TY - JOUR
T1 - Imaging-based intelligent spectrometer on a plasmonic rainbow chip
AU - Tua, Dylan
AU - Liu, Ruiying
AU - Yang, Wenhong
AU - Zhou, Lyu
AU - Song, Haomin
AU - Ying, Leslie
AU - Gan, Qiaoqiang
N1 - KAUST Repository Item: Exported on 2023-04-10
Acknowledged KAUST grant number(s): BAS/1/1415-01-01, REI/1/5232-01-01
Acknowledgements: W.Y. and Q.G. are sponsored by the baseline of Physical Science Engineering Division, King Abdullah University of Science and Technology (BAS/1/1415-01-01) and the NTGC-AI program (REI/1/5232-01-01).
PY - 2023/4/5
Y1 - 2023/4/5
N2 - 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.
AB - 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.
UR - http://hdl.handle.net/10754/690931
UR - https://www.nature.com/articles/s41467-023-37628-0
U2 - 10.1038/s41467-023-37628-0
DO - 10.1038/s41467-023-37628-0
M3 - Article
C2 - 37019920
SN - 2041-1723
VL - 14
JO - Nature Communications
JF - Nature Communications
IS - 1
ER -