-charge ratio, and the sampling time T=T1+T2+T3+T4+T5, T2 is the sample delivery time, T3 is the ionization time, T4 is the excitation time, and T5 is the minimum sleep time.

[0019] In the present invention, in step 7, the sample segmentation ratio A=(R0-NR´) / (σ0-Pσ´), R0 is the total absorbance, R´ is the reference absorbance of the detection device, σ0 is the total signal intensity, σ´ is the reference signal intensity of the acquisition device, and P is the number of ion peaks in the mass spectrometry data.

[0020] A method for detecting feed ingredients comprises the following steps:

[0021] Step 100: sucking feed particles from the conveyor belt and converting the feed particles into feed powder;

[0022] Step 200: Generate mass spectrum data according to the dynamic adjustment method of the detection range;

[0023] Step 300: extracting the acquisition time of the component ions to be measured in the mass spectrum data, calculating the mass-to-charge ratio of the component ions to be measured, extracting the signal intensity of the component ions to be measured in the mass spectrum data, and calculating the actual measured content of the component to be measured.

[0024] In the present invention, in step 200, the current humidity of the feed powder is measured, and at least one ionization parameter of the ionization device is calibrated according to the current humidity.

[0025] In the present invention, in step 300, the corresponding molar mass is calculated according to the mass-to-charge ratio of the ion of the component to be measured, and then the response ratio is determined according to the signal intensity of the component to be measured, and the actual measured content of the component to be measured is calculated according to the response ratio and the response function.

[0026] The implementation of the method for dynamically adjusting the detection range and the method for detecting feed ingredients of the present invention has the following beneficial effects: the present invention predicts the mass-to-charge ratio interval of the sample components based on spectral technology, and the mass-to-charge ratio interval reflects the interval where the main components of the current feed powder are located. The detection range is dynamically adjusted according to the mass-to-charge ratio interval to ensure that the main components are accurately measured, while shortening the sampling interval as much as possible to improve the accuracy of continuous detection. The present invention adjusts the ionization temperature of the ionization device according to the humidity of the feed powder, so that feeds with different production humidity can be effectively ionized. In order to avoid system response delays caused by excessively high ionization temperature, the present invention adjusts the electric field strength at high temperature. Furthermore, the spectral system of the present invention uses dynamic and static reflectors respectively to simultaneously collect near-infrared light of continuous bands, eliminates the grating intermittent structure, and realizes continuous detection without stopping. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 is a flow chart of a method for dynamically adjusting the detection range of the present invention;

[0028] Figure 2 A schematic diagram of a device for implementing a method for dynamically adjusting the detection range of the present invention;

[0029] Figure 3 It is a schematic diagram of a preferred structure of the spectral device of the present invention;

[0030] Figure 4 It is a schematic diagram of a preferred structure of the mass spectrometer of the present invention;

[0031] Figure 5 It is a spectrum diagram of the feed ingredient detection result of the present invention;

[0032] Figure 6 is a mass spectrum of the feed ingredient detection result of the present invention;

[0033] Figure 7 A schematic diagram of a pulse voltage within a sampling time period of the present invention;

[0034] Figure 8 Schematic diagram of the internal structure of the third mass spectrometer channel of the present invention;

[0035] Fig. 9 The present invention is a flow chart of the method for detecting feed ingredients.

[0036] In the attached drawing: 101 conveyor belt, 102 grinding device, 103 pre-inspection device, 104 sample delivery device, 201 first mass spectrometry channel, 202 second mass spectrometry channel, 203 third mass spectrometry channel, 204 collection device, 301 light source, 302 static reflector, 303 moving reflector, 304 beam splitter, 305 spectral channel, 306 sample chamber, 307 detection device. DETAILED DESCRIPTION

[0037] In order to more clearly understand the purpose, technical solutions and advantages of the present application, the present application is described and illustrated below in conjunction with the accompanying drawings and embodiments.

[0038] Mass spectrometry detection technology predicts the mass-to-charge ratio through the flight time of different components. If the set sampling time is less than the flight time of some impurity components, the impurity cannot be detected. In some usage environments, the interval where the components are located can be obtained in advance or the sampling time can be set as long as possible. The uniformity of feed ingredients is poor, and different batches may introduce different impurity components. In the continuous detection process, excessive sampling time is not conducive to improving the detection accuracy. The present invention predicts the mass-to-charge ratio interval of the sample components based on spectral technology, and the mass-to-charge ratio interval reflects the interval where the main components of the current feed powder are located. The detection range is dynamically adjusted according to the mass-to-charge ratio interval to ensure that the main components are accurately measured, while shortening the sampling interval as much as possible to improve the accuracy of continuous detection. Embodiment 1

[0039] like Figures 1 to 7 As shown, the dynamic adjustment method of the detection range of the present invention sets a spectral channel 305 and a first mass spectrometry channel 201. The sample to be tested enters the sample chamber 306 along the spectral channel 305, and the mass-to-charge ratio range is predicted according to the spectral data. The sample to be tested enters the acquisition device 204 along the first mass spectrometry channel 201, and the composition and content of the sample to be tested are predicted according to the mass spectrometry data. The dynamic adjustment method includes the following steps.

[0040] Step 1: At each sampling time interval T, the sample to be tested is divided into a first component and a second component according to the sample segmentation ratio A, the first component enters the spectral channel, and the second component enters the first mass spectrometry channel. The sample to be tested has a matrix and at least one component to be tested. The matrix is ​​one or more of vitamins, proteins or carbohydrates, and the component to be tested is one or more of heavy metals, toxins or pesticides.

[0041] Step 2: The light source emits infrared light of at least two wavelengths, and the beam splitter splits the infrared light into two coherent light beams. The two coherent light beams return to the beam splitter through a moving reflector and a static reflector to generate interference light. The light source 301 can be broadband continuous wavelength near-infrared light, and the wavelength of the light source 301 is preferably near-infrared light of 1450 nm to 2300 nm. Since the vibration frequencies of major organic chemical bonds and functional groups such as CH, OH, NH, -OH are within the frequency range of near-infrared light, the use of near-infrared light can ensure that these major chemical bonds or functional groups can be detected by spectroscopic equipment. Figure 3In the spectral device, after the infrared light passes through the beam splitter 304, the two coherent lights go to the moving reflector 303 and the static reflector 302 respectively, and then under the action of the moving reflector 303 and the static reflector 302, a variety of reflected lights with different optical path differences are formed. The reflected lights with different optical path differences return to the beam splitter 304 in turn to generate a variety of interference lights.

[0042] Step 3: After the interference light irradiates the first component, the transmitted light is generated. The detection device receives the transmitted light and generates interference data, and the spectral data is obtained according to the N groups of interference data. In this embodiment, the optical path difference between the two coherent light beams is adjusted by moving the movable reflector 303 to N reflection positions in sequence. The interference data is the interference light intensity of the two coherent light beams. The N interference light intensities are transformed to obtain the spectral data. In this embodiment, Fourier transform is preferably used to transform the interference data in the time domain into spectral data in the frequency domain. The discretized interference data has N measuring points (reflection positions). The interference light intensity corresponding to the reflection position n is I(n), and the spectral data , n≤N, k is the frequency, i is the imaginary unit. Draw a spectrum graph based on the spectral data, with the wave number (1 / wavelength) as the horizontal axis and the absorbance as the vertical axis, such as Figure 5 Different absorbances express the absorbance of the sample to be tested at that wavelength, reflecting the different components of the sample to be tested.

[0043] Step 4: Ionize sample ions from the second component, the sample ions enter the second mass spectrometer channel, modulate the sample ions into an ion beam, and drive the ion beam into the third mass spectrometer channel. Figure 4 In the mass spectrometry device, the ionization device ionizes the sample to be tested into ions based on the ionization parameters and drives the ions into the second mass spectrometry channel 202. Then, the transmission device in the second mass spectrometry channel 202 modulates the ions into an ion beam with a smaller divergence and drives the ion beam into the third mass spectrometry channel 203.

[0044] Step 5: The pulse voltage of the third mass spectrometry channel repels the ion beam. The matrix ions and the component ions to be measured in the ion beam pass through the migration device and collide with the collection device respectively. The mass spectrometry data is generated according to the collection time of the matrix ions and the component ions to be measured. The third mass spectrometry channel 203 includes a repeller and a migration device. The repeller is connected to a pulse voltage. The repeller drives the ions to the migration device periodically based on the pulse voltage. The migration device guides ions with different mass-to-charge ratios to collide with the collection device 204 at different collection times to generate mass spectrometry data. Draw the following figure based on the mass spectrometry data: Figure 6 The mass spectrum shown has flight time as the horizontal axis and signal intensity as the vertical axis.

[0045] Step 6: Predict at least two ion masses of the sample to be tested based on the spectral data, regenerate the current mass-to-charge ratio interval, generate the effective mass-to-charge ratio interval based on the current mass-to-charge ratio interval and the historical mass-to-charge ratio interval, determine the maximum flight time of the ion based on the effective mass-to-charge ratio interval, and then adjust the sampling time T. Extract spectral features (such as absorbance at characteristic wavelengths) from the spectral data, establish a feature model based on the spectral features of multiple known components, compare the current spectral features with the feature model, predict the matrix and at least one component to be tested, and then calculate the molecular mass based on the molecular formula of the matrix and the component to be tested. Since in the ionization process, the molecule loses an electron to form an ion with a unit positive charge, and the mass of the electron is negligible, the ion mass is the same as the molecular mass, thereby obtaining the ion mass m. The mass-to-charge ratio is m / q, where q is the amount of charge carried by the ion.

[0046] Furthermore, the present invention determines the minimum current mass-to-charge ratio z according to the multiple ion masses of the spectral data. M and the maximum current mass-to-charge ratio z´ M , combined with the historical mass-to-charge ratio range to determine the effective mass-to-charge ratio range. Then the maximum flight time T1 is calculated based on the maximum effective mass-to-charge ratio. Figure 7 As shown, a mass spectrometry detection process includes sample delivery, ionization, excitation, flight, and analysis. The sampling duration at least includes sample delivery duration, ionization duration, excitation duration, maximum flight duration, and minimum sleep duration. During the minimum sleep duration, the acquisition device 204, the migration device, etc. do not work, and the data analysis device completes the analysis and storage of the data. The sampling duration T=T1+T2+T3+T4+T5, T2 is the sample delivery duration, T3 is the ionization duration, T4 is the excitation duration, and T5 is the minimum sleep duration. The sample delivery duration, ionization duration, and excitation duration are determined by the device's own operating parameters, and the minimum sleep duration can be set to 3 to 10 seconds.

[0047] Step 7: Determine the total absorbance of the first component based on the spectral data, determine the total signal intensity of the second component based on the mass spectrum data, adjust the sample segmentation ratio A, and return to step 1. Different components of the sample to be tested in the spectrum and mass spectrum produce different peaks and ion peaks. The ratio of the first component to the second component should ensure that each peak is within the measurable range to obtain an ideal detection value. Sample segmentation ratio A = (R0-NR´) / (σ0-Pσ´). R0 is the total absorbance, which is equal to the sum of the absorbances of N measuring points. R´ is the reference absorbance of the detection device 307. Based on the linear relationship between absorbance and content, the reference absorbance is usually taken as 0.1. σ0 is the total signal intensity, which can be calculated by integrating the signal intensity at different flight times. σ' is the reference signal intensity of the acquisition device 204, and the signal intensity can be expressed as a count rate (Counts per Second, CPS). As Figure 6, the reference signal intensity is, for example, equal to 1000 CPS. P is the number of ion peaks in the mass spectrometry data. The signal intensity of the ion peaks in this embodiment should be greater than the reference signal intensity to eliminate too low noise signals. Usually the sample segmentation ratio A≤1. The preset sample segmentation ratio for the first detection can be preset to 0.4 to 0.8. Embodiment 2

[0048] The present invention further discloses a method for calculating the effective mass-to-charge ratio interval in step 6 of the first embodiment and calculating the maximum flight time according to the maximum effective mass-to-charge ratio.

[0049] Calculate the minimum current mass-to-charge ratio z in the current mass spectrum data M and the maximum current mass-to-charge ratio z´ M , the corresponding current mass-to-charge ratio interval is [z M , z´ M ], M is the sampling number. The same method is used to determine the historical mass-to-charge ratio interval of the sampling number m as [z m , z´ m ], 1≤m≤M-1. Introduce the forgetting factor e m-M Calculate weighted values ​​based on mass-to-charge ratio. , . z0 and z´0 reflect the composition change trend of the sample to be tested.

[0050] The effective mass-to-charge ratio interval is [z, z´], where the minimum effective mass-to-charge ratio z=min(z M , z0), the maximum effective mass-to-charge ratio z´=max(z´ M , z´0). min() is a function that takes a smaller value, and max() is a function that takes a larger value. The present invention uses a forgetting mechanism factor based on the degree of dependence on past data to fine-tune the mass-to-charge ratio interval to ensure that the mass-to-charge ratio interval is adjusted under the premise of avoiding system oscillation, and to avoid frequent large-scale adjustments that affect the stable operation of the equipment.

[0051] The effective length and electric field strength of each part of the field region in the third mass spectrometer channel 203 are as follows: Figure 8 As shown. L1, L2, L3, L4, L5 represent the effective lengths of the repulsion zone, the acceleration zone, the field-free zone, the first reflection zone, and the second reflection zone, respectively. E1, E2, E3, E4, E5 represent the electric field strengths of the repulsion zone, the acceleration zone, the field-free zone, the first reflection zone, and the second reflection zone, respectively. L6 is the effective length of the ion moving in the repulsion zone when it just enters the third mass spectrometry channel 203. Since the mass of a single ion is small and the flight time is very short, the effect of gravity on the ion movement can be ignored, and E3 is the electric field strength of the field-free zone, so E3=0.

[0052] Assume that t1, t2, t3, t4, and t5 are the times when the ions move in the repulsion zone, the acceleration zone, the field-free zone, the first reflection zone, and the second reflection zone during the rising process of the third mass spectrometry channel 203, respectively. The ion mass is m, the charge carried is q, and the mass-to-charge ratio is m / q. When the ions just enter the third mass spectrometry channel 203, they are first accelerated by the repulsion zone and the acceleration zone in the vertical direction, and then the ions enter the field-free zone and maintain a constant speed. Then, under the action of the first reflection zone and the second reflection zone, the ions are first decelerated to 0 and then accelerated in the opposite direction. When entering the field-free zone again, they maintain a constant speed until the ions hit the collection device 204, and maintain a constant speed in the horizontal direction until the ions hit the collection device 204. The following relationship can be obtained based on the movement relationship of the ions: ; ; ; ; Since the vertical flight trajectories in the migration device are equivalent upward and downward, the flight time of the ion with mass m and charge q in the third mass spectrometer channel 203 is t1+t2+2(t3+t4+t5). Substituting the above expressions of t1, t2, t3, t4, and t5, the relationship between the mass-to-charge ratio and the flight time of the ion can be obtained. Therefore, the maximum flight time T1 can be calculated based on the maximum effective mass-to-charge ratio z´. Embodiment 3

[0053] like Fig. 9 As shown, the present invention further discloses a method for detecting feed ingredients, comprising the following steps: The method for detecting feed ingredients adopts the dynamic adjustment method of the detection range described in the first embodiment, and the feed ingredients are samples to be tested.

[0054] Step 100: sucking feed particles from the conveyor belt and converting the feed particles into feed powder. Figure 2 In the present invention, feed particles are ground into feed powder by a grinding device 102. The sample delivery device 104 sucks the feed powder and separates it into a first component and a second component. The sample delivery device 104 can also supplement gas solvent to improve ionization efficiency.

[0055] Step 200: Generate mass spectrometry data according to the dynamic adjustment method of the detection range. Measure the current humidity of the feed powder, and calibrate at least one ionization parameter of the ionization device according to the current humidity. Specifically, the pre-detection device 103 detects the current humidity H of the feed powder, and calibrates at least one ionization parameter of the ionization device according to the current humidity H. In this embodiment, the ionization temperature parameter in the ionization device is calibrated according to the current humidity H. The humidity difference H'=H-H0 is calculated according to the current humidity H and the air humidity H0, and the compensation temperature T'=γH' is determined according to the humidity difference H', and then the calibrated ionization temperature T=T0+T' is determined according to the compensation temperature T' and the initial preset ionization temperature T0, where γ is the temperature compensation coefficient, and its value is, for example, 0.1°C. By measuring the humidity in the feed and appropriately increasing the temperature during ionization according to the moisture content in the feed, the evaporation of moisture in the feed can be accelerated, reducing the influence of moisture on the ionization efficiency. Avoid changes in the moisture content of the feed affecting the detection of components. Furthermore, if the ionization temperature is greater than the system linear temperature (50° C.), the electric field strength of the ionization device may be adjusted according to the ionization temperature and the pressure of the first mass spectrometer channel.

[0056] Step 300: extract the acquisition time of the component ions to be measured in the mass spectrum data, calculate the mass-to-charge ratio of the component ions to be measured, extract the signal intensity of the component ions to be measured in the mass spectrum data, and calculate the measured content of the component to be measured. Calculate the corresponding molar mass according to the mass-to-charge ratio of the component ions to be measured, determine the response ratio according to the signal intensity of the component to be measured, and calculate the measured content of the component to be measured according to the response ratio and the response function.

[0057] Specifically, after obtaining the mass spectrum of this detection, the flight time corresponding to the horizontal coordinate of each ion peak is extracted, and the mass-to-charge ratio of the corresponding ion is calculated using the method described in Example 2. The molecular mass and molar mass are then determined according to the mass-to-charge ratio to determine the type of each component to be measured. The signal intensity of multiple calibrated contents is measured at the same time and the response ratio is calculated, and the response function of the content and the response ratio is fitted. The response ratio of the ion peak of the component to be measured in the current mass spectrum is substituted into the response function to predict the content of each component to be measured.

[0058] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for dynamically adjusting a detection range, characterized in that: The following steps are involved: Step 1: At each sampling time interval T, the sample to be tested is divided into a first component and a second component according to a sample segmentation ratio A, the first component enters a spectral channel, and the second component enters a first mass spectrometry channel, and the sample to be tested comprises a matrix and at least one component to be tested; Step 2: The light source emits infrared light of at least two wavelengths, and the beam splitter splits the infrared light into two coherent light beams. The two coherent light beams return to the beam splitter through a moving reflector and a static reflector respectively to generate interference light; Step 3: After the interference light irradiates the first component, the transmission light is generated, and the detection device receives the transmission light and generates interference data, and obtains spectral data according to N sets of interference data; Step 4: ionizing sample ions from the second component, the sample ions enter the second mass spectrometry channel, modulating the sample ions into an ion beam, and driving the ion beam into the third mass spectrometry channel; Step 5: The pulse voltage of the third mass spectrometer channel repels the ion beam, and the matrix ions and the component ions to be measured in the ion beam pass through the migration device and collide with the collection device respectively, and mass spectrum data are generated according to the collection time of the matrix ions and the component ions to be measured; Step 6: Predict at least two ion masses of the sample to be tested based on the spectral data, regenerate the current mass-to-charge ratio interval, generate an effective mass-to-charge ratio interval based on the current mass-to-charge ratio interval and the historical mass-to-charge ratio interval, determine the maximum flight time of the ion based on the effective mass-to-charge ratio interval, and then adjust the sampling time T; Step 7: Determine the total absorbance of the first component according to the spectral data, determine the total signal intensity of the second component according to the mass spectral data, adjust the sample split ratio A, and return to step 1, wherein, In step 6, the current mass-to-charge ratio interval is [z M , z´ M ], M is the sampling sequence number, and the historical mass-to-charge ratio interval is [z m , z´ m ], 1≤m≤M-1, the effective mass-to-charge ratio interval is [z, z´], and the minimum effective mass-to-charge ratio z=min(z M , z0), the maximum effective mass-to-charge ratio z´=max(z´ M , z´0), where , , In step 6, the maximum flight time T1 is calculated according to the maximum effective mass-to-charge ratio. The sampling time T=T1+T2+T3+T4+T5, where T2 is the sample delivery time, T3 is the ionization time, T4 is the excitation time, and T5 is the minimum sleep time. In step 7, the sample segmentation ratio A = (R0-NR´) / (σ0-Pσ´), R0 is the total absorbance, R´ is the reference absorbance of the detection device, σ0 is the total signal intensity, σ´ is the reference signal intensity of the acquisition device, and P is the number of ion peaks in the mass spectrometry data.

2. The method for dynamically adjusting the detection range according to claim 1, characterized in that: In step 2, the light source is a broadband light source, and the infrared light wavelength is 1450 nm to 2300 nm.

3. The method for dynamically adjusting the detection range according to claim 1, characterized in that: In step 3, the optical path difference between the two coherent light beams is adjusted by moving the movable reflector to N reflection positions in sequence. The interference data is the interference light intensity of the two coherent light beams. The N interference light intensities are Fourier transformed to obtain spectral data.

4. The method for dynamically adjusting the detection range according to claim 3, characterized in that: In step 3, the interference light intensity corresponding to the reflection position n is I(n), and the spectral data , n≤N, k is the frequency, and i is the imaginary unit.

5. A method for detecting feed ingredients, characterized in that: The following steps are involved: Step 100: sucking feed particles from the conveyor belt and converting the feed particles into feed powder; Step 200: Generate mass spectrum data according to the method for dynamically adjusting the detection range of claim 1; Step 300: extracting the acquisition time of the component ions to be measured in the mass spectrum data, calculating the mass-to-charge ratio of the component ions to be measured, extracting the signal intensity of the component ions to be measured in the mass spectrum data, and calculating the actual measured content of the component to be measured.

6. The method for detecting feed ingredients according to claim 5, characterized in that: In step 200, the current humidity of the feed powder is measured, and at least one ionization parameter of the ionization device is calibrated according to the current humidity.

7. The method for detecting feed ingredients according to claim 5, characterized in that: In step 300, the corresponding molar mass is calculated according to the mass-to-charge ratio of the ion of the component to be measured, and then the response ratio is determined according to the signal intensity of the component to be measured, and the actual measured content of the component to be measured is calculated according to the response ratio and the response function.

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