Toward High Value Sensing: Monolayer-Protected Metal Nanoparticles in Multivariable Gas and Vapor Sensors
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2017/09/07
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By Potyrailo RA
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Description:For detection of gases and vapors in complex backgrounds, "classic" analytical instruments are an unavoidable alternative to existing sensors. Recently a new generation of sensors, known as multivariable sensors, emerged with a fundamentally different perspective for sensing to eliminate limitations of existing sensors. In multivariable sensors, a sensing material is designed to have diverse responses to different gases and vapors and is coupled to a multivariable transducer that provides independent outputs to recognize these diverse responses. Data analytics tools provide rejection of interferences and multi-analyte quantitation. This review critically analyses advances of multivariable sensors based on ligand-functionalized metal nanoparticles also known as monolayer-protected nanoparticles (MPNs). These MPN sensing materials distinctively stand out from other sensing materials for multivariable sensors due to their diversity of gas- and vapor-response mechanisms as provided by organic and biological ligands, applicability of these sensing materials for broad classes of gas-phase compounds such as condensable vapors and non-condensable gases, and for several principles of signal transduction in multivariable sensors that result in non-resonant and resonant electrical sensors as well as material- and structure-based photonic sensors. Such features should allow MPN multivariable sensors to be an attractive high value addition to existing analytical instrumentation. [Description provided by NIOSH]
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ISSN:0306-0012
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Volume:46
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Issue:17
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NIOSHTIC Number:nn:20069025
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Citation:Chem Soc Rev 2017 Sep; 46(17):5311-5346
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Contact Point Address:Radislav A. Potyrailo, GE Global Research, Niskayuna, New York 12309, USA
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Email:potyrailo@ge.com
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Federal Fiscal Year:2017
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Performing Organization:General Electric Company
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Peer Reviewed:True
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Start Date:20150817
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Source Full Name:Chemical Society Reviews
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End Date:20171017
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Main Document Checksum:urn:sha-512:5dedbefafab365c1919d2342b6b3e0d68d693748f3bf119da932fac7d155a05abb65c77e790e3c152d9cbc32cd75ea10bcb79642caaa896fc06046911f30ec95
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