Highly-Selective Optoelectronic Nose Based on Surface Plasmon Resonance Imaging for Sensing Volatile Organic Compounds

Abstract

Monitoring volatile organic compounds (VOCs) is an important issue, but difficult to achieve on a large scale and on the field using conventional analytical methods. Electronic noses (eNs), as promising alternatives, are still compromised by their performances due to the fact that most of them rely on a very limited number of sensors and use databases devoid of kinetic information. To narrow the performance gap between human and electronic noses, we developed a novel optoelectronic nose, which features a large sensor microarray that enables multiplexed monitoring of binding events in real-time with a temporal response. For the first time, surface plasmon resonance imaging is demonstrated as a promising novel analytical tool for VOC detection in the gas phase. By combining it with cross-reactive sensor microarrays, the obtained optoelectronic nose shows a remarkably high selectivity, capable of discriminating between homologous VOCs differing by only a single carbon atom. In addition, the optoelectronic nose has good repeatability and stability. Finally, the preliminary assays using VOC binary and ternary mixtures show that it is also very efficient for the analysis of more complex samples, opening up the exciting perspective of applying it to "real-world" samples in diverse domains.

Janus Mesoporous Sensor Devices for Simultaneous Multivariable Gases Detection

“…[24][25][26][27] In another aspect, the construction of multiple gas sensors for realizing distinguishable detective signals without interference remains another major challenge. 3,[28][29][30][31] Therefore, it is of key importance for detection of multiple gases to construct reliable mesoporous nanodevices with asymmetric structures and disparate sensing outputs, a goal that is yet to be achieved.…”

The Electronic Nose Coupled with Chemometric Tools for Discriminating the Quality of Black Tea Samples In Situ

“…One of the tea quality test parameters is through testing of volatile organic compounds (VOCs). Brenet et al used surface plasmon resonance imaging for sensing VOCs that has become a high-selective sensing device [16]. Also, electronic noses (E-nose), that utilize an array of gas sensors to give a fingerprint response to a given odor [17][18][19][20][21], combined with different multivariate statistical tools have been used for tea quality assessment and tea aroma evaluation of green or black teas from different geographical origins [1,2,[22][23][24][25][26][27][28][29][30][31][32][33].…”

Olfactive robot for gas discrimination over several months using a new optoelectronic nose

“…The eNose used here is based on the technology described in [1], [6] and is provided by Aryballe Technologies. A chemical sensor is a molecule which is fixed over the golden surface of a prism.…”

“…A new electronic nose (eNose) featuring low specificity and a fast response has recently been developed [1]. The technology of this promising tool is based on the use of peptides as sensing materials coupled with Surface Plasmon Resonance imaging (SPRi) as the transduction method.…”

“…With this technique, up to hundreds of chemical sensors could be used on a single chip, overcoming one of the main weaknesses of established eNoses. The instrument has already been successfully evaluated in quite controlled environments [1]. However, it must be still usable in non-lab conditions to fully fulfill the expectations of an eNose.…”