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Ranjbari S, Almahmeed W, Kesharwani P, Sahebkar A. Advancements in biosensor technologies for fibrinogen detection in cardiovascular disorders. Talanta 2024; 280:126687. [PMID: 39126966 DOI: 10.1016/j.talanta.2024.126687] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2024] [Revised: 08/04/2024] [Accepted: 08/06/2024] [Indexed: 08/12/2024]
Abstract
Rapid and accurate identification of cardiovascular diseases (CVDs) are crucial for timely medical interventions and improved patient outcomes. Fibrinogen (Fib) has emerged as a valuable biomarker for CVDs, playing a significant role in their early detection. Elevated levels of Fib are associated with an increased risk of developing CVD, highlighting its importance for more precise diagnosis and effective treatment strategies. In recent years, significant advancements have been made in developing biosensor-based approaches for detecting Fib, offering high sensitivity and specificity. This review aims to explore the impact of Fib on cardiovascular conditions, assess the current advancements, and discuss the future potential of biosensors in Fib research for diagnosing cardiovascular disorders. Furthermore, we evaluate various biosensor techniques, including optical, electrochemical, electronic, and gravimetric methods, in terms of their utility for measuring Fib in clinical samples such as serum, plasma, whole blood, and other body fluids. A comparative analysis of these techniques is conducted based on their performance characteristics. By providing a comprehensive overview of the relationship between Fib and cardiovascular ailments, this review aims to clarify the advancements in biosensor technology for Fib detection. The comparison of different biosensor techniques will aid researchers and clinicians in selecting the most suitable approach for their specific diagnostic needs. Ultimately, integrating biosensors into clinical practice has the potential to revolutionize the detection and management of CVDs, leading to improved patient care and outcomes.
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Affiliation(s)
- Sara Ranjbari
- Applied Biomedical Research Center, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Wael Almahmeed
- Heart and Vascular Institute, Cleveland Clinic Abu Dhabi, Abu Dhabi, United Arab Emirates
| | - Prashant Kesharwani
- Department of Pharmaceutics, School of Pharmaceutical Education and Research, Jamia Hamdard, New Delhi, 110062, India.
| | - Amirhossein Sahebkar
- Center for Global Health Research, Saveetha Medical College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, India; Biotechnology Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Sciences, Mashhad, Iran; Applied Biomedical Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
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2
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An J, Park H, Ju M, Woo Y, Seo Y, Min J, Lee T. An updated review on the development of a nanomaterial-based field-effect transistor-type biosensors to detect exosomes for cancer diagnosis. Talanta 2024; 279:126604. [PMID: 39068827 DOI: 10.1016/j.talanta.2024.126604] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2024] [Revised: 06/24/2024] [Accepted: 07/22/2024] [Indexed: 07/30/2024]
Abstract
Cancer, a life-threatening genetic disease caused by abnormalities in normal cell growth regulatory functions, poses a significant challenge that current medical technologies cannot fully overcome. The current desired breakthrough is to diagnose cancer as early as possible and increase survival rates through treatments tailored to the prognosis and appropriate follow-up. From a perspective that reflects this contemporary paradigm of cancer diagnostics, exosomes are emerging as promising biomarkers. Exosomes, serving as mobile biological information repositories of cancer cells, have been known to create a microtumor environment in surrounding cells, and significant insight into the clinical significance of cancer diagnosis targeting them has been reported. Therefore, there are growing interests in constructing a system that enables continuous screening with a focus on patient-friendly and flexible diagnosis, aiming to improve cancer screening rates through exosome detection. This review focuses on a proposed exosome-embedded biological information-detecting platform employing a field-effect transistor (FET)-based biosensor that leverages portability, cost-effectiveness, and rapidity to minimize the stages of sacrifice attributable to cancer. The FET-applied biosensing technique, stemming from variations in an electric field, is considered an early detection system, offering high sensitivity and a prompt response frequency for the qualitative and quantitative analysis of biomolecules. Hence, an in-depth discussion was conducted on the understanding of various exosome-based cancer biomarkers and the clinical significance of recent studies on FET-based biosensors applying them.
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Affiliation(s)
- Jeongyun An
- Department of Chemical Engineering, Kwangwoon University, 20 Kwangwoon-Ro, Nowon-Gu, Seoul, 01897, Republic of Korea
| | - Hyunjun Park
- Department of Chemical Engineering, Kwangwoon University, 20 Kwangwoon-Ro, Nowon-Gu, Seoul, 01897, Republic of Korea
| | - Minyoung Ju
- Department of Chemical Engineering, Kwangwoon University, 20 Kwangwoon-Ro, Nowon-Gu, Seoul, 01897, Republic of Korea
| | - Yeeun Woo
- Department of Chemical Engineering, Kwangwoon University, 20 Kwangwoon-Ro, Nowon-Gu, Seoul, 01897, Republic of Korea
| | - Yoshep Seo
- Department of Chemical Engineering, Kwangwoon University, 20 Kwangwoon-Ro, Nowon-Gu, Seoul, 01897, Republic of Korea
| | - Junhong Min
- School of Integrative Engineering, Chung-Ang University, Dongjak-Gu, Seoul, 06974, Republic of Korea.
| | - Taek Lee
- Department of Chemical Engineering, Kwangwoon University, 20 Kwangwoon-Ro, Nowon-Gu, Seoul, 01897, Republic of Korea.
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Jeyaraman M, Jeyaraman N, Ramasubramanian S, Balaji S, Iyengar KP, Jain VK, Rajendran RL, Gangadaran P. Nanomaterials in point-of-care diagnostics: Bridging the gap between laboratory and clinical practice. Pathol Res Pract 2024; 263:155685. [PMID: 39471524 DOI: 10.1016/j.prp.2024.155685] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2024] [Revised: 10/20/2024] [Accepted: 10/25/2024] [Indexed: 11/01/2024]
Abstract
The integration of nanomaterials into biosensing technologies represents a paradigm shift in medical diagnostics and environmental monitoring, marking a significant advancement in the field. This comprehensive review examines the role of nanomaterials, such as gold nanoparticles, carbon nanotubes, graphene, and quantum dots, in enhancing the performance of biosensors. These nanomaterials contribute unique physical and chemical properties, including exceptional electrical, optical, and thermal conductivities, which significantly improve the sensitivity, specificity, and versatility of biosensors. The review provides an in-depth analysis of the mechanisms by which these nanomaterials enhance biosensor functionality, including increased surface-to-volume ratio, improved electron transfer rates, and enhanced signal transduction. The practical applications of these advanced biosensors are explored across various domains, including oncology, infectious diseases, diabetes management, cardiovascular health, and neurodegenerative conditions, emphasizing their role in early disease detection, real-time health monitoring, and personalized medicine. Furthermore, the review addresses the critical challenges and limitations facing the field, such as biocompatibility, biofouling, stability, and integration into existing healthcare systems. Strategies to overcome these challenges, including advanced material engineering and novel fabrication techniques, are discussed. The future of nanomaterial-based biosensors is envisioned through the lens of emerging trends and technological innovations. The integration with microfluidics, artificial intelligence, and wearable technology is highlighted as a path toward more personalized, efficient, and accessible healthcare solutions. This review underscores the transformative impact of nanomaterials in biosensing, projecting a future where these advanced technologies play a pivotal role in reshaping diagnostics, patient care, and environmental monitoring, thereby significantly enhancing healthcare and public health outcomes.
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Affiliation(s)
- Madhan Jeyaraman
- Department of Orthopaedics, ACS Medical College and Hospital, Dr MGR Educational and Research Institute, Chennai, Tamil Nadu 600077, India
| | - Naveen Jeyaraman
- Department of Orthopaedics, ACS Medical College and Hospital, Dr MGR Educational and Research Institute, Chennai, Tamil Nadu 600077, India.
| | - Swaminathan Ramasubramanian
- Department of Orthopaedics, Government Medical College, Omandurar Government Estate, Chennai, Tamil Nadu 600002, India
| | - Sangeetha Balaji
- Department of Orthopaedics, Government Medical College, Omandurar Government Estate, Chennai, Tamil Nadu 600002, India
| | - Karthikeyan P Iyengar
- Trauma and Orthopaedic Surgeon, Southport and Ormskirk Hospitals, Mersey and West Lancashire Teaching NHS Trust, Southport PR8 6PN, United Kingdom
| | - Vijay Kumar Jain
- Department of Orthopaedics, Atal Bihari Vajpayee Institute of Medical Sciences, Dr Ram Manohar Lohia Hospital, New Delhi 110001, India
| | - Ramya Lakshmi Rajendran
- Department of Nuclear Medicine, School of Medicine, Kyungpook National University, Daegu 41944, Republic of Korea; Cardiovascular Research Institute, Kyungpook National University, Daegu, Republic of Korea.
| | - Prakash Gangadaran
- Department of Nuclear Medicine, School of Medicine, Kyungpook National University, Daegu 41944, Republic of Korea; BK21 FOUR KNU Convergence Educational Program of Biomedical Sciences for Creative Future Talents, Department of Biomedical Sciences, School of Medicine, Kyungpook National University, Daegu 41944, Republic of Korea; Cardiovascular Research Institute, Kyungpook National University, Daegu, Republic of Korea.
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Sharma A, Faber H, AlGhamdi WS, Naphade D, Lin Y, Heeney M, Anthopoulos TD. Label-Free Metal-Oxide Transistor Biosensors for Metabolite Detection in Human Saliva. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2306038. [PMID: 38381100 PMCID: PMC11251559 DOI: 10.1002/advs.202306038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Revised: 01/14/2024] [Indexed: 02/22/2024]
Abstract
Metabolites are essential molecules involved in various metabolic processes, and their deficiencies and excessive concentrations can trigger significant physiological consequences. The detection of multiple metabolites within a non-invasively collected biofluid could facilitate early prognosis and diagnosis of severe diseases. Here, a metal oxide heterojunction transistor (HJ-TFT) sensor is developed for the label-free, rapid detection of uric acid (UA) and 25(OH)Vitamin-D3 (Vit-D3) in human saliva. The HJ-TFTs utilize a solution-processed In2O3/ZnO channel functionalized with uricase enzyme and Vit-D3 antibody for the selective detection of UA and Vit-D3, respectively. The ultra-thin tri-channel architecture facilitates strong coupling between the electrons transported along the buried In2O3/ZnO heterointerface and the electrostatic perturbations caused by the interactions between the surface-immobilized bioreceptors and target analytes. The biosensors can detect a wide range of concentrations of UA (from 500 nm to 1000 µM) and Vit-D3 (from 100 pM to 120 nm) in human saliva within 60 s. Moreover, the biosensors exhibit good linearity with the physiological concentration of metabolites and limit of detections of ≈152 nm for UA and ≈7 pM for Vit-D3 in real saliva. The specificity is demonstrated against various interfering species, including other metabolites and proteins found in saliva, further showcasing its capabilities.
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Affiliation(s)
- Abhinav Sharma
- King Abdullah University of Science and Technology (KAUST)KAUST Solar Center (KSC)Thuwal23955–6900Saudi Arabia
| | - Hendrik Faber
- King Abdullah University of Science and Technology (KAUST)KAUST Solar Center (KSC)Thuwal23955–6900Saudi Arabia
| | - Wejdan S. AlGhamdi
- King Abdullah University of Science and Technology (KAUST)KAUST Solar Center (KSC)Thuwal23955–6900Saudi Arabia
| | - Dipti Naphade
- King Abdullah University of Science and Technology (KAUST)KAUST Solar Center (KSC)Thuwal23955–6900Saudi Arabia
| | - Yen‐Hung Lin
- Department of Electronic and Computer EngineeringThe Hong Kong University of Science and TechnologyClear Water BayKowloonHong Kong
| | - Martin Heeney
- King Abdullah University of Science and Technology (KAUST)KAUST Solar Center (KSC)Thuwal23955–6900Saudi Arabia
| | - Thomas D. Anthopoulos
- King Abdullah University of Science and Technology (KAUST)KAUST Solar Center (KSC)Thuwal23955–6900Saudi Arabia
- Photon Science Institute, Henry Royce InstituteDepartment of Electrical and Electronic Engineering, The University of ManchesterManchesterM13 9PLUnited Kingdom
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Al-Younis ZK, Almajidi YQ, Mansouri S, Ahmad I, Turdialiyev U, O Alsaab H, F Ramadan M, Joshi SK, Alawadi AH, Alsaalamy A. Label-Free Field Effect Transistors (FETs) for Fabrication of Point-of-Care (POC) Biomedical Detection Probes. Crit Rev Anal Chem 2024:1-22. [PMID: 38829552 DOI: 10.1080/10408347.2024.2356842] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/05/2024]
Abstract
Field effect transistors (FETs)-based detection probes are powerful platforms for quantification in biological media due to their sensitivity, ease of miniaturization, and ability to function in biological media. Especially, FET-based platforms have been utilized as promising probes for label-free detections with the potential for use in real-time monitoring. The integration of new materials in the FET-based probe enhances the analytical performance of the developed probes by increasing the active surface area, rejecting interfering agents, and providing the possibility for surface modification. Furthermore, the use of new materials eliminates the need for traditional labeling techniques, providing rapid and cost-effective detection of biological analytes. This review discusses the application of materials in the development of FET-based label-free systems for point-of-care (POC) analysis of different biomedical analytes from 2018 to 2024. The mechanism of action of the reported probes is discussed, as well as their pros and cons were also investigated. Also, the possible challenges and potential for the fabrication of commercial devices or methods for use in clinics were discussed.
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Affiliation(s)
| | - Yasir Qasim Almajidi
- Department of Pharmacy (Pharmaceutics), Baghdad College of Medical Sciences, Baghdad, Iraq
| | - Sofiene Mansouri
- Department of Biomedical Technology, College of Applied Medical Sciences, Al-Kharj, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi Arabiain
- Laboratory of Biophysics and Medical Technologies, Higher Institute of Medical Technologies of Tunis, University of Tunis El Manar, Tunis, Tunisia
| | - Irfan Ahmad
- Department of Clinical Laboratory Sciences, College of Applied Medical Science, King Khalid University, Abha, Saudi Arabia
| | - Umid Turdialiyev
- Department of Technical Sciences, Andijan Machine-Building Institute, Andijan, Uzbekistan
| | - Hashem O Alsaab
- Department of Pharmaceutics and Pharmaceutical Technology, Taif University, Taif, Saudi Arabia
| | | | - S K Joshi
- Department of Mechanical Engineering, Uttaranchal Institute of Technology, Uttaranchal University, Dehradun, India
| | - Ahmed Hussien Alawadi
- College of Technical Engineering, the Islamic University, Najaf, Iraq
- College of Technical Engineering, the Islamic University of Al Diwaniyah, Al Diwaniyah, Iraq
- College of Technical Engineering, the Islamic University of Babylon, Babylon, Iraq
| | - Ali Alsaalamy
- College of Technical Engineering, Imam Ja'afar Al-Sadiq University, Al-Muthanna, Iraq
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Chen SJ, Lu SY, Tseng CC, Huang KH, Chen TL, Fu LM. Rapid Microfluidic Immuno-Biosensor Detection System for the Point-of-Care Determination of High-Sensitivity Urinary C-Reactive Protein. BIOSENSORS 2024; 14:283. [PMID: 38920587 PMCID: PMC11201708 DOI: 10.3390/bios14060283] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/23/2024] [Revised: 05/20/2024] [Accepted: 05/28/2024] [Indexed: 06/27/2024]
Abstract
A microfluidic immuno-biosensor detection system consisting of a microfluidic spectrum chip and a micro-spectrometer detection device is presented for the rapid point-of-care (POC) detection and quantification of high-sensitivity C-reactive protein (hs-CRP) in urine. The detection process utilizes a highly specific enzyme-linked immunosorbent assay (ELISA) method, in which capture antibodies and detection antibodies are pre-deposited on the substrate of the microchip and used to form an immune complex with the target antigen. Horseradish peroxidase (HRP) is added as a marker enzyme, followed by a colorimetric reaction using 3,3',5,5'-tetramethylbenzidine (TMB). The absorbance values (a.u.) of the colorimetric reaction compounds are measured using a micro-spectrometer device and used to measure the corresponding hs-CRP concentration according to the pre-established calibration curve. It is shown that the hs-CRP concentration can be determined within 50 min. In addition, the system achieves recovery rates of 93.8-106.2% in blind water samples and 94.5-104.6% in artificial urine. The results showed that the CRP detection results of 41 urine samples from patients with chronic kidney disease (CKD) were highly consistent with the conventional homogeneous particle-enhanced turbidimetric immunoassay (PETIA) method's detection results (R2 = 0.9910). The experimental results showed its applicability in the detection of CRP in both urine and serum. Overall, the results indicate that the current microfluidic ELISA detection system provides an accurate and reliable method for monitoring the hs-CRP concentration in point-of-care applications.
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Affiliation(s)
- Szu-Jui Chen
- Department of Engineering Science, National Cheng Kung University, Tainan 70101, Taiwan; (S.-J.C.); (S.-Y.L.); (K.-H.H.); (T.-L.C.)
| | - Song-Yu Lu
- Department of Engineering Science, National Cheng Kung University, Tainan 70101, Taiwan; (S.-J.C.); (S.-Y.L.); (K.-H.H.); (T.-L.C.)
| | - Chin-Chung Tseng
- Division of Nephrology, Department of Internal Medicine, National Cheng Kung University Hospital, Tainan 70101, Taiwan;
- College of Medicine, National Cheng Kung University, Tainan 70101, Taiwan
| | - Kuan-Hsun Huang
- Department of Engineering Science, National Cheng Kung University, Tainan 70101, Taiwan; (S.-J.C.); (S.-Y.L.); (K.-H.H.); (T.-L.C.)
| | - To-Lin Chen
- Department of Engineering Science, National Cheng Kung University, Tainan 70101, Taiwan; (S.-J.C.); (S.-Y.L.); (K.-H.H.); (T.-L.C.)
| | - Lung-Ming Fu
- Department of Engineering Science, National Cheng Kung University, Tainan 70101, Taiwan; (S.-J.C.); (S.-Y.L.); (K.-H.H.); (T.-L.C.)
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Ming P, Li J, Yang L, Yu Y, Tang L, Zhou H, Zhang ZY, Zhang GJ. A Drug Molecule-Modified Graphene Field-Effect Transistor Nanosensor for Rapid, Label-Free, and Ultrasensitive Detection of Estrogen Receptor α Protein. Anal Chem 2024; 96:3454-3461. [PMID: 38359782 DOI: 10.1021/acs.analchem.3c04809] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/17/2024]
Abstract
Estrogen receptor α (ERα) is an important biomarker in breast cancer diagnosis and treatment. Sensitive and accurate detection of ERα protein expression is crucial in guiding selection of an appropriate therapeutic strategy to improve the effectiveness and prognosis of breast cancer treatment. Herein, we report a liquid-gated graphene field-effect transistor (FET) biosensor that enables rapid, sensitive, and label-free detection of the ERα protein by employing a novel drug molecule as a capture probe. The drug molecule was synthesized and subsequently immobilized onto the sensing surface of the fabricated graphene FET, which was able to distinguish the ERα-positive from the ERα-negative protein. The developed sensor not only demonstrated a low detection limit (LOD: 2.62 fM) but also achieved a fast response to ERα protein samples within 30 min. Moreover, depending on the relationship between the change of dirac point and the ERα protein concentrations, the dissociation constant (Kd) was estimated to be 7.35 ± 0.06 pM, indicating that the drug probe-modified graphene FET had a good affinity with ERα protein. The nanosensor was able to analyze ERα proteins from 36 cell samples lysates. These results show that the graphene FET sensor was able to differentiate between ERα-positive and ERα-negative cells, indicating a promising biosensor for the ultrasensitive and rapid detection of ERα protein without antibody labeling.
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Affiliation(s)
- Pinghong Ming
- School of Laboratory Medicine, Hubei University of Chinese Medicine, 16 Huangjia Lake West Road, Wuhan 430065, P. R. China
- Department of Clinical Laboratory, The People's Hospital of Longhua, Shenzhen 518109, P. R. China
| | - Jiahao Li
- School of Laboratory Medicine, Hubei University of Chinese Medicine, 16 Huangjia Lake West Road, Wuhan 430065, P. R. China
| | - Lu Yang
- Department of Radiology, The Affiliated Hospital of Southwest Medical University, Nuclear Medicine and Molecular Imaging Key Laboratory of Sichuan Province, Luzhou 646000, P. R. China
| | - Yi Yu
- School of Laboratory Medicine, Hubei University of Chinese Medicine, 16 Huangjia Lake West Road, Wuhan 430065, P. R. China
| | - Lina Tang
- School of Laboratory Medicine, Hubei University of Chinese Medicine, 16 Huangjia Lake West Road, Wuhan 430065, P. R. China
| | - Haibing Zhou
- Hubei Provincial Key Laboratory of Developmentally Originated Disease, State Key Laboratory of Virology, Wuhan University School of Pharmaceutical Sciences, Wuhan 430071, P. R. China
| | - Zhi-Yong Zhang
- Key Laboratory for the Physics and Chemistry of Nanodevices and Center for Carbon-based Electronics, School of Electronics, Peking University, Beijing 100871, P. R. China
| | - Guo-Jun Zhang
- School of Laboratory Medicine, Hubei University of Chinese Medicine, 16 Huangjia Lake West Road, Wuhan 430065, P. R. China
- Hubei Shizhen Laboratory, Hubei University of Chinese Medicine, 16 Huangjia Lake West Road, Wuhan 430065, P. R. China
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Jiang X, Shi C, Wang Z, Huang L, Chi L. Healthcare Monitoring Sensors Based on Organic Transistors: Surface/Interface Strategy and Performance. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2024; 36:e2308952. [PMID: 37951211 DOI: 10.1002/adma.202308952] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 10/16/2023] [Indexed: 11/13/2023]
Abstract
Organic transistors possess inherent advantages such as flexibility, biocompatibility, customizable chemical structures, solution-processability, and amplifying capabilities, making them highly promising for portable healthcare sensor applications. Through convenient and diverse modifications at the material and device surfaces or interfaces, organic transistors allow for a wide range of sensor applications spanning from chemical and biological to physical sensing. In this comprehensive review, the surface and interface engineering aspect associated with four types of typical healthcare sensors is focused. The device operation principles and sensing mechanisms are systematically analyzed and highlighted, and particularly surface/interface functionalization strategies that contribute to the enhancement of sensing performance are focused. An outlook and perspective on the critical issues and challenges in the field of healthcare sensing using organic transistors are provided as well.
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Affiliation(s)
- Xingyu Jiang
- Institute of Functional Nano & Soft Materials (FUNSOM), Jiangsu Key Laboratory for Carbon-Based Functional Materials & Devices, Soochow University, 199 Ren'ai Road, Suzhou, Jiangsu, 215123, P. R. China
| | - Cheng Shi
- Institute of Functional Nano & Soft Materials (FUNSOM), Jiangsu Key Laboratory for Carbon-Based Functional Materials & Devices, Soochow University, 199 Ren'ai Road, Suzhou, Jiangsu, 215123, P. R. China
| | - Zi Wang
- Suzhou Laboratory, 388 Ruoshui Road, Suzhou, 215123, P. R. China
| | - Lizhen Huang
- Institute of Functional Nano & Soft Materials (FUNSOM), Jiangsu Key Laboratory for Carbon-Based Functional Materials & Devices, Soochow University, 199 Ren'ai Road, Suzhou, Jiangsu, 215123, P. R. China
| | - Lifeng Chi
- Institute of Functional Nano & Soft Materials (FUNSOM), Jiangsu Key Laboratory for Carbon-Based Functional Materials & Devices, Soochow University, 199 Ren'ai Road, Suzhou, Jiangsu, 215123, P. R. China
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Cunha AB, Schuelke C, Mesri A, Ruud SK, Aizenshtadt A, Ferrari G, Heiskanen A, Asif A, Keller SS, Ramos-Moreno T, Kalvøy H, Martínez-Serrano A, Krauss S, Emnéus J, Sampietro M, Martinsen ØG. Development of a Smart Wireless Multisensor Platform for an Optogenetic Brain Implant. SENSORS (BASEL, SWITZERLAND) 2024; 24:575. [PMID: 38257668 PMCID: PMC11154348 DOI: 10.3390/s24020575] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Revised: 01/09/2024] [Accepted: 01/12/2024] [Indexed: 01/24/2024]
Abstract
Implantable cell replacement therapies promise to completely restore the function of neural structures, possibly changing how we currently perceive the onset of neurodegenerative diseases. One of the major clinical hurdles for the routine implementation of stem cell therapies is poor cell retention and survival, demanding the need to better understand these mechanisms while providing precise and scalable approaches to monitor these cell-based therapies in both pre-clinical and clinical scenarios. This poses significant multidisciplinary challenges regarding planning, defining the methodology and requirements, prototyping and different stages of testing. Aiming toward an optogenetic neural stem cell implant controlled by a smart wireless electronic frontend, we show how an iterative development methodology coupled with a modular design philosophy can mitigate some of these challenges. In this study, we present a miniaturized, wireless-controlled, modular multisensor platform with fully interfaced electronics featuring three different modules: an impedance analyzer, a potentiostat and an optical stimulator. We show the application of the platform for electrical impedance spectroscopy-based cell monitoring, optical stimulation to induce dopamine release from optogenetically modified neurons and a potentiostat for cyclic voltammetry and amperometric detection of dopamine release. The multisensor platform is designed to be used as an opto-electric headstage for future in vivo animal experiments.
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Affiliation(s)
- André B. Cunha
- Department of Physics, University of Oslo, Sem Sælands vei 24, 0371 Oslo, Norway; (A.B.C.); (C.S.); (S.K.R.)
| | - Christin Schuelke
- Department of Physics, University of Oslo, Sem Sælands vei 24, 0371 Oslo, Norway; (A.B.C.); (C.S.); (S.K.R.)
- Hybrid Technology Hub—Centre of Excellence, Institute of Basic Medical Sciences, P.O. Box 1110 Blindern, 0317 Oslo, Norway; (A.A.); (S.K.)
| | - Alireza Mesri
- Department of Electronics Information and Bioengineering, Politecnico di Milano, Piazza L. da Vinci 32, 20133 Milan, Italy; (A.M.); (G.F.); (M.S.)
| | - Simen K. Ruud
- Department of Physics, University of Oslo, Sem Sælands vei 24, 0371 Oslo, Norway; (A.B.C.); (C.S.); (S.K.R.)
| | - Aleksandra Aizenshtadt
- Hybrid Technology Hub—Centre of Excellence, Institute of Basic Medical Sciences, P.O. Box 1110 Blindern, 0317 Oslo, Norway; (A.A.); (S.K.)
| | - Giorgio Ferrari
- Department of Electronics Information and Bioengineering, Politecnico di Milano, Piazza L. da Vinci 32, 20133 Milan, Italy; (A.M.); (G.F.); (M.S.)
| | - Arto Heiskanen
- Department of Biotechnology and Biomedicine, Technical University of Denmark, 2800 Kongens Lyngby, Denmark; (A.H.); (A.A.); (J.E.)
| | - Afia Asif
- Department of Biotechnology and Biomedicine, Technical University of Denmark, 2800 Kongens Lyngby, Denmark; (A.H.); (A.A.); (J.E.)
| | - Stephan S. Keller
- National Centre for Nano Fabrication and Characterization, Technical University of Denmark, 2800 Kongens Lyngby, Denmark;
| | - Tania Ramos-Moreno
- Lund Stem Cell Center, Division of Neurosurgery, Department of Clinical Sciences, Faculty of Medicine, Lund University, 22184 Lund, Sweden;
| | - Håvard Kalvøy
- Department of Clinical and Biomedical Engineering, Oslo University Hospital, Sognsvannsveien 20, 0372 Oslo, Norway;
| | - Alberto Martínez-Serrano
- Department of Molecular Neurobiology, Center of Molecular Biology ‘Severo Ochoa’, Universidad Autónoma de Madrid, Calle Nicolás Cabrera 1, 28049 Madrid, Spain;
| | - Stefan Krauss
- Hybrid Technology Hub—Centre of Excellence, Institute of Basic Medical Sciences, P.O. Box 1110 Blindern, 0317 Oslo, Norway; (A.A.); (S.K.)
- Department of Immunology and Transfusion Medicine, Oslo University Hospital, P.O. Box 4950, 0424 Oslo, Norway
| | - Jenny Emnéus
- Department of Biotechnology and Biomedicine, Technical University of Denmark, 2800 Kongens Lyngby, Denmark; (A.H.); (A.A.); (J.E.)
| | - Marco Sampietro
- Department of Electronics Information and Bioengineering, Politecnico di Milano, Piazza L. da Vinci 32, 20133 Milan, Italy; (A.M.); (G.F.); (M.S.)
| | - Ørjan G. Martinsen
- Department of Physics, University of Oslo, Sem Sælands vei 24, 0371 Oslo, Norway; (A.B.C.); (C.S.); (S.K.R.)
- Department of Clinical and Biomedical Engineering, Oslo University Hospital, Sognsvannsveien 20, 0372 Oslo, Norway;
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10
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Ramezani G, Stiharu I, van de Ven TGM, Nerguizian V. Advancement in Biosensor Technologies of 2D MaterialIntegrated with Cellulose-Physical Properties. MICROMACHINES 2023; 15:82. [PMID: 38258201 PMCID: PMC10819598 DOI: 10.3390/mi15010082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/09/2023] [Revised: 12/27/2023] [Accepted: 12/28/2023] [Indexed: 01/24/2024]
Abstract
This review paper provides an in-depth analysis of recent advancements in integrating two-dimensional (2D) materials with cellulose to enhance biosensing technology. The incorporation of 2D materials such as graphene and transition metal dichalcogenides, along with nanocellulose, improves the sensitivity, stability, and flexibility of biosensors. Practical applications of these advanced biosensors are explored in fields like medical diagnostics and environmental monitoring. This innovative approach is driving research opportunities and expanding the possibilities for diverse applications in this rapidly evolving field.
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Affiliation(s)
- Ghazaleh Ramezani
- Department of Mechanical, Industrial, and Aerospace Engineering, Concordia University, Montreal, QC H3G 1M8, Canada;
| | - Ion Stiharu
- Department of Mechanical, Industrial, and Aerospace Engineering, Concordia University, Montreal, QC H3G 1M8, Canada;
| | - Theo G. M. van de Ven
- Department of Chemistry, McGill University, 801 Sherbrooke St. West, Montreal, QC H3A 0B8, Canada;
| | - Vahe Nerguizian
- Department of Electrical Engineering, École de Technologie Supérieure, 1100 Notre Dame West, Montreal, QC H3C 1K3, Canada;
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11
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Zhang Y, Sun C, Duan Y, Cheng S, Hu W. Carbon dots-functionalized extended gate organic field effect transistor-based biosensors for low abundance proteins. NANOSCALE 2023; 15:16458-16465. [PMID: 37791597 DOI: 10.1039/d3nr03405d] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/05/2023]
Abstract
Organic field effect transistors have emerged as promising platforms for biosensing applications. However, the challenge lies in optimizing functionalization strategies for the sensing interface, enabling the simultaneous detection of low abundance proteins while maintaining device performance. Here, we designed a carbon dots-functionalized extended gate organic field effect transistor. Leveraging the advantages of facile synthesis, tunable modification, small particle size, and cost-effectiveness of carbon dots, we implemented their integration onto the electrode surface. Through harnessing the covalent interactions of functional groups on the surface of carbon dots, we achieved effective immobilization of low abundance proteins without compromising device performance. Consequently, this biosensor exhibits a remarkably low limit of detection of 2.7 pg mL-1 and demonstrates high selectivity for the carcinoembryonic antigen. These findings highlight the superior capabilities of carbon dots in enhancing biosensor performance and emphasize their potential for early cancer detection.
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Affiliation(s)
- Yanmin Zhang
- Department of Chemistry, Tianjin Key Laboratory of Molecular Optoelectronic Sciences School of Science, Tianjin University, Tianjin 300072, China
| | - Chenfang Sun
- Tianjin Key Laboratory of Drug Targeting and Bioimaging, Life and Health Intelligent Research Insitute, Tianjin University of Technology, Tianjin 300384, China
| | - Yuchen Duan
- Department of Chemistry, Tianjin Key Laboratory of Molecular Optoelectronic Sciences School of Science, Tianjin University, Tianjin 300072, China
| | - Shanshan Cheng
- Department of Chemistry, Tianjin Key Laboratory of Molecular Optoelectronic Sciences School of Science, Tianjin University, Tianjin 300072, China
| | - Wenping Hu
- Department of Chemistry, Tianjin Key Laboratory of Molecular Optoelectronic Sciences School of Science, Tianjin University, Tianjin 300072, China
- Joint School of National University of Singapore and Tianjin University, International Campus of Tianjin University, Binhai New City, Fuzhou 350207, China
- Beijing National Laboratory for Molecular Science, Key Laboratory of Organic Solids, Institution of Chemistry, Chinese Academy of Sciences, Beijing 100190, China
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12
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Choi HK, Choi JH, Yoon J. An Updated Review on Electrochemical Nanobiosensors for Neurotransmitter Detection. BIOSENSORS 2023; 13:892. [PMID: 37754127 PMCID: PMC10526534 DOI: 10.3390/bios13090892] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Revised: 09/14/2023] [Accepted: 09/18/2023] [Indexed: 09/28/2023]
Abstract
Neurotransmitters are chemical compounds released by nerve cells, including neurons, astrocytes, and oligodendrocytes, that play an essential role in the transmission of signals in living organisms, particularly in the central nervous system, and they also perform roles in realizing the function and maintaining the state of each organ in the body. The dysregulation of neurotransmitters can cause neurological disorders. This highlights the significance of precise neurotransmitter monitoring to allow early diagnosis and treatment. This review provides a complete multidisciplinary examination of electrochemical biosensors integrating nanomaterials and nanotechnologies in order to achieve the accurate detection and monitoring of neurotransmitters. We introduce extensively researched neurotransmitters and their respective functions in biological beings. Subsequently, electrochemical biosensors are classified based on methodologies employed for direct detection, encompassing the recently documented cell-based electrochemical monitoring systems. These methods involve the detection of neurotransmitters in neuronal cells in vitro, the identification of neurotransmitters emitted by stem cells, and the in vivo monitoring of neurotransmitters. The incorporation of nanomaterials and nanotechnologies into electrochemical biosensors has the potential to assist in the timely detection and management of neurological disorders. This study provides significant insights for researchers and clinicians regarding precise neurotransmitter monitoring and its implications regarding numerous biological applications.
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Affiliation(s)
- Hye Kyu Choi
- Department of Chemistry and Chemical Biology, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA;
| | - Jin-Ha Choi
- School of Chemical Engineering, Clean Energy Research Center, Jeonbuk National University, Jeonju 54896, Republic of Korea
| | - Jinho Yoon
- Department of Biomedical-Chemical Engineering, The Catholic University of Korea, Bucheon 14662, Republic of Korea
- Department of Biotechnology, The Catholic University of Korea, Bucheon 14662, Republic of Korea
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Meškinis Š, Gudaitis R, Vasiliauskas A, Guobienė A, Jankauskas Š, Stankevič V, Keršulis S, Stirkė A, Andriukonis E, Melo W, Vertelis V, Žurauskienė N. Biosensor Based on Graphene Directly Grown by MW-PECVD for Detection of COVID-19 Spike (S) Protein and Its Entry Receptor ACE2. NANOMATERIALS (BASEL, SWITZERLAND) 2023; 13:2373. [PMID: 37630958 PMCID: PMC10458353 DOI: 10.3390/nano13162373] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Revised: 08/09/2023] [Accepted: 08/16/2023] [Indexed: 08/27/2023]
Abstract
Biosensors based on graphene field-effect transistors (G-FET) for detecting COVID-19 spike S protein and its receptor ACE2 were reported. The graphene, directly synthesized on SiO2/Si substrate by microwave plasma-enhanced chemical vapor deposition (MW-PECVD), was used for FET biosensor fabrication. The commercial graphene, CVD-grown on a copper substrate and subsequently transferred onto a glass substrate, was applied for comparison purposes. The graphene structure and surface morphology were studied by Raman scattering spectroscopy and atomic force microscope. Graphene surfaces were functionalized by an aromatic molecule PBASE (1-pyrenebutanoic acid succinimidyl ester), and subsequent immobilization of the receptor angiotensin-converting enzyme 2 (ACE2) was performed. A microfluidic system was developed, and transfer curves of liquid-gated FET were measured after each graphene surface modification procedure to investigate ACE2 immobilization by varying its concentration and subsequent spike S protein detection. The directly synthesized graphene FET sensitivity to the receptor ACE2, evaluated in terms of the Dirac voltage shift, exceeded the sensitivity of the transferred commercial graphene-based FET. The concentration of the spike S protein was detected in the range of 10 ag/mL up to 10 μg/mL by using a developed microfluidic system and measuring the transfer characteristics of the liquid-gated G-FETs. It was found that the shift of the Dirac voltage depends on the spike S concentration and was 27 mV with saturation at 10 pg/mL for directly synthesized G-FET biosensor, while for transferred G-FET, the maximal shift of 70 mV was obtained at 10 μg/mL with a tendency of saturation at 10 ng/mL. The detection limit as low as 10 ag/mL was achieved for both G-FETs. The sensitivity of the biosensors at spike S concentration of 10 pg/mL measured as relative current change at a constant gate voltage corresponding to the highest transconductance of the G-FETs was found at 5.6% and 8.8% for directly synthesized and transferred graphene biosensors, respectively. Thus, MW-PECVD-synthesized graphene-based biosensor demonstrating high sensitivity and low detection limit has excellent potential for applications in COVID-19 diagnostics.
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Affiliation(s)
- Šarunas Meškinis
- Institute of Materials Science, Kaunas University of Technology, K. Baršausko St. 59, LT-51423 Kaunas, Lithuania; (R.G.); (A.V.); (A.G.); (Š.J.)
| | - Rimantas Gudaitis
- Institute of Materials Science, Kaunas University of Technology, K. Baršausko St. 59, LT-51423 Kaunas, Lithuania; (R.G.); (A.V.); (A.G.); (Š.J.)
| | - Andrius Vasiliauskas
- Institute of Materials Science, Kaunas University of Technology, K. Baršausko St. 59, LT-51423 Kaunas, Lithuania; (R.G.); (A.V.); (A.G.); (Š.J.)
| | - Asta Guobienė
- Institute of Materials Science, Kaunas University of Technology, K. Baršausko St. 59, LT-51423 Kaunas, Lithuania; (R.G.); (A.V.); (A.G.); (Š.J.)
| | - Šarūnas Jankauskas
- Institute of Materials Science, Kaunas University of Technology, K. Baršausko St. 59, LT-51423 Kaunas, Lithuania; (R.G.); (A.V.); (A.G.); (Š.J.)
| | - Voitech Stankevič
- Department of Functional Materials and Electronics, Center for Physical Sciences and Technology, Saulėtekio Ave. 3, LT-10257 Vilnius, Lithuania; (V.S.); (S.K.); (A.S.); (E.A.); (W.M.); (V.V.); (N.Ž.)
| | - Skirmantas Keršulis
- Department of Functional Materials and Electronics, Center for Physical Sciences and Technology, Saulėtekio Ave. 3, LT-10257 Vilnius, Lithuania; (V.S.); (S.K.); (A.S.); (E.A.); (W.M.); (V.V.); (N.Ž.)
| | - Arūnas Stirkė
- Department of Functional Materials and Electronics, Center for Physical Sciences and Technology, Saulėtekio Ave. 3, LT-10257 Vilnius, Lithuania; (V.S.); (S.K.); (A.S.); (E.A.); (W.M.); (V.V.); (N.Ž.)
| | - Eivydas Andriukonis
- Department of Functional Materials and Electronics, Center for Physical Sciences and Technology, Saulėtekio Ave. 3, LT-10257 Vilnius, Lithuania; (V.S.); (S.K.); (A.S.); (E.A.); (W.M.); (V.V.); (N.Ž.)
| | - Wanessa Melo
- Department of Functional Materials and Electronics, Center for Physical Sciences and Technology, Saulėtekio Ave. 3, LT-10257 Vilnius, Lithuania; (V.S.); (S.K.); (A.S.); (E.A.); (W.M.); (V.V.); (N.Ž.)
| | - Vilius Vertelis
- Department of Functional Materials and Electronics, Center for Physical Sciences and Technology, Saulėtekio Ave. 3, LT-10257 Vilnius, Lithuania; (V.S.); (S.K.); (A.S.); (E.A.); (W.M.); (V.V.); (N.Ž.)
| | - Nerija Žurauskienė
- Department of Functional Materials and Electronics, Center for Physical Sciences and Technology, Saulėtekio Ave. 3, LT-10257 Vilnius, Lithuania; (V.S.); (S.K.); (A.S.); (E.A.); (W.M.); (V.V.); (N.Ž.)
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Zhang P, Wang R. Label-Free Biosensor. BIOSENSORS 2023; 13:bios13050556. [PMID: 37232916 DOI: 10.3390/bios13050556] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Accepted: 05/16/2023] [Indexed: 05/27/2023]
Abstract
Label-free biosensors have become an indispensable tool for analyzing intrinsic molecular properties, such as mass, and quantifying molecular interactions without interference from labels, which is critical for the screening of drugs, detecting disease biomarkers, and understanding biological processes at the molecular level [...].
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Affiliation(s)
- Pengfei Zhang
- Beijing National Laboratory for Molecular Sciences, CAS Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China
| | - Rui Wang
- State Key Laboratory of Digital Medical Engineering, School of Biological Science & Medical Engineering, Southeast University, Nanjing 210096, China
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