Advances in high throughput screening of gas sensing materials

Siemons, Maike; Koplin, Tobias J.; Simon, Ulrich

doi:10.1016/j.apsusc.2007.06.073

Cited by 25 publications

(14 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…They also showed the Trellis plot of various doped LnFeO 3 and LnCrO 3 (Ln: lanthanides) materials visualizing the responses to six different analyte gases (H 2 , CO, NO, NO 2 , C 2 H 5 OH, and C 3 H 6 ) at five different temperatures (225, 250, 275, 300, and 325 °C) (Figure 19b). [ 561 ] The results clearly show the validity and promising potential of the high‐throughput screening of gas sensing materials for high performance artificial olfaction, as well as for gas sensors. The Simon group also applied this combinatorial method to 64 surface‐doped In 2 O 3 and doped WO 3 sensors [ 564,565 ] to rapidly screen gas sensing materials.…”

Section: High‐throughput Screening Of Diverse Sensing Materials For Amentioning

confidence: 88%

“…The combinatorial approach provides a high-throughput solution for discovering new materials with the intended functionality [557][558][559][560] that can be applied to screen sensing materials [561][562][563] and to optimize the operating conditions of sensors. Siemons and Simon prepared the nanoparticles of 64 different oxide semiconductor chemiresistors using the polyol method, coated a multielectrode substrate with a suspension of sensing materials, [561,562] and analyzed the gas sensing characteristics using high-throughput impedance spectroscopy (Figure 19a). They also showed the Trellis plot of various doped LnFeO 3 and LnCrO 3 (Ln: lanthanides) materials visualizing the responses to six different analyte gases (H 2 , CO, NO, NO 2 , C 2 H 5 OH, and C 3 H 6 ) at five different temperatures (225,250,275,300, and 325 °C) (Figure 19b).…”

Section: High-throughput Screening Of Diverse Sensing Materials For Amentioning

confidence: 99%

“…The combinatorial approach provides a high‐throughput solution for discovering new materials with the intended functionality [ 557–560 ] that can be applied to screen sensing materials [ 561–563 ] and to optimize the operating conditions of sensors. Siemons and Simon prepared the nanoparticles of 64 different oxide semiconductor chemiresistors using the polyol method, coated a multielectrode substrate with a suspension of sensing materials, [ 561,562 ] and analyzed the gas sensing characteristics using high‐throughput impedance spectroscopy ( Figure a).…”

Section: High‐throughput Screening Of Diverse Sensing Materials For Amentioning

confidence: 99%

“…Reproduced with permission. [ 561 ] Copyright 2007, Elsevier. c) Schematic illustrations of test chamber of high‐throughput screening platform of gas‐sensing materials and schematic layout of 36‐matrices material chip.…”

Section: High‐throughput Screening Of Diverse Sensing Materials For Amentioning

confidence: 99%

See 3 more Smart Citations

Rational Design of Semiconductor‐Based Chemiresistors and their Libraries for Next‐Generation Artificial Olfaction

2020

View full text Add to dashboard Cite

With rapid progress in device integration and computing power, the realization of highly miniaturized one-chip artificial olfaction with superior performance is close and should be further supported by the rational design of chemical sensors and chemical sensing materials. The number of gas sensors tends to increase in order to sniff more complex odors with the progress of civilization. This explains the evolution from a single chemical sensor to complicated artificial olfaction using sensor arrays. At the advent of oxide chemiresistive gas sensors in the 1960s and 1970s, a single gas sensor was widely used to detect toxic, explosive, dangerous, and harmful gases, such as CO, C 3 H 8 , CH 4 , H 2 S, and NO 2 , in a selective manner. [26,27] However, a single sensor is often insufficient for recognizing most of the natural odors encountered in daily life, which consist of hundreds to thousands of different chemicals. [28] In the mammalian olfactory system, odorants are initially detected by olfactory receptors (ORs) covering the surface of the cilia projected from olfactory sensory neurons (OSNs), which are located in the olfactory epithelium lining the nasal cavity. These signals are transmitted to the glomeruli in the olfactory bulb, where a high degree of signal integration happens (Figure 1a). [29] Finally, the signals are sent through mitral cells to a higher brain region (olfactory cortex), and the signals are subsequently combined or modified in a variety of ways by parallel processing for analysis and interpretation (Figure 1b). [30] Each OR can detect various kinds of odorants, and similarly, each odorant can also be recognized by a number of ORs. That is, the olfactory system determines multiple odorants from various combinations of ORs (Figure 1c). [31] For better olfaction, both OSNs and ORs should be abundant. A larger number of OSNs is advantageous for detecting trace concentrations of analytes and ligands. [32] For instance, dogs with more OSNs are better than humans at detecting explosives, searching and rescuing, diagnosing disease, and assessing agricultural products. [33] If a mammal can detect larger numbers of faint gas components within odors, he can perceive and identify the odors more accurately. From this perspective, gas sensors with lower detection limits would be assembled to the stronger artificial olfaction. Kinds of ORs are also important. Mammals are known to have ≈1000 different kinds of ORs, and combinations of dissimilar ORs enable the discrimination of a myriad of odorants. [29] To mimic this, sensor arrays consisting of small number (5-20) of sensors that show Artificial olfaction based on gas sensor arrays aims to substitute for, support, and surpass human olfaction. Like mammalian olfaction, a larger number of sensors and more signal processing are crucial for strengthening artificial olfaction. Due to rapid progress in computing capabilities and machinelearning algorithms, on-demand high-performance artificial olfaction that can eclipse human olfaction becomes inevitable onc...

show abstract

Section: High‐throughput Screening Of Diverse Sensing Materials For Amentioning

confidence: 88%

Section: High-throughput Screening Of Diverse Sensing Materials For Amentioning

confidence: 99%

Section: High‐throughput Screening Of Diverse Sensing Materials For Amentioning

confidence: 99%

Section: High‐throughput Screening Of Diverse Sensing Materials For Amentioning

confidence: 99%

See 2 more Smart Citations

Rational Design of Semiconductor‐Based Chemiresistors and their Libraries for Next‐Generation Artificial Olfaction

2020

View full text Add to dashboard Cite

show abstract

“…The difference between using the combinatorial method in materials selection and array optimization is the parallel synthesizing of gas sensitive materials or gas sensing films of sensor devices. For example, the Simon group used sol-gel and polyol methods to parallel synthesize gas sensitive materials [ 19 , 20 , 21 , 22 ]. Sol-gel and polyol methods are material synthesis methods and may not be suitable for gas sensing film synthesis in the batch production of sensor devices.…”

Section: Introductionmentioning

confidence: 99%

A Set of Platforms with Combinatorial and High-Throughput Technique for Gas Sensing, from Material to Device and to System

et al. 2018

View full text Add to dashboard Cite

In a new E-nose development, the sensor array needs to be optimized to have enough sensitivity and selectivity for gas/odor classification in the application. The development process includes the preparation of gas sensitive materials, gas sensor fabrication, array optimization, sensor array package and E-nose system integration, which would take a long time to complete. A set of platforms including a gas sensing film parallel synthesis platform, high-throughput gas sensing unmanned testing platform and a handheld wireless E-nose system were presented in this paper to improve the efficiency of a new E-nose development. Inkjet printing was used to parallel synthesize sensor libraries (400 sensors can be prepared each time). For gas sensor selection and array optimization, a high-throughput unmanned testing platform was designed and fabricated for gas sensing measurements of more than 1000 materials synchronously. The structures of a handheld wireless E-nose system with low power were presented in detail. Using the proposed hardware platforms, a new E-nose development might only take one week.

show abstract

Discovery and Optimization of Sensing Materials Using Discrete and Gradient Arrays

Potyrailo

2012

Soft Matter Gradient Surfaces

View full text Add to dashboard Cite

Advances in high throughput screening of gas sensing materials

Cited by 25 publications

References 28 publications

Rational Design of Semiconductor‐Based Chemiresistors and their Libraries for Next‐Generation Artificial Olfaction

Rational Design of Semiconductor‐Based Chemiresistors and their Libraries for Next‐Generation Artificial Olfaction

A Set of Platforms with Combinatorial and High-Throughput Technique for Gas Sensing, from Material to Device and to System

Discovery and Optimization of Sensing Materials Using Discrete and Gradient Arrays

Contact Info

Product

Resources

About