Cmos Imaging Of Pinprinted Xerogelbased Luminescent Sensor Microarrays

• doi: 10.1109/JSEN.2010.2047497
• title: CMOS Imaging of Pin-Printed Xerogel-Based Luminescent Sensor Microarrays
• publisher: IEEE
• isbn:
• issn: 2379-9153
• rank: 1783
• access_type: LOCKED
• content_type: Journals
• abstract: We present the design and implementation of a luminescence-based miniaturized multisensor system using pin-printed xerogel materials which act as host media for chemical recognition elements. We developed a CMOS imager integrated circuit (IC) to image the luminescence response of the xerogel-based sensor array. The imager IC uses a 26$\,\times\,$ 20 (520 elements) array of active pixel sensors and each active pixel includes a high-gain phototransistor to convert the detected optical signals into electrical currents. The imager includes a correlated double sampling circuit and pixel address/digital control circuit; the image data is read-out as coded serial signal. The sensor system uses a light-emitting diode (LED) to excite the target analyte responsive luminophores doped within discrete xerogel-based sensor elements. As a prototype, we developed a 4$\,\times\,$4 (16 elements) array of oxygen (${\rm O} _{2}$) sensors. Each group of 4 sensor elements in the array (arranged in a row) is designed to provide a different and specific sensitivity to the target gaseous ${\rm O} _{2}$ concentration. This property of multiple sensitivities is achieved by using a strategic mix of two oxygen sensitive luminophores ($[{\rm Ru}({\rm dpp})_{3}]^{ 2+}$ and $[{\rm Ru}({\rm bpy})_{3}]^{2+}$) in each pin-printed xerogel sensor element. The CMOS imager consumes an average power of 8 mW operating at 1 kHz sampling frequency driven at 5 V. The developed prototype system demonstrates a low cost and miniaturized luminescence multisensor system.
• article_number: 5483069
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5483069
• html_url: https://ieeexplore.ieee.org/document/5483069/
• abstract_url: https://ieeexplore.ieee.org/document/5483069/
• publication_title: IEEE Sensors Journal
• conference_location:
• conference_dates:
• publication_number: 7361
• is_number: 5594815
• publication_year: 2010
• publication_date: Dec. 2010
• start_page: 1824
• end_page: 1832
• citing_paper_count: 6
• citing_patent_count: 0
• download_count: 1836
• insert_date: 20100610
• index_terms:
  • ieee_terms:
    • Sensor arrays
    • CMOS image sensors
    • Luminescence
    • Chemical elements
    • Pixel
    • CMOS integrated circuits
    • Chemical sensors
    • Optical arrays
    • Optical sensors
    • Image sampling
  • author_terms:
    • CMOS imager
    • luminescence
    • multi sensor system
    • optical sensors
    • oxygen sensors
    • pin-printing
    • sensor microarrays
    • xerogel
  • dynamic_index_terms:
    • Complementary Metal–oxide–semiconductor Image
    • Complementary Metal Oxide Semiconductor Image
    • Optical Signal
    • Sensor Array
    • Array Elements
    • Integrated Circuit
    • Recognition Elements
    • Oxygen Sensor
    • Group Of 4
    • Luminophores
    • Phototransistor
    • Multi-sensor System
    • Sampling Time
    • Signal Processing
    • Sampling Period
    • Integration Time
    • Piezoelectric
    • Photodetector
    • Voltage Drop
    • Potential Drop
    • IR Drop
    • Photocurrent
    • Absence Of Quencher
    • Digital Signal
    • Biochemical Sensors
    • Intensities In The Absence
    • Operational Amplifier
    • Op-amp
    • Types Of Sensors
    • Ruthenium
    • Digital Circuits
    • Digital Circuitry
    • Digital Control
    • Blue Light-emitting Diodes
• authors:
  • Author Name: Lei Yao
    Affiliation: Department of Electrical and Computer Engineering, McGill University, Montreal, QUE, Canada
    Author URL: https://ieeexplore.ieee.org/author/37574498200
    ID: 37574498200
    Order: 1
    Author Affiliations:
    • Department of Electrical and Computer Engineering, McGill University, Montreal, QUE, Canada
  • Author Name: Ka Yi Yung
    Affiliation: Department of Chemistry, State University of New York, University at Buffalo, Buffalo, NY, USA
    Author URL: https://ieeexplore.ieee.org/author/37586114800
    ID: 37586114800
    Order: 2
    Author Affiliations:
    • Department of Chemistry, State University of New York, University at Buffalo, Buffalo, NY, USA
  • Author Name: Rifat Khan
    Affiliation: Department of Electrical and Computer Engineering, McGill University, Montreal, QUE, Canada
    Author URL: https://ieeexplore.ieee.org/author/37568852800
    ID: 37568852800
    Order: 3
    Author Affiliations:
    • Department of Electrical and Computer Engineering, McGill University, Montreal, QUE, Canada
  • Author Name: Vamsy P. Chodavarapu
    Affiliation: Department of Electrical and Computer Engineering, McGill University, Montreal, QUE, Canada
    Author URL: https://ieeexplore.ieee.org/author/37300719100
    ID: 37300719100
    Order: 4
    Author Affiliations:
    • Department of Electrical and Computer Engineering, McGill University, Montreal, QUE, Canada
  • Author Name: Frank V. Bright
    Affiliation: Department of Chemistry, State University of New York, University at Buffalo, Buffalo, NY, USA
    Author URL: https://ieeexplore.ieee.org/author/37300881500
    ID: 37300881500
    Order: 5
    Author Affiliations:
    • Department of Chemistry, State University of New York, University at Buffalo, Buffalo, NY, USA

Image Sensor

• sensor_type: CMOS
• resolution: 26x20 (520 elements)
• dynamic_range: Not specified
• pixel_size: 54x58 µm with a fill factor of 28.7%
• dark_current: Output referred dark current varied from 500 to 830 mV depending on the sampling time (50 µs to 2.5 ms).

Optical Data

• focal_length: Not specified
• aperture: Not specified
• field_of_view: Not specified
• distortion: Not specified

Performance Metrics

• frame_rate: 1 kHz (sampling frequency)
• sensitivity: 1.78 V/nA (output voltage/generated photocurrent)
• power_consumption: Average power of 8 mW operating at 1 kHz sampling frequency driven at 5 V.
• noise: Fixed pattern noise (FPN) is approximately 80 mV.

Applications & Benefits

• cell_imaging: Used in imaging systems for biochemical sensor microarrays and analyzer systems.
• benefits: Low-cost, miniaturized luminescence multisensor system.

Supporting Organizations

• supported_by: Canada Natural Sciences and Engineering Research Council (NSERC), Canada Foundation for Innovation (CFI), Le Fonds québécois de la recherche sur la nature et les technologies (FQRNT), United States National Science Foundation (NSF).

Manuscript Details

• publication_date: Dec. 2010

Relevancy Score

• score: 9
• missing_fields:
  • quantum efficiency
  • readout speed
  • noise sources
  • analog-to-digital conversion techniques
  • microlenses
  • on-chip colour filters
  • global or rolling shutters
  • backside illumination

Processed JSON Filename

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