Impact of Sensing Film’s Production Method on Classification Accuracy by Electronic Nose

Ana Carolina Pádua, Jonas Gruber, Hugo Gamboa, Ana Cecília Roque

2019

Abstract

The development of gas sensing materials is relevant in the field of non-invasive biodevices. In this work, we used an electronic nose (E-nose) developed by our research group, which possess versatile and unique sensing materials. These are gels that can be spread over the substrate by Film Coating or Spin Coating. This study aims to evaluate the influence of the sensing film spreading method selected on the classification capabilities of the E-nose. The methodology followed consisted of performing an experiment where the E-nose was exposed to 13 different pure volatile organic compounds. The sensor array had two sensing films produced by Film Coating, and other two produced by Spin Coating. After data collection, a set of features was extracted from the original signal curves, and the best were selected by Recursive Feature Elimination. Then, the classification performance of Multinomial Logistic regression, Decision Tree, and Naíve Bayes was evaluated. The results showed that both spreading methods for sensing film’s production are adequate since the estimated error of classification was inferior to 4 % for all the classification tools applied.

Paper Citation

in Harvard Style

Pádua A., Gruber J., Gamboa H. and Roque A. (2019). Impact of Sensing Film’s Production Method on Classification Accuracy by Electronic Nose. In Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - Volume 1: BIODEVICES; ISBN 978-989-758-353-7, SciTePress, pages 56-64. DOI: 10.5220/0007401900560064

in Bibtex Style

@conference{biodevices19,
author={Ana Carolina Pádua and Jonas Gruber and Hugo Gamboa and Ana Cecília Roque},
title={Impact of Sensing Film’s Production Method on Classification Accuracy by Electronic Nose},
booktitle={Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - Volume 1: BIODEVICES},
year={2019},
pages={56-64},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007401900560064},
isbn={978-989-758-353-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - Volume 1: BIODEVICES
TI - Impact of Sensing Film’s Production Method on Classification Accuracy by Electronic Nose
SN - 978-989-758-353-7
AU - Pádua A.
AU - Gruber J.
AU - Gamboa H.
AU - Roque A.
PY - 2019
SP - 56
EP - 64
DO - 10.5220/0007401900560064
PB - SciTePress