DRIFT ANALYSIS OF A Pd LOADED SnO2 BASED LINALOOL SENSOR

Abstract

An approach is made in this work to analyze sensitivity drift in a Pd doped SnO₂ sensor developed for detection of linalool, a significant aroma compound in tea.  Prior to the drift analysis, an attempt is made to choose the optimum loading percentage of Pd in SnO₂ for linalool sensing.  An inexpensive and simplistic hydrothermal method is used to develop five different Pd doped SnO₂ sensors (0.5 wt%, 2 wt%, 5 wt%, 6 wt% and 8 wt%) and compare their sensitivities when exposed to linalool vapour. The analysis shows that 6 wt% exhibits better sensitivity (62.7%) towards Linalool at a relatively lower temperature (100 ⁰C) as compared to all the other synthesized sensors. Henceforth, extensive experiments were performed on the 6 wt% Pd doped SnO₂ sensor for a period of one month to analyze its stability. Relative standard deviation and principal component analysis based drift analysis are performed to understand its changing attributes under repeated measurements.