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Optimally configured optical fiber near-field enhanced plasmonic resonance immunoprobe for the detection of alpha-fetoprotein
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Jing, Jianying, Liu, Kun, Jiang, Junfeng, Xu, Tianhua, Xiao, Lu, Zhan, Xiaohan and Liu, Tiegen (2023) Optimally configured optical fiber near-field enhanced plasmonic resonance immunoprobe for the detection of alpha-fetoprotein. Advanced Science, 10 (15). 2207437. doi:10.1002/advs.202207437 ISSN 2198-3844.
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Official URL: https://doi.org/10.1002/advs.202207437
Abstract
The detection of trace biomarkers is an important supplementary approach for early screening and diagnoses of tumors. An optical fiber near-field enhanced plasmonic resonance immunoprobe is developed for the detection of the hepatocellular carcinoma biomarker, i.e., the alpha-fetoprotein. Generic principles based on dispersion models and finite element analysis (FEA) models are developed to realize the optimized configuration of spectral characteristics of the immunoprobe. Dispersion models provide theoretical guidance for the design of the multilayer sensing structure from the perspective of the ray optics theory. FEA models provide theoretical guidance for the selection of coating materials from the perspective of the self-defined dielectric constant ratio, i.e., the ratio of the real part to the imaginary part. The optimized configuration of the antibody coupling further improves the biosensing performance of the immunoprobe. The limit of detection (LOD) can reach down to 0.01 ng mLâ1, which is one order of magnitude lower than those relevant reported works. Such a low LOD can more effectively avoid the accuracy degradation of detection results due to measurement errors. Human serum samples have also been detected, with the good precision achieved. This work shows promising prospects in applications of label-free, low-cost, rapid, and convenient early screening of tumors.
Item Type: | Journal Article | |||||||||||||||
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Subjects: | Q Science > QH Natural history Q Science > QP Physiology R Medicine > RC Internal medicine > RC0254 Neoplasms. Tumors. Oncology (including Cancer) T Technology > TK Electrical engineering. Electronics Nuclear engineering |
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Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | |||||||||||||||
Library of Congress Subject Headings (LCSH): | Alpha fetoproteins, Plasmonics, Near-field microscopy, Optical fibers, Tumors -- Diagnosis | |||||||||||||||
Journal or Publication Title: | Advanced Science | |||||||||||||||
Publisher: | Wiley - V C H Verlag GmbH & Co. KGaA | |||||||||||||||
ISSN: | 2198-3844 | |||||||||||||||
Official Date: | 26 May 2023 | |||||||||||||||
Dates: |
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Volume: | 10 | |||||||||||||||
Number: | 15 | |||||||||||||||
Article Number: | 2207437 | |||||||||||||||
DOI: | 10.1002/advs.202207437 | |||||||||||||||
Status: | Peer Reviewed | |||||||||||||||
Publication Status: | Published | |||||||||||||||
Access rights to Published version: | Open Access (Creative Commons) | |||||||||||||||
Date of first compliant deposit: | 6 March 2023 | |||||||||||||||
Date of first compliant Open Access: | 4 May 2023 | |||||||||||||||
RIOXX Funder/Project Grant: |
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