1
|
Sang L, Liang H, Zhao B, Shi R, Jian A, Sang S. A Silicon-Based ROTE Sensor for High-Q and Label-Free Carcinoembryonic Antigen Detection. MICROMACHINES 2024; 15:580. [PMID: 38793154 PMCID: PMC11123482 DOI: 10.3390/mi15050580] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/17/2024] [Revised: 04/24/2024] [Accepted: 04/26/2024] [Indexed: 05/26/2024]
Abstract
This paper presents a biosensor based on the resonant optical tunneling effect (ROTE) for detecting a carcinoembryonic antigen (CEA). In this design, sensing is accomplished through the interaction of the evanescent wave with the CEA immobilized on the sensor's surface. When CEA binds to the anti-CEA, it alters the effective refractive index (RI) on the sensor's surface, leading to shifts in wavelength. This shift can be identified through the cascade coupling of the FP cavity and ROTE cavity in the same mode. Experimental results further show that the shift in resonance wavelength increases with the concentration of CEA. The biosensor responded linearly to CEA concentrations ranging from 1 to 5 ng/mL with a limit of detection (LOD) of 0.5 ng/mL and a total Q factor of 9500. This research introduces a new avenue for identifying biomolecules and cancer biomarkers, which are crucial for early cancer detection.
Collapse
Affiliation(s)
- Luxiao Sang
- Shanxi Key Laboratory of Micro-Nano Sensors & Artificial Intelligence Perception, College of Electronic Information and Optical Engineering, Taiyuan University of Technology, Taiyuan 030024, China
- Key Laboratory of Advanced Transducers and Intelligent Control System, Ministry of Education, Taiyuan University of Technology, Taiyuan 030024, China
| | - Haojie Liang
- Shanxi Key Laboratory of Micro-Nano Sensors & Artificial Intelligence Perception, College of Electronic Information and Optical Engineering, Taiyuan University of Technology, Taiyuan 030024, China
- Key Laboratory of Advanced Transducers and Intelligent Control System, Ministry of Education, Taiyuan University of Technology, Taiyuan 030024, China
- Shanxi Research Institute of 6D Artificial Intelligence Biomedical Science, Taiyuan 030031, China
| | - Biao Zhao
- Shanxi Key Laboratory of Micro-Nano Sensors & Artificial Intelligence Perception, College of Electronic Information and Optical Engineering, Taiyuan University of Technology, Taiyuan 030024, China
- Key Laboratory of Advanced Transducers and Intelligent Control System, Ministry of Education, Taiyuan University of Technology, Taiyuan 030024, China
| | - Runze Shi
- Shanxi Key Laboratory of Micro-Nano Sensors & Artificial Intelligence Perception, College of Electronic Information and Optical Engineering, Taiyuan University of Technology, Taiyuan 030024, China
- Key Laboratory of Advanced Transducers and Intelligent Control System, Ministry of Education, Taiyuan University of Technology, Taiyuan 030024, China
| | - Aoqun Jian
- Shanxi Key Laboratory of Micro-Nano Sensors & Artificial Intelligence Perception, College of Electronic Information and Optical Engineering, Taiyuan University of Technology, Taiyuan 030024, China
- Key Laboratory of Advanced Transducers and Intelligent Control System, Ministry of Education, Taiyuan University of Technology, Taiyuan 030024, China
| | - Shengbo Sang
- Shanxi Key Laboratory of Micro-Nano Sensors & Artificial Intelligence Perception, College of Electronic Information and Optical Engineering, Taiyuan University of Technology, Taiyuan 030024, China
- Key Laboratory of Advanced Transducers and Intelligent Control System, Ministry of Education, Taiyuan University of Technology, Taiyuan 030024, China
| |
Collapse
|
2
|
Shi SS, Li XJ, Ma RN, Shang L, Zhang W, Zhao HQ, Jia LP, Wang HS. A smartphone-based electrochemical POCT for CEA based on signal amplification of Zr 6MOFs. LAB ON A CHIP 2024; 24:367-374. [PMID: 38126214 DOI: 10.1039/d3lc00748k] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/23/2023]
Abstract
Carcinoembryonic antigen (CEA) is a biomarker of high expression in cancer cells. Highly sensitive and selective detection of CEA holds significant clinical value in the diagnosis, monitoring and efficacy evaluation of malignant tumors. In this work, a smartphone-based electrochemical point-of-care testing (POCT) platform for the detection of CEA was developed based on a Zr6MOF signal amplification strategy. Ferrocene labeled DNA strands (Fc-DNA) were immobilized on Zr6MOFs to form a Fc-DNA/Zr6MOF signal probe. Double-stranded DNA (dsDNA) formed by complementary DNA (cDNA) and CEA aptamer was assembled on a screen-printed electrode via an Au-S bond. When CEA was added, the aptamer specifically bound with CEA, resulting in the exposure of cDNA. Then, Fc-DNA/Zr6MOF signal probes were introduced on the electrode surface through hybridization between Fc-DNA and cDNA. The detection of CEA was realized by measuring the electrochemical response of Fc. The POCT device was made by connecting a modified electrode with a smartphone through a Sensit Smart USB flash disk. Due to the signal amplification of Zr6MOFs, this POCT platform exhibited high sensitivity, wide linear range, and low detection limit for CEA detection. The developed POCT platform has been used for the detection of CEA in actual human serum samples with satisfactory results.
Collapse
Affiliation(s)
- Shan-Shan Shi
- School of Chemistry and Chemical Engineering, University of Jinan, Jinan, Shandong, 250022, P. R. China.
- College of Chemistry and Chemical Engineering, Liaocheng University, Liaocheng, 252000, P. R. China.
| | - Xiao-Jian Li
- College of Chemistry and Chemical Engineering, Liaocheng University, Liaocheng, 252000, P. R. China.
| | - Rong-Na Ma
- College of Chemistry and Chemical Engineering, Liaocheng University, Liaocheng, 252000, P. R. China.
| | - Lei Shang
- College of Chemistry and Chemical Engineering, Liaocheng University, Liaocheng, 252000, P. R. China.
| | - Wei Zhang
- College of Chemistry and Chemical Engineering, Liaocheng University, Liaocheng, 252000, P. R. China.
| | - Huai-Qing Zhao
- School of Chemistry and Chemical Engineering, University of Jinan, Jinan, Shandong, 250022, P. R. China.
| | - Li-Ping Jia
- College of Chemistry and Chemical Engineering, Liaocheng University, Liaocheng, 252000, P. R. China.
| | - Huai-Sheng Wang
- College of Chemistry and Chemical Engineering, Liaocheng University, Liaocheng, 252000, P. R. China.
| |
Collapse
|
3
|
Shao P, Dong D, Huang Y, Wang Y, Pan L, Zhu Q, Wu Z, Jiang F, Wei W. Aptamer-Based Functionalized SERS Biosensor for Rapid and Ultrasensitive Detection of Gastric Cancer-Related Biomarkers. Int J Nanomedicine 2023; 18:7523-7532. [PMID: 38106450 PMCID: PMC10723598 DOI: 10.2147/ijn.s434854] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Accepted: 12/02/2023] [Indexed: 12/19/2023] Open
Abstract
Background Gastric cancer (GC) as is the second deadliest malignancy still lacks rapid, simple and economical detection and early clinical screening techniques. Surface-enhanced Raman spectroscopy (SERS) is a spectroscopic technique based on the surface plasmon resonance of precious metal nanoparticles, which can effectively detect low-abundance tumor markers. Combining SERS technology with sensors has high potential in the diagnosis and screening of GC. Methods A novel Au/Si nano-umbrella array (Au/SiNUA) was prepared as a SERS substrate and the substrate was functionalized using the corresponding tumor marker aptamers for the detection of clinical biological samples using a one-step recognition release mechanism. Optimization of aptamer and complementary chain concentrations and detection time for optimal sensor preparation. Results Au/SiNUA were tested to have good SERS enhancement activity. The proposed aptamer biosensor has good specificity and stability, with a low detection time of 18 min and a limit of detection (LOD) at the fM level, which is superior to most of the methods reported so far; and the accuracy of the clinical assay is comparable to that of the ELISA method. The expression levels of PDGF-B and thrombin in the serum of GC patients and healthy individuals can be effectively detected and differentiated. Conclusion The ultrasensitive and specific aptamer biosensor is highly feasible for the diagnosis and screening of GC and has good application prospects.
Collapse
Affiliation(s)
- Ping Shao
- Department of Spleen and Stomach Diseases, Yixing Traditional Chinese Medicine Hospital, Wuxi, 214200, People’s Republic of China
| | - Danyang Dong
- Department of Spleen and Stomach Diseases, Yixing Traditional Chinese Medicine Hospital, Wuxi, 214200, People’s Republic of China
| | - Yong Huang
- Department of General Surgery, Jiangdu People’s Hospital Affiliated to Yangzhou University, Yangzhou, 225200, People’s Republic of China
| | - Yan Wang
- Department of Spleen and Stomach Diseases, Yixing Traditional Chinese Medicine Hospital, Wuxi, 214200, People’s Republic of China
| | - Lian Pan
- Pathology Department, Yixing Traditional Chinese Medicine Hospital, Wuxi, 214200, People’s Republic of China
| | - Qunshan Zhu
- Department of General Surgery, Jiangdu People’s Hospital Affiliated to Yangzhou University, Yangzhou, 225200, People’s Republic of China
| | - Zheng Wu
- Department of General Surgery, Jiangdu People’s Hospital Affiliated to Yangzhou University, Yangzhou, 225200, People’s Republic of China
| | - Fengjuan Jiang
- Department of Gastroenterology, Jiangdu People’s Hospital Affiliated to Yangzhou University, Yangzhou, 225200, People’s Republic of China
| | - Wei Wei
- Department of General Surgery, Jiangdu People’s Hospital Affiliated to Yangzhou University, Yangzhou, 225200, People’s Republic of China
| |
Collapse
|
4
|
Chinnappan R, Mir TA, Alsalameh S, Makhzoum T, Alzhrani A, Alnajjar K, Adeeb S, Al Eman N, Ahmed Z, Shakir I, Al-Kattan K, Yaqinuddin A. Emerging Biosensing Methods to Monitor Lung Cancer Biomarkers in Biological Samples: A Comprehensive Review. Cancers (Basel) 2023; 15:3414. [PMID: 37444523 DOI: 10.3390/cancers15133414] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2023] [Revised: 06/21/2023] [Accepted: 06/22/2023] [Indexed: 07/15/2023] Open
Abstract
Lung cancer is the most commonly diagnosed of all cancers and one of the leading causes of cancer deaths among men and women worldwide, causing 1.5 million deaths every year. Despite developments in cancer treatment technologies and new pharmaceutical products, high mortality and morbidity remain major challenges for researchers. More than 75% of lung cancer patients are diagnosed in advanced stages, leading to poor prognosis. Lung cancer is a multistep process associated with genetic and epigenetic abnormalities. Rapid, accurate, precise, and reliable detection of lung cancer biomarkers in biological fluids is essential for risk assessment for a given individual and mortality reduction. Traditional diagnostic tools are not sensitive enough to detect and diagnose lung cancer in the early stages. Therefore, the development of novel bioanalytical methods for early-stage screening and diagnosis is extremely important. Recently, biosensors have gained tremendous attention as an alternative to conventional methods because of their robustness, high sensitivity, inexpensiveness, and easy handling and deployment in point-of-care testing. This review provides an overview of the conventional methods currently used for lung cancer screening, classification, diagnosis, and prognosis, providing updates on research and developments in biosensor technology for the detection of lung cancer biomarkers in biological samples. Finally, it comments on recent advances and potential future challenges in the field of biosensors in the context of lung cancer diagnosis and point-of-care applications.
Collapse
Affiliation(s)
- Raja Chinnappan
- College of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia
- Laboratory of Tissue/Organ Bioengineering & BioMEMS, Organ Transplant Centre of Excellence, Transplant Research & Innovation Department, King Faisal Specialist Hospital and Research Centre, Riyadh 11211, Saudi Arabia
| | - Tanveer Ahmad Mir
- Laboratory of Tissue/Organ Bioengineering & BioMEMS, Organ Transplant Centre of Excellence, Transplant Research & Innovation Department, King Faisal Specialist Hospital and Research Centre, Riyadh 11211, Saudi Arabia
| | | | - Tariq Makhzoum
- College of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia
| | - Alaa Alzhrani
- College of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia
- Laboratory of Tissue/Organ Bioengineering & BioMEMS, Organ Transplant Centre of Excellence, Transplant Research & Innovation Department, King Faisal Specialist Hospital and Research Centre, Riyadh 11211, Saudi Arabia
- Medical Laboratory Technology Department, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah 21589, Saudi Arabia
| | - Khalid Alnajjar
- College of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia
| | - Salma Adeeb
- College of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia
| | - Noor Al Eman
- College of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia
| | - Zara Ahmed
- College of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia
| | - Ismail Shakir
- College of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia
| | - Khaled Al-Kattan
- College of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia
| | - Ahmed Yaqinuddin
- College of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia
| |
Collapse
|
5
|
Mao C, Wu L, Wen Y, Tang X, Huang Z, Zhao L. Photoelectrochemical immunosensor for carcinoembryonic antigen detection-an attempt for early cancer screening. Biosens Bioelectron 2022; 220:114918. [DOI: 10.1016/j.bios.2022.114918] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 11/01/2022] [Accepted: 11/14/2022] [Indexed: 11/18/2022]
|
6
|
Gheorghe DC, Ilie-Mihai RM, Stefan-van Staden RI, Lungu-Moscalu A, van Staden JKF. Fast screening method for early diagnostic of gastric cancer based on utilization of a chitosan - S-doped graphene - based needle stochastic sensors. J Pharm Biomed Anal 2022; 214:114725. [PMID: 35303648 DOI: 10.1016/j.jpba.2022.114725] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Revised: 03/05/2022] [Accepted: 03/10/2022] [Indexed: 12/26/2022]
Abstract
Needle stochastic sensors were developed for the assay of carbohydrate antigen 19-9 (CA 19-9) and carcinoembryonic antigen (CEA) in different biological samples (e.g., whole blood, tissues, urine, and saliva). Sulfur doped graphene powders were modified with chitosan; paraffin oil was added to form a homogeneous paste that was used as active side of the stochastic sensors. High sensitivities and low limits of determination were achieved for the assay of CA19-9 and CEA in biological samples. The validation of the proposed screening method (which is utilizing the stochastic sensors as screening tools) was made by using real biological samples obtained from confirmed patients with gastric cancer; very good correlations for the concentrations of CEA and CA19-9 were obtained using the needle stochastic sensors.
Collapse
Affiliation(s)
- Damaris-Cristina Gheorghe
- Laboratory of Electrochemistry and PATLAB, National Institute of Research for Electrochemistry and Condensed Matter, 202 Splaiul Independentei Str., 060021 Bucharest-6, Romania; Faculty of Applied Chemistry and Material Science, University Politehnica of Bucharest, Bucharest, Romania
| | - Ruxandra-Maria Ilie-Mihai
- Laboratory of Electrochemistry and PATLAB, National Institute of Research for Electrochemistry and Condensed Matter, 202 Splaiul Independentei Str., 060021 Bucharest-6, Romania.
| | - Raluca-Ioana Stefan-van Staden
- Laboratory of Electrochemistry and PATLAB, National Institute of Research for Electrochemistry and Condensed Matter, 202 Splaiul Independentei Str., 060021 Bucharest-6, Romania; Faculty of Applied Chemistry and Material Science, University Politehnica of Bucharest, Bucharest, Romania.
| | - Alexandrina Lungu-Moscalu
- Laboratory of Electrochemistry and PATLAB, National Institute of Research for Electrochemistry and Condensed Matter, 202 Splaiul Independentei Str., 060021 Bucharest-6, Romania
| | - Jacobus Koos Frederick van Staden
- Laboratory of Electrochemistry and PATLAB, National Institute of Research for Electrochemistry and Condensed Matter, 202 Splaiul Independentei Str., 060021 Bucharest-6, Romania
| |
Collapse
|