The Method Of ZnO Sensor And Chromatographic Separation And Detection Of POPs

POPs are human synthetic toxic chemicals, which can persist in the natural environment and are harmful to humans and other organisms. Human abusing of such chemical substances has led to pollution of the global environment. Because of characteristics of POPs such as persistent, bio-accumulative and a wide range of flow, POPs have been diffused through the global world and have been accumulated in organism. The situation aggravated harm which POPs bring to the environment and human. It is important to establish monitoring system of POPs. So for the actual situation of POPs harming humans and other organisms, it is very important to develop detection equipment for POPs and improve the efficiency and accuracy detection of POPs, make new contributions to detection of POPs.This paper designs a portable detection system for POPs, which can detect the toxaphene POPs and interferences. The detection system combines ZnO sensor and chromatographic separation methods with computer technology to achieve the purpose of POPs detection, with advantages such as convenient, fast and high accuracy.Before sample data detected from detection system is extracted feature, trained and recognized, we normalize sample data to eliminate the influence of dimension, sample concentration, temperature and other external factors. We use PCA and LDA algorithm to extract data features. Finally, according to the extracted pattern features, we use SVM and RBF artificial neural network classifier to distinguish the category of test sample data. The detection system can identify the classification of POPs, and have a good classification result.