Computational Tool for Curve Smoothing Methods Analysis and Surface Plasmon Resonance Biosensor Characterization
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| Xuất bản năm: | Inventions vol. 10, no. 2 (2025), p. 31 |
|---|---|
| Tác giả chính: | |
| Tác giả khác: | , , , , |
| Được phát hành: |
MDPI AG
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| Những chủ đề: | |
| Truy cập trực tuyến: | Citation/Abstract Full Text + Graphics Full Text - PDF |
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MARC
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| 001 | 3194615507 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 2411-5134 | ||
| 024 | 7 | |a 10.3390/inventions10020031 |2 doi | |
| 035 | |a 3194615507 | ||
| 045 | 2 | |b d20250101 |b d20251231 | |
| 100 | 1 | |a Villarim, Mariana Rodrigues |u Department of Electrical Engineering, Federal University of Rio Grande do Norte (UFRN), Natal 59078-970, RN, Brazil; diomadson@dee.ufrn.br | |
| 245 | 1 | |a Computational Tool for Curve Smoothing Methods Analysis and Surface Plasmon Resonance Biosensor Characterization | |
| 260 | |b MDPI AG |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a Biosensors based on the surface plasmon resonance (SPR) technique are widely used for analyte detection due to their high selectivity and real-time detection capabilities. However, conventional SPR spectrum analysis can be affected by experimental noise and environmental variations, reducing the accuracy of results. To address these limitations, this study presents the development of an open-source computational tool to optimize SPR biosensor characterization, implemented using MATLAB App Designer (Version R2024b). The tool enables the importation of experimental data, application of different smoothing methods, and integration of traditional and hybrid approaches to enhance accuracy in determining the resonance angle. The proposed tool offers several innovations, such as integration of both traditional and hybrid (angle vs wavelength) analysis modes, implementation of four advanced curve smoothing techniques, including Gaussian filter, Savitzky–Golay, smoothing splines, and EWMA, as well as a user-friendly graphical interface supporting real-time data visualization, experimental data import, and result export. Unlike conventional approaches, the hybrid framework enables multidimensional optimization of SPR parameters, resulting in greater accuracy and robustness in detecting resonance conditions. Experimental validation demonstrated a marked reduction in spectral noise and improved consistency in resonance angle detection across conditions. The results confirm the effectiveness and practical relevance of the tool, contributing to the advancement of SPR biosensor analysis. | |
| 653 | |a Data transfer (computers) | ||
| 653 | |a Accuracy | ||
| 653 | |a Smoothing | ||
| 653 | |a Scientific visualization | ||
| 653 | |a Data smoothing | ||
| 653 | |a Sensors | ||
| 653 | |a Signal processing | ||
| 653 | |a Spline functions | ||
| 653 | |a Optimization | ||
| 653 | |a Spectrum analysis | ||
| 653 | |a White noise | ||
| 653 | |a Data analysis | ||
| 653 | |a Biosensors | ||
| 653 | |a Algorithms | ||
| 653 | |a Real time | ||
| 653 | |a Surface plasmon resonance | ||
| 653 | |a Light | ||
| 653 | |a Dimensional analysis | ||
| 653 | |a Software | ||
| 700 | 1 | |a Villarim Andréa Willa Rodrigues |u Center for Alternative and Renewable Research (CEAR), Federal University of Paraiba (UFPB), João Pessoa 58051-900, PB, Brazil; andrea.villarim@cear.ufpb.br (A.W.R.V.); oswaldo.ando@ufrpe.br (O.H.A.J.) | |
| 700 | 1 | |a Gazziro Mario |u Information Engineering Group, Department of Engineering and Social Sciences (CECS), Federal University of ABC (UFABC), Av. dos Estados, 5001, Santo André 09210-580, SP, Brazil; mario.gazziro@ufabc.edu.br | |
| 700 | 1 | |a Cavallari, Marco Roberto |u Faculdade de Engenharia Elétrica e de Computação (FEEC), Universidade Estadual de Campinas (UNICAMP), Av. Albert Einstein 400, Campinas 13083-852, SP, Brazil; mrcavall@unicamp.br | |
| 700 | 1 | |a Belfort Diomadson Rodrigues |u Department of Electrical Engineering, Federal University of Rio Grande do Norte (UFRN), Natal 59078-970, RN, Brazil; diomadson@dee.ufrn.br | |
| 700 | 1 | |a Ando Junior Oswaldo Hideo |u Center for Alternative and Renewable Research (CEAR), Federal University of Paraiba (UFPB), João Pessoa 58051-900, PB, Brazil; andrea.villarim@cear.ufpb.br (A.W.R.V.); oswaldo.ando@ufrpe.br (O.H.A.J.) | |
| 773 | 0 | |t Inventions |g vol. 10, no. 2 (2025), p. 31 | |
| 786 | 0 | |d ProQuest |t Advanced Technologies & Aerospace Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3194615507/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text + Graphics |u https://www.proquest.com/docview/3194615507/fulltextwithgraphics/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3194615507/fulltextPDF/embedded/6A8EOT78XXH2IG52?source=fedsrch |