Literature DB >> 28234457

Highly Networked Capsular Silica-Porphyrin Hybrid Nanostructures as Efficient Materials for Acetone Vapor Sensing.

Izabela Osica1,2, Gaku Imamura1,3, Kota Shiba1, Qingmin Ji1,4, Lok Kumar Shrestha1, Jonathan P Hill1, Krzysztof J Kurzydłowski2, Genki Yoshikawa1,5, Katsuhiko Ariga1.   

Abstract

The development of novel functional nanomaterials is critically important for the further evolution of advanced chemical sensor technology. For this purpose, metalloporphyrins offer unique binding properties as host molecules that can be tailored at the synthetic level and potentially improved by incorporation into inorganic materials. In this work, we present a novel hybrid nanosystem based on a highly networked silica nanoarchitecture conjugated through covalent bonding to an organic functional molecule, a tetraphenylporphyrin derivative, and its metal complexes. The sensing properties of the new hybrid materials were studied using a nanomechanical membrane-type surface stress sensor (MSS) with acetone and nitric oxide as model analytes. This hybrid inorganic-organic MSS-based system exhibited excellent performance for acetone sensing at low operating temperatures (37 °C), making it available for diagnostic monitoring. The hybridization of an inorganic substrate of large surface area with organic molecules of various functionalities results in sub-ppm detection of acetone vapors. Acetone is an important metabolite in lipid metabolism and can also be present in industrial environments at deleterious levels. Therefore, we believe that the analysis system presented by our work represents an excellent opportunity for the development of a portable, easy-to-use device for monitoring local acetone levels.

Entities:  

Keywords:  acetone sensor; chemical sensor; metalloporphyrin; nanoflake−shell silica particles; nanomechanical surface stress type sensor; silica−porphyrin hybrid materials

Year:  2017        PMID: 28234457     DOI: 10.1021/acsami.6b15680

Source DB:  PubMed          Journal:  ACS Appl Mater Interfaces        ISSN: 1944-8244            Impact factor:   9.229


  7 in total

1.  Hybrid Silica Materials Applied for Fuchsine B Color Removal from Wastewaters.

Authors:  Ion Fratilescu; Zoltán Dudás; Mihaela Birdeanu; Camelia Epuran; Diana Anghel; Ionela Fringu; Anca Lascu; Adél Len; Eugenia Fagadar-Cosma
Journal:  Nanomaterials (Basel)       Date:  2021-03-28       Impact factor: 5.076

2.  Adsorption/Combustion-type Micro Gas Sensors: Typical VOC-sensing Properties and Material-design Approach for Highly Sensitive and Selective VOC Detection.

Authors:  Takeo Hyodo; Yasuhiro Shimizu
Journal:  Anal Sci       Date:  2020-02-14       Impact factor: 2.081

3.  Effects of Center Metals in Porphines on Nanomechanical Gas Sensing.

Authors:  Huynh Thien Ngo; Kosuke Minami; Gaku Imamura; Kota Shiba; Genki Yoshikawa
Journal:  Sensors (Basel)       Date:  2018-05-21       Impact factor: 3.576

4.  Free-hand gas identification based on transfer function ratios without gas flow control.

Authors:  Gaku Imamura; Kota Shiba; Genki Yoshikawa; Takashi Washio
Journal:  Sci Rep       Date:  2019-07-05       Impact factor: 4.379

5.  Hybrid Materials Based on Silica Matrices Impregnated with Pt-Porphyrin or PtNPs Destined for CO2 Gas Detection or for Wastewaters Color Removal.

Authors:  Diana Anghel; Anca Lascu; Camelia Epuran; Ion Fratilescu; Catalin Ianasi; Mihaela Birdeanu; Eugenia Fagadar-Cosma
Journal:  Int J Mol Sci       Date:  2020-06-15       Impact factor: 5.923

6.  Ni-CNT Chemical Sensor for SF₆ Decomposition Components Detection: A Combined Experimental and Theoretical Study.

Authors:  Yingang Gui; Xiaoxing Zhang; Peigeng Lv; Shan Wang; Chao Tang; Qu Zhou
Journal:  Sensors (Basel)       Date:  2018-10-16       Impact factor: 3.576

Review 7.  Review of advanced sensor devices employing nanoarchitectonics concepts.

Authors:  Katsuhiko Ariga; Tatsuyuki Makita; Masato Ito; Taizo Mori; Shun Watanabe; Jun Takeya
Journal:  Beilstein J Nanotechnol       Date:  2019-10-16       Impact factor: 3.649

  7 in total

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