• Aucun résultat trouvé

Chemical sensor based on carbon nanotube combined to a pre-concentrator nanoporous layer for the detection of benzene

N/A
N/A
Protected

Academic year: 2021

Partager "Chemical sensor based on carbon nanotube combined to a pre-concentrator nanoporous layer for the detection of benzene"

Copied!
2
0
0

Texte intégral

(1)

HAL Id: cea-02328549

https://hal-cea.archives-ouvertes.fr/cea-02328549

Submitted on 23 Oct 2019

HAL is a multi-disciplinary open access

archive for the deposit and dissemination of

sci-entific research documents, whether they are

pub-lished or not. The documents may come from

teaching and research institutions in France or

abroad, or from public or private research centers.

L’archive ouverte pluridisciplinaire HAL, est

destinée au dépôt et à la diffusion de documents

scientifiques de niveau recherche, publiés ou non,

émanant des établissements d’enseignement et de

recherche français ou étrangers, des laboratoires

publics ou privés.

Chemical sensor based on carbon nanotube combined to

a pre-concentrator nanoporous layer for the detection of

benzene

Eva Grinenval, Frank James, Dominique Porterat, Farhad Abedini,

Marie-Pierre Som, Thu-Hoa Tran-Thi, Martine Mayne-L'hermite

To cite this version:

Eva Grinenval, Frank James, Dominique Porterat, Farhad Abedini, Marie-Pierre Som, et al.. Chemical

sensor based on carbon nanotube combined to a pre-concentrator nanoporous layer for the detection

of benzene. Carbon 2019, Jul 2019, Lexington, United States. �cea-02328549�

(2)

Chemical sensor based on carbon nanotube combined to a pre-concentrator

nanoporous layer for the detection of benzene

Eva Grinenval

1

, Frank James

1

, Dominique Porterat

1

, Farhad Abedini

2

, Marie-Pierre Som

2

,

Thu-hoa Tran-Thi

1

, Martine Mayne-L’Hermite

1

1NIMBE, CEA, CNRS, Université Paris-Saclay 91191 Gif –sur-Yvette, France, 2ETHERA, 628 rue Charles de Gaulle, 38920 Crolles, France

Corresponding authors e-ail addresses: martine.mayne@cea.fr

Over the years, great effort has been made to use carbon nanotubes (CNT) as gas sensing materials with high specific surface area for detection of gases [1, 2]. Our objective is to design and optimize a chemical sensor based on CNT whose sensitivity arises via coupling with a pre-concentration nanoporous silica layer. The detection mechanism is based on the resistance change of CNT upon gas exposure which is due to the p-type semiconducting behavior of the CNTs [3]. Our choice of nanoporous silica as pre-concentrator for the sensor is based on previous work that has shown the ability of various thick nanoporous silica matrices to trap benzene and toluene over the ppb to ppm range [4]. Here we will show that it is possible to use a thin layer of functionalized silica as pre-concentrator to trap and concentrate benzene and toluene at the vicinity of CNT.

The MWCNTs were covered with a nanoporous SiO2 layer whose function is to concentrate the pollutant

in order to enhance the sensor performances. We will describe the preparation of the sensor and highlight the beneficial effects of both the pre-concentration layer and the operating temperature. Thus, the mechanism involved with the functionalized silica layer will be discussed. MWCNT/SiO2-based

sensors operated at 125°C are able to detect 10 ppb of benzene in air. These results underline the potential of this MWCNTs/SiO2 hybrid material for the detection of indoor and outdoor air pollutants.

Recent developments have also demonstrated that this technology can be integrated into a prototype device.

References

[1] D.R. Kauffman, A. Star, Carbon Nanotube Gas and Vapor Sensors, Angewandte Chemie International Edition 47 (2008) 6550-6570

[2] I. V. Zaporotskovaa, N. P. Borozninaa , Y. N. Parkhomenkob , L. V. Kozhitovb, Carbon nanotubes: Sensor properties. A review, Modern Electronic Materials 2 (2016) 95–105

[3] A. Gohier, J. Chancolon, P.Chenevier, D. Porterat, M. Mayne-L'Hermite, C. Reynaud, Optimized network of multi-walled carbon nanotubes for chemical sensing, Nanotechnology 22 (2011)

[4] L. Calvo-Muñoz, T-T. Truong, T-H. Tran-Thi, Chemical sensors of monocyclic aromatic hydrocarbons based on sol–gel materials: kinetics of trapping of the pollutants and sensitivity of the sensor, Sensors and Actuators B: Chemical 87 (2002) 173-183

Références

Documents relatifs

Vegetation physiognomic classes used to assess phenospectral changes from April to June 2016 using field spectroscopy and airborne hyperspectral data at the Mer Bleue

J’ai bien vu les trois disques lumineux faire leur ronde dans le ciel, mais de l’endroit où je me trouvais, je pouvais voir ce que lui et ses enfants n’avaient pu voir : les trois

Cities can decide to promote certain kinds of agricul- ture by facilitating farmers’ access to the food-service market, which is both large and stable. For example, they can decide

Because ASIC3 is largely expressed in sensory neurons innervat- ing the hindpaw muscles (including the plantar muscle), where it constitutes the main ASIC-type current (Figs. 1, 2),

ﺔﻣﺪﻘﻣ [2] ﻰﻟإ مﻮﯾ ﻦﻣ دﺪﻌﺘﺗ و رﻮﻄﺘﺗ ﺎھﺪﺠﻧ ﻲﺘﻟا ةﺎﯿﺤﻟا تﺎﺒﻠﻄﺘﻣ ﻊﻣ بوﺎﺠﺘﻟا ﻰﻟإ ﻰﻌﺴﯾ ﻮھ و ﺎﻣود نﺎﺴﻧﻹا ﺶﯿﻌﯾ ﻰﻟإ ﮫﻌﻓﺪﺗ تﺎﯿﻌﺿو ﮫﯿﻠﻋ ﺮﻤﺗ ﺎﻣ اﺮﯿﺜﻜﻓ ، ةﺮﺷﺎﺒﻣ ﺮﯿﻏ

A Site Director regulates the number of pilots to submit in a given LRMS queue according to the number of pilots running, scheduled and submitted, related to this queue, and also

The proposed method establishes a multifractal analysis framework of such images based on a new multiresolution indicator, called the maximum wavelet coefficient,

The kinetics of this grain growth mechanism is very fast, since the sub-grain rotation rate is inversely proportional to the fourth power of its radius (Eq. Therefore, decrease in