Title: Detection of alkyl amine vapors using PPy-ZnO hybrid nanocomposite sensor array and artificial neural network
Journal: Sensors and Actuators A: Physical
Author: Hoda Jamalabadi, Ahmad Mani-Varnosfaderani, Naader Alizadeh
Year: 2018
Address: 1. Department of Chemistry, Faculty of Basic Sciences, Tarbiat Modares University, P.O. Box 14115-175, Tehran, Iran
Abstract: This paper presents a novel 4-element chemiresistive sensor array based on Ppy-ZnO hybrid nanocomposites for identification and quantitative prediction of different amine vapors. Ppy and Ppy-ZnO hybrid nanocomposite films, with different ZnO loading levels (10, 20 and 40 wt%) were successfully prepared by electrospinning deposition method onto an interdigitated electrodes (IDEs).The synthesized ZnO particles and the hybrid nanocomposites were characterized in terms of their crystalline structures and morphologies by XRD and FE-SEM methods. The sensing performance of the sensor to various alkylamines such as methyl-, ethyl-, propyl- and n-butyl amine, alcohols, acetone and water vapor were investigated. The sensor exhibited high sensitivity to amine vapors. The discrimination ability of the array evaluated after a 3D principal component analysis (PCA), was proved to be very good. Moreover, the quantitativity of the sensor responses was well fitted with artificial neural network (ANN) model for all tested amine vapors in a wide range of concentrations. The electrospun hybrid nanocomposite sensors developed in this study appear to be very good candidates to design low cost sensor array for the identification and quantitative analysis of different amine vapors, with high sensitivity, short response time (<50 s), low consumption, and low detection limit (100 ng).
Keywords: Alkyl amine detection, Electrospinning, Hybrid gas sensor, Sensor array
Application: Sensor
Product Model 1: Syringe Pump
Product Model 2: High Voltage Power Supply (OV Series)
URL: #https://www.sciencedirect.com/science/article/abs/pii/S0924424718304679#