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Mehta D, Gupta D, Kafle A, Kaur S, Nagaiah TC. Advances and Challenges in Nanomaterial-Based Electrochemical Immunosensors for Small Cell Lung Cancer Biomarker Neuron-Specific Enolase. ACS OMEGA 2024; 9:33-51. [PMID: 38222505 PMCID: PMC10785636 DOI: 10.1021/acsomega.3c06388] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/27/2023] [Revised: 11/05/2023] [Accepted: 11/30/2023] [Indexed: 01/16/2024]
Abstract
Early and rapid detection of neuron-specific enolase (NSE) is highly significant, as it is putative biomarker for small-cell lung cancer as well as COVID-19. Electrochemical techniques have attracted substantial attention for the early detection of cancer biomarkers due to the important properties of simplicity, high sensitivity, specificity, low cost, and point-of-care detection. This work reviews the clinically relevant labeled and label-free electrochemical immunosensors developed so far for the analysis of NSE. The prevailing role of nanostructured materials as electrode matrices is thoroughly discussed. Subsequently, the key performances of various immunoassays are critically evaluated in terms of limit of detection, linear ranges, and incubation time for clinical translation. Electrochemical techniques coupled with screen-printed electrodes developing market level commercialization of NSE sensors is also discussed. Finally, the review concludes with the current challenges associated with available methods and provides a future outlook toward commercialization opportunities for easy detection of NSE.
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Affiliation(s)
- Daisy Mehta
- Department of Chemistry, Indian
Institute of Technology Ropar, Rupnagar, Punjab 140001, India
| | - Divyani Gupta
- Department of Chemistry, Indian
Institute of Technology Ropar, Rupnagar, Punjab 140001, India
| | - Alankar Kafle
- Department of Chemistry, Indian
Institute of Technology Ropar, Rupnagar, Punjab 140001, India
| | - Sukhjot Kaur
- Department of Chemistry, Indian
Institute of Technology Ropar, Rupnagar, Punjab 140001, India
| | - Tharamani C. Nagaiah
- Department of Chemistry, Indian
Institute of Technology Ropar, Rupnagar, Punjab 140001, India
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Habli Z, Kobeissy F, Khraiche ML. Advances in point-of-care platforms for traumatic brain injury: recent developments in diagnostics. Rev Neurosci 2022; 33:327-345. [PMID: 35170265 DOI: 10.1515/revneuro-2021-0103] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2021] [Accepted: 01/17/2022] [Indexed: 11/15/2022]
Abstract
Traumatic brain injury (TBI) is a major cause of mortality and morbidity, affecting 2 million people annually in the US alone, with direct and indirect costs of $76.3 billion per year. TBI is a progressive disease with no FDA-approved drug for treating patients. Early, accurate and rapid diagnosis can have significant implications for successful triaging and intervention. Unfortunately, current clinical tests for TBI rely on CT scans and MRIs, both of which are expensive, time-consuming, and not accessible to everyone. Recent evidence of biofluid-based biomarkers being released right after a TBI incident has ignited interest in developing point-of-care (POC) platforms for early and on-site TBI diagnosis. These efforts face many challenges to accurate, sensitive, and specific diagnosis and monitoring of TBI. This review includes a deep dive into the latest advances in chemical, mechanical, electrical, and optical sensing systems that hold promise for TBI-POC diagnostic testing platforms. It also focuses on the performance of these proposed biosensors compared to biofluid-based orthodox diagnostic techniques in terms of sensitivity, specificity, and limits of detection. Finally, it examines commercialized TBI-POCs present in the market, the challenges associated with them, and the future directions and prospects of these technologies and the field.
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Affiliation(s)
- Zeina Habli
- Neural Engineering and Nanobiosensors Group, Biomedical Engineering Program, Maroun Semaan Faculty of Engineering and Architecture, American University of Beirut, Beirut 1107 2020, Lebanon
| | - Firas Kobeissy
- Department of Biochemistry and Molecular Genetics, Faculty of Medicine, American University of Beirut, Beirut 1107 2020, Lebanon
| | - Massoud L Khraiche
- Neural Engineering and Nanobiosensors Group, Biomedical Engineering Program, Maroun Semaan Faculty of Engineering and Architecture, American University of Beirut, Beirut 1107 2020, Lebanon
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3
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Yu X, Li X, Zhang S, Jia Y, Xu Z, Li X, Chen Z, Li Y. Ultrasensitive electrochemical detection of neuron-specific enolase based on spiny core-shell Au/Cu xO@CeO 2 nanocubes. Bioelectrochemistry 2020; 138:107693. [PMID: 33291001 DOI: 10.1016/j.bioelechem.2020.107693] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2020] [Revised: 10/27/2020] [Accepted: 11/01/2020] [Indexed: 02/07/2023]
Abstract
As a specific biomarker, neuron-specific enolase (NSE) is an essential clinical indicator for diagnosing small cell lung cancer. In this paper, a sandwich-type electrochemical immunosensor was designed for the quantitative detection of NSE. AuPt nanoblock spherical nanoarchitectonics (AuPt NSNs), a bimetallic nanoparticle with a rugged morphology, were utilized as the substrate, which could enhance the electronic conduction and increase the immobilization capacity of the primary antibody (Ab1). Moreover, through a simple hydrothermal method, Au/CuxO@CeO2 was prepared as a spiny core-shell nanocube with cerium dioxide (CeO2) and gold nanoparticles (Au NPs) loading. The combination of Cu2O, CuO, and CeO2 showed favorable catalytic activity toward hydrogen peroxide (H2O2). Furthermore, the deposition of Au NPs on the spiny surface structure enhanced the specific surface area and biocompatibility, thereby rendering it more effective for loading the second antibody (Ab2). As the label material, the Au/CuxO@CeO2 achieved signal amplification and sensitive detection with the immunosensor. Under optimal conditions, the designed immunosensor possessed a broad linear range of 50 fg mL-1 to 100 ng mL-1 and a limit of detection of 31.3 fg mL-1, along with satisfactory performance in sensitivity, selectivity, and stability.
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Affiliation(s)
- Xiaodong Yu
- School of Chemical Engineering, Shandong University of Technology, Zibo 255049, PR China
| | - Xinjin Li
- School of Chemical Engineering, Shandong University of Technology, Zibo 255049, PR China.
| | - Shuan Zhang
- School of Chemical Engineering, Shandong University of Technology, Zibo 255049, PR China
| | - Yilei Jia
- School of Chemical Engineering, Shandong University of Technology, Zibo 255049, PR China
| | - Zhen Xu
- School of Chemical Engineering, Shandong University of Technology, Zibo 255049, PR China
| | - Xiangye Li
- School of Chemical Engineering, Shandong University of Technology, Zibo 255049, PR China
| | - Zhiwei Chen
- School of Chemical Engineering, Shandong University of Technology, Zibo 255049, PR China
| | - Yueyun Li
- School of Chemical Engineering, Shandong University of Technology, Zibo 255049, PR China.
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Kalkal A, Pradhan R, Kadian S, Manik G, Packirisamy G. Biofunctionalized Graphene Quantum Dots Based Fluorescent Biosensor toward Efficient Detection of Small Cell Lung Cancer. ACS APPLIED BIO MATERIALS 2020; 3:4922-4932. [DOI: 10.1021/acsabm.0c00427] [Citation(s) in RCA: 60] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Affiliation(s)
- Ashish Kalkal
- Department of Biotechnology, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand 247667, India
| | - Rangadhar Pradhan
- Centre for Nanotechnology, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand 247667, India
| | - Sachin Kadian
- Department of Polymer and Process Engineering, Indian Institute of Technology Roorkee, Roorkee, Uttrakhand 247667, India
| | - Gaurav Manik
- Department of Polymer and Process Engineering, Indian Institute of Technology Roorkee, Roorkee, Uttrakhand 247667, India
| | - Gopinath Packirisamy
- Department of Biotechnology, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand 247667, India
- Centre for Nanotechnology, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand 247667, India
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5
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Khanmohammadi A, Aghaie A, Vahedi E, Qazvini A, Ghanei M, Afkhami A, Hajian A, Bagheri H. Electrochemical biosensors for the detection of lung cancer biomarkers: A review. Talanta 2019; 206:120251. [PMID: 31514848 DOI: 10.1016/j.talanta.2019.120251] [Citation(s) in RCA: 177] [Impact Index Per Article: 35.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2019] [Revised: 08/08/2019] [Accepted: 08/09/2019] [Indexed: 01/05/2023]
Abstract
Cancer is one of the most widespread challenges and important diseases, which has the highest mortality rate. Lung cancer is the most common type of cancer, so that about 25% of all cancer deaths are related to the lung cancer. The lung cancer is classified as two different types with different treatment methodology: the small cell lung carcinoma and nonsmall cell lung carcinoma are two categories of the lung cancer. Since the lung cancer is often in the latent period in its early stages, therefore, early diagnosis of lung cancer has many challenges. Hence, there is a need for sensitive and reliable tools for preclinical diagnosis of lung cancer. Therefore, many detection methods have been employed for early detection of lung cancer. As lung cancer tumors growth in the body, the cancerous cells release numerous DNA, proteins, and metabolites as special biomarkers of the lung cancer. The levels of these biomarkers show the stages of the lung cancer. Therefore, detection of the biomarkers can be used for screening and clinical diagnosis of the lung cancer. There are numerous biomarkers for the lung cancer such as EGFR, CEA, CYFRA 21-1, ENO1, NSE, CA 19-9, CA 125 and VEGF. Nowadays, electrochemical methods are very attractive and useful in the lung cancer detections. So, in this paper, the recent advances and improvements (2010-2018) in the electrochemical detection of the lung cancer biomarkers have been reviewed.
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Affiliation(s)
- Akbar Khanmohammadi
- Chemical Injuries Research Center, Systems Biology and Poisonings Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran
| | - Ali Aghaie
- Chemical Injuries Research Center, Systems Biology and Poisonings Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran
| | - Ensieh Vahedi
- Chemical Injuries Research Center, Systems Biology and Poisonings Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran
| | - Ali Qazvini
- Chemical Injuries Research Center, Systems Biology and Poisonings Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran
| | - Mostafa Ghanei
- Chemical Injuries Research Center, Systems Biology and Poisonings Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran
| | - Abbas Afkhami
- Faculty of Chemistry, Bu-Ali Sina University, Hamedan, Iran
| | - Ali Hajian
- Institute of Sensor and Actuator Systems, TU Wien, Vienna, Austria
| | - Hasan Bagheri
- Chemical Injuries Research Center, Systems Biology and Poisonings Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran.
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Roointan A, Ahmad Mir T, Ibrahim Wani S, Mati-Ur-Rehman, Hussain KK, Ahmed B, Abrahim S, Savardashtaki A, Gandomani G, Gandomani M, Chinnappan R, Akhtar MH. Early detection of lung cancer biomarkers through biosensor technology: A review. J Pharm Biomed Anal 2018; 164:93-103. [PMID: 30366148 DOI: 10.1016/j.jpba.2018.10.017] [Citation(s) in RCA: 87] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2018] [Revised: 10/05/2018] [Accepted: 10/07/2018] [Indexed: 02/07/2023]
Abstract
Lung cancer is undoubtedly one of the most serious health issues of the 21 st century. It is the second leading cause of cancer-related deaths in both men and women worldwide, accounting for about 1.5 million deaths annually. Despite advances in the treatment of lung cancer with new pharmaceutical products and technological improvements, morbidity and mortality rates remains a significant challenge for the cancer biologists and oncologists. The vast majority of lung cancer patients present with advanced-stage of pathological process that ultimately leads to poor prognosis and a five-year survival rate less than 20%. Early and accurate screening and analysis using cost-effective means are urgently needed to effectively diagnose the disease, improve the survival rate or to reduce mortality and morbidity associated with lung cancer patients. Thus, the only hope for early recognition of risk factors and timely diagnosis and treatment of lung cancer is biosensors technology. Novel biosensing based diagnostics approaches for predicting metastatic risks are likely to have significant therapeutic and clinical impact in the near future. This article systematically provides a brief overview of various biosensing platforms for identification of lung cancer disease biomarkers, with a specific focus on recent advancements in electrochemical and optical biosensors, analytical performances of different biosensors, challenges and further research opportunities for routine clinical analysis.
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Affiliation(s)
- Amir Roointan
- Department of Medical Biotechnology, School of Advanced Medical Sciences and Technologies, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Tanveer Ahmad Mir
- Division of Biomedical System Engineering, Graduate School of Science and Engineering for Education, University of Toyama, Toyama, Japan; Department of Chemistry and Institute of BioPhysio Sensor Technology (IBST), Pusan National University, Busan, 46241, South Korea; Department of Chemistry, Alfaisal University, Al Zahrawi Street, Al Maather, Al Takhassusi Road, Riyadh, 11533, Saudi Arabia; Toyama Nanotechnology Manufacturing Cluster, Toyama, Japan.
| | - Shadil Ibrahim Wani
- Department of Immunology and Molecular Medicine,Sher-i-Kashmir Institute of Medical Sciences, Srinagar, India
| | - Mati-Ur-Rehman
- Department of Radiological Sciences, Graduate school of Medicine and Pharmaceutical Sciences, University of Toyama, Japan
| | - Khalil Khadim Hussain
- Department of Chemistry and Institute of BioPhysio Sensor Technology (IBST), Pusan National University, Busan, 46241, South Korea; Department of pharmacy, University of central Punjab 1-Khayaban-e-Jinnah, Johar Town, Lahore, Pakistan
| | - Bilal Ahmed
- Department of Intellectual Information Engineering, Graduate School of Science and Engineering for Education, University of Toyama, Toyama, Japan
| | - Shugufta Abrahim
- Department of Intellectual Information Engineering, Graduate School of Science and Engineering for Education, University of Toyama, Toyama, Japan
| | - Amir Savardashtaki
- Department of Environmental Sciences, Cyprus International University, Nicosia, Cyprus
| | - Ghazaal Gandomani
- Department of Bioengineering, Biotechnology Research Center, Cyprus International University, Nicosia, Cyprus
| | - Molood Gandomani
- Department of pharmacy, University of central Punjab 1-Khayaban-e-Jinnah, Johar Town, Lahore, Pakistan
| | - Raja Chinnappan
- Department of Chemistry, Alfaisal University, Al Zahrawi Street, Al Maather, Al Takhassusi Road, Riyadh, 11533, Saudi Arabia
| | - Mahmood H Akhtar
- Department of Chemistry and Institute of BioPhysio Sensor Technology (IBST), Pusan National University, Busan, 46241, South Korea
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Freitas M, Nouws HPA, Delerue-Matos C. Electrochemical Biosensing in Cancer Diagnostics and Follow-up. ELECTROANAL 2018. [DOI: 10.1002/elan.201800193] [Citation(s) in RCA: 39] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Affiliation(s)
- Maria Freitas
- REQUIMTE/LAQV, Instituto Superior de Engenharia do Porto; Politécnico do Porto, Rua Dr. António Bernardino de Almeida; 4200-072 Porto Portugal
| | - Henri P. A. Nouws
- REQUIMTE/LAQV, Instituto Superior de Engenharia do Porto; Politécnico do Porto, Rua Dr. António Bernardino de Almeida; 4200-072 Porto Portugal
| | - Cristina Delerue-Matos
- REQUIMTE/LAQV, Instituto Superior de Engenharia do Porto; Politécnico do Porto, Rua Dr. António Bernardino de Almeida; 4200-072 Porto Portugal
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8
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Wei Z, Zhang J, Zhang A, Wang Y, Cai X. Electrochemical Detecting Lung Cancer-Associated Antigen Based on Graphene-Gold Nanocomposite. Molecules 2017; 22:E392. [PMID: 28257099 PMCID: PMC6155348 DOI: 10.3390/molecules22030392] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2017] [Revised: 02/21/2017] [Accepted: 02/28/2017] [Indexed: 11/16/2022] Open
Abstract
Using a Au nanoparticle/reduced graphene oxide composite (AuNP-RGO), a signal-enhanced electrochemical immunosensor without label was created to detect neuron-specific enolase (NSE). Furthermore, an environmentally-friendly method was developed to prepare AuNP-RGO by employing chitosan (CS), which served as reducing and stabilizing agent. We showed that the sensitivity of the immunosensor designed in this report was remarkably enhanced because of the numerous active sites in the sensor provided by the AuNP-RGO nanostructure. For the quantification of NSE, the immunosensor exhibited a positive linear relationship with the concentration in the range of 0.1 to 2000 ng/mL, where the limit of the detection was 0.05 ng/mL.
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Affiliation(s)
- Zheng Wei
- Department of Oncology, Henan Academy institute of Traditional Chinese Medicine, Zhengzhou 450004, Henan, China.
| | - Junping Zhang
- Department of Oncology, Henan Academy institute of Traditional Chinese Medicine, Zhengzhou 450004, Henan, China.
| | - Aihua Zhang
- Department of Oncology, Henan Academy institute of Traditional Chinese Medicine, Zhengzhou 450004, Henan, China.
| | - Yanchun Wang
- Department of Traditional Chinese Medicine, Henan Province People's Hospital, Zhengzhou 450004, Henan, China.
| | - Xiaoping Cai
- Department of Oncology, Henan Academy institute of Traditional Chinese Medicine, Zhengzhou 450004, Henan, China.
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9
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Peng KF, Zhao HW, Wu XF. Signal-enhanced electrochemical immunosensor for CD36 based on cascade catalysis of a GOx labeled Prussian blue functionalized Ceria nanohybrid. RSC Adv 2015. [DOI: 10.1039/c4ra10413g] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
A novel electrochemical immunosensor was constructed for human scavenger receptor B type CD36 with glucose oxidase labeled Prussian blue nanoparticles functionalized ceria nanoparticles as the signal enhancer.
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Affiliation(s)
- Kan-Fu Peng
- Department of Kidney
- Southwest Hospital
- Third Military Medical University
- Chongqing
- PR China
| | - Hong-Wen Zhao
- Department of Kidney
- Southwest Hospital
- Third Military Medical University
- Chongqing
- PR China
| | - Xiong-Fei Wu
- Department of Kidney
- Southwest Hospital
- Third Military Medical University
- Chongqing
- PR China
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Salazar P, Martín M, O’Neill R, Roche R, González-Mora J. Improvement and characterization of surfactant-modified Prussian blue screen-printed carbon electrodes for selective H2O2 detection at low applied potentials. J Electroanal Chem (Lausanne) 2012. [DOI: 10.1016/j.jelechem.2012.04.005] [Citation(s) in RCA: 42] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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11
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Arya SK, Bhansali S. Lung Cancer and Its Early Detection Using Biomarker-Based Biosensors. Chem Rev 2011; 111:6783-809. [DOI: 10.1021/cr100420s] [Citation(s) in RCA: 196] [Impact Index Per Article: 15.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Affiliation(s)
- Sunil K. Arya
- Bio-MEMS and Microsystem Lab, Department of Electrical Engineering, University of South Florida, 4202 East Fowler Avenue, ENB 118, Tampa, Florida 33620, United States
| | - Shekhar Bhansali
- Bio-MEMS and Microsystem Lab, Department of Electrical Engineering, University of South Florida, 4202 East Fowler Avenue, ENB 118, Tampa, Florida 33620, United States
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12
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Dai Y, Li H, Wu D, Li R, Zhao Y, Liu B, Cai Y, Yang M, Du B, Wei Q. A Facile Electrochemical Immunosensor with Mesoporous Alumina for Detection of Carcinoembryonic Antigen. ELECTROANAL 2011. [DOI: 10.1002/elan.201000757] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
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