IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v14y2023i1d10.1038_s41467-023-37628-0.html
   My bibliography  Save this article

Imaging-based intelligent spectrometer on a plasmonic rainbow chip

Author

Listed:
  • Dylan Tua

    (University at Buffalo, The State University of New York)

  • Ruiying Liu

    (University at Buffalo, The State University of New York)

  • Wenhong Yang

    (King Abdullah University of Science and Technology)

  • Lyu Zhou

    (University at Buffalo, The State University of New York)

  • Haomin Song

    (King Abdullah University of Science and Technology)

  • Leslie Ying

    (University at Buffalo, The State University of New York)

  • Qiaoqiang Gan

    (University at Buffalo, The State University of New York
    King Abdullah University of Science and Technology)

Abstract

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.

Suggested Citation

  • Dylan Tua & Ruiying Liu & Wenhong Yang & Lyu Zhou & Haomin Song & Leslie Ying & Qiaoqiang Gan, 2023. "Imaging-based intelligent spectrometer on a plasmonic rainbow chip," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
  • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-37628-0
    DOI: 10.1038/s41467-023-37628-0
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-023-37628-0
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-023-37628-0?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Derek M. Kita & Brando Miranda & David Favela & David Bono & Jérôme Michon & Hongtao Lin & Tian Gu & Juejun Hu, 2018. "High-performance and scalable on-chip digital Fourier transform spectroscopy," Nature Communications, Nature, vol. 9(1), pages 1-7, December.
    2. Zhu Wang & Soongyu Yi & Ang Chen & Ming Zhou & Ting Shan Luk & Anthony James & John Nogan & Willard Ross & Graham Joe & Alireza Shahsafi & Ken Xingze Wang & Mikhail A. Kats & Zongfu Yu, 2019. "Single-shot on-chip spectral sensors based on photonic crystal slabs," Nature Communications, Nature, vol. 10(1), pages 1-6, December.
    3. Jie Bao & Moungi G. Bawendi, 2015. "A colloidal quantum dot spectrometer," Nature, Nature, vol. 523(7558), pages 67-70, July.
    4. Dadi Gao & Elisabetta Morini & Monica Salani & Aram J. Krauson & Anil Chekuri & Neeraj Sharma & Ashok Ragavendran & Serkan Erdin & Emily M. Logan & Wencheng Li & Amal Dakka & Jana Narasimhan & Xin Zha, 2021. "A deep learning approach to identify gene targets of a therapeutic for human splicing disorders," Nature Communications, Nature, vol. 12(1), pages 1-15, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Gang Wu & Mohamed Abid & Mohamed Zerara & Jiung Cho & Miri Choi & Cormac Ó Coileáin & Kuan-Ming Hung & Ching-Ray Chang & Igor V. Shvets & Han-Chun Wu, 2024. "Miniaturized spectrometer with intrinsic long-term image memory," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    2. Wenjie Deng & Zilong Zheng & Jingzhen Li & Rongkun Zhou & Xiaoqing Chen & Dehui Zhang & Yue Lu & Chongwu Wang & Congya You & Songyu Li & Ling Sun & Yi Wu & Xuhong Li & Boxing An & Zheng Liu & Qi jie W, 2022. "Electrically tunable two-dimensional heterojunctions for miniaturized near-infrared spectrometers," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    3. Jingyi Wang & Beibei Pan & Zi Wang & Jiakai Zhang & Zhiqi Zhou & Lu Yao & Yanan Wu & Wuwei Ren & Jianyu Wang & Haiming Ji & Jingyi Yu & Baile Chen, 2024. "Single-pixel p-graded-n junction spectrometers," Nature Communications, Nature, vol. 15(1), pages 1-8, December.
    4. Yangxi Zhang & Sheng Zhang & Hao Wu & Jinhui Wang & Guang Lin & A. Ping Zhang, 2024. "Miniature computational spectrometer with a plasmonic nanoparticles-in-cavity microfilter array," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    5. Weihang Zhang & Jinli Suo & Kaiming Dong & Lianglong Li & Xin Yuan & Chengquan Pei & Qionghai Dai, 2023. "Handheld snapshot multi-spectral camera at tens-of-megapixel resolution," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    6. Haoshuang Wu & Li Yang & Rifang Luo & Li Li & Tiantian Zheng & Kaiyang Huang & Yumei Qin & Xia Yang & Xingdong Zhang & Yunbing Wang, 2024. "A drug-free cardiovascular stent functionalized with tailored collagen supports in-situ healing of vascular tissues," Nature Communications, Nature, vol. 15(1), pages 1-19, December.
    7. Zi Wang & Lorry Chang & Feifan Wang & Tiantian Li & Tingyi Gu, 2022. "Integrated photonic metasystem for image classifications at telecommunication wavelength," Nature Communications, Nature, vol. 13(1), pages 1-8, December.
    8. Soongyu Yi & Jin Xiang & Ming Zhou & Zhicheng Wu & Lan Yang & Zongfu Yu, 2021. "Angle-based wavefront sensing enabled by the near fields of flat optics," Nature Communications, Nature, vol. 12(1), pages 1-8, December.
    9. Luigi Ranno & Yong Zen Tan & Chi Siang Ong & Xin Guo & Khong Nee Koo & Xiang Li & Wanjun Wang & Samuel Serna & Chongyang Liu & Rusli & Callum G. Littlejohns & Graham T. Reed & Juejun Hu & Hong Wang & , 2024. "Crown ether decorated silicon photonics for safeguarding against lead poisoning," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
    10. Md Gius Uddin & Susobhan Das & Abde Mayeen Shafi & Lei Wang & Xiaoqi Cui & Fedor Nigmatulin & Faisal Ahmed & Andreas C. Liapis & Weiwei Cai & Zongyin Yang & Harri Lipsanen & Tawfique Hasan & Hoon Hahn, 2024. "Broadband miniaturized spectrometers with a van der Waals tunnel diode," Nature Communications, Nature, vol. 15(1), pages 1-7, December.
    11. Zachariah L. McLean & Dadi Gao & Kevin Correia & Jennie C. L. Roy & Shota Shibata & Iris N. Farnum & Zoe Valdepenas-Mellor & Marina Kovalenko & Manasa Rapuru & Elisabetta Morini & Jayla Ruliera & Tamm, 2024. "Splice modulators target PMS1 to reduce somatic expansion of the Huntington’s disease-associated CAG repeat," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
    12. Hongnan Xu & Yue Qin & Gaolei Hu & Hon Ki Tsang, 2024. "Scalable integrated two-dimensional Fourier-transform spectrometry," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
    13. Yibo Xu & Liyang Lu & Vishwanath Saragadam & Kevin F. Kelly, 2024. "A compressive hyperspectral video imaging system using a single-pixel detector," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    14. Marcel W. Pruessner & Nathan F. Tyndall & Jacob B. Khurgin & William S. Rabinovich & Peter G. Goetz & Todd H. Stievater, 2024. "Broadband near-infrared emission in silicon waveguides," Nature Communications, Nature, vol. 15(1), pages 1-8, December.
    15. Xia Hua & Yujie Wang & Shuming Wang & Xiujuan Zou & You Zhou & Lin Li & Feng Yan & Xun Cao & Shumin Xiao & Din Ping Tsai & Jiecai Han & Zhenlin Wang & Shining Zhu, 2022. "Ultra-compact snapshot spectral light-field imaging," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    16. Xiaopeng Feng & Chenglong Li & Jinmei Song & Yuhong He & Wei Qu & Weijun Li & Keke Guo & Lulu Liu & Bai Yang & Haotong Wei, 2024. "Differential perovskite hemispherical photodetector for intelligent imaging and location tracking," Nature Communications, Nature, vol. 15(1), pages 1-9, December.
    17. Yuma Ishigami & Mandy S. Wong & Carlos Martí-Gómez & Andalus Ayaz & Mahdi Kooshkbaghi & Sonya M. Hanson & David M. McCandlish & Adrian R. Krainer & Justin B. Kinney, 2024. "Specificity, synergy, and mechanisms of splice-modifying drugs," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
    18. Un Jeong Kim & Suyeon Lee & Hyochul Kim & Yeongeun Roh & Seungju Han & Hojung Kim & Yeonsang Park & Seokin Kim & Myung Jin Chung & Hyungbin Son & Hyuck Choo, 2023. "Drug classification with a spectral barcode obtained with a smartphone Raman spectrometer," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
    19. Dohyun Kwak & Dmitry K. Polyushkin & Thomas Mueller, 2023. "In-sensor computing using a MoS2 photodetector with programmable spectral responsivity," Nature Communications, Nature, vol. 14(1), pages 1-8, December.
    20. Oleksii Ilchenko & Yurii Pilhun & Andrii Kutsyk & Denys Slobodianiuk & Yaman Goksel & Elodie Dumont & Lukas Vaut & Chiara Mazzoni & Lidia Morelli & Sofus Boisen & Konstantinos Stergiou & Yaroslav Auli, 2024. "Optics miniaturization strategy for demanding Raman spectroscopy applications," Nature Communications, Nature, vol. 15(1), pages 1-14, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-37628-0. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.