Human heart failure biomarker immunosensor based on excessively tilted fiber gratings

Abstract

A label-free immunosensor platform based on excessively tilted fiber gratings (Ex- TFGs) was developed for highly specific and fast detection of human N-terminal pro-B-type natriuretic peptide (NT-proBNP), which is considered a powerful biomarker for prognosis and risk stratification of heart failure (HF). High-purity anti-NT-proBNP monoclonal antibodies (MAbs) prepared in our laboratory were immobilized on fiber surface through the staphylococcal protein A (SPA) method for subsequent specific binding of the targeted NTproBNP. Utilizing fiber optic grating demodulation system (FOGDS), immunoassays were carried out in vitro by monitoring the resonance wavelength shift of Ex-TFG biosensor with immobilized anti-NT-proBNP MAbs. Lowest detectable concentration of ~0.5ng/mL for NTproBNP was obtained, and average sensitivity for NT-proBNP at a concentration range of 0~1.0 ng/mL was approximately 45.967 pm/(ng/mL). Several human serum samples were assessed by the proposed Ex-TFG biomarker sensor, with high specificity for NT-proBNP, indicating potential application in early diagnosing patients with acute HF symptoms.

Publication DOI: https://doi.org/10.1364/BOE.8.000057
Divisions: Engineering & Applied Sciences > Electrical, Electronic & Power Engineering
Engineering & Applied Sciences > Aston Institute of Photonics Technology
Additional Information: © 2016 Optical Society of America
Uncontrolled Keywords: biological sensing and sensors,fiber optics sensors,medical optics and biotechnology,Biotechnology,Atomic and Molecular Physics, and Optics
Full Text Link:
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Article
Published Date: 2017-01-01
Published Online Date: 2016-12-05
Accepted Date: 2016-11-30
Submitted Date: 2016-08-01
Authors: Luo, Binbin
Wu, Shengxi
Zhang, Zhonghao
Zou, Wengen
Shi, Shenghui
Zhao, Mingfu
Zhong, Nianbing
Liu, Yong
Zou, Xue
Wang, Lingling
Chai, Weina
Hu, Chuanmin
Zhang, Lin ( 0000-0002-1691-5577)

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