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Reference type: Journal
Authors: Jha SK, Hayashi K
Article Title: Polyacrylic acid polymer and aldehydes template molecule based MIPs coated QCM sensors for detection of pattern aldehydes in body odor.
Publication date: 2015
Journal: Sensors and Actuators B: Chemical
Volume: 206
Page numbers: 471-487.
DOI: 10.1016/j.snb.2014.09.102
Alternative URL: http://www.sciencedirect.com/science/article/pii/S0925400514011927

Abstract: Molecularly imprinted polymers (MIPs) have been prepared using the polyacrylic acid (PAA) as host polymer and hexanal, heptanal, and nonanal as pattern molecules. MIPs were employed as selective coating layer of quartz crystal microbalance (QCM) sensors. Hexanal, heptanal, and nonanal were opted as target chemicals after gas chromatography-mass spectrometer (GC-MS) characterization of body odor samples. Transient and static responses of four QCM sensors (three coated with MIPs and one with non-MIP) to target aldehydes in singly, binary and tertiary mixtures, and water at distinct concentrations have been measured. Transient responses were analyzed to compute the response time (ton), and recovery time (toff) of sensors. This result average values of ton 5 s and toff 10 s to typical concentrations of target odors. The sensitivity and baseline drift of sensors were also calculated using their static response. The heptanal template molecule based MIP coated QCM exhibit improved sensitivity, reproducibility and faster response, than the rest two MIPs, and non-MIP coated QCMs. Static sensors response matrices were further processed with principal component analysis (PCA) for qualitative (visual) discrimination and support vector machine (SVM) classifier for quantitative recognition (in %) of target aldehydes: in singly, binary and tertiary mixtures. Aldehydes odor was effectively identified in principal component (PC) space. Maximum recognition rate of 89% has been achieved for three classes of binary odors, and 79% for the combination of single, binary and tertiary odor classes in 3-fold cross-validation of SVM classifier
Template and target information: aldehydes, body odor, hexanal, heptanal, nonanal
Author keywords: MIP, QCM sensor, aldehydes, Body odor characterization, Chemical vapor pattern recognition


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