Polymer coated sensor array based on quartz crystal microbalance for chemical agent analysis

Ying, Zhihua; Jiang, Yadong; Du, Xiaosong; Xie, Guangzhong; Yu, Junsheng; Tai, Huiling

doi:10.1016/j.eurpolymj.2008.01.015

Cited by 50 publications

(23 citation statements)

References 13 publications

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“…4 shows DRIFTS spectra of DMMP adsorbed on F-TiO 2 at 30 • C. In the high-frequency region, similar methyl stretching vibrations were observed at 2956 and 2852 cm −1 for OCH 3 , 2995 cm −1 for a (CH 3 P) and 2927 cm −1 for s (CH 3 P). However, the low-frequency region is different.…”

Section: Interaction Of Dmmp With F-tiomentioning

confidence: 82%

“…The direct evidence is the broad peak around 3200 cm −1 , which can be attributed to (O-H) of the surface-bound decomposition product of CH 3 OH. Such surfacebound CH 3 OH is probably active enough to react in two pathways. One is that they may be oxidized as evidenced by the appearance of the peak at 1730 cm −1 , which is the (C O) of the surface-bound formaldehyde [26].…”

Section: Interaction Of Dmmp With F-tiomentioning

confidence: 99%

“…However, no band at 2831 cm −1 was observed at all measurement times, meaning no dissociative adsorption had occurred on the surface of TiO 2 . In fact, an on-line mass spectroscopy was also applied to detect any possible dissociation products such as CH 3 OH, and no signals of such products were recorded. The results reveal that the adsorption of DMMP on TiO 2 is nondissociative adsorption rather than dissociative adsorption, and the adsorption is through hydrogen bonding at the initial stage but through coordination to the Lewis acid sites later.…”

Section: Interaction Of Dmmp With Tiomentioning

confidence: 99%

“…A wide range of transducer technologies, including semiconductor sensor [1,2] and mass sensor (quartz crystal microbalance [3,4], surface acoustic wave [5] microcantilever [6]), as well as newly developed fabrication technologies, such as metal-insulator-metal ensemble (MIME) [7] and microelectromechanical system (MEMS) [7,8] have been applied to meet these challenges. Of all these technologies, mass sensors are one of the most attractive technologies for their high sensitivity and fast response.…”

Section: Introductionmentioning

confidence: 99%

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Effects of F doping on TiO2 acidic sites and their application in QCM based gas sensors

Zhao

Wang

et al. 2010

Sensors and Actuators B: Chemical

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a b s t r a c tTitanium dioxide (TiO 2 ) and fluorine doped titanium dioxide (F-TiO 2 ) particles were prepared by a onepot hydrothermal synthesis, and applied on quartz crystal microbalance (QCM) resonators to detect trace levels of nerve agent stimulant, dimethyl methylphosphonate (DMMP). DMMP sensing measurements exhibited that TiO 2 functionalized QCM resonators had fast response and recovery as well as satisfactory sensitivity. F-TiO 2 functionalized QCM resonators showed even faster response and higher sensitivity but rather slow recovery. The sensing mechanism and the effect of fluorine doping were examined by diffuse reflectance infrared Fourier transform spectroscopy, revealing that the adsorption took place at Brønsted acid sites at the initial stage and at Lewis acid sites later. Fluorine doping on TiO 2 greatly enhanced the acidity of Lewis acid sites, resulting in faster response but slower recovery than pure TiO 2 . X-ray diffraction analyses demonstrated that the fluorine doping could enhance the crystalinity of anatase.

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Section: Interaction Of Dmmp With F-tiomentioning

confidence: 82%

Section: Interaction Of Dmmp With F-tiomentioning

confidence: 99%

Section: Interaction Of Dmmp With Tiomentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Effects of F doping on TiO2 acidic sites and their application in QCM based gas sensors

Zhao

Wang

et al. 2010

Sensors and Actuators B: Chemical

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“…Often QCM sensors selectivity has been analyzed by using principal component analysis (PCA) [9][10][11] or hierarchical cluster analysis (HCA). 12,13 Recently the application of artificial neural networks (ANN) evolved as the dominant method.…”

mentioning

confidence: 99%

Data-driven modeling of nano-nose gas sensor arrays

et al. 2010

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We present a data-driven approach to classification of Quartz Crystal Microbalance (QCM) sensor data. The sensor is a nano-nose gas sensor that detects concentrations of analytes down to ppm levels using plasma polymorized coatings. Each sensor experiment takes approximately one hour hence the number of available training data is limited. We suggest a data-driven classification model which work from few examples. The paper compares a number of data-driven classification and quantification schemes able to detect the gas and the concentration level. The data-driven approaches are based on state-of-the-art machine learning methods and the Bayesian learning paradigm.

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Polyoxometalates and Metal–Organic Frameworks Based Dual-Functional Catalysts for Detoxification of Bis(2-Chloroethyl) Sulfide and Organophosphorus Agents

Taheri

2021

Catal Surv Asia

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Polymer coated sensor array based on quartz crystal microbalance for chemical agent analysis

Cited by 50 publications

References 13 publications

Effects of F doping on TiO2 acidic sites and their application in QCM based gas sensors

Effects of F doping on TiO2 acidic sites and their application in QCM based gas sensors

Data-driven modeling of nano-nose gas sensor arrays

Polyoxometalates and Metal–Organic Frameworks Based Dual-Functional Catalysts for Detoxification of Bis(2-Chloroethyl) Sulfide and Organophosphorus Agents

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