Quantum-dot light-chip micro-spectrometer

被引:10
作者
Yin, Zhiqin [1 ,2 ,3 ,4 ]
Liu, Qingquan [1 ,2 ,3 ,4 ]
Guan, Xueyu [1 ,2 ,3 ,4 ]
Xie, Maobing [1 ,2 ,3 ,4 ]
Lu, Wei [1 ,2 ,3 ,4 ]
Wang, Shaowei [1 ,2 ,3 ,4 ]
机构
[1] Chinese Acad Sci, Shanghai Inst Tech Phys, State Key Lab Infrared Phys, Shanghai 200083, Peoples R China
[2] Shanghai Res Ctr Quantum Sci, Shanghai 201315, Peoples R China
[3] Shanghai Engn Res Ctr Energy Saving Coatings, Shanghai 200083, Peoples R China
[4] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
关键词
SPECTROGRAPHS; SENSOR;
D O I
10.1364/OL.492805
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Micro-spectrometers have great potential in various fields such as medicine, agriculture, and aerospace. In this work, a quantum-dot (QD) light-chip micro-spectrometer is pro-posed in which QDs emit different wavelengths of light that are combined with a spectral reconstruction (SR) algorithm. The QD array itself can play the roles of both the light source and the wavelength division structure. The spectra of samples can be obtained by using this simple light source with a detector and algorithm, and the spectral resolution reaches 9.7 nm in the wavelength range from 580 nm to 720 nm. The area of the QD light chip is 4 x 7.5 mm(2), which is 20 times smaller than the halogen light sources of commercial spec-trometers. It does not need a wavelength division structure and greatly reduces the volume of the spectrometer. Such a micro-spectrometer can be used for material identification: in a demonstration, three kinds of transparent samples, real and fake leaves, and real and fake blood were classified with an accuracy of 100%. These results indicate that the spectrometer based on a QD light chip has broad application prospects.
引用
收藏
页码:3371 / 3374
页数:4
相关论文
共 37 条
  • [1] An assessment study of absorption effect: LED vs tungsten halogen lamp for noninvasive glucose detection
    Aziz, Nur Ain Mohd
    Arsad, Norhana
    Menon, P. Susthitha
    Shaari, Sahbudin
    Yusof, Zalhan Md
    Laili, Abdur Rehman
    [J]. JOURNAL OF INNOVATIVE OPTICAL HEALTH SCIENCES, 2015, 8 (02)
  • [2] A colloidal quantum dot spectrometer
    Bao, Jie
    Bawendi, Moungi G.
    [J]. NATURE, 2015, 523 (7558) : 67 - +
  • [3] Silicon microspectrometer chip based on nanostructured fishnet photodetectors with tailored responsivities and machine learning
    Cadusch, Jasper J.
    Meng, Jiajun
    Craig, Benjamin
    Crozier, Kenneth B.
    [J]. OPTICA, 2019, 6 (09) : 1171 - 1177
  • [4] Investigation on spectral-domain optical coherence tomography using a tungsten halogen lamp as light source
    Chen, Yuping
    Zhao, Hong
    Wang, Zhao
    [J]. OPTICAL REVIEW, 2009, 16 (01) : 26 - 29
  • [5] Organic Photodetectors for Next-Generation Wearable Electronics
    Chow, Philip C. Y.
    Someya, Takao
    [J]. ADVANCED MATERIALS, 2020, 32 (15)
  • [6] In-line Application of Visible and Near-Infrared Diffuse Reflectance Spectroscopy to Identify Apple Varieties
    Cortes, V.
    Cubero, S.
    Blasco, J.
    Aleixos, N.
    Talens, P.
    [J]. FOOD AND BIOPROCESS TECHNOLOGY, 2019, 12 (06) : 1021 - 1030
  • [7] Computational spectrometers enabled by nanophotonics and deep learning
    Gao, Li
    Qu, Yurui
    Wang, Lianhui
    Yu, Zongfu
    [J]. NANOPHOTONICS, 2022, 11 (11) : 2507 - 2529
  • [8] A Single-Dot Perovskite Spectrometer
    Guo, Linqi
    Sun, Haoxuan
    Wang, Min
    Wang, Meng
    Min, Liangliang
    Cao, Fengren
    Tian, Wei
    Li, Liang
    [J]. ADVANCED MATERIALS, 2022, 34 (33)
  • [9] Integrated near-infrared spectral sensing
    Hakkel, Kaylee D.
    Petruzzella, Maurangelo
    Ou, Fang
    van Klinken, Anne
    Pagliano, Francesco
    Liu, Tianran
    van Veldhoven, Rene P. J.
    Fiore, Andrea
    [J]. NATURE COMMUNICATIONS, 2022, 13 (01)
  • [10] Using visible and near infrared diffuse transmittance technique to predict soluble solids content of watermelon in an on-line detection system
    Jie, Dengfei
    Xie, Lijuan
    Rao, Xiuqin
    Ying, Yibin
    [J]. POSTHARVEST BIOLOGY AND TECHNOLOGY, 2014, 90 : 1 - 6