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CMOS Integrated Circuits for Sensor Applications

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Electronic Sensors".

Deadline for manuscript submissions: 31 July 2024 | Viewed by 3928

Special Issue Editor


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Guest Editor
Faculty of Engineering, Electrical & Computer Engineering Department, University of Alberta, Edmonton, AB T6G 2R3, Canada
Interests: circuit theory; theory and technical applications of oscillations; analog microelectronic circuit design; circuits for sensor applications
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The development of CMOS technology during past several decades has stimulated many efforts to fabricate sensors directly on CMOS substrates. The attractive features of this approach include the miniaturization of the devices, low power consumption, batch fabrication at industrial standards, and low cost. Drawbacks of using CMOS technology include the limited selection of materials and predefined fabrication processes. Yet, sensor-specific materials and additional fabrication steps may be introduced as post-processing after the CMOS fabrication. From the other side, the monolithic integration of a sensor with the necessary circuitry allows for implementing both signal amplification and signal conditioning on the same chip. This improves the signal-to-noise ratio characteristics, since the bond-wires between sensor structure and circuitry, which potentially introduce noise in the system, can be avoided. Hence, despite the limited number of IC compatible materials available to realize silicon integrated sensors, it is often possible using the interface circuitry to compensate all the limitations, such as low sensitivity, nonlinearities, and parasitic effects. This makes integrated sensors competitive with discrete sensors. The efforts to package a monolithic chip are lower in comparison to multichip solutions. Moreover, the quality and reliability standards of established industrial CMOS processes render single-chip systems very attractive for rapid commercialization. The goal of this Special Issue is to draw attention to both aspects of using CMOS technology for sensor integration.

Prof. Dr. Igor Filanovsky
Guest Editor

Manuscript Submission Information

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Keywords

  • CMOS technology
  • sensors
  • sensor integration
  • post-processing steps
  • signal conditioning

Published Papers (2 papers)

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Research

16 pages, 7806 KiB  
Article
Smart Temperature Sensor Design and High-Density Water Temperature Monitoring in Estuarine and Coastal Areas
by Bozhi Wang, Huayang Cai, Qi Jia, Huimin Pan, Bo Li and Linxi Fu
Sensors 2023, 23(17), 7659; https://doi.org/10.3390/s23177659 - 04 Sep 2023
Viewed by 1175
Abstract
Acquiring in situ water temperature data is an indispensable and important component for analyzing thermal dynamics in estuarine and coastal areas. However, the long-term and high-density monitoring of water temperature is costly and technically challenging. In this paper, we present the design, calibration, [...] Read more.
Acquiring in situ water temperature data is an indispensable and important component for analyzing thermal dynamics in estuarine and coastal areas. However, the long-term and high-density monitoring of water temperature is costly and technically challenging. In this paper, we present the design, calibration, and application of the smart temperature sensor TS-V1, a low-power yet low-cost temperature sensor for monitoring the spatial–temporal variations of surface water temperatures and air temperatures in estuarine and coastal areas. The temperature output of the TS-V1 sensor was calibrated against the Fluke-1551A sensor developed in the United States and the CTD-Diver sensor developed in the Netherlands. The results show that the accuracy of the TS-V1 sensor is 0.08 °C, while sensitivity tests suggest that the TS-V1 sensor (comprising a titanium alloy shell with a thermal conductivity of 7.6 W/(m °C)) is approximately 0.31~0.54 s/°C slower than the CTD-Diver sensor (zirconia shell with thermal conductivity of 3 W/(m °C)) in measuring water temperatures but 6.92~10.12 s/°C faster than the CTD-Diver sensor in measuring air temperatures. In addition, the price of the proposed TS-V1 sensor is only approximately 1 and 0.3 times as much as the established commercial sensors, respectively. The TS-V1 sensor was used to collect surface water temperature and air temperature in the western part of the Pearl River Estuary from July 2022 to September 2022. These data wells captured water and air temperature changes, frequency distributions, and temperature characteristics. Our sensor is, thus, particularly useful for the study of thermal dynamics in estuarine and coastal areas. Full article
(This article belongs to the Special Issue CMOS Integrated Circuits for Sensor Applications)
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12 pages, 4456 KiB  
Communication
Design of a Current Sensing System with TIA Gain of 160 dBΩ and Input-Referred Noise of 1.8 pArms for Biosensor
by Donggyu Kim, Sungjun Byun, Younggun Pu, Hyungki Huh, Yeonjae Jung, Seokkee Kim and Kang-Yoon Lee
Sensors 2023, 23(6), 3019; https://doi.org/10.3390/s23063019 - 10 Mar 2023
Viewed by 2331
Abstract
This paper proposes a high-gain low-noise current signal detection system for biosensors. When the biomaterial is attached to the biosensor, the current flowing through the bias voltage is changed so that the biomaterial can be sensed. A resistive feedback transimpedance amplifier (TIA) is [...] Read more.
This paper proposes a high-gain low-noise current signal detection system for biosensors. When the biomaterial is attached to the biosensor, the current flowing through the bias voltage is changed so that the biomaterial can be sensed. A resistive feedback transimpedance amplifier (TIA) is used for the biosensor requiring a bias voltage. Current changes in the biosensor can be checked by plotting the current value of the biosensor in real time on the self-made graphical user interface (GUI). Even if the bias voltage changes, the input voltage of the analog to digital converter (ADC) does not change, so it is designed to plot the current of the biosensor accurately and stably. In particular, for multi-biosensors with an array structure, a method of automatically calibrating the current between biosensors by controlling the gate bias voltage of the biosensors is proposed. Input-referred noise is reduced using a high-gain TIA and chopper technique. The proposed circuit achieves 1.8 pArms input-referred noise with a gain of 160 dBΩ and is implemented in a TSMC 130 nm CMOS process. The chip area is 2.3 mm2, and the power consumption of the current sensing system is 12 mW. Full article
(This article belongs to the Special Issue CMOS Integrated Circuits for Sensor Applications)
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