检出限
材料科学
循环伏安法
介电谱
纳米复合材料
傅里叶变换红外光谱
分析化学(期刊)
核化学
电化学
纳米技术
化学
化学工程
色谱法
电极
物理化学
工程类
作者
Upasana Choudhari,Shweta Jagtap
出处
期刊:AIP Advances
[American Institute of Physics]
日期:2021-12-01
卷期号:11 (12)
被引量:20
摘要
Lung cancer (LC) is one of the major disease causes for cancer-related mortality. The detection of volatile organic compounds (VOCs) as lung cancer biomarkers will be useful for early stage detection. Hence, the development of electrochemical sensors to detect acetone and toluene as biomarkers below the allowed permissible limit in a sensitive and selective manner is essential. In this study, transition metal ion doped SnO2 nanocomposites have been developed by the hydrothermal method and used for the selective detection of LC biomarkers. The morphologies, structures, and chemical compositions of synthesized materials were studied using field-emission scanning electron microscopy (FESEM), x-ray diffraction, UV–visible spectroscopy, and Fourier transform infrared spectroscopy. The UV–visible study revealed that the doping of metal ions reduces the bandgap, and FESEM analysis showed a spherical like morphology that improves the adsorption sites on materials. Furthermore, cyclic voltammetry and electrochemical impedance spectroscopy revealed that the doping of transition metal ions improves the charge transfer ability and electrochemical activity of nanocomposites. The selective chemisorption of lung cancer biomarkers on metal-doped SnO2 nanocomposites helps in achieving a superior response with a broad linear detection range (20–100 ppb for toluene and 1–1000 ppb for acetone). In addition, the limit of detection achieved for toluene (1 ppb) and acetone (0.1 ppb) is well below the permissible limit for lung cancer patients. The fabricated nanocomposite is found to be highly selective toward acetone and toluene with a selectivity factor ranging from 1.8 to 12 and 6.6 to 10, respectively, as compared with other VOCs.
科研通智能强力驱动
Strongly Powered by AbleSci AI