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Osouli Tabrizi H, Forouhi S, Azadmousavi T, Ghafar-Zadeh E. A Multidisciplinary Approach toward CMOS Capacitive Sensor Array for Droplet Analysis. Micromachines (Basel) 2024; 15:232. [PMID: 38398961 PMCID: PMC10892496 DOI: 10.3390/mi15020232] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/01/2024] [Revised: 01/27/2024] [Accepted: 01/30/2024] [Indexed: 02/25/2024]
Abstract
This paper introduces an innovative method for the analysis of alcohol-water droplets on a CMOS capacitive sensor, leveraging the controlled thermal behavior of the droplets. Using this sensing method, the capacitive sensor measures the total time of evaporation (ToE), which can be influenced by the droplet volume, temperature, and chemical composition. We explored this sensing method by introducing binary mixtures of water and ethanol or methanol across a range of concentrations (0-100%, with 10% increments). The experimental results indicate that while the capacitive sensor is effective in measuring both the total ToE and dielectric properties, a higher dynamic range and resolution are observed in the former. Additionally, an array of sensing electrodes successfully monitors the droplet-sensor surface interaction. However practical considerations such as the creation of parasitic capacitance due to mismatch, arise from the large sensing area in the proposed capacitive sensors and other similar devices. In this paper, we discuss this non-ideality and propose a solution. Also, this paper showcases the benefits of utilizing a CMOS capacitive sensing method for accurately measuring ToE.
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Affiliation(s)
- Hamed Osouli Tabrizi
- Biologically Inspired Sensors and Actuators, Department of Electrical Engineering and Computer Science, Lassonde School of Engineering, York University, Toronto, ON M3J 1P3, Canada; (H.O.T.); (S.F.)
| | - Saghi Forouhi
- Biologically Inspired Sensors and Actuators, Department of Electrical Engineering and Computer Science, Lassonde School of Engineering, York University, Toronto, ON M3J 1P3, Canada; (H.O.T.); (S.F.)
| | - Tayebeh Azadmousavi
- Department of Electrical Engineering, University of Bonab, Bonab 5551395133, Iran;
| | - Ebrahim Ghafar-Zadeh
- Biologically Inspired Sensors and Actuators, Department of Electrical Engineering and Computer Science, Lassonde School of Engineering, York University, Toronto, ON M3J 1P3, Canada; (H.O.T.); (S.F.)
- Department of Biology, Faculty of Science, York University, Toronto, ON M3J 1P3, Canada
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Tabrizi HO, Forouhi S, Ghafar-Zadeh E. A High Dynamic Range Dual 8×16 Capacitive Sensor Array for Life Science Applications. IEEE Trans Biomed Circuits Syst 2022; PP:1191-1203. [PMID: 37015455 DOI: 10.1109/tbcas.2022.3230668] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]
Abstract
This paper presents a fully integrated complementary metal-oxide-semiconductor (CMOS) capacitive sensor array for life science applications. This sensing device consists of an array of 16 × 16 interdigitated electrodes (IDEs) integrated with a charge-based readout and multiplexing circuitries on the same chip. This chip was implemented in 0.35 µm AMS CMOS process. This sensing device has a wide input capacitance range (ICR) of about 100 fF and a resolution of 150 aF, and the capability of temporal, spatial, and dielectric sensing. It makes it possible to develop a low-cost, multimodal, calibration-free sensing platform for life science applications. Here, we demonstrate and discuss the functionality and applicability of the proposed sensing device by introducing various chemical solvents including ethanol, methanol, and pure water. The simulation and experimental results achieved in this work have taken us one step closer to a fully automated calibration-free multimodal capacitive sensing platform for high-throughput drug development and other purposes.
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Osouli Tabrizi H, Panahi A, Forouhi S, Sadighbayan D, Soheili F, Haji Hosseini Khani MR, Magierowski S, Ghafar-Zadeh E. Oral Cells-On-Chip: Design, Modeling and Experimental Results. Bioengineering (Basel) 2022; 9:bioengineering9050218. [PMID: 35621496 PMCID: PMC9137814 DOI: 10.3390/bioengineering9050218] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2022] [Revised: 05/15/2022] [Accepted: 05/17/2022] [Indexed: 11/23/2022] Open
Abstract
Recent advances in periodontal studies have attracted the attention of researchers to the relation between oral cells and gum diseases, which is a real threat to overall human health. Among various microfabrication technologies, Complementary Metal Oxide Semiconductors (CMOSs) enable the development of low-cost integrated sensors and circuits for rapid and accurate assessment of living cells that can be employed for the early detection and control of periodontal diseases. This paper presents a CMOS capacitive sensing platform that can be considered as an alternative for the analysis of salivatory cells such as oral neutrophils. This platform consists of two sensing electrodes connected to a read-out capacitive circuitry designed and fabricated on the same chip using Austria Mikro Systeme (AMS) 0.35 µm CMOS process. A graphical user interface (GUI) was also developed to interact with the capacitive read-out system and the computer to monitor the capacitance changes due to the presence of saliva cells on top of the chip. Thanks to the wide input dynamic range (IDR) of more than 400 femto farad (fF) and high resolution of 416 atto farad (aF), the experimental and simulation results demonstrate the functionality and applicability of the proposed sensor for monitoring cells in a small volume of 1 µL saliva samples. As per these results, the hydrophilic adhesion of oral cells on the chip varies the capacitance of interdigitated electrodes (IDEs). These capacitance changes then give an assessment of the oral cells existing in the sample. In this paper, the simulation and experimental results set a new stage for emerging sensing platforms for testing oral samples.
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Affiliation(s)
- Hamed Osouli Tabrizi
- Biologically Inspired Sensors and Actuators (BioSA) Laboratory, Lassonde School of Engineering, York University, Toronto, ON M3J 1P3, Canada; (H.O.T.); (A.P.); (S.F.); (D.S.); (F.S.); (M.R.H.H.K.)
- Department of Electrical Engineering and Computer Science, Lassonde School of Engineering, York University, Toronto, ON M3J 1P3, Canada;
| | - Abbas Panahi
- Biologically Inspired Sensors and Actuators (BioSA) Laboratory, Lassonde School of Engineering, York University, Toronto, ON M3J 1P3, Canada; (H.O.T.); (A.P.); (S.F.); (D.S.); (F.S.); (M.R.H.H.K.)
- Department of Electrical Engineering and Computer Science, Lassonde School of Engineering, York University, Toronto, ON M3J 1P3, Canada;
| | - Saghi Forouhi
- Biologically Inspired Sensors and Actuators (BioSA) Laboratory, Lassonde School of Engineering, York University, Toronto, ON M3J 1P3, Canada; (H.O.T.); (A.P.); (S.F.); (D.S.); (F.S.); (M.R.H.H.K.)
- Department of Electrical Engineering and Computer Science, Lassonde School of Engineering, York University, Toronto, ON M3J 1P3, Canada;
| | - Deniz Sadighbayan
- Biologically Inspired Sensors and Actuators (BioSA) Laboratory, Lassonde School of Engineering, York University, Toronto, ON M3J 1P3, Canada; (H.O.T.); (A.P.); (S.F.); (D.S.); (F.S.); (M.R.H.H.K.)
- Department of Biology, Faculty of Science, York University, Toronto, ON M3J 1P3, Canada
| | - Fatemeh Soheili
- Biologically Inspired Sensors and Actuators (BioSA) Laboratory, Lassonde School of Engineering, York University, Toronto, ON M3J 1P3, Canada; (H.O.T.); (A.P.); (S.F.); (D.S.); (F.S.); (M.R.H.H.K.)
- Department of Biology, Faculty of Science, York University, Toronto, ON M3J 1P3, Canada
| | - Mohammad Reza Haji Hosseini Khani
- Biologically Inspired Sensors and Actuators (BioSA) Laboratory, Lassonde School of Engineering, York University, Toronto, ON M3J 1P3, Canada; (H.O.T.); (A.P.); (S.F.); (D.S.); (F.S.); (M.R.H.H.K.)
| | - Sebastian Magierowski
- Department of Electrical Engineering and Computer Science, Lassonde School of Engineering, York University, Toronto, ON M3J 1P3, Canada;
| | - Ebrahim Ghafar-Zadeh
- Biologically Inspired Sensors and Actuators (BioSA) Laboratory, Lassonde School of Engineering, York University, Toronto, ON M3J 1P3, Canada; (H.O.T.); (A.P.); (S.F.); (D.S.); (F.S.); (M.R.H.H.K.)
- Department of Electrical Engineering and Computer Science, Lassonde School of Engineering, York University, Toronto, ON M3J 1P3, Canada;
- Department of Biology, Faculty of Science, York University, Toronto, ON M3J 1P3, Canada
- Correspondence:
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Shaffaf T, Forouhi S, Ghafar-Zadeh E. Towards Fully Integrated Portable Sensing Devices for COVID-19 and Future Global Hazards: Recent Advances, Challenges, and Prospects. Micromachines (Basel) 2021; 12:915. [PMID: 34442537 PMCID: PMC8401608 DOI: 10.3390/mi12080915] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Revised: 07/25/2021] [Accepted: 07/28/2021] [Indexed: 01/08/2023]
Abstract
Since the onset of the coronavirus disease 2019 (COVID-19) pandemic, this fatal disease has been the leading cause of the death of more than 3.9 million people around the world. This tragedy taught us that we should be well-prepared to control the spread of such infectious diseases and prevent future hazards. As a consequence, this pandemic has drawn the attention of many researchers to the development of portable platforms with short hands-on and turnaround time suitable for batch production in urgent pandemic situations such as that of COVID-19. Two main groups of diagnostic assays have been reported for the detection of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) including nucleic acid-based and protein-based assays. The main focus of this paper is on the latter, which requires a shorter time duration, less skilled technicians, and faces lower contamination. Furthermore, this paper gives an overview of the complementary metal-oxide-semiconductor (CMOS) biosensors, which are potentially useful for implementing point-of-care (PoC) platforms based on such assays. CMOS technology, as a predominant technology for the fabrication of integrated circuits, is a promising candidate for the development of PoC devices by offering the advantages of reliability, accessibility, scalability, low power consumption, and distinct cost.
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Affiliation(s)
- Tina Shaffaf
- Biologically Inspired Sensors and Actuators Laboratory (BioSA), York University, Toronto, ON M3J 1P3, Canada; (T.S.); (S.F.)
- Department of Biology, Faculty of Science, York University, Toronto, ON M3J 1P3, Canada
| | - Saghi Forouhi
- Biologically Inspired Sensors and Actuators Laboratory (BioSA), York University, Toronto, ON M3J 1P3, Canada; (T.S.); (S.F.)
- Department of Electrical Engineering and Computer Science, Lassonde School of Engineering, York University, Toronto, ON M3J 1P3, Canada
| | - Ebrahim Ghafar-Zadeh
- Biologically Inspired Sensors and Actuators Laboratory (BioSA), York University, Toronto, ON M3J 1P3, Canada; (T.S.); (S.F.)
- Department of Biology, Faculty of Science, York University, Toronto, ON M3J 1P3, Canada
- Department of Electrical Engineering and Computer Science, Lassonde School of Engineering, York University, Toronto, ON M3J 1P3, Canada
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Panahi A, Sadighbayan D, Forouhi S, Ghafar-Zadeh E. Recent Advances of Field-Effect Transistor Technology for Infectious Diseases. Biosensors (Basel) 2021; 11:bios11040103. [PMID: 33918325 PMCID: PMC8065562 DOI: 10.3390/bios11040103] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Revised: 03/16/2021] [Accepted: 03/19/2021] [Indexed: 02/07/2023]
Abstract
Field-effect transistor (FET) biosensors have been intensively researched toward label-free biomolecule sensing for different disease screening applications. High sensitivity, incredible miniaturization capability, promising extremely low minimum limit of detection (LoD) at the molecular level, integration with complementary metal oxide semiconductor (CMOS) technology and last but not least label-free operation were amongst the predominant motives for highlighting these sensors in the biosensor community. Although there are various diseases targeted by FET sensors for detection, infectious diseases are still the most demanding sector that needs higher precision in detection and integration for the realization of the diagnosis at the point of care (PoC). The COVID-19 pandemic, nevertheless, was an example of the escalated situation in terms of worldwide desperate need for fast, specific and reliable home test PoC devices for the timely screening of huge numbers of people to restrict the disease from further spread. This need spawned a wave of innovative approaches for early detection of COVID-19 antibodies in human swab or blood amongst which the FET biosensing gained much more attention due to their extraordinary LoD down to femtomolar (fM) with the comparatively faster response time. As the FET sensors are promising novel PoC devices with application in early diagnosis of various diseases and especially infectious diseases, in this research, we have reviewed the recent progress on developing FET sensors for infectious diseases diagnosis accompanied with a thorough discussion on the structure of Chem/BioFET sensors and the readout circuitry for output signal processing. This approach would help engineers and biologists to gain enough knowledge to initiate their design for accelerated innovations in response to the need for more efficient management of infectious diseases like COVID-19.
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Affiliation(s)
- Abbas Panahi
- Biologically Sensors and Actuators (BioSA) Laboratory, Lassonde School of Engineering, York University, Keel Street, Toronto, ON M3J 1P3, Canada; (A.P.); (D.S.); (S.F.)
- Department of Electrical Engineering and Computer Science, Lassonde School of Engineering, York University, Keel Street, Toronto, ON M3J 1P3, Canada
| | - Deniz Sadighbayan
- Biologically Sensors and Actuators (BioSA) Laboratory, Lassonde School of Engineering, York University, Keel Street, Toronto, ON M3J 1P3, Canada; (A.P.); (D.S.); (S.F.)
- Department of Biology, Faculty of Science, York University, Keel Street, Toronto, ON M3J 1P3, Canada
| | - Saghi Forouhi
- Biologically Sensors and Actuators (BioSA) Laboratory, Lassonde School of Engineering, York University, Keel Street, Toronto, ON M3J 1P3, Canada; (A.P.); (D.S.); (S.F.)
- Department of Electrical Engineering and Computer Science, Lassonde School of Engineering, York University, Keel Street, Toronto, ON M3J 1P3, Canada
| | - Ebrahim Ghafar-Zadeh
- Biologically Sensors and Actuators (BioSA) Laboratory, Lassonde School of Engineering, York University, Keel Street, Toronto, ON M3J 1P3, Canada; (A.P.); (D.S.); (S.F.)
- Department of Electrical Engineering and Computer Science, Lassonde School of Engineering, York University, Keel Street, Toronto, ON M3J 1P3, Canada
- Department of Biology, Faculty of Science, York University, Keel Street, Toronto, ON M3J 1P3, Canada
- Correspondence: ; Tel.: +1-(416)-736-2100 (ext. 44646)
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Forouhi S, Ghafar-Zadeh E. Applications of CMOS Devices for the Diagnosis and Control of Infectious Diseases. Micromachines (Basel) 2020; 11:E1003. [PMID: 33202888 PMCID: PMC7698050 DOI: 10.3390/mi11111003] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/18/2020] [Revised: 11/03/2020] [Accepted: 11/06/2020] [Indexed: 12/25/2022]
Abstract
Emerging infectious diseases such as coronavirus disease of 2019 (COVID-19), Ebola, influenza A, severe acute respiratory syndrome (SARS) and Middle East respiratory syndrome (MERS) in recent years have threatened the health and security of the global community as one of the greatest factors of mortality in the world. Accurate and immediate diagnosis of infectious agents and symptoms is a key to control the outbreak of these diseases. Rapid advances in complementary metal-oxide-semiconductor (CMOS) technology offers great advantages like high accuracy, high throughput and rapid measurements in biomedical research and disease diagnosis. These features as well as low cost, low power and scalability of CMOS technology can pave the way for the development of powerful devices such as point-of-care (PoC) systems, lab-on-chip (LoC) platforms and symptom screening devices for accurate and timely diagnosis of infectious diseases. This paper is an overview of different CMOS-based devices such as optical, electrochemical, magnetic and mechanical sensors developed by researchers to mitigate the problems associated with these diseases.
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Affiliation(s)
- Saghi Forouhi
- Biologically Inspired Sensors and Actuators (BioSA), Department of Electrical Engineering and Computer Science (EECS), Lassonde School of Engineering, York University, Toronto, ON M3J 1P3, Canada;
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Forouhi S, Dehghani R, Ghafar-Zadeh E. Toward High Throughput Core-CBCM CMOS Capacitive Sensors for Life Science Applications: A Novel Current-Mode for High Dynamic Range Circuitry. Sensors (Basel) 2018; 18:E3370. [PMID: 30304843 PMCID: PMC6210700 DOI: 10.3390/s18103370] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/25/2018] [Revised: 09/27/2018] [Accepted: 10/05/2018] [Indexed: 11/16/2022]
Abstract
This paper proposes a novel charge-based Complementary Metal Oxide Semiconductor (CMOS) capacitive sensor for life science applications. Charge-based capacitance measurement (CBCM) has significantly attracted the attention of researchers for the design and implementation of high-precision CMOS capacitive biosensors. A conventional core-CBCM capacitive sensor consists of a capacitance-to-voltage converter (CVC), followed by a voltage-to-digital converter. In spite of their high accuracy and low complexity, their input dynamic range (IDR) limits the advantages of core-CBCM capacitive sensors for most biological applications, including cellular monitoring. In this paper, after a brief review of core-CBCM capacitive sensors, we address this challenge by proposing a new current-mode core-CBCM design. In this design, we combine CBCM and current-controlled oscillator (CCO) structures to improve the IDR of the capacitive readout circuit. Using a 0.18 μm CMOS process, we demonstrate and discuss the Cadence simulation results to demonstrate the high performance of the proposed circuitry. Based on these results, the proposed circuit offers an IDR ranging from 873 aF to 70 fF with a resolution of about 10 aF. This CMOS capacitive sensor with such a wide IDR can be employed for monitoring cellular and molecular activities that are suitable for biological research and clinical purposes.
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Affiliation(s)
- Saghi Forouhi
- Department of Electrical and Computer Engineering, Isfahan University of Technology, 84156-83111 Isfahan, Iran.
- Biologically Inspired Sensors and Actuators (BioSA), Department of Electrical Engineering and Computer Science (EECS), Lassonde School of Engineering, York University, Toronto, ON M3J 1P3, Canada.
| | - Rasoul Dehghani
- Department of Electrical and Computer Engineering, Isfahan University of Technology, 84156-83111 Isfahan, Iran.
| | - Ebrahim Ghafar-Zadeh
- Biologically Inspired Sensors and Actuators (BioSA), Department of Electrical Engineering and Computer Science (EECS), Lassonde School of Engineering, York University, Toronto, ON M3J 1P3, Canada.
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