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Yuan Z, Han M, Li D, Hao R, Guo X, Sang S, Zhang H, Ma X, Jin H, Xing Z, Zhao C. A cost-effective smartphone-based device for rapid C-reaction protein (CRP) detection using magnetoelastic immunosensor. LAB ON A CHIP 2023; 23:2048-2056. [PMID: 36916284 DOI: 10.1039/d2lc01065h] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/05/2023]
Abstract
C-Reaction protein (CRP) is a marker of nonspecific immunity for vital signs and wound assessment, and it can be used to diagnose infections in clinical medicine. However, measuring CRP level currently requires hospital-based instruments, high-cost reagents, and a complex process, all of which have limited its full capabilities for self-detection, a growing trend in modern medicine. In this study, we developed a novel smartphone-based device using advanced methods of magnetoelastic immunosensing to mitigate these limitations. We combined a system-on-chip (SoC) hardware architecture with smartphone apps to realize the sampling of resonance frequency shift on magnetoelastic chips, which can determine the ultra-sensitivity to mass change caused by the binding of anti-CRP antibody and CRP. Through detecting a multi-group of samples, we found that the resonance frequency shift was linearly proportional to the CRP concentration in the range from 0.1 to 100 μg mL-1, with a sensitivity of 12.90 Hz μg-1 mL-1 and a detection limit of 2.349 × 10-4 μg mL-1. Meanwhile, compared with the large-scale instrument used in clinical settings, the performance of our device was stable and significantly more portable, rapid and cost-effective, offering excellent potential for modern home-based diagnosis.
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Affiliation(s)
- Zhongyun Yuan
- Shanxi Key Laboratory of Micro Nano Sensors & Artificial Intelligence Perception, College of Information and Computer, Taiyuan University of Technology, Taiyuan, 030024, China.
- Key Lab of Advanced Transducers and Intelligent Control System of the Ministry of Education, Taiyuan University of Technology, Taiyuan, 030024, China
| | - Mengshu Han
- Shanxi Key Laboratory of Micro Nano Sensors & Artificial Intelligence Perception, College of Information and Computer, Taiyuan University of Technology, Taiyuan, 030024, China.
- Key Lab of Advanced Transducers and Intelligent Control System of the Ministry of Education, Taiyuan University of Technology, Taiyuan, 030024, China
| | - Donghao Li
- Shanxi Key Laboratory of Micro Nano Sensors & Artificial Intelligence Perception, College of Information and Computer, Taiyuan University of Technology, Taiyuan, 030024, China.
- Key Lab of Advanced Transducers and Intelligent Control System of the Ministry of Education, Taiyuan University of Technology, Taiyuan, 030024, China
| | - Runfang Hao
- Shanxi Key Laboratory of Micro Nano Sensors & Artificial Intelligence Perception, College of Information and Computer, Taiyuan University of Technology, Taiyuan, 030024, China.
- Key Lab of Advanced Transducers and Intelligent Control System of the Ministry of Education, Taiyuan University of Technology, Taiyuan, 030024, China
| | - Xing Guo
- Shanxi Key Laboratory of Micro Nano Sensors & Artificial Intelligence Perception, College of Information and Computer, Taiyuan University of Technology, Taiyuan, 030024, China.
- Key Lab of Advanced Transducers and Intelligent Control System of the Ministry of Education, Taiyuan University of Technology, Taiyuan, 030024, China
| | - Shengbo Sang
- Shanxi Key Laboratory of Micro Nano Sensors & Artificial Intelligence Perception, College of Information and Computer, Taiyuan University of Technology, Taiyuan, 030024, China.
- Key Lab of Advanced Transducers and Intelligent Control System of the Ministry of Education, Taiyuan University of Technology, Taiyuan, 030024, China
| | - Hongpeng Zhang
- Department of Vascular Surgery, Chinese PLA General Hospital, 100853, Beijing, China
| | - Xingyi Ma
- School of Science, Harbin Institute of Technology, Shenzhen, Guangdong 518055, China
| | - Hu Jin
- Division of Electrical Engineering, Hanyang University, 15588 Ansan, Republic of Korea
| | - Zhijin Xing
- Department of Ultrasound Medicine, Shenzhen Hospital of the University of Hong Kong, 518053, Shenzhen, China
| | - Chun Zhao
- College of Information and Communication Engineering, Sungkyunkwan University, Chunchun-Dong, Changan-Ku, 440746 Suwon, Republic of Korea.
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State of the Art in Smart Portable, Wearable, Ingestible and Implantable Devices for Health Status Monitoring and Disease Management. SENSORS 2022; 22:s22114228. [PMID: 35684847 PMCID: PMC9185336 DOI: 10.3390/s22114228] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Revised: 05/25/2022] [Accepted: 05/26/2022] [Indexed: 02/01/2023]
Abstract
Several illnesses that are chronic and acute are becoming more relevant as the world's aging population expands, and the medical sector is transforming rapidly, as a consequence of which the need for "point-of-care" (POC), identification/detection, and real time management of health issues that have been required for a long time are increasing. Biomarkers are biological markers that help to detect status of health or disease. Biosensors' applications are for screening for early detection, chronic disease treatment, health management, and well-being surveillance. Smart devices that allow continual monitoring of vital biomarkers for physiological health monitoring, medical diagnosis, and assessment are becoming increasingly widespread in a variety of applications, ranging from biomedical to healthcare systems of surveillance and monitoring. The term "smart" is used due to the ability of these devices to extract data with intelligence and in real time. Wearable, implantable, ingestible, and portable devices can all be considered smart devices; this is due to their ability of smart interpretation of data, through their smart sensors or biosensors and indicators. Wearable and portable devices have progressed more and more in the shape of various accessories, integrated clothes, and body attachments and inserts. Moreover, implantable and ingestible devices allow for the medical diagnosis and treatment of patients using tiny sensors and biomedical gadgets or devices have become available, thus increasing the quality and efficacy of medical treatments by a significant margin. This article summarizes the state of the art in portable, wearable, ingestible, and implantable devices for health status monitoring and disease management and their possible applications. It also identifies some new technologies that have the potential to contribute to the development of personalized care. Further, these devices are non-invasive in nature, providing information with accuracy and in given time, thus making these devices important for the future use of humanity.
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Head T, Cady NC. Monitoring and modulation of the tumor microenvironment for enhanced cancer modeling. Exp Biol Med (Maywood) 2022; 247:598-613. [PMID: 35088603 PMCID: PMC9014523 DOI: 10.1177/15353702221074293] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Cancer treatments utilizing biologic or cytotoxic drugs compose the frontline of therapy, and though gains in treatment efficacy have been persistent in recent decades, much work remains in understanding cancer progression and treatment. Compounding this situation is the low rate of success when translating preclinical drug candidates to the clinic, which raises costs and development timelines. This underperformance is due in part to the poor recapitulation of the tumor microenvironment, a critical component of cancer biology, in cancer model systems. New technologies capable of both accurately observing and manipulating the tumor microenvironment are needed to effectively model cancer response to treatment. In this review, conventional cancer models are summarized, and a primer on emerging techniques for monitoring and modulating the tumor microenvironment is presented and discussed.
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Affiliation(s)
- Tristen Head
- College of Nanoscale Science & Engineering,
State University of New York Polytechnic Institute, Albany, NY 12203, USA
| | - Nathaniel C Cady
- College of Nanoscale Science & Engineering,
State University of New York Polytechnic Institute, Albany, NY 12203, USA
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Hu Y, Chen Y, Tang Q, Liu H. A sandwich-type ECL immunosensor for the sensitive determination of CEA content based on red emission carbon quantum dots as luminophores. NEW J CHEM 2021. [DOI: 10.1039/d1nj01002f] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
A novel electrochemiluminescent immunosensor was constructed based on the quenching effect between red emission carbon quantum dots and aminated graphene.
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Affiliation(s)
- Yuefang Hu
- College of Materials and Chemical Engineering
- Hezhou University
- Hezhou
- China
| | - Yuxin Chen
- Faculty of Chinese Medicine Science, Guangxi University of Chinese Medicine
- Nanning
- China
| | - Quan Tang
- College of Materials and Chemical Engineering
- Hezhou University
- Hezhou
- China
| | - Hanfu Liu
- College of Pharmacy, Guilin Medical University
- Guilin
- China
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A Passive Magnetoelastic Radiation Sensor. SENSORS 2019; 19:s19224959. [PMID: 31739491 PMCID: PMC6891336 DOI: 10.3390/s19224959] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/03/2019] [Revised: 11/06/2019] [Accepted: 11/07/2019] [Indexed: 11/17/2022]
Abstract
A passive gamma detection technology, consisting of a fielded sensor and a separate analysis system, is described. The sensor is a small cylinder, about 2.5 mm in diameter and 15 mm in length. It requires no onboard power sources or physical connections for power or data transfer, and retains its cumulative response to radiation. The sensor consists of an amorphous magnetoelastic wire held in a longitudinally-stressed state by a radiation-sensitive material. When the radiation-sensitive material is subjected to gamma radiation, it mechanically degrades, relaxing the stress on the wire and lowering the wire’s magnetic permeability. The changes in permeability are observed by switching the magnetic domains in the wire and measuring the reduction in the Faraday voltage as the stress is diminished. The analysis package is built around an excitation-detection coil set and can communicate wirelessly with the sensor through a metallic or nonmetallic barrier at distances up to about 25 mm. The sensor response is linear up to a dose of at least 7 kGy.
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