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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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Vatankhahan H, Esteki F, Jabalameli MA, Kiani P, Ehtiati S, Movahedpour A, Vakili O, Khatami SH. Electrochemical biosensors for early diagnosis of glioblastoma. Clin Chim Acta 2024; 557:117878. [PMID: 38493942 DOI: 10.1016/j.cca.2024.117878] [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: 02/25/2024] [Revised: 03/12/2024] [Accepted: 03/14/2024] [Indexed: 03/19/2024]
Abstract
Glioblastoma (GBM) is a highly aggressive and life-threatening neurological malignancy of predominant astrocyte origin. This type of neoplasm can develop in either the brain or the spine and is also known as glioblastoma multiforme. Although current diagnostic methods such as magnetic resonance imaging (MRI) and positron emission tomography (PET) facilitate tumor location, these approaches are unable to assess disease severity. Furthermore, interpretation of imaging studies requires significant expertise which can have substantial inter-observer variability, thus challenging diagnosis and potentially delaying treatment. In contrast, biosensing systems offer a promising alternative to these traditional approaches. These technologies can continuously monitor specific molecules, providing valuable real-time data on treatment response, and could significantly improve patient outcomes. Among various types of biosensors, electrochemical systems are preferred over other types, as they do not require expensive or complex equipment or procedures and can be made with readily available materials and methods. Moreover, electrochemical biosensors can detect very small amounts of analytes with high accuracy and specificity by using various signal amplification strategies and recognition elements. Considering the advantages of electrochemical biosensors compared to other biosensing methods, we aim to highlight the potential application(s) of these sensors for GBM theranostics. The review's innovative insights are expected to antecede the development of novel biosensors and associated diagnostic platforms, ultimately restructuring GBM detection strategies.
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Affiliation(s)
- Hamid Vatankhahan
- Department of Biochemistry and Clinical Laboratories, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Farnaz Esteki
- Department of Medical Laboratory Sciences, School of Paramedicine, Kashan University of Medical Sciences, Kashan, Iran
| | - Mohammad Amin Jabalameli
- Department of Cell and Molecular Biology, School of Biology, College of Science, University of Tehran, Tehran, Iran
| | - Pouria Kiani
- Department of Clinical Biochemistry, School of Pharmacy and Pharmaceutical Sciences, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Sajad Ehtiati
- Department of Clinical Biochemistry, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | | | - Omid Vakili
- Department of Clinical Biochemistry, School of Pharmacy and Pharmaceutical Sciences, Isfahan University of Medical Sciences, Isfahan, Iran; Autophagy Research Center, Department of Clinical Biochemistry, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.
| | - Seyyed Hossein Khatami
- Student Research Committee, Department of Clinical Biochemistry, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
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Singh S, Raucci A, Cimmino W, Cinti S. Paper-Based Analytical Devices for Cancer Liquid Biopsy. Anal Chem 2024; 96:3698-3706. [PMID: 38377543 DOI: 10.1021/acs.analchem.3c04478] [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: 02/22/2024]
Abstract
Liquid biopsies have caused a significant revolution in cancer diagnosis, and the use of point of care (PoC) platforms has the potential to bring liquid biopsy-based cancer detection closer to patients. These platforms provide rapid and on-site analysis by reducing the time between sample collection and results output. The aim of this tutorial content is to provide readers an in-depth understanding regarding the choice of the ideal sensing platform suitable for specific cancer-related biomarkers.
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Affiliation(s)
- Sima Singh
- Department of Pharmacy, University of Naples Federico II, Via D. Montesano 49, 80131 Naples, Italy
| | - Ada Raucci
- Department of Pharmacy, University of Naples Federico II, Via D. Montesano 49, 80131 Naples, Italy
| | - Wanda Cimmino
- Department of Pharmacy, University of Naples Federico II, Via D. Montesano 49, 80131 Naples, Italy
| | - Stefano Cinti
- Department of Pharmacy, University of Naples Federico II, Via D. Montesano 49, 80131 Naples, Italy
- BAT Center- Interuniversity Center for Studies on Bioinspired Agro-Environmental Technology, University of Napoli Federico II, 80055 Naples, Italy
- Bioelectronics Task Force at University of Naples Federico II, Via Cinthia 21, 80126 Naples, Italy
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Lin JC, Zhou ZY, Cheng YC, Chang IN, Lin CE, Wu CC. Solution-Induced Degradation of the Silicon Nanobelt Field-Effect Transistor Biosensors. BIOSENSORS 2024; 14:65. [PMID: 38391984 PMCID: PMC10886492 DOI: 10.3390/bios14020065] [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: 12/06/2023] [Revised: 01/22/2024] [Accepted: 01/22/2024] [Indexed: 02/24/2024]
Abstract
Field-effect transistor (FET)-based biosensors are powerful analytical tools for detecting trace-specific biomolecules in diverse sample matrices, especially in the realms of pandemics and infectious diseases. The primary concern in applying these biosensors is their stability, a factor directly impacting the accuracy and reliability of sensing over extended durations. The risk of biosensor degradation is substantial, potentially jeopardizing the sensitivity and selectivity and leading to inaccurate readings, including the possibility of false positives or negatives. This paper delves into the documented degradation of silicon nanobelt FET (NBFET) biosensors induced by buffer solutions. The results highlight a positive correlation between immersion time and the threshold voltage of NBFET devices. Secondary ion mass spectrometry analysis demonstrates a gradual increase in sodium and potassium ion concentrations within the silicon as immersion days progress. This outcome is ascribed to the nanobelt's exposure to the buffer solution during the biosensing period, enabling ion penetration from the buffer into the silicon. This study emphasizes the critical need to address buffer-solution-induced degradation to ensure the long-term stability and performance of FET-based biosensors in practical applications.
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Affiliation(s)
- Jung-Chih Lin
- Department of Integrated Chinese and Western Medicine, Chung Shan Medical University Hospital, and School of Medicine, Chung Shan Medical University, Taichung 40201, Taiwan;
| | - Zhao-Yu Zhou
- Department of Electronic Engineering, National Chin-Yi University of Technology, Taichung 411030, Taiwan; (Z.-Y.Z.); (Y.-C.C.)
| | - Yi-Ching Cheng
- Department of Electronic Engineering, National Chin-Yi University of Technology, Taichung 411030, Taiwan; (Z.-Y.Z.); (Y.-C.C.)
| | - I-Nan Chang
- Department of Electronic Engineering, Feng Chia University, Taichung 40724, Taiwan;
| | - Chu-En Lin
- Department of Electronic Engineering, National Chin-Yi University of Technology, Taichung 411030, Taiwan; (Z.-Y.Z.); (Y.-C.C.)
| | - Chi-Chang Wu
- Department of Electronic Engineering, National Chin-Yi University of Technology, Taichung 411030, Taiwan; (Z.-Y.Z.); (Y.-C.C.)
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