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Journal of Biomedical Optics • Open Access • new

Enzyme-functionalized thin-cladding long-period fiber grating in transition mode at dispersion turning point for sugar-level and glucose detection
Author(s): Abdulyezir A. Badmos; Qizhen Sun; Zhongyuan Sun; Junxi Zhang; Zhijun Yan; Petro Lutsyk; Alex Rozhin; Lin Zhang

Paper Abstract

Enzyme-functionalized dual-peak long-period fiber grating (LPFG) inscribed in 80 - μ m -cladding B/Ge codoped single-mode fiber is presented for sugar-level and specific glucose detection. Before enzyme functionalization, the dual-peak LPFG was employed for refractive index sensing and sugar-level detection and high sensitivities of 4298.20    nm / RIU and 4.6696    nm / % were obtained, respectively. Glucose detection probe was attained by surface functionalization of the dual-peak LPFG via covalent binding with aminopropyl triethoxysilane used as a binding site. Optical micrographs confirmed the presence of enzyme. The surface-functionalized dual-peak LPFG was tested with D-(+)-glucose solution of different concentrations. While the peak 2 at the longer wavelength was suitable only to measure lower glucose concentration (0.1 to 1.6    mg / ml ) recording a high sensitivity of 12.21 ± 0.19    nm / ( mg / ml ) , the peak 1 at the shorter wavelength was able to measure a wider range of glucose concentrations (0.1 to 3.2    mg / ml ) exhibiting a maximum resonance wavelength shift of 7.12 ± 0.12    nm / mg / ml . The enzyme-functionalized dual-peak LPFG has the advantage of direct inscription of highly sensitive grating structures in thin-cladding fibre without etching, and most significantly, its sensitivity improvement of approximately one order of magnitude higher than previously reported LPFG and excessively tilted fibre grating (Ex-TFG) for glucose detection.

Paper Details

Date Published: 6 February 2017
PDF: 8 pages
J. Biomed. Opt. 22(2) 027003 doi: 10.1117/1.JBO.22.2.027003
Published in: Journal of Biomedical Optics Volume 22, Issue 2
Show Author Affiliations
Abdulyezir A. Badmos, Aston Univ. (United Kingdom)
Qizhen Sun, Huazhong Univ. of Science and Technology (China)
Zhongyuan Sun, Aston Univ. (United Kingdom)
Junxi Zhang, Aston Univ. (United Kingdom)
Zhijun Yan, Huazhong Univ. of Science and Technology (China)
Petro Lutsyk, Aston Univ. (United Kingdom)
Alex Rozhin, Aston Univ. (United Kingdom)
Lin Zhang, Aston Univ. (United Kingdom)


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