Method and system for high-throughput fully-automatic sample processing utilizing magnetic column

Abstract

Provided are a method and system for high-throughput fully-automatic sample processing utilizing a magnetic column. The method comprises: acquiring distribution characteristic information of a target substance inside a sample solution and motion characteristic information of magnetic beads inside the sample solution, so as to adjust a magnetic column applied to the sample solution and change a motion state of the magnetic beads inside the sample solution, and allow the magnetic beads to move through a target substance-enriched region inside the sample solution as much as possible, thereby ensuring that the target substance is efficiently attached to surfaces of the magnetic beads; determining, on the basis of adsorption state information of the target substance on the surfaces of the magnetic beads, whether the magnetic beads need to be separated from the interior of the sample solution; and when the magnetic beads need to be separated from the interior of the sample solution, adjusting, on the basis of position information of the magnetic beads inside the sample solution, the magnetic column applied to the sample solution, so that the magnetic beads move according to a corresponding path, and the magnetic beads are separated from the sample solution, thereby ensuring that the magnetic beads can fully adsorb the target substance inside the sample solution, maximizing the enrichment of the target substance, and improving the purification effect.

Description

A fully automated sample processing method and system for high-throughput magnetic column processing Technical Field

[0001] This invention relates to the field of biochemical detection, and more particularly to a fully automated sample processing method and system for high-throughput magnetic column processing. Background Technology

[0002] In the detection of proteins such as nucleic acids, it is necessary to first enrich, separate, and purify the proteins to obtain corresponding protein composites before further biochemical detection can be performed. If the content of effective proteins in the protein composite is too high, the effectiveness of the biochemical detection cannot be guaranteed, thus reducing the reliability of the results. Therefore, the enrichment of proteins directly affects the accuracy of subsequent biochemical detection. Current technologies typically use magnetic beads for protein enrichment. Magnetic beads are placed in a sample solution containing proteins. Under the influence of an external magnetic column, the beads rotate within the sample solution. Proteins in the sample solution come into contact with and are adsorbed onto the surface of the magnetic beads, thus enriching them. However, the magnetic bead method relies on a magnetic column to control the regular rotation of the beads within the sample solution. It does not consider the uneven distribution of proteins within the sample solution, and therefore cannot guarantee that the beads can fully adsorb proteins, failing to maximize protein enrichment and reducing the purification effect. Summary of the Invention

[0003] The purpose of this invention is to provide a fully automated sample processing method and system for high-throughput magnetic column processing. This method acquires information on the distribution characteristics of target substances within the sample solution and the movement characteristics of magnetic beads within the sample solution. Based on this information, the magnetic columns applied to the sample solution are adjusted to change the movement state of the magnetic beads. The method fully considers the uneven distribution of target substances within the sample solution, ensuring that the magnetic beads move through target substance-rich areas as much as possible, guaranteeing efficient adhesion of the target substances to the bead surface. Based on the adsorption state information of the target substances on the bead surface, the method determines whether it is necessary to separate the magnetic beads from the sample solution, achieving effective extraction of the target substances. When separation is required, the magnetic columns applied to the sample solution are adjusted based on the position information of the magnetic beads within the sample solution, causing the magnetic beads to move along a corresponding path, separating the magnetic beads from the sample solution. This ensures that the magnetic beads can fully adsorb the target substances within the sample solution, maximizing the enrichment of the target substances and improving the purification effect.

[0004] This invention is achieved through the following technical solution:

[0005] A fully automated sample processing method for high-throughput magnetic column processing includes:

[0006] The sample solution is tested to obtain the distribution characteristics of the target substance inside the sample solution; the motion image of the magnetic beads inside the sample solution is acquired, and the motion image is analyzed to obtain the motion characteristic information of the magnetic beads;

[0007] Based on the target substance distribution characteristics and motion characteristics, the magnetic column applied to the sample solution is adjusted to change the motion state of the magnetic beads inside the sample solution; the surface of the magnetic beads is detected to obtain the target substance adsorption state information on the surface of the magnetic beads, and based on the target substance adsorption state information, it is determined whether the magnetic beads need to be separated from the sample solution.

[0008] When it is necessary to separate the magnetic beads from the sample solution, the magnetic column applied to the sample solution is adjusted based on the position information of the magnetic beads inside the sample solution, so that the magnetic beads move along the corresponding path, thereby separating the magnetic beads from the sample solution.

[0009] Optionally, the sample solution is detected to obtain the distribution characteristics of the target substance within the sample solution; a motion image of the magnetic beads within the sample solution is acquired, and the motion image is analyzed to obtain the motion characteristic information of the magnetic beads, including:

[0010] Fluorescence spectroscopy was performed on the sample solution at several time points to obtain several fluorescence spectral data corresponding one-to-one with the sample solution and the several time points; each fluorescence spectral data was analyzed to obtain the distribution data of the target substance within the sample solution corresponding to each time point; all target substance distribution data corresponding to the several time points were integrated and analyzed to obtain the target substance distribution characteristic information within the sample solution; wherein, the target substance distribution characteristic information refers to the target substance concentration corresponding to each sub-region within the sample solution.

[0011] The movement of the magnetic bead within the sample solution is dynamically captured to obtain dynamic images of the magnetic bead's movement. These dynamic images are then analyzed to obtain the movement path information of the magnetic bead within the sample solution and the dwell time information of the magnetic bead in each sub-region within the sample solution, which are used as the movement characteristic information of the magnetic bead.

[0012] Optionally, based on the target substance distribution characteristics and the motion characteristics, the magnetic column applied to the sample solution is adjusted to change the motion state of the magnetic beads within the sample solution; the surface of the magnetic beads is detected to obtain the target substance adsorption state information on the surface of the magnetic beads, and based on the target substance adsorption state information, it is determined whether the magnetic beads need to be separated from the sample solution, including:

[0013] Based on the target substance distribution characteristic information, which includes the target substance concentration in each of the sub-regions within the sample solution, all target substance enrichment sub-regions within the sample solution are determined. Based on the distribution location information of all target substance enrichment sub-regions within the sample solution, and the motion characteristic information, which includes the movement path information of the magnetic beads within the sample solution and the residence time information of the magnetic beads in each sub-region within the sample solution, the adhesion rate of the target substance within the sample solution to the surface of the magnetic beads is estimated. Then, based on the adhesion rate, it is determined whether the magnetic beads effectively adsorb the target substance within the sample solution. If yes, no adjustment is needed to the magnetic column applied to the sample solution; if no, adjustment is needed to the magnetic column applied to the sample solution.

[0014] When it is necessary to adjust the magnetic column applied to the sample solution, the optimal movement path of the magnetic bead inside the sample solution is determined based on the distribution location information of all target substance enrichment sub-regions; then, based on the optimal movement path, the flux and / or direction of the magnetic column applied to the sample solution are adjusted.

[0015] Fluorescence spectroscopy is performed on the surface of the magnetic beads to obtain the adsorption density information of the target substance on the surface of the magnetic beads; and based on the adsorption density information of the target substance, it is determined whether the surface of the magnetic beads has reached the adsorption saturation state of the target substance; if yes, it is determined that the magnetic beads need to be separated from the sample solution; if no, it is determined that the magnetic beads do not need to be separated from the sample solution.

[0016] Optionally, when it is necessary to separate the magnetic beads from the sample solution, the magnetic column applied to the sample solution is adjusted based on the position information of the magnetic beads within the sample solution, so that the magnetic beads move along a corresponding path, thereby separating the magnetic beads from the sample solution, including:

[0017] When it is necessary to separate the magnetic beads from the sample solution, the separation and movement path of the magnetic beads is determined based on the position information of the magnetic beads in the sample solution and the separation and removal target position information. Based on the separation and movement path, the flux and / or direction of the magnetic column applied to the sample solution are adjusted so that the magnetic beads move at a constant speed according to the separation and movement path, thereby separating the magnetic beads from the sample solution.

[0018] Optionally, adjusting the magnetic column flux applied to the sample solution includes:

[0019] Extract the basic parameters of the magnetic beads, wherein the basic parameters of the magnetic beads include the volume and mass of the magnetic beads;

[0020] Extract the viscosity of the sample solution in which the magnetic beads are located;

[0021] Real-time monitoring of the movement speed of magnetic beads in the sample solution;

[0022] The compensation adjustment coefficient for the magnetic column flux is obtained based on the basic parameters of the magnetic beads, the viscosity of the sample solution in which the magnetic beads are located, and the moving speed of the magnetic beads in the sample solution.

[0023] The compensation adjustment coefficient for the magnetic column flux is obtained by the following formula:

[0024] Where δ represents the compensation adjustment coefficient of the magnetic column flux; n represents the number of unit time intervals during which the magnetic column flux adjustment takes place, and the unit time interval is 1 second; v i This represents the moving speed of the magnetic bead in the i-th unit of time; v d Indicates the minimum allowed movement speed of the magnetic bead during the preset movement process; B i B represents the magnetic field strength corresponding to the i-th unit of time of the magnetic bead; c The magnetic field strength corresponds to the minimum allowable movement speed of the magnetic bead during its movement; B represents the current magnetic field strength; V represents the volume of the magnetic bead; m represents the mass of the magnetic bead; X represents the magnetic susceptibility of the magnetic bead; ρ represents the density of the sample solution; η represents the viscosity of the sample solution; R represents the radius of the magnetic bead; and x represents the base of the preset logarithmic function, which is obtained using the following formula:

[0025] Where x represents the base of the preset logarithmic function; v represents the current moving speed of the magnetic bead; B represents the current magnetic field strength of the magnetic bead; v d Indicates the minimum allowed movement speed of the magnetic bead during the preset movement process; B c This represents the magnetic field strength corresponding to the minimum allowable movement speed of the magnetic bead during its movement; g represents the current rate of change of the magnetic bead's velocity.

[0026] The current magnetic column flux is adjusted using the compensation adjustment coefficient of the magnetic column flux, wherein the adjusted magnetic column flux is obtained by the following formula:

[0027] Where P represents the adjusted magnetic flux; δ represents the compensation adjustment coefficient for the magnetic flux; δ c B represents the preset compensation adjustment coefficient reference value; B represents the magnetic field strength of the magnetic bead at the current moment; B x The current time represents the magnetic field strength acquired at the previous data acquisition time; v represents the current moving speed of the magnetic bead; v x The current moment represents the moving speed acquired at the previous data acquisition moment; A represents the area through which the magnetic field lines pass; θ represents the angle between the direction of the magnetic field and the direction of the area normal.

[0028] A fully automated sample processing system for high-throughput magnetic column processing includes:

[0029] The sample solution substance distribution identification module is used to detect the sample solution and obtain the target substance distribution characteristic information inside the sample solution;

[0030] The magnetic bead motion detection module is used to acquire motion images of magnetic beads inside the sample solution, analyze the motion images, and obtain motion characteristic information of the magnetic beads.

[0031] The magnetic bead motion adjustment module is used to adjust the magnetic column applied to the sample solution based on the target substance distribution characteristic information and the motion characteristic information, thereby changing the motion state of the magnetic bead inside the sample solution;

[0032] A magnetic bead surface adsorption identification module is used to detect the surface of the magnetic beads, obtain the adsorption state information of the target substance on the surface of the magnetic beads, and determine whether the magnetic beads need to be separated from the sample solution based on the adsorption state information of the target substance.

[0033] The magnetic bead separation and removal control module is used to adjust the magnetic column applied to the sample solution based on the position information of the magnetic bead inside the sample solution when it is necessary to separate the magnetic bead from the sample solution, so that the magnetic bead moves along a corresponding path and is separated from the sample solution.

[0034] Optionally, the sample solution substance distribution identification module is used to detect the sample solution and obtain the target substance distribution feature information within the sample solution, including:

[0035] Fluorescence spectroscopy was performed on the sample solution at several time points to obtain several fluorescence spectral data corresponding one-to-one with the sample solution and the several time points; each fluorescence spectral data was analyzed to obtain the distribution data of the target substance within the sample solution corresponding to each time point; all target substance distribution data corresponding to the several time points were integrated and analyzed to obtain the target substance distribution characteristic information within the sample solution; wherein, the target substance distribution characteristic information refers to the target substance concentration corresponding to each sub-region within the sample solution.

[0036] The magnetic bead motion detection module is used to acquire motion images of the magnetic beads within the sample solution, analyze the motion images to obtain motion characteristic information of the magnetic beads, including:

[0037] The movement of the magnetic bead within the sample solution is dynamically captured to obtain dynamic images of the magnetic bead's movement. These dynamic images are then analyzed to obtain the movement path information of the magnetic bead within the sample solution and the dwell time information of the magnetic bead in each sub-region within the sample solution, which are used as the movement characteristic information of the magnetic bead.

[0038] Optionally, the magnetic bead motion adjustment module is used to adjust the magnetic column applied to the sample solution based on the target substance distribution characteristic information and the motion characteristic information, thereby changing the motion state of the magnetic bead within the sample solution, including:

[0039] Based on the target substance distribution characteristic information, which includes the target substance concentration in each of the sub-regions within the sample solution, all target substance enrichment sub-regions within the sample solution are determined. Based on the distribution location information of all target substance enrichment sub-regions within the sample solution, and the motion characteristic information, which includes the movement path information of the magnetic beads within the sample solution and the residence time information of the magnetic beads in each sub-region within the sample solution, the adhesion rate of the target substance within the sample solution to the surface of the magnetic beads is estimated. Then, based on the adhesion rate, it is determined whether the magnetic beads effectively adsorb the target substance within the sample solution. If yes, no adjustment is needed to the magnetic column applied to the sample solution; if no, adjustment is needed to the magnetic column applied to the sample solution.

[0040] When it is necessary to adjust the magnetic column applied to the sample solution, the optimal movement path of the magnetic bead inside the sample solution is determined based on the distribution location information of all target substance enrichment sub-regions; then, based on the optimal movement path, the flux and / or direction of the magnetic column applied to the sample solution are adjusted.

[0041] The magnetic bead surface adsorption recognition module is used to detect the surface of the magnetic beads, obtain the adsorption state information of the target substance on the surface of the magnetic beads, and determine whether the magnetic beads need to be separated from the sample solution based on the adsorption state information of the target substance, including:

[0042] Fluorescence spectroscopy is performed on the surface of the magnetic beads to obtain the adsorption density information of the target substance on the surface of the magnetic beads; and based on the adsorption density information of the target substance, it is determined whether the surface of the magnetic beads has reached the adsorption saturation state of the target substance; if yes, it is determined that the magnetic beads need to be separated from the sample solution; if no, it is determined that the magnetic beads do not need to be separated from the sample solution.

[0043] Optionally, the magnetic bead separation and removal control module is used to adjust the magnetic column applied to the sample solution based on the position information of the magnetic bead inside the sample solution when it is necessary to separate the magnetic bead from the sample solution, so as to make the magnetic bead move along a corresponding path and thus separate the magnetic bead from the sample solution, including:

[0044] When it is necessary to separate the magnetic beads from the sample solution, the separation and movement path of the magnetic beads is determined based on the position information of the magnetic beads in the sample solution and the separation and removal target position information. Based on the separation and movement path, the flux and / or direction of the magnetic column applied to the sample solution are adjusted so that the magnetic beads move at a constant speed according to the separation and movement path, thereby separating the magnetic beads from the sample solution.

[0045] Compared with the prior art, the present invention has the following beneficial effects:

[0046] The fully automated sample processing method and system for high-throughput magnetic column processing provided in this application acquires the distribution characteristics of target substances within the sample solution and the movement characteristics of magnetic beads within the sample solution. Based on this, the magnetic columns applied to the sample solution are adjusted to change the movement state of the magnetic beads within the sample solution. This fully considers the non-uniform distribution of target substances within the sample solution, ensuring that the magnetic beads move through target substance-rich areas within the sample solution as much as possible, guaranteeing efficient adhesion of the target substances to the surface of the magnetic beads. Based on the adsorption state information of the target substances on the surface of the magnetic beads, it is determined whether it is necessary to separate the magnetic beads from the sample solution, achieving effective extraction of the target substances from the sample solution. When separation of the magnetic beads from the sample solution is necessary, based on the position information of the magnetic beads within the sample solution, the magnetic columns applied to the sample solution are adjusted so that the magnetic beads move along a corresponding path, separating the magnetic beads from the sample solution. This ensures that the magnetic beads can fully adsorb the target substances within the sample solution, maximizing the enrichment of the target substances and improving the purification effect. Attached Figure Description

[0047] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort. Wherein:

[0048] Figure 1 is a schematic flowchart of a fully automated sample processing method for high-throughput magnetic column processing provided by the present invention.

[0049] Figure 2 is a schematic diagram of the structure of a fully automated sample processing system for high-throughput magnetic column processing provided by the present invention. Detailed Implementation

[0050] To make the above-mentioned objectives, features, and advantages of this application more apparent and understandable, the specific embodiments of this application will be described in detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are for illustrative purposes only and are not intended to limit the scope of this application. Furthermore, it should be noted that, for ease of description, only the parts relevant to this application are shown in the accompanying drawings, not the entire structure. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without inventive effort are within the scope of protection of this application.

[0051] The terms “comprising” and “having”, and any variations thereof, used in this application are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or apparatus that includes a series of steps or units is not limited to the steps or units listed, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to such process, method, product, or apparatus.

[0052] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0053] Please refer to Figure 1. An embodiment of this application provides a fully automated sample processing method for high-throughput magnetic column processing. This fully automated sample processing method for high-throughput magnetic column processing includes:

[0054] The sample solution is tested to obtain the distribution characteristics of the target substance inside the sample solution; the motion image of the magnetic bead inside the sample solution is acquired, and the motion image is analyzed to obtain the motion characteristic information of the magnetic bead;

[0055] Based on the distribution and motion characteristics of the target substance, the magnetic column applied to the sample solution is adjusted to change the motion state of the magnetic bead inside the sample solution; the surface of the magnetic bead is detected to obtain the adsorption state information of the target substance on the surface of the magnetic bead, and based on the adsorption state information of the target substance, it is determined whether the magnetic bead needs to be separated from the sample solution.

[0056] When it is necessary to separate the magnetic bead from the sample solution, the magnetic column applied to the sample solution is adjusted based on the position information of the magnetic bead inside the sample solution, so that the magnetic bead moves along the corresponding path and is thus separated from the sample solution.

[0057] The beneficial effects of the above embodiments are that this fully automated sample processing method for high-throughput magnetic column processing acquires the distribution characteristics of target substances within the sample solution and the movement characteristics of magnetic beads within the sample solution. Based on this, the magnetic columns applied to the sample solution are adjusted to change the movement state of the magnetic beads within the sample solution. This fully considers the uneven distribution of target substances within the sample solution, ensuring that the magnetic beads move through target substance-rich areas within the sample solution as much as possible, guaranteeing efficient adhesion of the target substances to the surface of the magnetic beads. Based on the adsorption state information of the target substances on the surface of the magnetic beads, it is determined whether it is necessary to separate the magnetic beads from the sample solution, achieving effective extraction of the target substances from the sample solution. When separation of the magnetic beads from the sample solution is necessary, based on the position information of the magnetic beads within the sample solution, the magnetic columns applied to the sample solution are adjusted so that the magnetic beads move along a corresponding path, separating the magnetic beads from the sample solution. This ensures that the magnetic beads can fully adsorb the target substances within the sample solution, maximizing the enrichment of the target substances and improving the purification effect.

[0058] In another embodiment, the sample solution is detected to obtain the distribution characteristics of the target substance within the sample solution; a motion image of the magnetic bead within the sample solution is acquired, and the motion image is analyzed to obtain the motion characteristic information of the magnetic bead, including:

[0059] Fluorescence spectroscopy was performed on the sample solution at several time points to obtain several fluorescence spectral data corresponding to the sample solution and these time points. Each fluorescence spectral data was analyzed to obtain the distribution data of the target substance within the sample solution corresponding to each time point. All target substance distribution data corresponding to these time points were integrated and analyzed to obtain the target substance distribution characteristic information within the sample solution. The target substance distribution characteristic information refers to the target substance concentration corresponding to each sub-region within the sample solution.

[0060] The movement of the magnetic bead within the sample solution is dynamically captured to obtain a dynamic image of the magnetic bead's movement. This dynamic image is then analyzed to obtain the movement path information of the magnetic bead within the sample solution and the dwell time information of the magnetic bead in each sub-region within the sample solution, which are used as the movement characteristic information of the magnetic bead.

[0061] The beneficial effects of the above embodiments are that the sample solution mainly contains target substances (such as nucleic acids or other protein substances) and other impurities. The target substances diffuse and move within the sample solution, resulting in different concentrations of target substances in different sub-regions within the sample solution. These different sub-regions can be, but are not limited to, several sub-regions distributed sequentially along the depth direction within the sample solution, each corresponding to a different depth range. The concentration distribution of the target substances in different sub-regions within the sample solution is non-uniform; some sub-regions have lower concentrations, while others have higher concentrations. To ensure that the magnetic beads can adsorb the target substances as quickly and extensively as possible, it is necessary to ensure that the magnetic beads can move within the sub-regions with higher target substance concentrations. Therefore, it is necessary to pre-determine the target substance concentration distribution within the sample solution. By performing fluorescence spectral detection on the global range of the sample solution at several time points, several fluorescence spectral data corresponding to those time points are obtained. Generally speaking, the greater the fluorescence intensity corresponding to the characteristic wavelength of the target substance in the fluorescence spectral data of a certain region within the sample solution, the greater the content of the target substance in that region. Then, each fluorescence spectral data is analyzed to obtain the distribution data of the target substance within the sample solution corresponding to each time point. By integrating and analyzing all the target substance distribution data corresponding to several time points, the concentration of the target substance corresponding to each sub-region within the sample solution is obtained. This allows for the quantitative determination of the target substance concentration in all sub-regions within the sample solution. Furthermore, integrating and analyzing all the target substance distribution data corresponding to different time points avoids the large errors that can occur when determining the distribution concentration of the target substance based on fluorescence spectral data obtained from a single fluorescence spectral detection. Furthermore, the movement path and speed of the magnetic beads within the sample solution affect the adsorption efficiency of the target substance on the bead surface. Generally, if the movement path of the magnetic beads within the sample solution passes through sub-regions with high target substance concentrations and the movement speed of the magnetic beads is relatively low (i.e., the movement and residence time of the magnetic beads within each sub-region is relatively long), the adsorption efficiency of the target substance on the magnetic bead surface is also relatively high. Therefore, dynamic imaging and image analysis are performed on the movement process of the magnetic beads within the sample solution to obtain information on the movement path of the magnetic beads within the sample solution and the movement and residence time information of the magnetic beads in each sub-region within the sample solution. By detecting the movement of the magnetic beads, a reliable basis can be provided for subsequent adjustments to the movement path of the magnetic beads within the sample solution, so that the magnetic beads move through the target substance-rich areas within the sample solution as much as possible.

[0062] In another embodiment, based on the distribution characteristics and motion characteristics of the target substance, the magnetic column applied to the sample solution is adjusted to change the motion state of the magnetic bead within the sample solution; the surface of the magnetic bead is detected to obtain the adsorption state information of the target substance on the surface of the magnetic bead, and based on the adsorption state information of the target substance, it is determined whether the magnetic bead needs to be separated from the sample solution, including:

[0063] Based on the target substance distribution characteristics, including the target substance concentration in each sub-region within the sample solution, all target substance enrichment sub-regions within the sample solution are determined. Based on the distribution location information of all target substance enrichment sub-regions within the sample solution, and the motion path information and residence time information of the magnetic beads in each sub-region within the sample solution, including the motion characteristics, the adhesion rate of the target substance on the surface of the magnetic beads is estimated. Based on this adhesion rate, it is determined whether the magnetic beads effectively adsorb the target substance within the sample solution. If so, no adjustment is needed to the magnetic column applied to the sample solution; otherwise, adjustment is required.

[0064] When it is necessary to adjust the magnetic column applied to the sample solution, the optimal movement path of the magnetic bead inside the sample solution is determined based on the distribution location information of all target substance enrichment regions; then, based on the optimal movement path, the flux and / or direction of the magnetic column applied to the sample solution are adjusted.

[0065] Fluorescence spectroscopy was performed on the surface of the magnetic bead to obtain the adsorption density information of the target substance on the surface of the magnetic bead. Based on the adsorption density information of the target substance, it was determined whether the surface of the magnetic bead had reached the adsorption saturation state of the target substance. If so, it was determined that the magnetic bead needed to be separated from the sample solution. If not, it was determined that the magnetic bead did not need to be separated from the sample solution.

[0066] The beneficial effects of the above embodiments are as follows: Based on the target substance distribution characteristics information, which includes the target substance concentration corresponding to each sub-region within the sample solution, all target substance enrichment sub-regions within the sample solution are determined. For example, the target substance concentration corresponding to each sub-region is compared with a preset concentration threshold. If the target substance concentration exceeds the preset concentration threshold, the corresponding sub-region is determined to be a target substance enrichment sub-region. Based on the distribution location information of all target substance enrichment sub-regions within the sample solution, as well as the motion path information of the magnetic beads within the sample solution and the motion residence time information of the magnetic beads in each sub-region within the sample solution, the adhesion rate of the target substance on the surface of the magnetic beads within the sample solution is modeled and estimated to obtain the average adhesion rate of the target substance on the surface of the magnetic beads (i.e., the amount of target substance adhered to the surface of the magnetic beads per unit time). If the average adhesion rate is greater than or equal to a preset adhesion rate threshold, it is determined that the magnetic beads have effectively adsorbed the target substance within the sample solution; otherwise, it is determined that the magnetic beads have not effectively adsorbed the target substance within the sample solution. This allows for accurate determination of whether it is necessary to adjust the magnetic columns applied to the sample solution to change the movement of the magnetic beads within the sample solution (e.g., movement path and / or movement speed). When adjustments to the magnetic column applied to the sample solution are required, the optimal movement path of the magnetic bead within the sample solution is determined based on the distribution information of all target substance enrichment regions. This allows the magnetic column flux and / or direction to be adjusted, enabling the magnetic bead to move along the optimal path at a suitable speed within the sample solution. This ensures the magnetic bead traverses as many target substance enrichment regions as possible and has a sufficiently long residence time within these regions. Furthermore, fluorescence spectroscopy is performed on the magnetic bead surface to obtain the target substance adsorption density information (e.g., the amount of target substance adsorbed per unit area of ​​the magnetic bead surface). Threshold comparisons are then performed on this target substance adsorption density information to determine whether the magnetic bead surface has reached target substance adsorption saturation, providing an accurate basis for determining whether to separate the magnetic bead from the sample solution.

[0067] In another embodiment, when it is necessary to separate the magnetic bead from the sample solution, the magnetic column applied to the sample solution is adjusted based on the position information of the magnetic bead within the sample solution, so that the magnetic bead moves along a corresponding path, thereby separating the magnetic bead from the sample solution, including:

[0068] When it is necessary to separate the magnetic bead from the sample solution, the separation path of the magnetic bead is determined based on the position information of the magnetic bead in the sample solution and the separation and removal target position information. Based on the separation path, the flux and / or direction of the magnetic column applied to the sample solution are adjusted so that the magnetic bead moves at a constant speed along the separation path, thereby separating the magnetic bead from the sample solution.

[0069] The beneficial effect of the above embodiments is that when it is necessary to separate magnetic beads from the sample solution, it indicates that the current movement path of the magnetic beads within the sample solution needs to be changed, so that the magnetic beads no longer rotate within the sample solution, but move out of the sample solution along a different path. To ensure that the magnetic beads leave the sample solution efficiently and without collision during the separation process, the separation path of the magnetic beads is determined based on the position information of the magnetic beads within the sample solution and the separation and removal target location information; then, based on the separation path, the flux and / or direction of the magnetic column applied to the sample solution are adjusted, so that the magnetic beads move at a uniform speed along the separation path, thereby separating the magnetic beads from the sample solution, providing a sufficient material basis for the subsequent enrichment and purification of the target substances adsorbed on the surface of the magnetic beads.

[0070] In another embodiment, adjusting the magnetic column flux applied to the sample solution includes:

[0071] Extract the basic parameters of the magnetic beads, wherein the basic parameters of the magnetic beads include the volume and mass of the magnetic beads;

[0072] Extract the viscosity of the sample solution in which the magnetic beads are located;

[0073] Real-time monitoring of the movement speed of magnetic beads in the sample solution;

[0074] The compensation adjustment coefficient for the magnetic column flux is obtained based on the basic parameters of the magnetic beads, the viscosity of the sample solution in which the magnetic beads are located, and the moving speed of the magnetic beads in the sample solution.

[0075] The compensation adjustment coefficient for the magnetic column flux is obtained by the following formula:

[0076] Where δ represents the compensation adjustment coefficient of the magnetic column flux; n represents the number of unit time intervals during which the magnetic column flux adjustment takes place, and the unit time interval is 1 second; v i This represents the moving speed of the magnetic bead in the i-th unit of time; v d Indicates the minimum allowed movement speed of the magnetic bead during the preset movement process; B i B represents the magnetic field strength corresponding to the i-th unit of time of the magnetic bead; c The magnetic field strength corresponds to the minimum allowable movement speed of the magnetic bead during its movement; B represents the current magnetic field strength; V represents the volume of the magnetic bead; m represents the mass of the magnetic bead; X represents the magnetic susceptibility of the magnetic bead; ρ represents the density of the sample solution; η represents the viscosity of the sample solution; R represents the radius of the magnetic bead; and x represents the base of the preset logarithmic function, which is obtained using the following formula:

[0077] Where x represents the base of the preset logarithmic function; v represents the current moving speed of the magnetic bead; B represents the current magnetic field strength of the magnetic bead; v d Indicates the minimum allowed movement speed of the magnetic bead during the preset movement process; B c This represents the magnetic field strength corresponding to the minimum allowable movement speed of the magnetic bead during its movement; g represents the current rate of change of the magnetic bead's velocity.

[0078] The current magnetic column flux is adjusted using the compensation adjustment coefficient of the magnetic column flux, wherein the adjusted magnetic column flux is obtained by the following formula:

[0079] Where P represents the adjusted magnetic flux; δ represents the compensation adjustment coefficient for the magnetic flux; δ c B represents the preset compensation adjustment coefficient reference value; B represents the magnetic field strength of the magnetic bead at the current moment; B x The current time represents the magnetic field strength acquired at the previous data acquisition time; v represents the current moving speed of the magnetic bead; v x The current moment represents the moving speed acquired at the previous data acquisition moment; A represents the area through which the magnetic field lines pass; θ represents the angle between the direction of the magnetic field and the direction of the area normal.

[0080] The beneficial effects of the above embodiments are that, by real-time monitoring of the magnetic bead's movement speed in the sample solution and combining the basic parameters of the magnetic beads (such as volume and mass) with the viscosity of the sample solution, this technical solution can dynamically adjust the magnetic column flux. This dynamic adjustment allows the system to adapt to different experimental conditions, such as the type of magnetic bead and the properties of the solution, thereby improving the accuracy and stability of the experiment. Using the above mathematical formulas and parameters (such as the magnetic susceptibility of the magnetic beads, the density and viscosity of the sample solution, and the radius of the magnetic beads), this technology can accurately calculate the compensation adjustment coefficient of the magnetic column flux. This coefficient considers not only the movement speed of the magnetic beads but also the magnetic field strength, the physical properties of the magnetic beads, and the properties of the solution, thus achieving high-precision adjustment of the magnetic column flux. By adjusting the magnetic column flux, this technology can optimize experimental processes such as magnetic separation or magnetic enrichment, improving experimental efficiency. For example, in the magnetic separation process, an appropriate magnetic column flux can ensure that the magnetic beads are uniformly distributed in the sample solution, thereby accelerating the separation speed and improving the separation efficiency. The formulas and parameters in this technical solution can be adjusted and optimized according to specific experimental needs. For example, by changing preset parameters such as the minimum allowable moving speed (vd) and corresponding magnetic field strength (Bc) during the movement of the magnetic bead, the technology can adapt to different types of magnetic beads and experimental conditions. Because this technique can precisely adjust the magnetic flux, it can significantly improve experimental repeatability. This is particularly important for research fields that require repeated experiments to obtain reliable results.

[0081] In summary, this technical solution achieves precise adjustment and optimization of the magnetic column flux by real-time monitoring and adjustment of the magnetic bead's movement speed in the sample solution, combined with the physical properties of the magnetic bead and the sample solution. This not only improves the accuracy and stability of the experiment but also optimizes experimental efficiency and enhances reproducibility.

[0082] Please refer to Figure 2. An embodiment of this application provides a fully automated sample processing system for high-throughput magnetic column processing. This fully automated sample processing system for high-throughput magnetic column processing includes:

[0083] The sample solution substance distribution identification module is used to detect the sample solution and obtain the target substance distribution characteristic information inside the sample solution;

[0084] The magnetic bead motion detection module is used to acquire motion images of magnetic beads within the sample solution, analyze the motion images, and obtain motion characteristic information of the magnetic beads.

[0085] The magnetic bead motion adjustment module is used to adjust the magnetic column applied to the sample solution based on the distribution characteristics and motion characteristics of the target substance, thereby changing the motion state of the magnetic bead inside the sample solution.

[0086] The magnetic bead surface adsorption identification module is used to detect the surface of the magnetic bead, obtain the adsorption state information of the target substance on the surface of the magnetic bead, and determine whether the magnetic bead needs to be separated from the sample solution based on the adsorption state information of the target substance.

[0087] The magnetic bead separation and removal control module is used to adjust the magnetic column applied to the sample solution based on the position information of the magnetic bead inside the sample solution when it is necessary to separate the magnetic bead from the sample solution, so that the magnetic bead moves along the corresponding path and is separated from the sample solution.

[0088] The beneficial effects of the above embodiments are that the fully automated sample processing system for high-throughput magnetic column processing acquires the distribution characteristics of target substances within the sample solution and the movement characteristics of magnetic beads within the sample solution. Based on this, the magnetic columns applied to the sample solution are adjusted to change the movement state of the magnetic beads within the sample solution. This fully considers the uneven distribution of target substances within the sample solution, ensuring that the magnetic beads move through target substance-rich areas within the sample solution as much as possible, guaranteeing efficient adhesion of the target substances to the surface of the magnetic beads. Based on the adsorption state information of the target substances on the surface of the magnetic beads, it is determined whether it is necessary to separate the magnetic beads from the sample solution, achieving effective extraction of the target substances from the sample solution. When separation of the magnetic beads from the sample solution is necessary, based on the position information of the magnetic beads within the sample solution, the magnetic columns applied to the sample solution are adjusted so that the magnetic beads move along a corresponding path, separating the magnetic beads from the sample solution. This ensures that the magnetic beads can fully adsorb the target substances within the sample solution, maximizing the enrichment of the target substances and improving the purification effect.

[0089] In another embodiment, the sample solution substance distribution identification module is used to detect the sample solution and obtain target substance distribution feature information within the sample solution, including:

[0090] Fluorescence spectroscopy was performed on the sample solution at several time points to obtain several fluorescence spectral data corresponding to the sample solution and these time points. Each fluorescence spectral data was analyzed to obtain the distribution data of the target substance within the sample solution corresponding to each time point. All target substance distribution data corresponding to these time points were integrated and analyzed to obtain the target substance distribution characteristic information within the sample solution. The target substance distribution characteristic information refers to the target substance concentration corresponding to each sub-region within the sample solution.

[0091] This magnetic bead motion detection module is used to acquire motion images of magnetic beads within the sample solution, and analyze these motion images to obtain the motion characteristic information of the magnetic beads, including:

[0092] The movement of the magnetic bead within the sample solution is dynamically captured to obtain a dynamic image of the magnetic bead's movement. This dynamic image is then analyzed to obtain the movement path information of the magnetic bead within the sample solution and the dwell time information of the magnetic bead in each sub-region within the sample solution, which are used as the movement characteristic information of the magnetic bead.

[0093] The beneficial effects of the above embodiments are that the sample solution mainly contains target substances (such as nucleic acids or other protein substances) and other impurities. The target substances diffuse and move within the sample solution, resulting in different concentrations of target substances in different sub-regions within the sample solution. These different sub-regions can be, but are not limited to, several sub-regions distributed sequentially along the depth direction within the sample solution, each corresponding to a different depth range. The concentration distribution of the target substances in different sub-regions within the sample solution is non-uniform; some sub-regions have lower concentrations, while others have higher concentrations. To ensure that the magnetic beads can adsorb the target substances as quickly and extensively as possible, it is necessary to ensure that the magnetic beads can move within the sub-regions with higher target substance concentrations. Therefore, it is necessary to pre-determine the target substance concentration distribution within the sample solution. By performing fluorescence spectral detection on the global range of the sample solution at several time points, several fluorescence spectral data corresponding to those time points are obtained. Generally speaking, the greater the fluorescence intensity corresponding to the characteristic wavelength of the target substance in the fluorescence spectral data of a certain region within the sample solution, the greater the content of the target substance in that region. Then, each fluorescence spectral data is analyzed to obtain the distribution data of the target substance within the sample solution corresponding to each time point. By integrating and analyzing all the target substance distribution data corresponding to several time points, the concentration of the target substance corresponding to each sub-region within the sample solution is obtained. This allows for the quantitative determination of the target substance concentration in all sub-regions within the sample solution. Furthermore, integrating and analyzing all the target substance distribution data corresponding to different time points avoids the large errors that can occur when determining the distribution concentration of the target substance based on fluorescence spectral data obtained from a single fluorescence spectral detection. Furthermore, the movement path and speed of the magnetic beads within the sample solution affect the adsorption efficiency of the target substance on the bead surface. Generally, if the movement path of the magnetic beads within the sample solution passes through sub-regions with high target substance concentrations and the movement speed of the magnetic beads is relatively low (i.e., the movement and residence time of the magnetic beads within each sub-region is relatively long), the adsorption efficiency of the target substance on the magnetic bead surface is also relatively high. Therefore, dynamic imaging and image analysis are performed on the movement process of the magnetic beads within the sample solution to obtain information on the movement path of the magnetic beads within the sample solution and the movement and residence time information of the magnetic beads in each sub-region within the sample solution. By detecting the movement of the magnetic beads, a reliable basis can be provided for subsequent adjustments to the movement path of the magnetic beads within the sample solution, so that the magnetic beads move through the target substance-rich areas within the sample solution as much as possible.

[0094] In another embodiment, the magnetic bead motion adjustment module is used to adjust the magnetic column applied to the sample solution based on the target substance distribution characteristic information and the motion characteristic information, thereby changing the motion state of the magnetic bead within the sample solution, including:

[0095] Based on the target substance distribution characteristics, including the target substance concentration in each sub-region within the sample solution, all target substance enrichment sub-regions within the sample solution are determined. Based on the distribution location information of all target substance enrichment sub-regions within the sample solution, and the motion path information and residence time information of the magnetic beads in each sub-region within the sample solution, including the motion characteristics, the adhesion rate of the target substance on the surface of the magnetic beads is estimated. Based on this adhesion rate, it is determined whether the magnetic beads effectively adsorb the target substance within the sample solution. If so, no adjustment is needed to the magnetic column applied to the sample solution; otherwise, adjustment is required.

[0096] When it is necessary to adjust the magnetic column applied to the sample solution, the optimal movement path of the magnetic bead inside the sample solution is determined based on the distribution location information of all target substance enrichment regions; then, based on the optimal movement path, the flux and / or direction of the magnetic column applied to the sample solution are adjusted.

[0097] The magnetic bead surface adsorption recognition module is used to detect the surface of the magnetic bead, obtain the adsorption state information of the target substance on the surface of the magnetic bead, and determine whether the magnetic bead needs to be separated from the sample solution based on the adsorption state information of the target substance, including:

[0098] Fluorescence spectroscopy was performed on the surface of the magnetic bead to obtain the adsorption density information of the target substance on the surface of the magnetic bead. Based on the adsorption density information of the target substance, it was determined whether the surface of the magnetic bead had reached the adsorption saturation state of the target substance. If so, it was determined that the magnetic bead needed to be separated from the sample solution. If not, it was determined that the magnetic bead did not need to be separated from the sample solution.

[0099] The beneficial effects of the above embodiments are as follows: Based on the target substance distribution characteristics information, which includes the target substance concentration corresponding to each sub-region within the sample solution, all target substance enrichment sub-regions within the sample solution are determined. For example, the target substance concentration corresponding to each sub-region is compared with a preset concentration threshold. If the target substance concentration exceeds the preset concentration threshold, the corresponding sub-region is determined to be a target substance enrichment sub-region. Based on the distribution location information of all target substance enrichment sub-regions within the sample solution, as well as the motion path information of the magnetic beads within the sample solution and the motion residence time information of the magnetic beads in each sub-region within the sample solution, the adhesion rate of the target substance on the surface of the magnetic beads within the sample solution is modeled and estimated to obtain the average adhesion rate of the target substance on the surface of the magnetic beads (i.e., the amount of target substance adhered to the surface of the magnetic beads per unit time). If the average adhesion rate is greater than or equal to a preset adhesion rate threshold, it is determined that the magnetic beads have effectively adsorbed the target substance within the sample solution; otherwise, it is determined that the magnetic beads have not effectively adsorbed the target substance within the sample solution. This allows for accurate determination of whether it is necessary to adjust the magnetic columns applied to the sample solution to change the movement of the magnetic beads within the sample solution (e.g., movement path and / or movement speed). When adjustments to the magnetic column applied to the sample solution are required, the optimal movement path of the magnetic bead within the sample solution is determined based on the distribution information of all target substance enrichment regions. This allows the magnetic column flux and / or direction to be adjusted, enabling the magnetic bead to move along the optimal path at a suitable speed within the sample solution. This ensures the magnetic bead traverses as many target substance enrichment regions as possible and has a sufficiently long residence time within these regions. Furthermore, fluorescence spectroscopy is performed on the magnetic bead surface to obtain the target substance adsorption density information (e.g., the amount of target substance adsorbed per unit area of ​​the magnetic bead surface). Threshold comparisons are then performed on this target substance adsorption density information to determine whether the magnetic bead surface has reached target substance adsorption saturation, providing an accurate basis for determining whether to separate the magnetic bead from the sample solution.

[0100] In another embodiment, the magnetic bead separation and removal control module is used to adjust the magnetic column applied to the sample solution based on the position information of the magnetic bead within the sample solution when it is necessary to separate the magnetic bead from the sample solution, thereby causing the magnetic bead to move along a corresponding path and thus separating the magnetic bead from the sample solution, including:

[0101] When it is necessary to separate the magnetic bead from the sample solution, the separation path of the magnetic bead is determined based on the position information of the magnetic bead in the sample solution and the separation and removal target position information. Based on the separation path, the flux and / or direction of the magnetic column applied to the sample solution are adjusted so that the magnetic bead moves at a constant speed along the separation path, thereby separating the magnetic bead from the sample solution.

[0102] The beneficial effect of the above embodiments is that when it is necessary to separate magnetic beads from the sample solution, it indicates that the current movement path of the magnetic beads within the sample solution needs to be changed, so that the magnetic beads no longer rotate within the sample solution, but move out of the sample solution along a different path. To ensure that the magnetic beads leave the sample solution efficiently and without collision during the separation process, the separation path of the magnetic beads is determined based on the position information of the magnetic beads within the sample solution and the separation and removal target location information; then, based on the separation path, the flux and / or direction of the magnetic column applied to the sample solution are adjusted, so that the magnetic beads move at a uniform speed along the separation path, thereby separating the magnetic beads from the sample solution, providing a sufficient material basis for the subsequent enrichment and purification of the target substances adsorbed on the surface of the magnetic beads.

[0103] In summary, this fully automated sample processing method and system for high-throughput magnetic column processing acquires information on the distribution characteristics of target substances within the sample solution and the movement characteristics of magnetic beads within the sample solution. Based on this information, the magnetic columns applied to the sample solution are adjusted to alter the movement state of the magnetic beads. This fully considers the uneven distribution of target substances within the sample solution, ensuring that the magnetic beads move through target substance-rich areas as much as possible, guaranteeing efficient adhesion of the target substances to the bead surface. Based on the adsorption state information of the target substances on the bead surface, it is determined whether the magnetic beads need to be separated from the sample solution, achieving effective extraction of the target substances. When separation is necessary, the magnetic columns applied to the sample solution are adjusted based on the position information of the magnetic beads within the sample solution, causing the magnetic beads to move along a corresponding path, separating them from the sample solution. This ensures that the magnetic beads can fully adsorb the target substances within the sample solution, maximizing the enrichment of the target substances and improving the purification effect.

[0104] The above is only one specific embodiment of the present invention, and any improvements made based on the concept of the present invention shall be considered within the scope of protection of the present invention.

Claims

1. A fully automated sample processing method for high-throughput magnetic column processing, characterized in that, include: The sample solution is analyzed to obtain the distribution characteristics of the target substances within the sample solution; The motion image of the magnetic beads inside the sample solution is acquired, and the motion image is analyzed to obtain the motion characteristic information of the magnetic beads. Based on the target substance distribution characteristics and motion characteristics, the magnetic column applied to the sample solution is adjusted to change the motion state of the magnetic beads inside the sample solution; the surface of the magnetic beads is detected to obtain the target substance adsorption state information on the surface of the magnetic beads, and based on the target substance adsorption state information, it is determined whether the magnetic beads need to be separated from the sample solution. When it is necessary to separate the magnetic beads from the sample solution, the magnetic column applied to the sample solution is adjusted based on the position information of the magnetic beads inside the sample solution, so that the magnetic beads move along the corresponding path, thereby separating the magnetic beads from the sample solution.

2. The fully automated sample processing method for high-throughput magnetic column processing as described in claim 1, characterized in that: The sample solution is analyzed to obtain the distribution characteristics of the target substances within the sample solution; Acquire motion images of the magnetic beads within the sample solution, analyze the motion images to obtain motion characteristic information of the magnetic beads, including: Fluorescence spectroscopy was performed on the sample solution at several time points to obtain several fluorescence spectral data corresponding one-to-one with the sample solution and the several time points; each fluorescence spectral data was analyzed to obtain the distribution data of the target substance within the sample solution corresponding to each time point; all target substance distribution data corresponding to the several time points were integrated and analyzed to obtain the target substance distribution characteristic information within the sample solution; wherein, the target substance distribution characteristic information refers to the target substance concentration corresponding to each sub-region within the sample solution. The movement of the magnetic bead within the sample solution is dynamically captured to obtain dynamic images of the magnetic bead's movement. These dynamic images are then analyzed to obtain the movement path information of the magnetic bead within the sample solution and the dwell time information of the magnetic bead in each sub-region within the sample solution, which are used as the movement characteristic information of the magnetic bead.

3. The fully automated sample processing method for high-throughput magnetic column processing as described in claim 1, characterized in that: Based on the target substance distribution characteristics and motion characteristics, the magnetic column applied to the sample solution is adjusted to change the motion state of the magnetic beads within the sample solution; the surface of the magnetic beads is detected to obtain the target substance adsorption state information on the surface of the magnetic beads, and based on the target substance adsorption state information, it is determined whether the magnetic beads need to be separated from the sample solution, including: Based on the target substance distribution characteristic information, which includes the target substance concentration in each of the sub-regions within the sample solution, all target substance enrichment sub-regions within the sample solution are determined. Based on the distribution location information of all target substance enrichment sub-regions within the sample solution, and the motion characteristic information, which includes the movement path information of the magnetic beads within the sample solution and the residence time information of the magnetic beads in each sub-region within the sample solution, the adhesion rate of the target substance within the sample solution to the surface of the magnetic beads is estimated. Then, based on the adhesion rate, it is determined whether the magnetic beads effectively adsorb the target substance within the sample solution. If yes, no adjustment is needed to the magnetic column applied to the sample solution; if no, adjustment is needed to the magnetic column applied to the sample solution. When it is necessary to adjust the magnetic column applied to the sample solution, the optimal movement path of the magnetic bead inside the sample solution is determined based on the distribution location information of all target substance enrichment sub-regions; then, based on the optimal movement path, the flux and / or direction of the magnetic column applied to the sample solution are adjusted. Fluorescence spectroscopy is performed on the surface of the magnetic beads to obtain the adsorption density information of the target substance on the surface of the magnetic beads; and based on the adsorption density information of the target substance, it is determined whether the surface of the magnetic beads has reached the adsorption saturation state of the target substance; if yes, it is determined that the magnetic beads need to be separated from the sample solution; if no, it is determined that the magnetic beads do not need to be separated from the sample solution.

4. The fully automated sample processing method for high-throughput magnetic column processing as described in claim 1, characterized in that: When it is necessary to separate the magnetic beads from the sample solution, the magnetic column applied to the sample solution is adjusted based on the position information of the magnetic beads within the sample solution, so that the magnetic beads move along a corresponding path, thereby separating the magnetic beads from the sample solution, including: When it is necessary to separate the magnetic beads from the sample solution, the separation and movement path of the magnetic beads is determined based on the position information of the magnetic beads in the sample solution and the separation and removal target position information. Based on the separation and movement path, the flux and / or direction of the magnetic column applied to the sample solution are adjusted so that the magnetic beads move at a constant speed according to the separation and movement path, thereby separating the magnetic beads from the sample solution.

5. The fully automated sample processing method for high-throughput magnetic column processing as described in claim 4, characterized in that: Adjusting the flux of the magnetic column applied to the sample solution includes: Extract the basic parameters of the magnetic beads, wherein the basic parameters of the magnetic beads include the volume and mass of the magnetic beads; Extract the viscosity of the sample solution in which the magnetic beads are located; Real-time monitoring of the movement speed of magnetic beads in the sample solution; The compensation adjustment coefficient for the magnetic column flux is obtained based on the basic parameters of the magnetic beads, the viscosity of the sample solution in which the magnetic beads are located, and the moving speed of the magnetic beads in the sample solution. The compensation adjustment coefficient for the magnetic column flux is obtained by the following formula: Where δ represents the compensation adjustment coefficient of the magnetic column flux; n represents the number of unit time intervals during which the magnetic column flux adjustment takes place, and the unit time interval is 1 second; v i This represents the moving speed of the magnetic bead in the i-th unit of time; v d Indicates the minimum allowed movement speed of the magnetic bead during the preset movement process; B i B represents the magnetic field strength corresponding to the i-th unit of time of the magnetic bead; c The magnetic field strength corresponds to the minimum allowable movement speed of the magnetic bead during its movement; B represents the current magnetic field strength; V represents the volume of the magnetic bead; m represents the mass of the magnetic bead; X represents the magnetic susceptibility of the magnetic bead; ρ represents the density of the sample solution; η represents the viscosity of the sample solution; R represents the radius of the magnetic bead; and x represents the base of the preset logarithmic function, which is obtained using the following formula: Where x represents the base of the preset logarithmic function; v represents the current moving speed of the magnetic bead; B represents the current magnetic field strength of the magnetic bead; v d Indicates the minimum allowed movement speed of the magnetic bead during the preset movement process; B c This represents the magnetic field strength corresponding to the minimum allowable movement speed of the magnetic bead during its movement; g represents the current rate of change of the magnetic bead's velocity. The current magnetic column flux is adjusted using the compensation adjustment coefficient of the magnetic column flux, wherein the adjusted magnetic column flux is obtained by the following formula: Where P represents the adjusted magnetic flux; δ represents the compensation adjustment coefficient for the magnetic flux; δ c B represents the preset compensation adjustment coefficient reference value; B represents the magnetic field strength of the magnetic bead at the current moment; B x The current time represents the magnetic field strength acquired at the previous data acquisition time; v represents the current moving speed of the magnetic bead; v x The current moment represents the moving speed acquired at the previous data acquisition moment; A represents the area through which the magnetic field lines pass; θ represents the angle between the direction of the magnetic field and the direction of the area normal.

6. A fully automated sample processing system for high-throughput magnetic column processing, characterized in that, include: The sample solution substance distribution identification module is used to detect the sample solution and obtain the target substance distribution characteristic information inside the sample solution; The magnetic bead motion detection module is used to acquire motion images of magnetic beads inside the sample solution, analyze the motion images, and obtain motion characteristic information of the magnetic beads. The magnetic bead motion adjustment module is used to adjust the magnetic column applied to the sample solution based on the target substance distribution characteristic information and the motion characteristic information, thereby changing the motion state of the magnetic bead inside the sample solution; A magnetic bead surface adsorption identification module is used to detect the surface of the magnetic beads, obtain the adsorption state information of the target substance on the surface of the magnetic beads, and determine whether the magnetic beads need to be separated from the sample solution based on the adsorption state information of the target substance. The magnetic bead separation and removal control module is used to adjust the magnetic column applied to the sample solution based on the position information of the magnetic bead inside the sample solution when it is necessary to separate the magnetic bead from the sample solution, so that the magnetic bead moves along a corresponding path and is separated from the sample solution.

7. The fully automated sample processing system for high-throughput magnetic column processing as described in claim 6, characterized in that: The sample solution substance distribution identification module is used to detect the sample solution and obtain the target substance distribution feature information inside the sample solution, including: Fluorescence spectroscopy was performed on the sample solution at several time points to obtain several fluorescence spectral data corresponding one-to-one with the sample solution and the several time points; each fluorescence spectral data was analyzed to obtain the distribution data of the target substance within the sample solution corresponding to each time point; all target substance distribution data corresponding to the several time points were integrated and analyzed to obtain the target substance distribution characteristic information within the sample solution; wherein, the target substance distribution characteristic information refers to the target substance concentration corresponding to each sub-region within the sample solution. The magnetic bead motion detection module is used to acquire motion images of the magnetic beads within the sample solution, analyze the motion images to obtain motion characteristic information of the magnetic beads, including: The movement of the magnetic bead within the sample solution is dynamically captured to obtain dynamic images of the magnetic bead's movement. These dynamic images are then analyzed to obtain the movement path information of the magnetic bead within the sample solution and the dwell time information of the magnetic bead in each sub-region within the sample solution, which are used as the movement characteristic information of the magnetic bead.

8. The fully automated sample processing system for high-throughput magnetic column processing as described in claim 6, characterized in that: The magnetic bead motion adjustment module is used to adjust the magnetic column applied to the sample solution based on the target substance distribution characteristic information and the motion characteristic information, thereby changing the motion state of the magnetic bead within the sample solution, including: Based on the target substance distribution characteristic information, which includes the target substance concentration in each of the sub-regions within the sample solution, all target substance enrichment sub-regions within the sample solution are determined. Based on the distribution location information of all target substance enrichment sub-regions within the sample solution, and the motion characteristic information, which includes the movement path information of the magnetic beads within the sample solution and the residence time information of the magnetic beads in each sub-region within the sample solution, the adhesion rate of the target substance within the sample solution to the surface of the magnetic beads is estimated. Then, based on the adhesion rate, it is determined whether the magnetic beads effectively adsorb the target substance within the sample solution. If yes, no adjustment is needed to the magnetic column applied to the sample solution; if no, adjustment is needed to the magnetic column applied to the sample solution. When it is necessary to adjust the magnetic column applied to the sample solution, the optimal movement path of the magnetic bead inside the sample solution is determined based on the distribution location information of all target substance enrichment sub-regions; then, based on the optimal movement path, the flux and / or direction of the magnetic column applied to the sample solution are adjusted. The magnetic bead surface adsorption recognition module is used to detect the surface of the magnetic beads, obtain the adsorption state information of the target substance on the surface of the magnetic beads, and determine whether the magnetic beads need to be separated from the sample solution based on the adsorption state information of the target substance, including: Fluorescence spectroscopy is performed on the surface of the magnetic beads to obtain the adsorption density information of the target substance on the surface of the magnetic beads; and based on the adsorption density information of the target substance, it is determined whether the surface of the magnetic beads has reached the adsorption saturation state of the target substance; if yes, it is determined that the magnetic beads need to be separated from the sample solution; if no, it is determined that the magnetic beads do not need to be separated from the sample solution.

9. The fully automated sample processing system for high-throughput magnetic column processing as described in claim 6, characterized in that: The magnetic bead separation and removal control module is used to adjust the magnetic column applied to the sample solution based on the position information of the magnetic beads inside the sample solution when it is necessary to separate the magnetic beads from the sample solution, thereby causing the magnetic beads to move along a corresponding path and thus separating the magnetic beads from the sample solution, including: When it is necessary to separate the magnetic beads from the sample solution, the separation and movement path of the magnetic beads is determined based on the position information of the magnetic beads in the sample solution and the separation and removal target position information. Based on the separation and movement path, the flux and / or direction of the magnetic column applied to the sample solution are adjusted so that the magnetic beads move at a constant speed according to the separation and movement path, thereby separating the magnetic beads from the sample solution.

10. The fully automated sample processing system for high-throughput magnetic column processing as described in claim 9, characterized in that: Adjusting the flux of the magnetic column applied to the sample solution includes: Extract the basic parameters of the magnetic beads, wherein the basic parameters of the magnetic beads include the volume and mass of the magnetic beads; Extract the viscosity of the sample solution in which the magnetic beads are located; Real-time monitoring of the movement speed of magnetic beads in the sample solution; The compensation adjustment coefficient for the magnetic column flux is obtained based on the basic parameters of the magnetic beads, the viscosity of the sample solution in which the magnetic beads are located, and the moving speed of the magnetic beads in the sample solution. The compensation adjustment coefficient for the magnetic column flux is obtained by the following formula: Where δ represents the compensation adjustment coefficient of the magnetic column flux; n represents the number of unit time intervals during which the magnetic column flux adjustment takes place, and the unit time interval is 1 second; v i This represents the moving speed of the magnetic bead in the i-th unit of time; v d Indicates the minimum allowed movement speed of the magnetic bead during the preset movement process; B i B represents the magnetic field strength corresponding to the i-th unit of time of the magnetic bead; c The magnetic field strength corresponds to the minimum allowable movement speed of the magnetic bead during its movement; B represents the current magnetic field strength; V represents the volume of the magnetic bead; m represents the mass of the magnetic bead; X represents the magnetic susceptibility of the magnetic bead; ρ represents the density of the sample solution; η represents the viscosity of the sample solution; R represents the radius of the magnetic bead; and x represents the base of the preset logarithmic function, which is obtained using the following formula: Where x represents the base of the preset logarithmic function; v represents the current moving speed of the magnetic bead; B represents the current magnetic field strength of the magnetic bead; v d Indicates the minimum allowed movement speed of the magnetic bead during the preset movement process; B c This represents the magnetic field strength corresponding to the minimum allowable movement speed of the magnetic bead during its movement; g represents the current rate of change of the magnetic bead's velocity. The current magnetic column flux is adjusted using the compensation adjustment coefficient of the magnetic column flux, wherein the adjusted magnetic column flux is obtained by the following formula: Where P represents the adjusted magnetic flux; δ represents the compensation adjustment coefficient for the magnetic flux; δ c B represents the preset compensation adjustment coefficient reference value; B represents the magnetic field strength of the magnetic bead at the current moment; B x The current time represents the magnetic field strength acquired at the previous data acquisition time; v represents the current moving speed of the magnetic bead; v x The current moment represents the moving speed acquired at the previous data acquisition moment; A represents the area through which the magnetic field lines pass; θ represents the angle between the direction of the magnetic field and the direction of the area normal.

Images