With the increasing maturity of theory and technology,concepts such as artificial intelligence and the Internet of Things are being extended to various research fields,including their exploration and application in the field of smart sensor technology.Based on the flexible non-enzyme ampere-type electrochemical sensors,this paper investigates intelligently and completely the preparation,performance and back-end hardware circuits of enzyme-free electrochemical sensors.Firstly,a MATLAB-based algorithm for optimizing the selection of operating voltage is proposed for the phenomenon that the optimal response voltage of the electrode artificially estimated in current electrochemical sensor reports may cause certain errors.The core idea of this algorithm is based on the least square method.By setting constraints,find out the optimal working voltage of the electrochemical sensor.Secondly,because the current reports of metal oxide nanomaterials in electrochemical sensors are hotspots,and CuO nanoelectrodes have been verified to have high sensitivity and excellent electrochemical stability characteristics.Therefore,in this paper,based on the principle of high-frequency induction heating,a new method for preparing CuO nanomaterials is proposed,and a complete step for preparing CuO flexible nanoelectrodes is provided.On this basis,the physical characterization of CuO Electrode Materials was carried out by scanning electron microscope,X-ray diffractometer,etc.It is explained that the reason why the electrode performs well is that there are many nanopores in the CuO materials,which increases the specific surface area and thus increases the electron transfer rate.After that,the proposed algorithm was compared and verified by using CuO modified electrodes to detect the concentrations of glucose and dopamine respectively as examples.In the experiment of measuring glucose concentration,the detection limits of CuO nano-modified electrodes under two voltage conditions were calculated respectively.Among them,the detection limit for an artificial estimation voltage of 0.39 V was 1.24 μM.However,the detection limit for an intelligent selection voltage of 0.49 V was 0.557 μM,which is about half of the previous value.Therefore,this result also demonstrates the superiority of the intelligent selection voltage and proves the scientificity and practicability of this study.Finally,the design and construction,device selection,module functions,and program flow chart of the back-end hardware circuit of the electrochemical sensor are introduced in detail.The experience problems such as circuit welding and debugging encountered during the research are summarized.The shell is made by 3D printing technology for the designed multi-function inspection circuit board.This research will make the development of multifunctional,intelligent and portable detectors more complete and productized. |