Lossy Mode Resonance Optical Fiber Enhanced by Electrochemical-Molecularly Imprinted Polymers for Glucose Detection
Noninvasive glucose sensors are emergent intelligent sensors for analyzing glucose concentration in body fluids within invasion-free conditions. Conventional glucose sensors are often limited by a number of issues such as invasive and real-time detection, creating challenges in continuously characterizing biomarkers or subtle binding dynamics. In this study, we introduce an efficient lossy mode resonance (LMR) optical fiber sensor incorporating the molecularly imprinted polymers (MIPs) to amplify glucose molecules. A molecularly imprinted recognition platform is created on an LMR sensor surface through a convenient one-step electrochemical (EC) polymerization method, in which 3-Aminophenylboric acid and glucose serve as the functional monomer and template molecule, respectively. LMR resonance wavelength shift induced by the coupling of the optical lossy mode and the fiber core mode is employed as the parameter to characterize biomolecules. Due to its high sensitivity to surrounding environment changes, a limit of detection (LOD) of 4.62 × 10<sup>-2</sup> μmol/L for glucose can be achieved by this optical fiber sensor. Additionally, the prepared EC-MIPs LMR sensor is capable of detecting glucose molecules in human saliva samples with high accuracy, endowing its potential for practical applications.
Authors
- Ziyihui Wang (ORCID: https://orcid.org/0000-0002-8261-8298)
- Junfeng Jiang (ORCID: https://orcid.org/0000-0003-0393-8451)
- Tianhua Xu (ORCID: https://orcid.org/0000-0002-4920-7200)
- Shuang Wang (ORCID: https://orcid.org/0000-0001-9593-8357)
- Ke Tan (ORCID: https://orcid.org/0000-0002-7589-9255)
- Jianying Jing (ORCID: https://orcid.org/0000-0001-7187-2605)
- Tiegen Liu (ORCID: https://orcid.org/0000-0002-5691-7358)
- Kun Liu (ORCID: https://orcid.org/0000-0003-0542-1739)
- Xiang Liu (ORCID: https://orcid.org/0000-0001-8110-7106)
- Hongyu Liu (ORCID: https://orcid.org/0009-0002-4462-9305)
- Xiaoshuang Dai
Institutions
- Tianjin University (CN)
- Civil Aviation University of China (CN)
- University of Warwick (GB)
Publication Details
- Journal
- ACS Sensors
- Published
- 2024-10-31
- DOI
- https://doi.org/10.1021/acssensors.4c02032
- Citations
- 22
- Primary Topic
- Analytical Chemistry and Sensors
- Type
- article
- Field-Weighted Citation Impact
- 6.36
Funders
- National Natural Science Foundation of China
- National Key Research and Development Program of China