Extraction and evaluation of gas-flow-dependent features from dynamic measurements of gas sensors array

Gas analyzers based on gas sensors are the devices which enable recognition of various kinds of volatile compounds. They have continuously been developed and investigated for over three decades, however there are still limitations which slow down the implementation of those devices in many applications. For example, the main drawbacks are the lack of selectivity, sensitivity and long term stability of those devices caused by the drift of utilized sensors. This implies the necessity of investigations not only in the field of development of gas sensors construction, but also the development of measurement procedures or methods of analysis of sensor responses which compensate the limitations of sensors devices. One of the fields of investigations covers the dynamic measurements of sensors or sensor-arrays response with the utilization of flow modulation techniques. Different gas delivery patterns enable the possibility of extraction of unique features which improves the stability and selectivity of gas detecting systems. In this article three utilized flow modulation techniques are presented, together with the proposition of the evaluation method of their usefulness and robustness in environmental pollutants detecting systems. The results of dynamic measurements of an commercially available TGS sensor array in the presence of nitrogen dioxide and ammonia are shown.

[2]  Andrzej Szczurek,et al.  The characteristics of a “stop–flow” mode of sensor array operation using data with the best classification performance , 2009 .

[3]  Katarzyna Zakrzewska,et al.  Hydrogen Detection With a Gas Sensor Array – Processing and Recognition of Dynamic Responses Using Neural Networks , 2015 .

[4]  Anne-Claude Romain,et al.  The use of sensor arrays for environmental monitoring: interests and limitations. , 2003, Journal of environmental monitoring : JEM.

[5]  A. Hierlemann,et al.  Higher-order Chemical Sensing , 2007 .

[6]  David Zhang,et al.  A Novel Breath Analysis System Based on Electronic Olfaction , 2010, IEEE Transactions on Biomedical Engineering.

[7]  Diana Hodgins,et al.  The development of an electronic ‘nose’ for industrial and environmental applications , 1995 .

[8]  Monika Maciejewska,et al.  Sensor array and stop-flow mode applied to discrimination and quantification of gas mixtures , 2010 .

[9]  Ghenadii Korotcenkov,et al.  Engineering approaches for the improvement of conductometric gas sensor parameters: Part 1. Improvement of sensor sensitivity and selectivity (short survey) , 2013 .

[10]  Zulfiqur Ali,et al.  Data analysis for electronic nose systems , 2006 .

[11]  Santiago Marco,et al.  Data set from gas sensor array under flow modulation☆ , 2015, Data in brief.

[12]  David Zhang,et al.  Temperature Modulated Gas Sensing E-Nose System for Low-Cost and Fast Detection , 2016, IEEE Sensors Journal.

[13]  M. Santonico,et al.  Olfactory systems for medical applications , 2008 .

[14]  Janusz Smulko,et al.  Noise measurement set-ups for fluctuations-enhanced gas sensing , 2009 .

[15]  N. Bârsan,et al.  Metal oxide-based gas sensor research: How to? , 2007 .

[16]  Selena Sironi,et al.  Electronic Noses for Environmental Monitoring Applications , 2014, Sensors.

[17]  Paweł Kalinowski,et al.  Determination of toxic gases based on the responses of a single electrocatalytic sensor and pattern recognition techniques , 2014 .

[18]  Andrzej Szczurek,et al.  The stop-flow mode of operation applied to a single chemiresistor , 2010 .

[19]  K. Persaud,et al.  Analysis of discrimination mechanisms in the mammalian olfactory system using a model nose , 1982, Nature.

[20]  M. Santonico,et al.  Short time gas delivery pattern improves long-term sensor reproducibility , 2011 .

[21]  Przemyslaw M. Szecowka,et al.  Statistical assessment of quantification methods used in gas sensor system , 2013 .

[22]  M. Peris,et al.  A 21st century technique for food control: electronic noses. , 2009, Analytica chimica acta.

[23]  K. Brudzewski,et al.  An effective method for analysis of dynamic electronic nose responses , 2009 .

[24]  Janusz Smulko,et al.  Analytical fluctuation enhanced sensing by resistive gas sensors , 2015 .

[25]  Eduard Llobet,et al.  Selectivity Enhancement in Multisensor Systems Using Flow Modulation Techniques , 2008, Sensors.

[26]  Anna Strzelczyk,et al.  Efficiency of Linear and Non-Linear Classifiers for Gas Identification from Electrocatalytic Gas Sensor , 2013 .