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  • 1.
    Chang, Keke
    et al.
    Department of Electrical Engineering, Henan Agricultural University, Zhengzhou, China.
    Chen, Ruipeng
    Department of Electrical Engineering, Henan Agricultural University, Zhengzhou, China.
    Wang, Shun
    Department of Electrical Engineering, Henan Agricultural University, Zhengzhou, China.
    Li, Jianwei
    Department of Electrical Engineering, Henan Agricultural University, Zhengzhou, China.
    Hu, Xinran
    School of Human Nutrition and Dietetics, McGill University, Canada..
    Liang, Hao
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences.
    Cao, Baiqiong
    Department of Electrical Engineering, Henan Agricultural University, Zhengzhou, China.
    Sun, Xiaohui
    Department of Electrical Engineering, Henan Agricultural University, Zhengzhou, China.
    Ma, Liuzheng
    Department of Electrical Engineering, Henan Agricultural University, Zhengzhou, China.
    Zhu, Juanhua
    Department of Electrical Engineering, Henan Agricultural University, Zhengzhou, China.
    Jiang, Min
    College of life sciences, Henan Agricultural University, Zhengzhou, China.
    Hu, Jiandong
    Department of Electrical Engineering, Henan Agricultural University, Zhengzhou, China; State key laboratory of wheat and maize crop science, Zhengzhou, China.
    Considerations on Circuit Design and Data Acquisition of a Portable Surface Plasmon Resonance Biosensing System2015In: Sensors, ISSN 1424-8220, E-ISSN 1424-8220, Vol. 15, no 8, p. 20511-20523Article in journal (Refereed)
    Abstract [en]

    The aim of this study was to develop a circuit for an inexpensive portable biosensing system based on surface plasmon resonance spectroscopy. This portable biosensing system designed for field use is characterized by a special structure which consists of a microfluidic cell incorporating a right angle prism functionalized with a biomolecular identification membrane, a laser line generator and a data acquisition circuit board. The data structure, data memory capacity and a line charge-coupled device (CCD) array with a driving circuit for collecting the photoelectric signals are intensively focused on and the high performance analog-to-digital (A/D) converter is comprehensively evaluated. The interface circuit and the photoelectric signal amplifier circuit are first studied to obtain the weak signals from the line CCD array in this experiment. Quantitative measurements for validating the sensitivity of the biosensing system were implemented using ethanol solutions of various concentrations indicated by volume fractions of 5%, 8%, 15%, 20%, 25%, and 30%, respectively, without a biomembrane immobilized on the surface of the SPR sensor. The experiments demonstrated that it is possible to detect a change in the refractive index of an ethanol solution with a sensitivity of 4.99838 × 10(5) ΔRU/RI in terms of the changes in delta response unit with refractive index using this SPR biosensing system, whereby the theoretical limit of detection of 3.3537 × 10(-5) refractive index unit (RIU) and a high linearity at the correlation coefficient of 0.98065. The results obtained from a series of tests confirmed the practicality of this cost-effective portable SPR biosensing system.

  • 2.
    Climent, Enric
    et al.
    Sensors and Magnetism Group, Institut de Recerca per a la Gestió Integrada de Zones Costaneres, Campus de Gandia, Universitat Politècnica de València, Grao de Gandia, Spain.
    Pelegri-Sebastia, Jose
    Sensors and Magnetism Group, Institut de Recerca per a la Gestió Integrada de Zones Costaneres, Campus de Gandia, Universitat Politècnica de València, Grao de Gandia, Spain.
    Sogorb, Tomas
    Sensors and Magnetism Group, Institut de Recerca per a la Gestió Integrada de Zones Costaneres, Campus de Gandia, Universitat Politècnica de València, Grao de Gandia, Spain.
    Talens, J. B.
    Sensors and Magnetism Group, Institut de Recerca per a la Gestió Integrada de Zones Costaneres, Campus de Gandia, Universitat Politècnica de València, Grao de Gandia, Spain.
    Chilo, Jose
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics.
    Development of the MOOSY4 eNose IoT for Sulphur-Based VOC Water Pollution Detection2017In: Sensors, ISSN 1424-8220, E-ISSN 1424-8220, Vol. 17, no 8, article id E1917Article in journal (Refereed)
    Abstract [en]

    In this paper, we describe a new low-cost and portable electronic nose instrument, the Multisensory Odor Olfactory System MOOSY4. This prototype is based on only four metal oxide semiconductor (MOS) gas sensors suitable for IoT technology. The system architecture consists of four stages: data acquisition, data storage, data processing, and user interfacing. The designed eNose was tested with experiment for detection of volatile components in water pollution, as a dimethyl disulphide or dimethyl diselenide or sulphur. Therefore, the results provide evidence that odor information can be recognized with around 86% efficiency, detecting smells unwanted in the water and improving the quality control in bottled water factories.

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