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Iqbal MJ, Javed Z, Herrera-Bravo J, Sadia H, Anum F, Raza S, Tahir A, Shahwani MN, Sharifi-Rad J, Calina D, Cho WC. Biosensing chips for cancer diagnosis and treatment: a new wave towards clinical innovation. Cancer Cell Int 2022; 22:354. [PMCID: PMC9664821 DOI: 10.1186/s12935-022-02777-7] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Accepted: 11/02/2022] [Indexed: 11/16/2022] Open
Abstract
AbstractRecent technological advances in nanoscience and material designing have led to the development of point-of-care devices for biomolecule sensing and cancer diagnosis. In situ and portable sensing devices for bedside, diagnosis can effectively improve the patient’s clinical outcomes and reduce the mortality rate. Detection of exosomal RNAs by immuno-biochip with increased sensitivity and specificity to diagnose cancer has raised the understanding of the tumor microenvironment and many other technology-based biosensing devices hold great promise for clinical innovations to conquer the unbeatable fort of cancer metastasis. Electrochemical biosensors are the most sensitive category of biomolecule detection sensors with significantly low concentrations down to the atomic level. In this sense, this review addresses the recent advances in cancer detection and diagnosis by developing significant biological sensing devices that are believed to have better sensing potential than existing facilities.
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Tuoheti A, Aiassa S, Criscuolo F, Stradolini F, Tzouvadaki I, Carrara S, Demarchi D. New Approach for Making Standard the Development of Biosensing Devices by a Modular Multi-Purpose Design. IEEE Trans Nanobioscience 2021; 19:339-346. [PMID: 32603293 DOI: 10.1109/tnb.2020.2995230] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
The fast widening of biosensing applications, such as healthcare, drug delivery, food, and military industries, is increasing the need for generality and compatibility among different sensors. To address this challenge, we present here an innovative approach for the fast development of new electronic biosensing systems, linking a custom-designed front-end with a multi-purpose system. We envision an open tool to help designers to focus on the target molecule and related detection method instead of designing each time a dedicated electronic device. The architecture of the proposed system is based on a modular approach, where only the front-end and the software need to be custom re-designed according to the application. Considering current research and applying a rigorous definition of the technical requirements, the core of the system is designed to fit the highest number of biosensing methods. The flexibility of this approach is successfully demonstrated with three different types of biosensors, i.e., amperometric, ion-sensitive, and memristive.
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Mohamad Hadis NS, Manaf AA, Rahman MFA, Ngalim SH, Hock Tang T, Citartan M, Ismail A, Herman SH. Fabrication and Characterization of Simple Structure Fluidic-Based Memristor for Immunosensing of NS1 Protein Application. BIOSENSORS-BASEL 2020; 10:bios10100143. [PMID: 33081162 PMCID: PMC7602703 DOI: 10.3390/bios10100143] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/02/2020] [Revised: 10/05/2020] [Accepted: 10/13/2020] [Indexed: 11/29/2022]
Abstract
Non-structural protein 1 (NS1 protein) is becoming a commonplace biomarker for the diagnostic of early detection of dengue. In this study, we sought to use a label-free approach of detecting NS1 protein by harnessing fluidic-based memristor sensor. The sensor was fabricated using sol-gel spin coating technique, by which TiO2 thin film is coated on the surface of Indium tin oxide (ITO) and a glass substrate. The sensor was then functionalized with glycidoxypropyl-trimethoxysilane (GPTS), acting as antibody for NS1. The addition of the target NS1 formed an antibody-antigen complex which altered the physical and electrical properties in sensing region. Sensing of the sensor is incumbent upon the measurement of Off-On resistance ratio. Imaging with Field Emission Scanning Electron Microscope (FESEM) evinced the successful immobilization of the antibody and the subsequent capture of the NS1 protein by the immobilized antibody. The detection limit actualized by the developed sensor was 52 nM and the diameter of 2 mm gives the most optimal measurement. The developed sensor demonstrated an immense potential towards the development of label-free diagnostic of early dengue infection.
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Affiliation(s)
- Nor Shahanim Mohamad Hadis
- Collaborative Microelectronic Design Excellence Centre (CEDEC), Sains@USM, Universiti Sains Malaysia, Pulau Pinang 11900, Malaysia
- Faculty of Electrical Engineering, Universiti Teknologi MARA Cawangan Pulau Pinang, Kampus Permatang Pauh, Pulau Pinang 13500, Malaysia;
- Correspondence: (N.S.M.H.); (A.A.M.)
| | - Asrulnizam Abd Manaf
- Collaborative Microelectronic Design Excellence Centre (CEDEC), Sains@USM, Universiti Sains Malaysia, Pulau Pinang 11900, Malaysia
- Correspondence: (N.S.M.H.); (A.A.M.)
| | - Mohamad Faizal Abd Rahman
- Collaborative Microelectronic Design Excellence Centre (CEDEC), Sains@USM, Universiti Sains Malaysia, Pulau Pinang 11900, Malaysia
- Faculty of Electrical Engineering, Universiti Teknologi MARA Cawangan Pulau Pinang, Kampus Permatang Pauh, Pulau Pinang 13500, Malaysia;
| | - Siti Hawa Ngalim
- Regenerative Medicine Cluster, Advanced Medical & Dental Institute (AMDI), Universiti Sains Malaysia, Pulau Pinang 13200, Malaysia;
| | - Thean Hock Tang
- Infectomics Cluster, Advanced Medical & Dental Institute (AMDI), Universiti Sains Malaysia, Pulau Pinang 13200, Malaysia; (T.H.T.); (M.C.)
| | - Marimuthu Citartan
- Infectomics Cluster, Advanced Medical & Dental Institute (AMDI), Universiti Sains Malaysia, Pulau Pinang 13200, Malaysia; (T.H.T.); (M.C.)
| | - Aziah Ismail
- Institute for Research in Molecular Medicine (INFORMM), Universiti Sains Malaysia, Kelantan 16150, Malaysia;
| | - Sukreen Hana Herman
- Nano-Electronics Centre (NET), Universiti Teknologi MARA, Shah Alam, Selangor 40450, Malaysia;
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Sahu DP, Jammalamadaka SN. Detection of bovine serum albumin using hybrid TiO 2 + graphene oxide based Bio - resistive random access memory device. Sci Rep 2019; 9:16141. [PMID: 31695093 PMCID: PMC6834672 DOI: 10.1038/s41598-019-52522-w] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2019] [Accepted: 10/15/2019] [Indexed: 11/09/2022] Open
Abstract
Bio - molecules detection and their quantification with a high precision is essential in modern era of medical diagnostics. In this context, the memristor device which can change its resistance state is a promising technique to sense the bio - molecules. In this work, detection of the Bovine Serum Albumin (BSA) protein using resistive switching memristors based on TiO2 and TiO2 + graphene oxide (GO) is explored. The sensitivity of BSA detection is found to be 4 mg/mL. Both the devices show an excellent bipolar resistive switching with an on/off ratio of 73 and 100 respectively, which essentially demonstrates that the device with GO, distinguishes the resistance states with a high precision. The enhanced performance in the GO inserted device (~ 650 cycles) is attributed to the prevention of multi-dimensional and random growth of conductive paths.
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Affiliation(s)
- Dwipak Prasad Sahu
- Magnetic Materials and Device Physics Laboratory, Department of Physics, Indian Institute of Technology Hyderabad, Hyderabad, 502 285, India
| | - S Narayana Jammalamadaka
- Magnetic Materials and Device Physics Laboratory, Department of Physics, Indian Institute of Technology Hyderabad, Hyderabad, 502 285, India.
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Xu Y, Hu X, Kundu S, Nag A, Afsarimanesh N, Sapra S, Mukhopadhyay SC, Han T. Silicon-Based Sensors for Biomedical Applications: A Review. SENSORS 2019; 19:s19132908. [PMID: 31266148 PMCID: PMC6651638 DOI: 10.3390/s19132908] [Citation(s) in RCA: 44] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/10/2019] [Revised: 06/27/2019] [Accepted: 06/27/2019] [Indexed: 01/20/2023]
Abstract
The paper highlights some of the significant works done in the field of medical and biomedical sensing using silicon-based technology. The use of silicon sensors is one of the pivotal and prolonged techniques employed in a range of healthcare, industrial and environmental applications by virtue of its distinct advantages over other counterparts in Microelectromechanical systems (MEMS) technology. Among them, the sensors for biomedical applications are one of the most significant ones, which not only assist in improving the quality of human life but also help in the field of microfabrication by imparting knowledge about how to develop enhanced multifunctional sensing prototypes. The paper emphasises the use of silicon, in different forms, to fabricate electrodes and substrates for the sensors that are to be used for biomedical sensing. The electrical conductivity and the mechanical flexibility of silicon vary to a large extent depending on its use in developing prototypes. The article also explains some of the bottlenecks that need to be dealt with in the current scenario, along with some possible remedies. Finally, a brief market survey is given to estimate a probable increase in the usage of silicon in developing a variety of biomedical prototypes in the upcoming years.
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Affiliation(s)
- Yongzhao Xu
- School of Electronic Engineering, Dongguan University of Technology, Dongguan 523808, China
| | - Xiduo Hu
- School of Electronic Engineering, Dongguan University of Technology, Dongguan 523808, China
| | - Sudip Kundu
- CSIR-Central Mechanical Engineering Research Institute, Durgapur, West Bengal 713209, India
| | - Anindya Nag
- DGUT-CNAM Institute, Dongguan University of Technology, Dongguan 523106, China.
| | | | - Samta Sapra
- School of Engineering, Macquarie University, Sydney 2109, Australia
| | | | - Tao Han
- DGUT-CNAM Institute, Dongguan University of Technology, Dongguan 523106, China
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Tzouvadaki I, Jolly P, Lu X, Ingebrandt S, de Micheli G, Estrela P, Carrara S. Label-Free Ultrasensitive Memristive Aptasensor. NANO LETTERS 2016; 16:4472-6. [PMID: 27341189 DOI: 10.1021/acs.nanolett.6b01648] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/12/2023]
Abstract
We present the very first worldwide ever-reported electrochemical biosensor based on a memristive effect and DNA aptamers. This novel device is developed to propose a completely new approach in cancer diagnostics. In this study, an affinity-based technique is presented for the detection of the prostate specific antigen (PSA) using DNA aptamers. The hysteretic properties of memristive silicon nanowires functionalized with these DNA aptamers provide a label-free and ultrasensitive biodetection technique. The ultrasensitive detection is hereby demonstrated for PSA with a limit of detection down to 23 aM, best ever published value for electrochemical biosensors in PSA detection. The effect of polyelectrolytes on our memristive devices is also reported to further show how positive or negative charges affect the memristive hysteresis. With such an approach, combining memristive nanowires and aptamers, memristive aptamer-based biosensors can be proposed to detect a wide range of cancer markers with unprecedent ultrasensitivities to also address the issue of an early detection of cancer.
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Affiliation(s)
- Ioulia Tzouvadaki
- Integrated System Laboratory, École Polytechnique Fédérale de Lausanne , 1015 Lausanne, Switzerland
| | - Pawan Jolly
- Department of Electronic & Electrical Engineering, University of Bath , Bath BA2 7AY, United Kingdom
| | - Xiaoling Lu
- Department of Informatics and Microsystem Technology, University of Applied Sciences Kaiserslautern , Zweibrücken, Germany
| | - Sven Ingebrandt
- Department of Informatics and Microsystem Technology, University of Applied Sciences Kaiserslautern , Zweibrücken, Germany
| | - Giovanni de Micheli
- Integrated System Laboratory, École Polytechnique Fédérale de Lausanne , 1015 Lausanne, Switzerland
| | - Pedro Estrela
- Department of Electronic & Electrical Engineering, University of Bath , Bath BA2 7AY, United Kingdom
| | - Sandro Carrara
- Integrated System Laboratory, École Polytechnique Fédérale de Lausanne , 1015 Lausanne, Switzerland
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