DNA sequencing and encryption method based on microfluidic technology

Abstract

The invention discloses a DNA (deoxyribonucleic acid) sequencing and encryption method based on a microfluidic technology, which comprises the following steps: through grey relational degree weight factor analysis and feature sequence analysis based on an ant colony algorithm, optimizing DNA fragments with shorter length and sufficient feature content, and constructing a feature information library; dNA detection is completed through fluorescence coding microspheres and a high-precision fluorescence detection technology, and after microsatellite repetitive sequence analysis is combined, information is stored in a single chip microcomputer; and finally, the information is transmitted to the MCU through the Bluetooth module, and is stored in a decentralized manner through an ECC elliptic curve encryption algorithm and a block chain, so that permanent storage and calling verification of personal identity information are realized. The micro-fluidic chip can be widely applied to the technical field of micro-fluidic chips.

Description

Technical Field

[0001] The present invention relates to the technical field of digital microfluidic chips, and in particular to a DNA sequencing and encryption method based on microfluidic technology. Background Art

[0002] As an ultra-high-strength encryption technology, DNA encryption technology is widely regarded as "one of the technologies that can change the future trend". Its core advantage lies in combining knowledge in the fields of biology and informatics, storing data in DNA molecules, and realizing data encryption and protection through sequence coding. This technology can not only greatly improve the storage density of information, but also has far higher security and durability than traditional encryption methods. It is mainly applied in scenarios such as information security and encryption, bioinformatics management, data storage, anti-counterfeiting and copyright protection.

[0003] At present, DNA information encryption technology has not been widely popularized in life, mainly due to the large amount of DNA sequencing and encrypted information and the slow DNA detection process. For DNA sequencing and encryption, based on the double helix structure characteristics of DNA and the base complementary pairing principle, the most widely used DNA sequencing method is whole sequence analysis. It requires a large storage space and a long natural DNA key length, resulting in a long time (up to several weeks to a month) and a large consumption of resources. Summary of the Invention

[0004] In view of this, in order to solve the problem of the difficulty in implementing existing DNA information encryption technology in practical applications, the present invention proposes a DNA sequencing and encryption method based on microfluidic technology, and the method includes the following steps:

[0005] Select corresponding DNA fragments and initially establish an entity sequence library;

[0006] Specifically, the entity sequence library is a plurality of DNA characteristic fragments with a large number of characteristics and sufficient information content initially selected from a human characteristic library, a personal characteristic library, and a blood characteristic protein library.

[0007] Set corresponding reference factors and digitize the entity sequence library to obtain a virtual database;

[0008] Specifically, in the process of digitizing the entity sequence library, it is necessary to first make an equivalent digital hypothesis for the fragment factors therein. By numbering specific positions, the information in the human characteristic library, personal characteristic library, and blood characteristic protein library in the entity sequence library can be accurately digitized, and finally the corresponding virtual database is obtained. The numbering order and sequence sorting therein represent the characteristic information in the original entity sequence library.

[0009] Perform grey relational degree weight factor analysis on the information in the virtual database to obtain the weight factor of each sub-database relative to the whole, and then combine the local weight factors to analyze and obtain the computing power weight library;

[0010] Specifically, for the digitized virtual database, perform mean value normalization, initial value normalization, standardization, and extreme value normalization, calculate multiple grey relational degree influence coefficients correspondingly, take the mean of the correlation coefficients as a whole to obtain the grey relational degree, and sort correspondingly to obtain the influence degree of the weight factors of the final three sub-databases. According to the obtained influence degree of the weight factors, combined with the weight of each segment in the sub-database, allocate computing power to the corresponding sub-database to form a computing power weight library.

[0011] Perform recursive operations of the ant colony algorithm on the computing power weight library, set boundary conditions and update pheromones according to actual conditions, consider the number of recursions, and analyze to obtain the optimal DNA feature segments;

[0012] Specifically, for the computing power weight library, comprehensively consider various influencing factors and transform them into ant colony pheromone constraints, and then perform feature sequence analysis of the ant colony algorithm on it to correspondingly obtain a feature sequence library containing the most sufficient information content and appropriate length in the three sub-databases.

[0013] Construct a feature information library according to the optimal DNA feature segments;

[0014] Flow the blood sample to be tested into the microfluidic chip, and it will be evenly distributed into four chambers due to the dendritic flow channel design;

[0015] After the blood sample to be tested is lysed in the chamber, it is mixed with fluorescently encoded microspheres;

[0016] Specifically, blood cells enter the lysis and mixing chamber in the microfluidic channel, are lysed with the pre-buried lysis solution and then mixed with the fluorescently encoded microsphere group to display the user's individual information.

[0017] The mixed sample enters the inertial focusing channel in sequence, and it uses centrifugal force to change the microspheres from multi-arrangement to single-arrangement to improve the accuracy of high-precision fluorescence detection technology;

[0018] Next, after the mixed sample flows into the fluorescence detection area, the laser emitter irradiates the fluorescently encoded microspheres; after being reflected by the reflector, the light is decomposed into four-color light by the filter; the detector receives the optical signal, amplifies it through the amplifier, and the signal converter converts it into a digital signal;

[0019] According to the microsatellite repeat sequence analysis, process the digital signal, and the single-chip microcomputer analyzes the position and fragment ratio images to obtain the detection information;

[0020] Perform ECC elliptic curve encryption and blockchain permanent storage on the detection information;

[0021] Compare the real-time user sample with the detection information. If the comparison result is within the error range, the verification is successful; otherwise, it fails.

[0022] Based on the above solution, the present invention provides a DNA sequencing and encryption method based on microfluidic technology, which uses grey relational degree weight factor analysis and ant colony algorithm to efficiently construct a feature information library, and accurately obtains the frequency ratio and user personal characteristics through microsatellite repeat sequence analysis technology combined with fluorescence-encoded microspheres and high-precision fluorescence detection. The system takes the microfluidic chip as the core to realize the rapid collection, multiple measurements and accurate analysis of blood DNA, while reducing sequencing errors and improving detection efficiency. Through optimized feature extraction and data structure design, it greatly shortens the sequencing and encryption time, takes into account both accuracy and portability, and is suitable for multi-scenario efficient identity verification and precise medical needs. Brief Description of the Drawings

[0023] Figure 1 is the step flowchart of a DNA sequencing and encryption method based on microfluidic technology of the present invention;

[0024] Figure 2 is the schematic diagram of the process of constructing a feature information library in a specific embodiment of the present invention;

[0025] Figure 3 is the entity rendering of the microneedle in a specific embodiment of the present invention;

[0026] Figure 4 is the top view structure diagram of the digital microfluidic chip in a specific embodiment of the present invention;

[0027] Figure 5 is the entity rendering of the microfluidic chip in a specific embodiment of the present invention;

[0028] Figure 6 is the detection schematic diagram of the fluorescence detection technology in a specific example of the present invention;

[0029] Figure 7 is the perspective view of the device for implementing the method of the present invention;

[0030] Figure 8 is the top view of the device for implementing the method of the present invention;

[0031] Figure 9 is the entity rendering of the device for implementing the method of the present invention. Detailed Embodiments

[0032] Next, the technical solutions in the embodiments of the present application will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present application.

[0033] It should be noted that for the convenience of description, only the parts related to the relevant invention are shown in the accompanying drawings. Without conflict, the embodiments in the present application and the features in the embodiments can be combined with each other.

[0034] It should be understood that the "system", "device", "unit" and / or "module" used in the present application is a method for distinguishing different components, elements, parts, portions or assemblies at different levels. However, if other words can achieve the same purpose, the word can be replaced by other expressions.

[0035] As shown in the present application and the claims, unless the context clearly indicates an exception, words such as "a", "an", "one" and / or "the" are not specifically singular, but may also include the plural. Generally speaking, the terms "comprising" and "including" only indicate the inclusion of the clearly identified steps and elements, and these steps and elements do not constitute an exclusive list. The method or device may also include other steps or elements. An element defined by the statement "comprising one..." does not exclude the existence of another identical element in the process, method, commodity or device including the element.

[0036] In the description of the embodiments of the present application, "a plurality" means two or more than two. The following terms "first" and "second" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly indicating the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include one or more of such features.

[0037] In addition, flowcharts are used in the present application to illustrate the operations performed by the system according to the embodiments of the present application. It should be understood that the operations before or after do not necessarily need to be executed precisely in sequence. On the contrary, the steps can be processed in reverse order or simultaneously. At the same time, other operations can also be added to these processes, or one or several steps can be removed from these processes.

[0038] Referring to Figure 1 , which is a schematic flowchart of an optional example of the DNA sequencing and encryption method based on microfluidic technology proposed by the present invention. This method can be applied to a computer device. The DNA sequencing and encryption method proposed in this embodiment may include but is not limited to the following steps:

[0039] S1. DNA sequencing.

[0040] Step S1.1: Select corresponding DNA fragments into the human characteristic library, personal characteristic library, and blood characteristic protein library, and initially establish an entity sequence library.

[0041] Step S1.2: Assume the corresponding reference factors in the three sub-libraries, digitize the entity sequence library, and correspondingly obtain a virtual database.

[0042] Step S1.3: Conduct a grey relational degree weight factor analysis on the information in the virtual database to obtain the weight factor of each sub-library relative to the whole, and then combine the weight factor of each fragment relative to the local to analyze and obtain a computing power weight library.

[0043] Step S1.4: Conduct a recursive operation of the ant colony algorithm on the computing power weight library, set boundary conditions and update pheromones according to actual conditions, consider the number of recursive times, and analyze and obtain the optimized DNA characteristic fragments.

[0044] Step S1.5: Organize the optimized DNA characteristic fragments to form a DNA characteristic sequence library, which is the source of the DNA complementary sequence fragments of the pre-embedded microsphere group in the microfluidic chip.

[0045] S2. DNA detection.

[0046] Step S2.1: Obtain a user's blood sample, flow the blood sample into the microfluidic chip, and evenly distribute it into four chambers due to the dendritic flow channel design.

[0047] Specifically, four consecutive blood samplings can be performed through a microneedle to reduce the measurement and detection error and ensure the accuracy of user information entry. The enlarged schematic diagram of the microneedle is referred to Figure 3 .

[0048] Step S2.2: After the blood sample is lysed in the chamber, it is mixed with fluorescently encoded microspheres; the linear change in the chamber volume controls the outflow time difference for multiple detections with less impact to reduce the detection error value.

[0049] Step S2.3: The blood sample sequentially enters the inertial focusing flow channel, which uses centrifugal force to change the microspheres from multi-arrangement to single-arrangement to improve the accuracy of fluorescence detection technology.

[0050] Step S2.4: After the blood sample flows into the fluorescence detection area, the laser emitter irradiates the fluorescently encoded microspheres; after being reflected by the mirror, the light is decomposed into four-color light by the filter; the detector receives the optical signal, amplifies it through the amplifier, and the signal converter converts it into a digital signal and then transmits it to the single-chip microcomputer for processing.

[0051] Specifically, this high-precision fluorescence detection technology is carried by an optical path system, which specifically includes: a laser emitter, a reflector, a filter, a detector, an amplifier, and a signal converter. The overall structure is as shown in Figure 6 shown.

[0052] Step S2.5: According to the microsatellite repeat sequence analysis, the single-chip microcomputer analyzes the position and fragment ratio images and obtains the biological password, and transmits it to the MCU through the Bluetooth module for encryption processing;

[0053] S3. DNA Encryption

[0054] Step S3.1: The MCU performs ECC elliptic curve encryption and blockchain permanent storage on the input information to verify the corresponding information of the user;

[0055] Step S3.2: When verifying the user information, the user takes blood again with a microneedle, and the system automatically calls the recorded information for comparison. If the comparison result is within the error range, the verification is successful; otherwise, it fails.

[0056] In some feasible embodiments, step S1.1 specifically includes:

[0057] The preliminary selected human feature library, personal feature library, and blood characteristic protein library respectively correspond to different usage purposes: the human feature library is constructed based on the DNA fragments shared by humans and is used to determine whether the detection object has human features, which is the first screening criterion for distinguishing human and non-human samples; the personal feature library is based on the differences in the frequency of DNA positions among individuals and is used to compare and distinguish the personal information of users to achieve the uniqueness of stored information; the blood characteristic protein library mainly considers the issue of anti-counterfeiting and only selects unique DNA sequence fragments in the blood to distinguish from other body fluids, ensuring the only interface for verification.

[0058] In some feasible embodiments, step S1.2 specifically includes:

[0059] For the digitization of the sequence fragments and the selection of reference factors, the present invention uses the numbers 1, 2, 3, and 4 to replace the four basic base pairs in the sequence: 1 - A (adenine), 2 - T (thymine), 3 - G (guanine), 4 - C (cytosine), and uses FOXP2 (language control gene), HLA (leukocyte antigen gene), and ABO (blood type gene) as the reference factors for the human feature library, personal feature library, and blood characteristic protein library respectively, which is helpful for the comparison and weight calculation of the grey relational degree weight factors.

[0060] The specific manifestation form is as follows:

[0061] Define the mapping relationship between bases and numbers:

[0062] Base-to-Digit: A = 1, T = 2, G = 3, C = 4

[0063] Assume the DNA fragment is S = [b1, b2,..., b n , where b i represents the i-th base. Its digital sequence is:

[0064] D = [d1, d2,..., d n ,

[0065] Select the gene sequences FOXP2, HLA, and ABO as the reference factors for the three types of feature libraries, representing the most weighted comparison factors in the language feature gene library, personal feature library, and blood feature protein library respectively. Assume the digital sequences corresponding to these genes are:

[0066] D FOXP2 , D HLA , D ABO

[0067] Their digital sequences are calculated according to the base mapping rule, and the reference factor of each gene can be expressed as:

[0068] D ref = [d1, d2,..., d m

[0069] In some feasible embodiments, step S1.3 specifically includes:

[0070] Assume the target sequence is digitized as D target = [d'1, d'2,..., d' n , and calculate the correlation between the target sequence and the reference factor through the grey relational grade:

[0071] Calculate the absolute difference sequence between the target sequence and the reference factor:

[0072] Δ ij = |d' i - d j |

[0073] where i = 1, 2,..., n; j = 1, 2,..., m.

[0074] To eliminate the influence of dimension, normalize the difference sequence:

[0075]

[0076] where ρ is the resolution coefficient, usually taking the value 0 < ρ ≤ 1.

[0077] Calculate the target sequence D targetDegree of association with reference factor D ref :

[0078]

[0079] where γ ij represents the grey relational degree of D target with reference factor D ref .

[0080] The above process has calculated γ FOXP2 , γ HLA and γ ABO through the grey relational degree formula, which respectively represent the degrees of association between the target sequence D target and each reference sub-library. The weight ratios between the sub-libraries are then normalized based on these degrees of association.

[0081] Let be the sum of the grey relational degrees of all sub-libraries.

[0082] Correspondingly, normalize the grey relational degree of each sub-library:

[0083]

[0084] This weight reflects the relative importance of sub-library j in the analysis of the entire target sequence.

[0085] (Computing power weight allocation) Allocate the overall computing power resources according to the sub-library weight factors obtained from the weight factor analysis to limit the upper limit of the computing power of the sub-library and provide a basis for the screening of feature segments within the sub-library.

[0086] Assume the overall computing power resource is C total

[0087] Then the computing power allocated to sub-library j is

[0088] In addition, the fragment optimization of sub-library j must satisfy:

[0089]

[0090] c i,j is the computing power requirement of fragment i within the sub-library.

[0091] In some feasible embodiments, step S1.4 specifically includes:

[0092] Assume that for any fragment x in each library i,j , the corresponding local weight factor is a i,j (reflecting the importance of this fragment in the corresponding library).

[0093] Since there is a computing power weight library Cj Due to its existence, initial pheromone can be allocated by combining it with the local weight factor of the fragment, accelerating the convergence of addition and making it easier for fragments with high weights to be preferentially selected.

[0094] For each fragment x i,j , the initial pheromone is:

[0095]

[0096] Combined with the heuristic function η i,j to improve the rationality of path selection:

[0097]

[0098] where θ represents the preference for shorter fragments, and the overall function can select key fragments, enhancing the characteristic and overall effectiveness in path construction.

[0099] Define the fragment set as S = {x i,j}, then each ant starts from the starting node and selects a path with probability:

[0100]

[0101] where α and β represent the importance weights of pheromone and the heuristic function respectively, and are calculated by artificially specified values.

[0102] Evaluate the paths completed by the ants and calculate the corresponding objective function value:

[0103]

[0104] where I i,j , V i,j , D i,j , F i,j , L i,j , R i,j represent the biological information content, variability, detection adaptability, functional relevance, length, and redundancy of the corresponding fragments respectively. Equation is the limiting relationship of the boundary conditions, controlling the path result sequence obtained by this algorithm to be short and rich in characteristic information.

[0105] Update the pheromone according to the path evaluation result:

[0106] τ i,j (t) = (1 - ρ)·τ i,j (t - 1) + Δτ i,j (t)

[0107] where ρ is the evaporation factor, usually set between 0.1 ≤ ρ ≤ 0.5.

[0108] Finally, it is determined whether to terminate according to the number of iterations or the convergence of the objective function, and the globally optimal path, that is, the feature sequence library S', is output accordingly.

[0109] In some feasible embodiments, step S2.1 specifically includes:

[0110] Assume that after the blood sample enters the microfluidic chip, it can be evenly distributed into four chambers:

[0111] Q = Q1 + Q2 + Q3 + Q4

[0112] Q represents the total flow rate entering the main channel, and Q1, Q2, Q3, and Q4 represent the flow rate magnitudes allocated to the four chambers.

[0113] By adjusting the channel radius r and length L, equal fluid resistance is achieved for each branch channel:

[0114]

[0115] R and μ respectively represent the resistance of the channel and the viscosity of the blood.

[0116] After adjustment, the blood sample volumes allocated to the four chambers are approximately considered equal.

[0117] The data flow direction of this step S1.2 refers to Figure 2 ;

[0118] In some feasible embodiments, the microfluidic chip includes a dendritic channel, a mixing chamber, a pre-buried group, and an inertial focusing channel, and its overall structure refers to Figure 4 , and its rendering diagram refers to Figure 5 .

[0119] In some feasible embodiments, step S2.2 specifically includes:

[0120] To reduce the error of the technology, it is necessary to control the chamber width for mixed outflow, and the outflow time difference is mainly determined by the volume of the chamber:

[0121]

[0122] Δt i,j 、V i 、V j 、Q' respectively represent the outflow time difference between chambers i and j, the volume of chamber i, the volume of chamber j, and the flow rate at the chamber outlet (assuming the outlet flow rates of the chambers are the same).

[0123] If the chamber width gradually increases, the volume increases linearly:

[0124] V n = V0 + n·ΔV

[0125] V n , V0, and ΔV respectively represent the volume of the nth chamber, the volume of the narrowest chamber, and the volume difference between adjacent chambers.

[0126] If a fixed time difference T is required, the volume difference satisfies:

[0127] ΔV = Q·T

[0128] In some feasible embodiments, step S2.3 specifically includes:

[0129] After inertial focusing, ensure that the fluorescence-encoded microspheres transition from a multi-row arrangement to a single-row arrangement, facilitating high-precision detection:

[0130]

[0131] The derived formulas are respectively the inertial focusing characteristics and characteristic dimensions of the flow channel, which respectively reflect the basic principle of inertial focusing and the control conditions of characteristic dimensions:

[0132] F c , ρ, v 2 , D respectively represent the magnitude of the centrifugal force suffered in inertial focusing, the density of the fluorescent microspheres, the flow velocity of the microspheres, and the diameter of the inertial focusing flow channel; D0, h, Re respectively represent the width of the focusing region, the height of the flow channel, and the Reynolds number (the ratio of flow inertia to viscosity).

[0133] In some feasible embodiments, step S2.4 specifically includes:

[0134] Since a characteristic sequence library S' is obtained in DNA sequencing, the corresponding information sequence of the fluorescence-encoded microsphere group is a specific fragment that is preferentially produced, and the difference lies in the frequency difference of the positions of the specific fragment among users.

[0135] Suppose there are M fluorescence-encoded microsphere groups and N DNA position fragments are detected. The detection result of each fragment can be expressed as:

[0136]

[0137] respectively represent the frequency proportion of fragment i appearing in microsphere group j, the number of detections of fragment i in microsphere group j, and the total number of detections of fragment i by all microsphere groups.

[0138] For each fragment, calculate its average appearance frequency and error range:

[0139]

[0140] ε irespectively represent the average occurrence frequency of fragment i and the standard error range of the frequency of fragment i.

[0141] The normalized frequency is expressed as:

[0142]

[0143] For the normalized fragment frequency f i ', a fixed error range δ is set to ensure stability. The biological password encoding of the fragment can be expressed as:

[0144]

[0145] where b i represents the biological password value of fragment i, and round() represents the rounding function.

[0146] Connect the biological password values {b1, b2,..., b N} of all fragments into a sequence B as the biological password of an individual:

[0147] B = [b1, b2,..., b N

[0148] This solution also constructs a device applied to the above method, and its overall structure refers to Figure 7 and Figure 8 , and the actual rendering diagram refers to Figure 9 .

[0149] A DNA sequencing and encryption system based on microfluidic technology includes:

[0150] A database construction unit for performing DNA sequencing steps;

[0151] A detection unit for performing DNA detection steps;

[0152] An encryption unit for performing DNA encryption steps.

[0153] The content in the above method embodiments is applicable to the system embodiments of this system. The functions specifically implemented by the system embodiments of this system are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those of the above method embodiments.

[0154] A storage medium stores instructions executable by a processor, and the instructions executable by the processor are used to implement a DNA sequencing and encryption method based on microfluidic technology as described above when executed by the processor.

[0155] ​The content in the above method embodiments is applicable to the present storage medium embodiment. The functions specifically implemented in the present storage medium embodiment are the same as those in the above method embodiments, and the beneficial effects achieved are also the same as those in the above method embodiments.

[0156] The above is a specific description of the preferred embodiments of the present invention. However, the present invention is not limited to the described embodiments. Those skilled in the art can make various equivalent deformations or substitutions without departing from the spirit of the present invention. These equivalent deformations or substitutions are all included within the scope defined by the claims of this application.

Claims

1. A DNA sequencing and encryption method based on microfluidics technology, characterized in that: The following steps are involved: Select DNA fragments and build a physical sequence library; The entity sequence library is digitized and subjected to grey relational weight factor analysis to construct a feature information library; Based on the feature information library, the sample to be tested is flowed into the microfluidic chip, and DNA detection is completed through fluorescent coding microspheres and microsatellite repeat sequence analysis to obtain detection information; The detection information is decentralized stored with the blockchain through the ECC elliptic curve encryption algorithm.

2. According to claim 1, a DNA sequencing and encryption method based on microfluidics technology, characterized in that: The step of digitizing the entity sequence library and performing grey relational weight factor analysis to construct a feature information library specifically includes: Setting reference factors and digitizing the entity sequence library to obtain a virtual database; Performing grey relational weight factor analysis on the information in the virtual database, combining the overall weight factor and the local weight factor to obtain a computing power weight library; The computing power weight library is recursively operated by an ant colony algorithm, and is screened in combination with preset conditions to obtain an optimal DNA feature fragment; The preferred DNA characteristic fragments are sorted to obtain a characteristic information library.

3. The DNA sequencing and encryption method based on microfluidics technology according to claim 2, characterized in that: The formula of grey relational weight factor analysis is as follows: D ij =|d' i -d j | Among them, γ ij represents the grey correlation between the target sequence and the reference factor, n represents the total number of target sequences, i represents the sequence number of the target sequence, ρ represents the resolution coefficient, d' i represents the i-th target sequence, d j represents the jth reference factor.

4. The DNA sequencing and encryption method based on microfluidics technology according to claim 4, characterized in that: The microfluidic chip comprises a tree-like flow channel, a mixing chamber, a pre-embedded group and an inertial focusing flow channel. The pre-embedded group is placed in the mixing chamber and comprises a fission fluid and fluorescent coding microspheres.

5. According to claim 2, a DNA sequencing and encryption method based on microfluidics technology, characterized in that: The step of flowing the sample to be tested into the microfluidic chip based on the feature information library, completing DNA detection through fluorescent coded microspheres and microsatellite repeat sequence analysis to obtain detection information specifically includes: The sample to be tested flows into the microfluidic chip and is evenly distributed to the mixing chamber; The sample to be tested is lysed in the mixing chamber and mixed with the fluorescent coded microspheres to obtain a mixed sample; The mixed samples enter the inertial focusing flow channel in sequence, and the microspheres are transformed from a multiple arrangement to a single arrangement through centrifugal action; The mixed sample flows into the fluorescence detection area, the fluorescent coded microspheres are irradiated by the laser transmitter, and the received light signal is converted into a digital signal; Based on the digital signal and the feature information library, according to the microsatellite repeat sequence analysis, the single chip microcomputer analyzes the point position and fragment ratio image to obtain the detection information.

6. The DNA sequencing and encryption method based on microfluidics technology according to claim 5, characterized in that: The mixed sample flows into the fluorescence detection area, the fluorescent coded microspheres are irradiated by the laser transmitter, and the received light signal is converted into a digital signal. This process specifically includes: The mixed sample flows into the fluorescence detection area; When the fluorescent coded microsphere passes through the set area, the laser emitter emits laser light to irradiate the fluorescent coded microsphere, and uses a reflector to direct the light toward the filter; The filter filters out the color corresponding to each color light, and the detector detects the intensity of each color light and converts it into a digital signal.

7. The DNA sequencing and encryption method based on microfluidics technology according to claim 1, characterized in that: Also includes: The real-time sample is compared with the detection information.

8. A DNA sequencing and encryption system based on microfluidics technology, characterized in that: include: A database construction unit is used to select DNA fragments and establish an entity sequence library; digitize the entity sequence library and perform grey relational weight factor analysis to construct a feature information library; The detection unit, based on the feature information library, flows the sample to be tested into the microfluidic chip, and completes DNA detection through fluorescent coding microspheres and microsatellite repeat sequence analysis to obtain detection information; The encryption unit is used to decentrally store the detection information with the blockchain through the ECC elliptic curve encryption algorithm.

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