Resolution enhancement of angular plasmonic biochemical sensors via optimizing centroid algorithm

Wang, Guiqiang; Shi, Junjie; Zhang, Qi; Wang, Ruilong; Huang, Liang

doi:10.1016/j.chemolab.2022.104531

Cited by 8 publications

(2 citation statements)

References 48 publications

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“…In the case of an asymmetric shape, the resonance peak does not have to coincide with the place of the lowest transmission value. Modifications of the basic centroid method have been proposed for spectroscopic measurements of surface plasmons [22,23].…”

Section: Cross-correlation Phase Correlation and Their Modificationsmentioning

confidence: 99%

Analysis of Demodulation Methods of Tilted Fibre Bragg Gratings Based on the Local Shift of the Cladding Mode Group

Cięszczyk,

Skorupski,

Panas

2024

Applied Sciences

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Tilted fibre Bragg gratings are optical fibre structures used as sensors of various physical quantities. However, their most popular application is to measure the refractive index of liquids. In such applications, it is important to obtain high measurement accuracy and the ability to distinguish two slightly different values of the refractive index. For this purpose, not only an appropriate periodic structure is needed, but also a demodulation method. We propose averaging the shift of a group of cladding modes. We use the TFBG grating, of which not all cladding modes exceed the cut-off limit. Such modes are not subject to leakage but only to shifts under the influence of SRI changes. To determine the average shift of a group of modes, we analyse cross-correlation algorithms of intensity-transformed optical spectra. Next, the cross-correlation main lobe is analysed by the centroid method, the Fourier phase and the Hilbert transform. Furthermore, phase changes of the main Fourier frequency are used to estimate a shift of part of the optical spectrum. Additionally, we propose the correction of the determined shift using a shift of another group of modes of the same TFBG grating.

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Section: Cross-correlation Phase Correlation and Their Modificationsmentioning

confidence: 99%

Analysis of Demodulation Methods of Tilted Fibre Bragg Gratings Based on the Local Shift of the Cladding Mode Group

Cięszczyk,

Skorupski,

Panas

2024

Applied Sciences

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“…To solve this problem, the detection limit of local surface plasmon resonance biosensors is further intricately tied to the processing method of sensing signals. Numerous researchers optimize the data processing methods for LSPR peak wavelength through several key strategies: the first is advanced spectral analysis algorithms, such as polynomial curve fitting [4,5], wavelet transforms [6,7], fixed baseline algorithm [8], dynamic baseline algorithm [9], constant algorithm [10], and so on. The second is adaptive data filtering, such as Savitzky-Golay polynomial filter [11,12], wavelet transform [13], singular value decomposition [14], morphological filtering [15], and so on.…”

Section: Introductionmentioning

confidence: 99%

Integrated LSPR Biosensing Signal Processing Strategy and Visualization Implementation

Zhou,

Geng

2024

Micromachines

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The LSPR biosensor chip is a groundbreaking tool popular in laboratory settings for identifying disease markers. However, its use in clinical environments is not as widespread. One notable gap is the lack of a universal signal processing tool for LSPR biosensing. To escalate its precision, there is an emerging need for software that not only optimizes signal processing but also incorporates self-verification functionalities within LSPR biochemical sensors. Enter the visual LSPR sensor software—an innovative platform that processes real-time transmission or reflection spectra. This advanced software adeptly captures the nuanced structural changes at the nanostructure interface prompted by environmental fluctuations. It diligently records and computes a suite of parameters, including the resonance wavelength shift, full width at half maximum, sensitivity, and quality factor. These features empower users to tailor processing algorithms for each data capture session. Transcending traditional instruments, this method accommodates a multitude of parameters and ensures robust result validation while tactfully navigating nanostructure morphology complexities. Forsaking third-party tool dependencies, the software tackles challenges of precision and cost-effectiveness head-on, heralding a significant leap forward in nanophotonics, especially for high-throughput LSPR biosensing applications. This user-centric innovation marks substantial progress in biochemical detection. It is designed to serve both researchers and practitioners in the field of nanophotonic sensing technology, simplifying complexity while enhancing reliability and efficiency.

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Sensing performance enhancement of plasmonic waveguide sensor using a bimodal strategy with digital Gaussian filter

Wang,

Xu,

Ren

et al. 2024

Chemometrics and Intelligent Laboratory Systems

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Resolution enhancement of angular plasmonic biochemical sensors via optimizing centroid algorithm

Cited by 8 publications

References 48 publications

Analysis of Demodulation Methods of Tilted Fibre Bragg Gratings Based on the Local Shift of the Cladding Mode Group

Analysis of Demodulation Methods of Tilted Fibre Bragg Gratings Based on the Local Shift of the Cladding Mode Group

Integrated LSPR Biosensing Signal Processing Strategy and Visualization Implementation

Sensing performance enhancement of plasmonic waveguide sensor using a bimodal strategy with digital Gaussian filter

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