Implementation of a Low-Cost Automated LED Photometer for Enzymatic Reaction Detection to Teach Basic Bioelectronics Technologies in Vocational High Schools

被引:3
|
作者
Chen, Huai-Yi [1 ]
Nieh, Hwa-Ming [2 ]
Yang, Ming-Feng [3 ]
Chou, Yu-Kung [3 ]
Chung, Jui-Hsu [4 ]
Liou, Je-Wen [5 ]
机构
[1] Huafan Univ, Dept Elect Engn, New Taipei 22301, Taiwan
[2] Minghsin Univ Sci & Technol, Serv Ind & Management Inst, Xinfeng 30401, Taiwan
[3] Neihu Vocat High Sch, Dept Elect Engn, Taipei 11493, Taiwan
[4] Neihu Vocat High Sch, Dept Nat Sci, Taipei 11493, Taiwan
[5] Tzu Chi Univ, Sch Med, Dept Biochem, Hualien, Taiwan
关键词
Automatic testing; biomedical measurement; biosensors; electronic engineering education; light-emitting diodes (LEDs); microcontroller; student experiment; GLUCOSE; OXIDASE; SYSTEM;
D O I
10.1109/TE.2015.2503337
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
This study proposes a home-assembled, low-cost blue light-emitting diode (LED) photometer that uses simple and low-cost hardware and software, costing about US $150. This 425-nm wavelength photometer is controlled by an 89C51 microcontroller chip. Glucose concentration detection experiments involving enzyme coupling reactions were carried out to verify the performance of the proposed system. Measurement errors for the system were between 3% and 4%, which can be further improved to less than 2%. The proposed LED photometer can be used by students in electronics classes to conduct biotechnological tests as part of their electrical and electronics vocational high school education. This can help them to explore the basic applications of biosensors and enhance their professional abilities in executing fundamental bioelectronics processes. Pretest and post-test assessments of students' knowledge of bioelectronics were conducted to determine the efficacy of the proposed system in enhancing students' knowledge. The LED photometer can be modified to test various samples in biochemistry and analytical chemistry, and it can also be applied to various fields such as electronics, chemical engineering, and biochemistry.
引用
收藏
页码:194 / 201
页数:8
相关论文
共 7 条
  • [1] Automated Low-Cost LED-Based Sun Photometer for City Scale Distributed Measurements
    Garrido, Cristobal
    Toledo, Felipe
    Diaz, Marcos
    Rondanelli, Roberto
    REMOTE SENSING, 2021, 13 (22)
  • [2] A low-cost automated flow analyzer based on low temperature co-fired ceramic and LED photometer for ascorbic acid determination
    Pessoa-Neto, Osmundo D.
    dos Santos, Vagner B.
    Vicentini, Fernando C.
    Suarez, Willian T.
    Alonso-Chamarro, Julian
    Fatibello-Filho, Orlando
    Faria, Ronaldo C.
    CENTRAL EUROPEAN JOURNAL OF CHEMISTRY, 2014, 12 (03): : 341 - 347
  • [3] High-Efficient Low-Cost VLSI Implementation for Canny Edge Detection
    Lee, Da-Huei
    Chen, Pei-Yin
    Yang, Fu-Jhong
    Weng, Wan-Ting
    JOURNAL OF INFORMATION SCIENCE AND ENGINEERING, 2020, 36 (03) : 535 - 546
  • [4] Artificial neural network implementation in single low-cost chip for the detection of insecticides by modeling of screen-printed enzymatic sensors response
    Alonso, Gustavo A.
    Istamboulie, Georges
    Ramirez-Garcia, Alfredo
    Noguer, Thierry
    Marty, Jean-Louis
    Munoz, Roberto
    COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2010, 74 (02) : 223 - 229
  • [5] Low-Cost 3D Printers Enable High-Quality and Automated Sample Preparation and Molecular Detection
    Chan, Kamfai
    Coen, Mauricio
    Hardick, Justin
    Gaydos, Charlotte A.
    Wong, Kah-Yat
    Smith, Clayton
    Wilson, Scott A.
    Vayugundla, Siva Praneeth
    Wong, Season
    PLOS ONE, 2016, 11 (06):
  • [6] Automated, Low-Cost, Polymicrobial Pathogen and Antibiotic Resistance Gene Detection, Based on High-Throughput D3 Array Technology
    Hogan, M.
    Eggers, R.
    May, M.
    Wen, F.
    Botros, I.
    Obrien, K.
    Katchman, B.
    JOURNAL OF MOLECULAR DIAGNOSTICS, 2024, 26 (11): : S55 - S55
  • [7] High-throughput, low-cost, and event-specific polymerase chain reaction detection of herbicide tolerance in genetically modified soybean A2704-12
    Ma, H.
    Li, H.
    Li, J.
    Wang, X. F.
    Wei, P. C.
    Li, L.
    Yang, J. B.
    GENETICS AND MOLECULAR RESEARCH, 2014, 13 (01): : 696 - 703