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Imaging-based intelligent spectrometer on a plasmonic rainbow chip
Compact, lightweight, and on-chip spectrometers are required to develop portable and handheld sensing and analysis applications. However, the performance of these miniaturized systems is usually much lower than their benchtop laboratory counterparts due to oversimplified optical architectures. Here,...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10076426/ https://www.ncbi.nlm.nih.gov/pubmed/37019920 http://dx.doi.org/10.1038/s41467-023-37628-0 |
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author | Tua, Dylan Liu, Ruiying Yang, Wenhong Zhou, Lyu Song, Haomin Ying, Leslie Gan, Qiaoqiang |
author_facet | Tua, Dylan Liu, Ruiying Yang, Wenhong Zhou, Lyu Song, Haomin Ying, Leslie Gan, Qiaoqiang |
author_sort | Tua, Dylan |
collection | PubMed |
description | Compact, lightweight, and on-chip spectrometers are required to develop portable and handheld sensing and analysis applications. However, the performance of these miniaturized systems is usually much lower than their benchtop laboratory counterparts due to oversimplified optical architectures. Here, we develop a compact plasmonic “rainbow” chip for rapid, accurate dual-functional spectroscopic sensing that can surpass conventional portable spectrometers under selected conditions. The nanostructure consists of one-dimensional or two-dimensional graded metallic gratings. By using a single image obtained by an ordinary camera, this compact system can accurately and precisely determine the spectroscopic and polarimetric information of the illumination spectrum. Assisted by suitably trained deep learning algorithms, we demonstrate the characterization of optical rotatory dispersion of glucose solutions at two-peak and three-peak narrowband illumination across the visible spectrum using just a single image. This system holds the potential for integration with smartphones and lab-on-a-chip systems to develop applications for in situ analysis. |
format | Online Article Text |
id | pubmed-10076426 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-100764262023-04-07 Imaging-based intelligent spectrometer on a plasmonic rainbow chip Tua, Dylan Liu, Ruiying Yang, Wenhong Zhou, Lyu Song, Haomin Ying, Leslie Gan, Qiaoqiang Nat Commun Article Compact, lightweight, and on-chip spectrometers are required to develop portable and handheld sensing and analysis applications. However, the performance of these miniaturized systems is usually much lower than their benchtop laboratory counterparts due to oversimplified optical architectures. Here, we develop a compact plasmonic “rainbow” chip for rapid, accurate dual-functional spectroscopic sensing that can surpass conventional portable spectrometers under selected conditions. The nanostructure consists of one-dimensional or two-dimensional graded metallic gratings. By using a single image obtained by an ordinary camera, this compact system can accurately and precisely determine the spectroscopic and polarimetric information of the illumination spectrum. Assisted by suitably trained deep learning algorithms, we demonstrate the characterization of optical rotatory dispersion of glucose solutions at two-peak and three-peak narrowband illumination across the visible spectrum using just a single image. This system holds the potential for integration with smartphones and lab-on-a-chip systems to develop applications for in situ analysis. Nature Publishing Group UK 2023-04-05 /pmc/articles/PMC10076426/ /pubmed/37019920 http://dx.doi.org/10.1038/s41467-023-37628-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Tua, Dylan Liu, Ruiying Yang, Wenhong Zhou, Lyu Song, Haomin Ying, Leslie Gan, Qiaoqiang Imaging-based intelligent spectrometer on a plasmonic rainbow chip |
title | Imaging-based intelligent spectrometer on a plasmonic rainbow chip |
title_full | Imaging-based intelligent spectrometer on a plasmonic rainbow chip |
title_fullStr | Imaging-based intelligent spectrometer on a plasmonic rainbow chip |
title_full_unstemmed | Imaging-based intelligent spectrometer on a plasmonic rainbow chip |
title_short | Imaging-based intelligent spectrometer on a plasmonic rainbow chip |
title_sort | imaging-based intelligent spectrometer on a plasmonic rainbow chip |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10076426/ https://www.ncbi.nlm.nih.gov/pubmed/37019920 http://dx.doi.org/10.1038/s41467-023-37628-0 |
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