Detection of VOCs and their concentrations by a single SnO2 sensor using kinetic information

Abstract We report a novel kinetic approach to identify volatile organic compounds (VOCs) and to determine their concentrations with a single SnO 2 gas sensor. Traditional array-based electronic noses usually rely on the saturation level of the response between target molecules and sensing materials, and our approach is kinetic based. It is more straightforward and simpler than traditional pattern recognition systems. An effective algorithm is developed for this system. The algorithm can identify chemicals with high accuracy regardless of their concentrations, and it is able to estimate the concentrations of the analytes. It reduces the complexity of hardware as well as software in traditional array-based electronic nose systems.

[1]  Ryan C Bailey,et al.  Micropatterned polymeric gratings as chemoresponsive volatile organic compound sensors: implications for analyte detection and identification via diffraction-based sensor arrays. , 2003, Analytical chemistry.

[2]  F. Winquist,et al.  Electronic nose for microbial quality classification of grains. , 1997, International journal of food microbiology.

[3]  W. Ping,et al.  A novel method for diabetes diagnosis based on electronic nose. , 1997 .

[4]  A. K. Srivastava,et al.  Detection of volatile organic compounds (VOCs) using SnO2 gas-sensor array and artificial neural network , 2003 .

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

[6]  Younan Xia,et al.  A solution-phase, precursor route to polycrystalline SnO2 nanowires that can be used for gas sensing under ambient conditions. , 2003, Journal of the American Chemical Society.

[7]  Julian W. Gardner,et al.  Electronic noses & sensors for the detection of explosives , 2004 .

[8]  Duk-Dong Lee,et al.  Recognition of volatile organic compounds using SnO2 sensor array and pattern recognition analysis , 2001 .

[9]  Jinhuai Liu,et al.  Qualitative and quantitative analysis of organophosphorus pesticide residues using temperature modulated SnO(2) gas sensor. , 2004, Talanta.

[10]  Julian W. Gardner,et al.  A brief history of electronic noses , 1994 .

[11]  Konrad Colbow,et al.  Selective thermally cycled gas sensing using fast Fourier-transform techniques , 1990 .

[12]  C Zondervan,et al.  Controlling Maillard reactions in the heating process of blockmilk using an electronic nose. , 1999, Journal of agricultural and food chemistry.

[13]  Distinction of gases with a semiconductor sensor depending on the scanning profile of a cyclic temperature. , 2006, The Analyst.

[14]  R. Negri,et al.  Identification of pollutant gases and its concentrations with a multisensor array , 2001 .

[15]  Doron Lancet,et al.  An eNose algorithm for identifying chemicals and determining their concentration , 2003 .

[16]  Shui-Tong Lee,et al.  LARGE SCALE RAPID OXIDATION SYNTHESIS OF SNO2 NANORIBBONS , 2002 .

[17]  Duk-Dong Lee,et al.  Pattern recognition of gas sensor array using characteristics of impedance , 2001 .

[18]  Cosimo Distante,et al.  Quantitative and qualitative analysis of VOCs mixtures by means of a microsensors array and different evaluation methods , 2003 .

[19]  Michele Penza,et al.  Application of principal component analysis and artificial neural networks to recognize the individual VOCs of methanol/2-propanol in a binary mixture by SAW multi-sensor array , 2003 .

[20]  Gregory A. Bakken,et al.  Computational methods for the analysis of chemical sensor array data from volatile analytes. , 2000, Chemical reviews.

[21]  Udo Weimar,et al.  Gas identification by modulating temperatures of SnO2-based thick film sensors , 1997 .

[22]  K. Eichhorn,et al.  Quantification of quaternary mixtures of low alcohols in water: temporal-resolved measurements with microporous and hyperbranched polymer sensors for reduction of sensor number. , 2005, Analytical chemistry.

[23]  R. Cavicchi,et al.  Optimization of temperature programmed sensing for gas identification using micro-hotplate sensors , 1998 .