A portable Raspberry Pi-based spectrometer for on-site spectral testing

被引：1
|
作者：
Zhu, Lin [1 ,2 ,3 ]
Yang, Shuwei [4 ,5 ]
Xiao, Zhibo [1 ,2 ,3 ]
Huang, Huachuan [6 ]
Yan, Keding [5 ]
Wang, Shouyu [1 ,2 ,7 ]
机构：
[1] Wuxi Univ, Jiangsu Prov Engn Res Ctr Integrated Circuit Relia, Wuxi 214105, Jiangsu, Peoples R China
[2] Wuxi Univ, Sch Elect & Informat Engn, OptiX Lab, Wuxi 214105, Jiangsu, Peoples R China
[3] Jiangnan Univ, Computat Opt Lab, Wuxi 214122, Jiangsu, Peoples R China
[4] Xian Peihua Univ, Sch Intelligent Sci & Informat Engn, Xian 710125, Shaanxi, Peoples R China
[5] Xian Technol Univ, Adv Inst Micronano Intelligent Sensing AIMNIS, Sch Elect Informat Engn, Xian 710032, Shaanxi, Peoples R China
[6] Southwest Univ Sci & Technol, Sch Manufacture Sci & Engn, Key Lab Testing Technol Mfg Proc, Minist Educ, Mianyang 621010, Sichuan, Peoples R China
[7] Nanjing Agr Univ, Single Mol Nanobiol Lab Sinmolab, Nanjing 210095, Jiangsu, Peoples R China
来源：
ANALYTICAL METHODS | 2023年 / 15卷 / 25期
基金：
中国国家自然科学基金;
关键词：
SMARTPHONE SPECTROMETER; SPECTROSCOPY; ADULTERATION; INSTRUMENT;
D O I：
10.1039/d3ay00464c
中图分类号：
O65 [分析化学];
学科分类号：
070302 ; 081704 ;
摘要：
We designed a portable Raspberry Pi-based spectrometer, which mainly consists of a white LED acting as the wide-spectrum source, a reflection grating for light dispersion, and a CMOS imaging chip aiming at spectral recording. All the optical elements and Raspberry Pi were integrated using 3-D printing structures with a size of 118 mm x 92 mm x 84 mm, and home-built software was also designed for spectral recording, calibration, analysis, and display implemented with a touch LCD. Additionally, the portable Raspberry Pi-based spectrometer was equipped with an internal battery, thus supporting on-site applications. Tested by a series of verifications and applications, the portable Raspberry Pi-based spectrometer could reach a spectral resolution of 0.065 nm per pixel within the visible band and provide spectral detection with high accuracy. Therefore, it can be used for on-site spectral testing in various fields.
引用
收藏
页码：3092 / 3100
页数：9
相关论文
共 50 条
  • [1] A Raspberry Pi-Based Attitude Sensor
    Sreejith, A. G.
    Mathew, Joice
    Sarpotdar, Mayuresh
    Mohan, Rekhesh
    Nayak, Akshata
    Safonova, Margarita
    Murthy, Jayant
    [J]. JOURNAL OF ASTRONOMICAL INSTRUMENTATION, 2014, 3 (02)
  • [2] Raspberry Pi-Based Surveillance System with IoT
    Jayakumar, Arvin Joseph Kumar
    Muthulakshmi, S.
    [J]. INTELLIGENT EMBEDDED SYSTEMS, ICNETS2, VOL II, 2018, 492 : 173 - 185
  • [3] RaPiD: a Raspberry Pi-based optical fundoscope
    J. H. Gagan
    J. R. Harish Kumar
    Chandra Sekhar Seelamantula
    Chandrashekara S. Adiga
    [J]. ISSS Journal of Micro and Smart Systems, 2022, 11 (2) : 397 - 405
  • [4] A novel open-source raspberry Pi-based behavioral testing in zebrafish
    Li, Yunlin
    Wu, Fengye
    Wu, Qinyan
    Liu, Wenya
    Li, Guanghui
    Yao, Benxing
    Xiao, Ran
    Hu, Yudie
    Wang, Junsong
    [J]. PLOS ONE, 2022, 17 (12):
  • [5] Raspberry Pi-Based VoIP System For Rural Area
    Kurniawati, Nazmia
    Affandi, Achmad
    Pratomo, Istas
    Gyoda, Koichi
    [J]. 2018 INTERNATIONAL SEMINAR ON INTELLIGENT TECHNOLOGY AND ITS APPLICATIONS (ISITIA 2018), 2018, : 33 - 38
  • [6] Raspberry Pi-based HIL simulators for control education
    Sobota, J.
    Goubej, M.
    Konigsmarkova, J.
    Cech, M.
    [J]. IFAC PAPERSONLINE, 2019, 52 (09): : 68 - 73
  • [7] A Raspberry Pi-Based Platform for Signal Processing Education
    Pasolini, Gianni
    Bazzi, Alessandro
    Zabini, Flavio
    [J]. IEEE SIGNAL PROCESSING MAGAZINE, 2017, 34 (04) : 151 - 158
  • [8] Open-source raspberry Pi-based operant box for translational behavioral testing in rodents
    Buscher, N.
    Ojeda, A.
    Francoeur, M.
    Hulyalkar, S.
    Claros, C.
    Tang, T.
    Terry, A.
    Gupta, A.
    Fakhraei, L.
    Ramanathan, D. S.
    [J]. JOURNAL OF NEUROSCIENCE METHODS, 2020, 342
  • [9] Optical design of portable Raman spectrometer based on-site rapid detection
    Luo, Weibo
    Yang, Jianfeng
    [J]. ICOSM 2020: OPTOELECTRONIC SCIENCE AND MATERIALS, 2020, 11606
  • [10] Raspberry Pi-based Low-cost Portable Optical Coherence Tomography to Deliver Health Care Services
    Cho, Hoseong
    Kim, Pilun
    Kim, Hyeree
    Wijesinghe, Ruchire Eranga
    Jeon, Mansik
    Kim, Jeehyun
    [J]. OPTICS AND BIOPHOTONICS IN LOW-RESOURCE SETTINGS IX, 2023, 12369
12345