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author:

Guo, C. (Guo, C..) [1] | Pan, Z. (Pan, Z..) [2] | Huang, Z. (Huang, Z..) [3] | Zou, Z. (Zou, Z..) [4] | Huang, F. (Huang, F..) [5]

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Scopus

Abstract:

The precise biomolecular detection is crucial in medical diagnosis, biological research, and bioengineering. In this paper, a phase multiplexing based molecularly imprinted polymer biosensor (PM-MIPB) is proposed. It considers the high throughput and non-labeling detection mode by multiplexing without increasing the number of scanning and detecting elements, as well as the high specificity and affinity of molecular imprinting technology, to improve the throughput and accuracy of molecular detection. Phase multiplexing originates from phase-sensitive spectral-domain optical coherence tomography, where the low-coherence interferometric spectra with multiple optical path differences are spectrally analyzed to identify and extract the interferometric phases across these paths. Based on this principle, simultaneous quantitative detection and interaction analysis of multiple analytes can be realized by preparing multiple optical-path difference-encoded (also thickness-encoded) detection channels and simultaneously extracting the phases of the interfering signals. Furthermore, PM-MIPB utilizes molecularly imprinted polymer as an alternative to antigen-antibody systems, creating selective recognition sites through specific template molecules to achieve highly selective, specific and stable detection of target molecules. Theoretically, PM-MIPB can simultaneously measure up to 255 biomolecules, with a detection speed of 0.025 seconds, recovery rate ranging from 95.65% to 103.41%, and sensitivity of 4.05×10-3 nm·mL/μg. By integrating phase multiplexing with molecular imprinting, PM-MIPB meets the high demand for efficient, high-throughput, and accurate biomolecular detection in life science field. © 2001-2012 IEEE.

Keyword:

biosensor molecular imprinting optical coherence tomography phase multiplexing

Community:

  • [ 1 ] [Guo C.]Fuzhou University, Department of Mechanical Engineering and Automation, China
  • [ 2 ] [Pan Z.]Fuzhou University, Department of Mechanical Engineering and Automation, Fuzhou, 350000, China
  • [ 3 ] [Huang Z.]Fuzhou University, Department of Mechanical Engineering and Automation, Fuzhou, 350000, China
  • [ 4 ] [Zou Z.]Fuzhou University, Department of Mechanical Engineering and Automation, Fuzhou, 350000, China
  • [ 5 ] [Huang F.]Fuzhou University, Department of Mechanical Engineering and Automation, Fuzhou, 350000, China

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Source :

IEEE Sensors Journal

ISSN: 1530-437X

Year: 2024

4 . 3 0 0

JCR@2023

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ESI Highly Cited Papers on the List: 0 Unfold All

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30 Days PV: 2

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