N-doped polymeric resin-derived porous carbons as efficient ammonia removal and detection media

被引:60
作者
Travlou, Nikolina A. [1 ,2 ]
Bandosz, Teresa J. [1 ,2 ]
机构
[1] CUNY City Coll, Dept Chem, New York, NY 10031 USA
[2] CUNY City Coll, Grad Ctr, PhD Program Chem, New York, NY 10016 USA
基金
美国国家科学基金会;
关键词
SURFACE ENERGETICAL HETEROGENEITY; MODIFIED ACTIVATED CARBONS; FUNCTIONAL-GROUPS; FIXED-BED; ELECTROCHEMICAL PERFORMANCE; GEOMETRICAL CORRUGATION; REACTIVE ADSORPTION; NANOPOROUS CARBONS; ORGANIC AEROGELS; NITROGEN;
D O I
10.1016/j.carbon.2017.02.099
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
Nitrogen-containing polymeric resin-derived carbons were prepared and used as ammonia adsorbents at dynamic conditions in dry air. For their preparation different combinations of melamine/urea and phenol/resorcinol/formaldehyde were selected as the nitrogen and carbon sources, respectively. Surface structural and chemical features of the carbons were further modified by oxidizing the samples in air at 350 degrees C. The adsorption capacity significantly increased after this process, reaching 73 mg/g, which, to the best of our knowledge, is higher than those reported in the literature for other carbon materials. It was found that the specific surface chemistry, arising from the type of the nitrogen source used for the preparation of the carbons, governs the ammonia adsorption mechanism. Nitrogen located in six membered rings in the form of pyridines, pyridine-N-oxides and quaternary nitrogen, rather than other peripheral nitrogen species (amines, amides), was found to enhance ammonia adsorption. The air oxidized samples also showed high sensitivities as ammonia sensors. A linear correlation between the sensor response and the number of weakly acidic groups was observed. The material with the highest adsorption capacity showed the optimal electrical performance. Melamine-phenol-urea was found to be the best combination of precursors leading to the highest ammonia uptake and sensitivity in the application as a gas sensor. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:228 / 239
页数:12
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