Artificial Receptor-Based Optical Sensors (AROS): Ultra-Sensitive Detection of Urea

被引:23
|
作者
Gorai, Pintu [1 ]
Jha, Rajan [1 ]
机构
[1] Indian Inst Technol, Sch Basic Sci, Nanophoton & Plasmon Lab, Bhubaneswar 752050, Odisha, India
来源
ADVANCED PHOTONICS RESEARCH | 2021年 / 2卷 / 08期
关键词
biosensors; interferometry; molecular imprinting polymers; tapered microfibers; urea;
D O I
10.1002/adpr.202100044
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The combined approach of optical fiber interferometry with molecular imprinting technology has shown a tremendous potential for developing a specific and sophisticated bio-detection system with high degree of resolution and sensitivity. However, the specificity limitation of the fiber optic sensors renders them unsuitable for several key applications. Molecular imprinted polymer (MIP), an indispensable artificial molecular receptor with a complementary structure and functionality for the target analyte, possesses the ability to overcome the limitations of specificity. Therefore, a new class of artificial receptor-based optical sensors (AROS) constructed from an optical fiber interferometer integrated with artificial MIP for selective and ultrasensitive sensing of urea is demonstrated. The sensor device shows an unprecedented sensitivity of 0.584x10(11)nmm (-1) and a lower detection limit of 17.1fM with a wide dynamic range of 10(-11)-10(-4)m. This demonstration of an ultrasensitive, selective, and accurate AROS system is bound to find potential applications that requires remote sensing in harsh environmental conditions with large fluctuations in the temperature, pressure, and humidity.
引用
收藏
页数:8
相关论文
共 50 条
  • [21] Optical simulation of an ultra-sensitive thermometer based on atom interferometry
    Xu, Bowen
    Zhou, Shuyu
    Zhou, Changhe
    OPTICS AND LASER TECHNOLOGY, 2024, 174
  • [22] Ultra-sensitive DNA detection on microarrays
    Jacak, J
    Hesse, J
    Hesch, C
    Kasper, M
    Aberger, F
    Frischauf, A
    Sonnleitner, M
    Freudenthaler, G
    Howorka, S
    Schütz, GJ
    Imaging, Manipulation, and Analysis of Biomolecules and Cells: Fundamentals and Applications III, 2005, 5699 : 442 - 449
  • [23] Graphene-Polyaniline composite based ultra-sensitive electrochemical sensor for non-enzymatic detection of urea
    Sha, Rinky
    Komori, Kikuo
    Badhulika, Sushmee
    ELECTROCHIMICA ACTA, 2017, 233 : 44 - 51
  • [24] Surface plasmons and Bloch surface waves: Towards optimized ultra-sensitive optical sensors
    Lereu, A. L.
    Zerrad, M.
    Passian, A.
    Amra, C.
    APPLIED PHYSICS LETTERS, 2017, 111 (01)
  • [25] Micro-cavity optimization for ultra-sensitive all-dielectric optical sensors
    Rouquette, Paul
    Amra, Claude
    Zerrad, Myriam
    Lequime, Michel
    OPTICS EXPRESS, 2022, 30 (09): : 15344 - 15364
  • [26] A highly resilient and ultra-sensitive hydrogel for wearable sensors
    Luo, Chunhui
    Huang, Min
    Liu, Hongmin
    JOURNAL OF APPLIED POLYMER SCIENCE, 2022, 139 (15)
  • [27] Processing and optical characterization of ultra-sensitive humidity and pressure sensors based on polyaniline/holmium oxide hybrid nanocomposites
    Ali, Tauseef
    Shah, Mutabar
    SENSORS AND ACTUATORS A-PHYSICAL, 2021, 331
  • [28] Ultra-sensitive terahertz metamaterial sensors hybridized with graphene for trace detection of the cancer biomarker
    Wu, Jintao
    Wang, Zongliang
    Liang, Lanju
    Yao, Haiyun
    Li, Zhenhua
    Tian, Huihan
    Wang, Ziqun
    Hu, Xiaofei
    Zhang, Tongqun
    Ma, Shiwu
    Huai, Fei
    Shi, Zhaoyang
    OPTICS COMMUNICATIONS, 2025, 574
  • [29] Advances on ultra-sensitive electrospun nanostructured electrochemical and colorimetric sensors for diabetes mellitus detection
    Mohamed Hasaan Hussain
    Lim Ping Fook
    Maria Kana Sanira Putri
    Huey Ling Tan
    Noor Fitrah Abu Bakar
    Norbert Radacsi
    Nano Materials Science, 2021, (04) : 321 - 343
  • [30] Damage detection for structural health monitoring using ultra-sensitive flexible piezoelectret sensors
    Wang, Guocheng
    Qiu, Wenying
    Liu, Ying
    Bai, Yunfei
    Cao, Chengran
    Tang, Fei
    Wang, Xiaohao
    Zhang, Min
    STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL, 2023, 22 (04): : 2800 - 2812