Literature DB >> 28776611

Toward high value sensing: monolayer-protected metal nanoparticles in multivariable gas and vapor sensors.

Radislav A Potyrailo1.   

Abstract

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.

Entities:  

Year:  2017        PMID: 28776611     DOI: 10.1039/c7cs00007c

Source DB:  PubMed          Journal:  Chem Soc Rev        ISSN: 0306-0012            Impact factor:   54.564


  3 in total

1.  Bio-inspired gas sensing: boosting performance with sensor optimization guided by "machine learning".

Authors:  R A Potyrailo; J Brewer; B Cheng; M A Carpenter; N Houlihan; A Kolmakov
Journal:  Faraday Discuss       Date:  2020-10-23       Impact factor: 4.008

2.  Cyclodextrin polymer networks decorated with subnanometer metal nanoparticles for high-performance low-temperature catalysis.

Authors:  Tiefan Huang; Guan Sheng; Priyanka Manchanda; Abdul H Emwas; Zhiping Lai; Suzana Pereira Nunes; Klaus-Viktor Peinemann
Journal:  Sci Adv       Date:  2019-11-01       Impact factor: 14.136

3.  Identification of Chemical Vapor Mixture Assisted by Artificially Extended Database for Environmental Monitoring.

Authors:  Hi Gyu Moon; Youngmo Jung; Beomju Shin; Donggeun Lee; Kayoung Kim; Deok Ha Woo; Seok Lee; Sooyeon Kim; Chong-Yun Kang; Taikjin Lee; Chulki Kim
Journal:  Sensors (Basel)       Date:  2022-02-03       Impact factor: 3.576

  3 in total

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