Calibration transfer between electronic nose systems for rapid in situ measurement of pulp and paper industry emissions.

Abstract

Electronic nose systems when deployed in network mesh can effectively provide a low budget and onsite solution for the industrial obnoxious gaseous measurement. For accurate and identical prediction capability by all the electronic nose systems, a reliable calibration transfer model needs to be implemented in order to overcome the inherent sensor array variability. In this work, robust regression (RR) is used for calibration transfer between two electronic nose systems using a Box-Behnken (BB) design. Out of the two electronic nose systems, one was trained using industrial gas samples by four artificial neural network models, for the measurement of obnoxious odours emitted from pulp and paper industries. The emissions constitute mainly of hydrogen sulphide (H2S), methyl mercaptan (MM), dimethyl sulphide (DMS) and dimethyl disulphide (DMDS) in different proportions. A Box-Behnken design consisting of 27 experiment sets based on synthetic gas combinations of H2S, MM, DMS and DMDS, were conducted for calibration transfer between two identical electronic nose systems. Identical sensors on both the systems were mapped and the prediction models developed using ANN were then transferred to the second system using BB-RR methodology. The results showed successful transmission of prediction models developed for one system to other system, with the mean absolute error between the actual and predicted concentration of analytes in mg L(-1) after calibration transfer (on second system) being 0.076, 0.1801, 0.0329, 0.427 for DMS, DMDS, MM, H2S respectively.

DOI: 10.1016/j.aca.2014.05.054

Statistics

0200400201520162017
Citations per Year

92 Citations

Semantic Scholar estimates that this publication has 92 citations based on the available data.

See our FAQ for additional information.

Cite this paper

@article{Deshmukh2014CalibrationTB, title={Calibration transfer between electronic nose systems for rapid in situ measurement of pulp and paper industry emissions.}, author={Sharvari C. Deshmukh and Kalyani Kamde and Arun Jana and Sanjivani Korde and Rajib Bandyopadhyay and Ravi Sankar and Nabarun Bhattacharyya and Ram Avatar Pandey}, journal={Analytica chimica acta}, year={2014}, volume={841}, pages={58-67} }