Development Of A Handheld Device For Detecting Advanced Glycosylation End Products On Ocular Surface

At present,with the development of modernization,the number of diabetes patients in the world is increasing day by day.diabetes has already become a major problem in people’s healthy life.What really affects people’s quality of life is the complications caused by diabetes.In the traditional management of diabetes,hospitals generally only detect the blood sugar of diabetes patients,and the blood sugar value can only reflect the short-term blood sugar of patients.Diabetes is a chronic disease,and its long-term condition control is particularly important for patients’condition management.Advanced glycation end products（AGEs）in the human body are substances accumulated during prolonged periods of hyperglycemia,and their content in the body can effectively reflect the patient’s long-term blood sugar control.Therefore,the detection of AGEs can have a good monitoring effect on the physical condition of diabetes patients,and the research on the detection method of AGEs in human body has important clinical significance.This article first simulated the eye environment and designed a set of in vitro interference detection experiments for AGEs,proving that the detection of AGEs in the eyes is not affected by the main substances ascorbic acid and glucose in the eyes,and also verifying the feasibility of using AGEs for fluorescence detection.As the main content of the eye,aqueous humor has the highest levels of glucose and ascorbic acid.Therefore,exploring the impact of glucose and ascorbic acid on AGEs detection results has certain research significance.This article compares the effects of different concentrations of ascorbic acid,glucose,and their mixed solutions on AGEs detection by designing in vitro experiments.Because some AGEs are Autofluorescence materials,but the eyes are vulnerable parts of the human body,the human body detection needs to meet the safety principle.After the laser safety calculation,the fluorescence generated in the eye surface fluorescence detection process is relatively weak.This article designs an integrated eye surface AGEs concentration detection device,which consists of an ergonomic darkroom module in the front,a light path module,a weak photoelectric conversion module,a signal acquisition module,and a minimum system unit.Among them,an ergonomic darkroom structure is an important design for reducing interference light.In order to verify the feasibility of this device design,in vivo eye surface AGEs fluorescence measurement experiments were conducted using this device.At the same time,blood samples from volunteers were collected to measure serum AGEs concentration,and 20 groups of volunteers’eye surface fluorescence data,serum AGEs concentration data,and basic physiological data were obtained.Then,data regression analysis was conducted using the XGBoost machine learning algorithm to demonstrate the feasibility of the eye surface AGEs concentration detection method introduced in this article.The in vitro experimental results of this article indicate that the fluorescence detection of AGEs in aqueous humor is not affected by ascorbic acid and glucose interference,and the optimal excitation wavelength of AGEs standard solution in vitroλ_ex=370nm,optimal emission wavelengthλ_em=430nm。After laser safety analysis and using this as a standard for device design,the device can be safely tested.Through in vivo experiments,the detection error of the device in this article is within 15%after data analysis.After data regression analysis,the correlation coefficient between the serum AGEs concentration and the detection results of the device in this article is 0.9.The feasibility of the eye surface AGEs detection device designed in this article for detecting eye surface AGEs is demonstrated.