Quantization enhanced portable monitoring equipment and monitoring method for household tumor markers

Abstract

The invention discloses quantized enhanced portable monitoring equipment for household tumor markers and a monitoring method. The quantized enhanced portable monitoring equipment comprises a micro-needle array, a micro-needle probe array, a micro-needle probe array, a micro-needle probe array and a micro-needle probe array, the hydrogel quantum dot labeling reagent is used for releasing a quantum dot marker after being in contact with the collected sample; the quantum sensor array is used for emitting exciting light with a specific wavelength to irradiate the tumor marker marked by the quantum dots, converting a fluorescent light signal into an electric signal and transmitting the electric signal to the microprocessor for data processing; the data transmission unit is used for transmitting the detection result data obtained by the microprocessor to a mobile terminal; the mobile terminal is used for receiving the detection result data transmitted by the data transmission module, analyzing the data and displaying and early warning the detection result; and the microprocessor is respectively connected with the quantum sensor array, the data transmission unit and the mobile terminal. The equipment provided by the invention is suitable for household long-term health monitoring, automatic detection after acquisition, result transmission and early warning display, and is convenient for household operation.

Description

Technical Field

[0001] The present invention relates to a portable home tumor marker monitoring device, belonging to the field of medical detection equipment. Background Art

[0002] At present, the incidence of tumors in China is increasing year by year. Cancer has become one of the major diseases that seriously threatens the health of the nation. Early screening is crucial to improving the cure rate of tumors and the survival rate of patients. However, the existing early screening methods for tumors have many limitations. Traditional hospital testing relies on large-scale professional equipment and complex processes. Patients need to go to the hospital for treatment, which takes time and energy. Inconvenience in seeking medical treatment may cause some patients to delay screening. Although early screening test strips are convenient to a certain extent, their detection accuracy is limited. They are mostly qualitative or semi-quantitative tests with insufficient sensitivity and specificity. They can only detect a few markers and are easily interfered with, and cannot provide a comprehensive and accurate health assessment. Summary of the invention

[0003] The technical problem to be solved by the present invention is: a tumor marker monitoring device and a monitoring method suitable for home use are needed.

[0004] In order to solve the above technical problems, the present invention provides a quantized enhanced portable home tumor marker monitoring device, comprising:

[0005] Microneedle array: used to collect samples of various body fluids;

[0006] Hydrogel quantum dot labeling reagent: releases quantum dot labels after contacting the collected sample;

[0007] Quantum sensor array: emits excitation light of a specific wavelength to illuminate the tumor markers marked with quantum dots, converts the fluorescent light signal into an electrical signal, and transmits the electrical signal to a microprocessor for data processing;

[0008] Data transmission unit: transmits the detection result data obtained by the microprocessor to the mobile terminal;

[0009] Mobile terminal: receives the test result data from the data transmission module, analyzes the data, and displays and warns the test results;

[0010] Microprocessor: connected to the quantum sensor array, data transmission unit, and mobile terminal respectively, including the following functional modules:

[0011] Microneedle monitoring module: real-time monitoring of the depth, angle, hydrogel swelling degree and release state of quantum dot markers of the microneedles to determine whether the parameters of the sample meet the requirements;

[0012] Data signal processing module: post-processes the electrical signal converted by the quantum sensor array using a preset algorithm to improve the signal quality;

[0013] Mathematical model building module: Establish a mathematical model between fluorescence intensity and tumor marker concentration, and use the established mathematical model to reversely infer the concentration of tumor markers in the sample based on the detected electrical signal intensity.

[0014] In the aforementioned quantized enhanced portable home tumor marker monitoring device, the microprocessor further comprises:

[0015] Correlation calculation module: analyze the correlation between multiple tumor markers and calculate the correlation coefficient between different tumor markers;

[0016] Signal transmission control module: used to control the transmission process of the data transmission unit, monitor the network status in real time according to the network signal strength and packet loss rate, and automatically adjust the transmission parameters if the signal strength is lower than the set value or the packet loss rate is higher than the set value;

[0017] The aforementioned quantum enhanced portable home tumor marker monitoring device also includes a cleaning unit: an ultrasonic cleaning device is used to clean the hardware device consisting of the microneedle array, quantum sensor array, data transmission unit and microprocessor.

[0018] The aforementioned quantized enhanced portable home tumor marker monitoring device, wherein the microneedle array has 120 microneedles / cm² and the microneedle length is 0.3 mm.

[0019] A monitoring method of a quantized enhanced home tumor marker portable monitoring device comprises the following steps:

[0020] Step A, collecting a variety of body fluid samples using a microneedle array, contacting the samples with a hydrogel quantum dot labeling reagent system, and releasing quantum dot labels;

[0021] Step B, using a quantum sensor array to irradiate a quantum dot-labeled tumor marker, the quantum dot-labeled tumor marker generates a fluorescent light signal after being irradiated with the excitation light, the quantum sensor array converts the fluorescent light signal into an electrical signal, and the microprocessor then post-processes the electrical signal and calculates the concentration of the tumor marker in the sample;

[0022] Step C, transmitting the detection result data calculated by the microprocessor to the mobile terminal;

[0023] Step D: After receiving the detection result data from the data transmission module, the mobile terminal analyzes and processes the data and displays the detection result.

[0024] The aforementioned monitoring method of a quantized enhanced portable home tumor marker monitoring device comprises, in step A:

[0025] Step A1: The microneedle array contacts blood, and the polyacrylamide-acrylic acid copolymer hydrogel in the hydrogel quantum dot labeling reagent system begins to swell due to contact with body fluids, releasing quantum dot markers, and the quantum dot markers specifically bind to tumor markers in the body fluids under the action of the microneedle array, and then proceed to step A2;

[0026] Step A2: Use a microprocessor to monitor the depth, angle, hydrogel swelling degree and release state of the quantum dot marker of the microneedle in real time. When the microprocessor determines that the sample collection is completed and all parameters meet the requirements, the collected labeled sample is sent to the detection and analysis unit B.

[0027] The aforementioned monitoring method of a quantized enhanced portable home tumor marker monitoring device comprises, in step B:

[0028] Step B1: After the sample enters the detection and analysis unit, the ultra-sensitive quantum sensor array starts to work, emitting excitation light of a specific wavelength of 600-800nm ​​to irradiate the tumor markers labeled with quantum dots. Based on the photoelectric conversion characteristics of quantum dots, the tumor markers labeled with quantum dots generate fluorescent light signals after being irradiated with the excitation light. The quantum sensor array converts the fluorescent light signals into electrical signals, and then enters step B2;

[0029] Step B2: The microprocessor processes the converted electrical signal using a preset algorithm, including: using wavelet transform to reduce noise on the electrical signal; then performing smoothing processing, and entering step B3;

[0030] Step B3: Establish a mathematical model between fluorescence intensity and tumor marker concentration; determine the parameters in the model by using data obtained from experiments with tumor marker standards of known concentrations in advance; in actual testing, use the established mathematical model to reversely infer the concentration of tumor markers in the sample based on the detected electrical signal intensity.

[0031] The aforementioned monitoring method of a quantized enhanced portable home tumor marker monitoring device uses a linear regression method or a polynomial fitting method to establish a mathematical model between fluorescence intensity and tumor marker concentration.

[0032] The aforementioned monitoring method of a quantized enhanced portable home tumor marker monitoring device further includes:

[0033] Step B4: Analyze the correlation between multiple tumor markers and calculate the correlation coefficient between different tumor markers.

[0034] The aforementioned monitoring method of a quantized enhanced portable home tumor marker monitoring device,

[0035] In step C, the microprocessor monitors the network status in real time based on the network signal strength and packet loss rate. If it is found that the signal strength is lower than the set value or the packet loss rate is higher than the set value, the microprocessor automatically adjusts the transmission parameters.

[0036] The beneficial effects achieved by the present invention are as follows: the quantized enhanced portable home tumor marker monitoring device of the present invention has various units working in coordination, starting from sample collection, through detection and analysis, data transmission, and finally displaying the results on a mobile terminal and issuing an early warning. After the user starts sample collection, the subsequent process is automatically completed, and the sampling is painless, which is suitable for long-term health monitoring at home. After collection, the results are automatically detected, transmitted, and an early warning is displayed, which is convenient for home operation.

[0037] The quantized enhanced portable home tumor marker monitoring device of the present invention can simultaneously detect multiple common tumor markers such as CEA, AFP, PSA, etc. The principle is that when the microneedle array in the sample collection module collects body fluid samples, the hydrogel quantum dot labeling reagent system releases quantum dot markers that specifically bind to tumor markers; the ultra-sensitive quantum sensor array detects the light signal generated by the tumor marker combined with the quantum dot marker, and the high-performance microprocessor processes multiple marker signals simultaneously through wavelet transform noise reduction, machine learning algorithm recognition and classification, and calculation of concentration by combining standard curve method and multivariate linear regression analysis, and risk assessment based on multiple factors, and comprehensively analyzes their concentrations, changing trends, individual differences, etc., accurately calculates concentrations and assesses risk levels, thereby providing a basis for comprehensive health assessment. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 is a schematic diagram of a process for implementing monitoring by the portable device for monitoring tumor markers in Example 1 of the present invention;

[0039] Figure 2 It is a schematic diagram of the interaction between the self-test paper, the portable monitoring device and the user terminal in Embodiment 1 of the present invention. DETAILED DESCRIPTION

[0040] The following describes the embodiments of the present invention in detail in conjunction with the accompanying drawings, but the present invention is not limited to the above embodiments, and various changes can be made within the knowledge scope of ordinary technicians in this field without departing from the purpose of the present invention.

[0041] Example 1

[0042] This embodiment provides a quantized enhanced portable home tumor marker monitoring device, including:

[0043] Microneedle array, used for painless collection of various body fluid samples, the microneedle array has 120 microneedles / cm², the microneedle length is 0.3mm, and the microneedle material is medical grade stainless steel;

[0044] A hydrogel quantum dot labeling reagent that releases quantum dot labels after contacting the collected sample;

[0045] Quantum sensor array: emits excitation light of a specific wavelength to illuminate the tumor markers marked with quantum dots, converts the fluorescent light signal into an electrical signal, and transmits the electrical signal to a microprocessor for data processing;

[0046] A data transmission unit, which transmits the detection result data obtained by the microprocessor to the mobile terminal;

[0047] The mobile terminal receives the test result data from the data transmission module, analyzes the data, and displays and warns the test results;

[0048] The microprocessor is connected to the quantum sensor array, the data transmission unit, and the mobile terminal, respectively, and includes the following functional modules:

[0049] Microneedle monitoring module: real-time monitoring of the depth, angle, hydrogel swelling degree and release state of quantum dot markers of the microneedles to determine whether the parameters of the sample meet the requirements;

[0050] Data signal processing module: post-processes the electrical signal converted by the quantum sensor array using a preset algorithm to improve the signal quality;

[0051] Mathematical model building module: establish a mathematical model between fluorescence intensity and tumor marker concentration, and use the established mathematical model to reversely infer the concentration of tumor markers in the sample based on the detected electrical signal intensity;

[0052] Correlation calculation module: analyze the correlation between multiple tumor markers and calculate the correlation coefficient between different tumor markers;

[0053] Signal transmission control module: used to control the transmission process of the data transmission unit, monitor the network status in real time according to the network signal strength and packet loss rate, and automatically adjust the transmission parameters if the signal strength is lower than the set value or the packet loss rate is higher than the set value;

[0054] It also includes a cleaning unit, which uses an ultrasonic cleaning device to clean the hardware equipment consisting of a microneedle array, a quantum sensor array, a data transmission unit and a microprocessor.

[0055] At the same time, this embodiment provides a monitoring method for a quantized enhanced home tumor marker portable monitoring device, starting from sample collection, through detection and analysis, data transmission, and finally displaying the results on a mobile terminal and issuing an early warning. The cleaning module is used for equipment maintenance and cleaning. Each module works together to achieve tumor marker detection and user health monitoring, including the following steps:

[0056] Step A, collecting a variety of body fluid samples using a microneedle array, contacting the samples with a hydrogel quantum dot labeling reagent system, and releasing quantum dot labels, including:

[0057] Step A1: When sample collection is initiated, the microneedle array contacts blood, and the polyacrylamide-acrylic acid copolymer hydrogel in the hydrogel quantum dot labeling reagent system begins to swell due to contact with body fluids, thereby releasing quantum dot markers. The quantum dot markers begin to specifically bind to tumor markers in the body fluids under the action of the microneedle array, and then proceed to step A2;

[0058] Step A2: Use the high-performance microprocessor RZ / T2H MPU to monitor the depth, angle, hydrogel swelling degree and release state of the quantum dot marker of the microneedle in real time; make the sample collection process accurate and stable, and the collected samples can accurately reflect the physical condition of the person being tested; when the microprocessor determines that the sample collection is completed and all parameters meet the requirements, the collected labeled samples are sent to the detection and analysis unit B.

[0059] This embodiment uses a 120 microneedle array / cm² to painlessly collect a variety of body fluid samples, combined with a hydrogel quantum dot labeling reagent system containing specific recognition substances such as CEA, AFP monoclonal antibodies, PSA nucleic acid aptamers, etc., and uses the optical properties of quantum dots to accurately detect markers at early low concentrations, reduce false positive and false negative rates, and improve detection sensitivity and specificity.

[0060] Step B, using a quantum sensor array to irradiate a quantum dot-labeled tumor marker, the quantum dot-labeled tumor marker generates a fluorescent light signal after being irradiated with excitation light, the quantum sensor array converts the fluorescent light signal into an electrical signal, and then the microprocessor performs post-processing on the electrical signal and calculates the concentration of the tumor marker in the sample, including the following steps:

[0061] Step B1: After the sample enters the detection and analysis unit, the ultra-sensitive quantum sensor array Acuros 6 (SWIRVision Systems) starts to work, emitting excitation light of a specific wavelength of 600-800nm ​​to irradiate the tumor markers labeled with quantum dots. Based on the photoelectric conversion characteristics of quantum dots, the tumor markers labeled with quantum dots generate fluorescent light signals after being irradiated with the excitation light. The quantum sensor array converts the fluorescent light signals into electrical signals, providing basic data for subsequent signal processing and analysis, and then proceeds to step B2;

[0062] Step B2: The microprocessor RZ / T2H MPU processes the converted electrical signal using a preset algorithm, including:

[0063] Firstly, wavelet transform is used to reduce the noise of the electrical signal, remove the noise interference in the signal and improve the quality of the signal;

[0064] Then, smoothing is performed to further reduce fluctuations in the signal, making the signal more stable, so as to facilitate subsequent accurate analysis of effective information in the signal, and then proceed to step B3;

[0065] Step B3: Use linear regression method to establish a mathematical model between fluorescence intensity and tumor marker concentration:

[0066] Setting the fluorescence intensity and tumor marker concentrations It is a linear relationship, and the expression is ,in, is the intercept, representing the fluorescence intensity when the tumor marker concentration is 0; is the slope, which indicates the corresponding increase in fluorescence intensity when the tumor marker concentration increases by one unit; is the error term, which is assumed to be normally distributed ; First, collect multiple groups of known tumor marker concentrations And the corresponding fluorescence intensity The sample data is then used to estimate the intercept using the least squares method. and slope , the specific calculation formula is as follows:

[0067]

[0068] in, yes The sample mean of yes The sample mean of is the intercept estimate, is the slope estimate, and the linear regression model is obtained through the above calculation .

[0069] Model evaluation and application: using the coefficient of determination To evaluate the fit of the model, the calculation formula is

[0070]

[0071] in , represents the fluorescence intensity value predicted by the model. When the fluorescence intensity of an unknown sample is measured by relevant detection means, When, according to the established linear regression model, according to the formula Estimate tumor marker concentrations in unknown samples. The number of sample data pairs used to build and evaluate the linear regression model;

[0072] The parameters in the model are determined by using data obtained from experiments with known concentrations of tumor marker standards in advance;

[0073] In actual testing, the concentration of tumor markers in the sample is inferred based on the strength of the detected electrical signal using the established mathematical model;

[0074] In order to ensure the accuracy of concentration measurement under different detection conditions, the Bayesian correction algorithm is used to optimize the calculation results, and then enter step B4;

[0075] Step B4: Analyze the correlation between multiple tumor markers, calculate the correlation coefficients between different tumor markers, and understand the synergistic or complementary relationship between different tumor markers.

[0076] Setting the prior distribution of tumor marker concentrations , this distribution is based on past experimental data or empirical knowledge, and the measurement model is determined , characterizing the expression of a given tumor marker concentration When the fluorescence intensity probability;

[0077] Bayes' theorem is:

[0078] ,

[0079] If the posterior distribution It shows a normal distribution shape and calculates the mean according to the normal distribution characteristics and standard deviation , take the mean As an estimate of the corrected tumor marker concentration, the following steps are involved:

[0080] The prior distribution With measurement model Substituting into Bayes' theorem formula, we get the posterior distribution ;

[0081] If the posterior distribution is normal, let the prior distribution be , the likelihood function is , calculate the mean , standard deviation ;

[0082] Given a tumor marker concentration and Linear Correlation For example, calculate the correlation coefficient .

[0083] is the tumor marker concentration, which is the key variable to monitor. Tumor marker concentration Related variables, is the constant term of the linear regression model, indicating for hour The basic value of The combined impact of is the regression coefficient, measuring right Determine the degree of impact and The slope of the linear relationship, is the error term, representing the difference between Other random factors The impact of for and The covariance of , reflecting the trend and degree of change of the two, with positive and negative indicating the direction of correlation, Tumor marker concentration The standard deviation of measures its dispersion. The value is large and the distribution is scattered. For related variables The standard deviation of The closeness of the linear relationship, that is, the correlation coefficient calculation, is the prior distribution variance, which measures the uncertainty of the prior concentration estimate, is the variance of the likelihood function, which reflects the influence of uncertainty factors on the fluorescence intensity measurement results during the measurement process.

[0084] If relevant, according to the correlation coefficient Adjusting the prior mean , making the corrected tumor marker concentration estimate more accurate.

[0085] In actual operation, the prior distribution needs to be adjusted according to the specific data situation and equipment characteristics. And related calculation parameters are reasonably adjusted and optimized to ensure that the Bayesian correction algorithm can effectively improve the accuracy of the calculation results.

[0086] Step C, transmitting the detection result data calculated by the microprocessor to the mobile terminal, includes the following steps:

[0087] Step C1: After the detection and analysis unit completes the detection and analysis of the sample, the obtained detection result data is transmitted to the mobile terminal; before transmitting the data, the data format is first converted into a format suitable for transmission in Bluetooth 5.2 and Wi-Fi networks, and then the data is losslessly compressed and packaged to reduce the data transmission volume and improve the transmission efficiency;

[0088] It uses Bluetooth 5.2 and Wi-Fi communication, performs device identity authentication and encryption before transmission, monitors the network during transmission, and ensures secure data transmission; multiple test data are stored in the device's flash memory chip to facilitate tracking of health status.

[0089] Step C2: The high-performance microprocessor RZ / T2H MPU controls the entire transmission process and monitors the network status in real time based on the network signal strength and packet loss rate. If the signal strength is lower than the set value or the packet loss rate is higher than the set value, the microprocessor automatically adjusts the transmission parameters, such as adjusting the Bluetooth transmission power, Wi-Fi channel, etc.; if the network status still does not improve after adjusting the parameters, the microprocessor will try to reconnect to the network and select a network with a stronger and more stable signal for transmission, ensuring that the test result data can be efficiently and securely transmitted to the mobile terminal.

[0090] Step D, after the mobile terminal receives the test result data from the data transmission module, it parses and processes the data and displays the test result, including:

[0091] Step D1: After the mobile terminal receives the test result data from the data transmission module, the application parses and processes the data, and displays the test results to the user in an intuitive manner in the mobile terminal application, including the concentration values ​​of multiple tumor markers, risk assessment levels, and test result credibility scores, helping users to clearly understand the status of tumor markers in their bodies and the risk level of tumors.

[0092] Step D2: If the concentration value or risk assessment level of any tumor marker in the test result exceeds the normal range, the result display and warning module will start the warning notification, which can be in various forms, including pop-up window prompts, sound alarms and SMS notifications. The pop-up window prompts contain the abnormal tumor marker name, concentration value and possible risk warning in detail.

[0093] Step E, using an ultrasonic cleaning device to clean the hardware device consisting of the microneedle array, quantum sensor array, data transmission unit and microprocessor, includes the following steps:

[0094] Step E1: After the equipment has been used for a certain number of times, it needs to be cleaned to ensure the hygiene and detection accuracy of the equipment. The cleaning solution of PEG-modified trypsin and alkyl glycoside APG is used for cleaning by ultrasonic cleaning. The mass fraction of PEG-modified trypsin is about 0.5%; the mass fraction of alkyl glycoside APG is about 10%.

[0095] The cleaning solution is packaged in special disposable packaging made of medical-grade PE film. The capacity of each package is 5-10mL and can be used 10-20 times according to the design.

[0096] Step E2: When the device has been used for a set number of times, such as 10-20 times, the high-performance microprocessor RZ / T2H MPU processor will issue a prompt to remind the user to change the cleaning solution. The user needs to soak the device in the cleaning solution at room temperature for 5-10 minutes. The ultrasonic cleaning device is started. Through the cavitation effect of ultrasound and the chemical action of the cleaning solution, impurities such as samples and quantum dot markers that may remain on the surface and inside of the device are effectively removed, ensuring the cleaning quality of the device and preparing for the next use.

[0097] A disposable cleaning solution containing special modified enzymes such as PEG-modified trypsin, deoxyribonuclease I, APG (octyl glucoside) can quickly decompose quantum dot markers and impurities at room temperature. The microprocessor controls the peristaltic pump to supply liquid, set time, and provide prompts during the cleaning process to ensure equipment cleanliness and component life. The packaging and waste liquid treatment are environmentally friendly.

[0098] Example 2

[0099] In step B3, a polynomial fitting method is used to establish a mathematical model between fluorescence intensity and tumor marker concentration:

[0100] Assuming the fluorescence intensity and tumor marker concentrations There is a polynomial relationship between them. Taking the quadratic polynomial as an example, the expression is , or expanded to a higher-order polynomial form according to actual conditions.

[0101] First collect tumor marker concentration And the corresponding fluorescence intensity The sample data is obtained by using the least squares method to minimize the residual sum of squares. Estimation parameter 1 Parameter 2 And parameter three And so on, and then get the polynomial fitting model.

[0102] Model evaluation and application: The root mean square error (RMSE) is used to measure the quality of the polynomial fitting model. The calculation formula is: ,in is the fluorescence intensity value predicted by the polynomial fitting model. When the actual measured fluorescence intensity is When , for the quadratic polynomial fit, we need to solve the equation Get tumor marker concentration In the process of solving the estimated value, numerical calculation methods are used to assist the solution, and the numerical calculation method can be selected from Newton-Raphson method, etc.

[0103] In the actual application process, it is necessary to reasonably choose whether to use a linear regression model or a polynomial fitting model based on the distribution characteristics and mutual relationships of the collected data, so as to more accurately establish the correlation between fluorescence intensity and tumor marker concentration.

[0104] Other technical features are the same as those of Example 1.

[0105] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the technical principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A quantized enhanced portable home tumor marker monitoring device, characterized in that: include: Microneedle array: used to collect samples of various body fluids; Hydrogel quantum dot labeling reagent: releases quantum dot labels after contacting the collected sample; Quantum sensor array: emits excitation light of a specific wavelength to illuminate the tumor markers marked with quantum dots, converts the fluorescent light signal into an electrical signal, and transmits the electrical signal to a microprocessor for data processing; Data transmission unit: transmits the detection result data obtained by the microprocessor to the mobile terminal; Mobile terminal: receives the test result data from the data transmission module, analyzes the data, and displays and warns the test results; Microprocessor: connected to the quantum sensor array, data transmission unit, and mobile terminal respectively, including the following functional modules: Microneedle monitoring module: real-time monitoring of the depth, angle, hydrogel swelling degree and release state of quantum dot markers of the microneedles to determine whether the parameters of the sample meet the requirements; Data signal processing module: post-processes the electrical signal converted by the quantum sensor array using a preset algorithm to improve the signal quality; Mathematical model building module: Establish a mathematical model between fluorescence intensity and tumor marker concentration, and use the established mathematical model to reversely infer the concentration of tumor markers in the sample based on the detected electrical signal intensity.

2. A quantized enhanced home tumor marker portable monitoring device according to claim 1, characterized in that: The microprocessor also includes: Correlation calculation module: analyze the correlation between multiple tumor markers and calculate the correlation coefficient between different tumor markers; Signal transmission control module: used to control the transmission process of the data transmission unit, monitor the network status in real time according to the network signal strength and packet loss rate, and automatically adjust the transmission parameters if the signal strength is lower than the set value or the packet loss rate is higher than the set value.

3. The quantized enhanced portable home tumor marker monitoring device according to claim 1, characterized in that: It also includes a cleaning unit: an ultrasonic cleaning device is used to clean the hardware devices consisting of a microneedle array, a quantum sensor array, a data transmission unit and a microprocessor.

4. The quantized enhanced portable home tumor marker monitoring device according to claim 1, characterized in that: The microneedle array has 120 microneedles / cm² and the length of the microneedles is 0.3 mm.

5. A monitoring method of a quantized enhanced home tumor marker portable monitoring device, characterized in that: The following steps are involved: Step A, collecting a variety of body fluid samples using a microneedle array, contacting the samples with a hydrogel quantum dot labeling reagent system, and releasing quantum dot labels; Step B, using a quantum sensor array to irradiate a quantum dot-labeled tumor marker, the quantum dot-labeled tumor marker generates a fluorescent light signal after being irradiated with the excitation light, the quantum sensor array converts the fluorescent light signal into an electrical signal, and the microprocessor then post-processes the electrical signal and calculates the concentration of the tumor marker in the sample; Step C, transmitting the detection result data calculated by the microprocessor to the mobile terminal; Step D: After receiving the detection result data from the data transmission module, the mobile terminal analyzes and processes the data and displays the detection result.

6. The monitoring method of a quantized enhanced home tumor marker portable monitoring device according to claim 5, characterized in that: In step A, it includes: Step A1: The microneedle array contacts blood, and the polyacrylamide-acrylic acid copolymer hydrogel in the hydrogel quantum dot labeling reagent system begins to swell due to contact with body fluids, releasing quantum dot markers, and the quantum dot markers specifically bind to tumor markers in the body fluids under the action of the microneedle array, and then proceed to step A2; Step A2: Use a microprocessor to monitor the depth, angle, hydrogel swelling degree and release state of the quantum dot marker of the microneedle in real time. When the microprocessor determines that the sample collection is completed and all parameters meet the requirements, the collected labeled sample is sent to the detection and analysis unit B.

7. The monitoring method of a quantized enhanced home tumor marker portable monitoring device according to claim 5, characterized in that: In step B, it includes: Step B1: After the sample enters the detection and analysis unit, the ultra-sensitive quantum sensor array starts to work, emitting excitation light of a specific wavelength of 600-800nm ​​to irradiate the tumor markers labeled with quantum dots. Based on the photoelectric conversion characteristics of quantum dots, the tumor markers labeled with quantum dots generate fluorescent light signals after being irradiated with the excitation light. The quantum sensor array converts the fluorescent light signals into electrical signals, and then enters step B2; Step B2: The microprocessor processes the converted electrical signal using a preset algorithm, including: using wavelet transform to reduce noise on the electrical signal; then performing smoothing processing, and entering step B3; Step B3: Establish a mathematical model between fluorescence intensity and tumor marker concentration; determine the parameters in the model by using data obtained from experiments with tumor marker standards of known concentrations in advance; in actual testing, use the established mathematical model to reversely infer the concentration of tumor markers in the sample based on the detected electrical signal intensity.

8. The monitoring method of a quantized enhanced home tumor marker portable monitoring device according to claim 7, characterized in that: The mathematical model between fluorescence intensity and tumor marker concentration was established by linear regression method or polynomial fitting method.

9. The monitoring method of a quantized enhanced home tumor marker portable monitoring device according to claim 7, characterized in that: Also includes: Step B4: Analyze the correlation between multiple tumor markers and calculate the correlation coefficient between different tumor markers.

10. The monitoring method of a quantized enhanced home tumor marker portable monitoring device according to claim 1, characterized in that: In step C, the microprocessor monitors the network status in real time based on the network signal strength and packet loss rate. If it is found that the signal strength is lower than the set value or the packet loss rate is higher than the set value, the microprocessor automatically adjusts the transmission parameters.

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