The Analysis of Nutrition Toxicology Detection Based on Big Data and Deep Learning
Public health and safety are increasingly concerned as public awareness of health-related issues grows.To find a rapid, convenient, and non-destructive testing method for detecting human nutritional toxicology detection, this study selects sildenafil, phenolphthalein, and metformin hydrochloride—commonly found additives in health products