Highly sensitive graphene ammonia sensor enhanced by concentrated nitric acid treatment

石墨烯 检出限 吸附 拉曼光谱 硝酸 X射线光电子能谱 傅里叶变换红外光谱 材料科学 分析化学(期刊) 选择性 重复性 无机化学 化学 核化学 化学工程 纳米技术 色谱法 物理化学 有机化学 催化作用 光学 物理 工程类
作者
Quanfu Li,Wuliang Chen,Weihua Liu,Manli Sun,Minhua Xu,Huiling Peng,Haiyang Wu,Shuxiang Song,Tinghui Li,Xiaohu Tang
出处
期刊:Applied Surface Science [Elsevier]
卷期号:586: 152689-152689 被引量:3
标识
DOI:10.1016/j.apsusc.2022.152689
摘要

• After concentrated HNO 3 treatment, the response of graphene sensor increased by 3.02∼3.34 times for low concentration NH 3 test. • The response of the sensor is 40.9% and 3.08% under the ammonia concentration of 100 ppm and 0.5 ppm, respectively. • The theoretical detection limit of the graphene sensor towards NH 3 is 27 ppb. • HNO 3 treatment is a simple and low-cost but effective method to improve graphene sensor’s NH 3 -sensing performance. The ammonia (NH 3 )-sensing performance of graphene gas sensor treated with concentrated nitric acid (HNO 3 ) was systematically studied in this paper. The performance of graphene gas sensor has been significantly improved after simple immersion in concentrated HNO 3 (65 wt%) at a certain temperature (52 °C). In the test concentration range (20 ∼ 100 ppm), the NH 3 -response of the treated graphene gas sensor is increased by 3.02 ∼ 3.358 times, and the theoretical limit of detection (LOD) is 0.027 ppm (27 ppb). The treated sensor also shows good repeatability, stability and ultra-high selectivity. In the same concentration test, the response of NH 3 is dozens of times higher than others. XPS, FTIR and Raman spectra analysis revealed that the nondestructive introduction of oxygen-containing functional groups (NO 2 – ) onto graphene surface by concentrated HNO 3 treatment is considered to be the key to improve the NH 3 -sensing performance of graphene gas sensors. NO 2 – groups are supposed to provide abundant O atoms as effective adsorption sites to assist graphene to adsorb NH 3 , thus improving the NH 3 -response of graphene. A simple, effective and low-cost method is proposed to improve the NH 3 -sensing performance of graphene in this work, which is of great significance to promote the practical application of graphene gas sensor.
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