Design And Implementation Of Theobromine Detection System Based On Nanobiocomposite Sensor

Theobromine(TB)is a good chemical substance that has the functions of diuresis,myocardial excitability,dilation of blood vessels,and relaxation of smooth muscles.It is an important and effective part of the clinical treatment of cardiovascular diseases and renal diseases,and it is also a preventive and therapeutic method.One of the medicine ingredients such as cardiovascular disease.Theobromine plays an important role in medical treatment.It would be of great significance to find a way to quickly detect and detect the presence of theobromine in the test substance.However,because of poor detection of theobromine,it can not play its role in medical treatment.The research in this article is to improve the accuracy of the acquisition of the theobromine data through the improved sensors,ie,nanocomposite sensors,and to design and develop a detection and identification system that can intuitively identify theobromine.The main contents of this article include three parts.The first part is to find a kind of composite material to modify and improve the sensor.The improved sensor can detect with high sensitivity whether the test substance contains theobromine and is different or different in the same variable.Test under variables,etc.,and then obtain the relevant data of the test object under different conditions,analyze and study the data,and then compare with the situation of the detection of theobromine under the traditional sensor,analyze whether the improved sensor is more advantageous,at the same time,The characteristic performance of the improved sensor is tested to improve whether the sensor is more sensitive and accurate.The data obtained from the detection of the test substance was saved in text form as the data source for the third part of the theobromine detection system.The second part is to use BP neural network algorithm,use this algorithm to fit the experimental data,find a certain rule,make the computer read this law,and then execute,identify the theobromine data,and get the required results.The third part is the analysis and design of the detection system of theobromine.The main task of this section is to acquire the data of fitting the experimental data of the classification algorithm and execute the procedures of the relevant functions.The results are simulated and displayed in the form of images,so that the user does not have to consult the professional intuitively.It is convenient to determine whether theobromine is contained.Based on this study,a kind of composite material with good electrochemical properties,which uses the theobromine as the experimental object,carbon nanotubes as the material,and combined with the special structure features of cmc,was prepared.Nanocomposite sensors.The nanocomposite sensor successfully detected theobromine and obtained relevant theobromine data.Afterwards,on the basis of the experiment,a theobromine detection system was prepared.The system first processed the data obtained by testing with the nanocomposite sensor,fitted the data through the BP neural network algorithm,and then performed the writing of the program.The image is displayed so that the presence of theobromine is detected.