Ultra-sensitive detection of triethylamine (TEA) using LMR/LSPR based fiber optic probe

被引:0
|
作者
Jyoti [1 ,2 ]
Verma, R. K. [1 ,2 ]
机构
[1] Cent Univ Rajasthan, Dept Phys, Bandarsindri Ajmer 305817, India
[2] Univ Allahabad, Dept Phys, Prayagaraj 211002, Uttar Pradesh, India
关键词
triethylamine; porphyrin; sensors; ZnO nanorods; fiber optics; hybrid materials; porphyrin synthesis; ZNO NANOPARTICLES; GROWTH; METABOLISM; COMPLEXES; NANORODS; SENSOR;
D O I
10.1088/1402-4896/ad3d39
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
The excessive intake and inhalation of Triethylamine (TEA), which is an essential ingredient of pharmaceuticals, emulsifiers, dyestuff, soaps, rubber production etc, can cause health hazards such as blue haze, blurry vision, nausea, headache, and faintness; and to prevent the human beings from these hazards, it is crucial to detect TEA level. The present study explores the detection of TEA, using ZnO nanorods and porphyrin coated optical fiber probes. These probes have been synthesized and the topography, composition and morphology of different layers have been confirmed using FESEM, EDX and NMR characterizations. The sensitivity of this hybrid material-based probe has been estimated and was found to be 7-fold to the sensitivity of the metal oxide (ZnO nanorods) based fiber optic probe. The selectivity study has also been performed and it was observed that the analyte TEA has highest response (83.495 nm shift in peak wavelength) compared to other analytes such as the ethanol. This hybrid material-based fiber-optic probe offers the better selectivity and sensitivity for TEA and provides a very quick response time.
引用
收藏
页数:12
相关论文
共 50 条
  • [1] Selective detection of urea as milk adulterant using LMR based Fiber Optic Probe
    Jyoti
    Kavita
    Verma, R. K.
    JOURNAL OF FOOD COMPOSITION AND ANALYSIS, 2022, 114
  • [2] Recent advance on fiber optic SPR/LSPR-based ultra-sensitive biosensors using novel structures and emerging signal amplification strategies
    Zhou, Siqin
    Li, Jiulong
    Zhang, Qiuyang
    Tong, Yi
    Qi, Xuan
    Duan, Yixiang
    Zhang, Xudong
    Luo, Zewei
    Li, Yongxin
    OPTICS AND LASER TECHNOLOGY, 2024, 175
  • [3] LSPR based Ultra-sensitive low cost U-bent optical fiber for volatile liquid sensing
    Paul, D.
    Dutta, S.
    Saha, D.
    Biswas, R.
    SENSORS AND ACTUATORS B-CHEMICAL, 2017, 250 : 198 - 207
  • [4] Seven-Core Tapered Optical Fiber LSPR Biosensor With CMC Structure for Ultra-Sensitive Detection of Paraoxon in Environmental Monitoring
    Men, Zhenpeng
    Singh, Ragini
    Zhang, Bingyuan
    Kumar, Santosh
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2025, 74
  • [5] Ultra-sensitive triethylamine gas sensor based on ZnO/MoO3 heterostructures with ppb level detection
    Zhang, Shuai
    Song, Peng
    Wang, Qi
    Ding, Yongling
    SENSORS AND ACTUATORS B-CHEMICAL, 2023, 379
  • [6] Ultra-sensitive probe of spectral line structure and detection of isotopic oxygen
    Garner, Richard M.
    Dharamsi, A. N.
    Khan, M. Amir
    APPLIED PHYSICS B-LASERS AND OPTICS, 2018, 124 (01):
  • [7] Highly porous ZnO modified with photochemical deposition of silver nanostructure for ultra-sensitive triethylamine detection
    Sun, Yue
    Liu, Zhuo
    Zhang, Yuchi
    Han, Le
    Xu, Yan
    SENSORS AND ACTUATORS B-CHEMICAL, 2023, 391
  • [8] Multi-metal functionalized tungsten oxide nanowires enabling ultra-sensitive detection of triethylamine
    Xu, Yongshan
    Ma, Tiantian
    Zhao, Yingqiang
    Zheng, Lingli
    Liu, Xianghong
    Zhang, Jun
    SENSORS AND ACTUATORS B-CHEMICAL, 2019, 300
  • [9] Cascade signal amplification for ultra-sensitive impedimetric detection of DNA hybridization using a hairpin DNA as probe
    Wang, Wei
    Yuan, Xiaqing
    Zhang, Wenyan
    Gao, Qiang
    Qi, Honglan
    Zhang, Chengxiao
    ELECTROCHIMICA ACTA, 2012, 78 : 377 - 383
  • [10] Rapid ultra-sensitive nucleic acid detection using plasmonic fiber-optic spectral combs and gold nanoparticle-tagged targets
    Shen, Changyu
    Huang, Zhenlin
    Chen, Xiaoman
    Wang, Zhihao
    Zhou, Jun
    Wang, Zhaokun
    Liu, Dejun
    Li, Chenxia
    Zhao, Tianqi
    Zhang, Yang
    Xu, Shiqing
    Zhou, Wenjun
    Peng, Wei
    BIOSENSORS & BIOELECTRONICS, 2023, 242