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Chen Q, Zhang L, Qiao Z, Yang Y, Wu W, Wang C, Chen J, Wu S, Zhang Q. Ultrasensitive magnetic nanomechanical biosensors for simultaneous detection of multiple cardiovascular disease biomarkers in a single blood drop. Biosens Bioelectron 2025; 280:117448. [PMID: 40203706 DOI: 10.1016/j.bios.2025.117448] [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: 01/28/2025] [Revised: 02/25/2025] [Accepted: 04/03/2025] [Indexed: 04/11/2025]
Abstract
Cardiovascular disease (CVD) is the number one cause of death, and the early prevention of CVD is considered the most useful and cost-effective intervention strategy, highlighting the critical need for frequent and long-term monitoring cardiac abnormalities. However, traditional blood test methods often require considerable volumes of blood (>10 mL), which could burden physical health, especially for individuals in poor health. Here, we report a novel magnetic nanomechanical sensor (MNS) capable of simultaneously detecting multiple CVD biomarkers (brain natriuretic peptide (BNP), cardiac troponin I (cTnI) and creatine kinase MB (CK-MB)) in a single drop of blood (<1 μL). Relying on the force-sensitive microcantilevers and robust magnetic force, MNS can directly detect blood samples with a detection sensitivity for BNP as low as 0.1 pg/mL. Moreover, we improved the MNS sensitivity by reducing nonspecific adsorption and focusing the force on specific locations on the sensor surface. The effectiveness of the MNS was demonstrated through the detection of samples from clinical CVD patients and healthy individuals. Given its ultrasensitive, trace-sample requirement, and ability to monitor multiple biomarkers, the MNS holds significant potential for frequent and long-term monitoring-not only for CVD but also for the prevention and management of other chronic diseases.
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Affiliation(s)
- Qiubo Chen
- CAS Key Laboratory of Mechanical Behavior and Design of Material, Department of Modern Mechanics, University of Science and Technology of China, Hefei, Anhui, 230027, PR China
| | - Lin Zhang
- Department of Critical Care Medicine, The First Affiliated Hospital of USTC, Division of Life Science and Medicine, University of Science and Technology of China, Hefei, 230001, PR China
| | - Zihan Qiao
- CAS Key Laboratory of Mechanical Behavior and Design of Material, Department of Modern Mechanics, University of Science and Technology of China, Hefei, Anhui, 230027, PR China
| | - Yipeng Yang
- CAS Key Laboratory of Mechanical Behavior and Design of Material, Department of Modern Mechanics, University of Science and Technology of China, Hefei, Anhui, 230027, PR China
| | - Wenjie Wu
- CAS Key Laboratory of Mechanical Behavior and Design of Material, Department of Modern Mechanics, University of Science and Technology of China, Hefei, Anhui, 230027, PR China
| | - Chen Wang
- CAS Key Laboratory of Mechanical Behavior and Design of Material, Department of Modern Mechanics, University of Science and Technology of China, Hefei, Anhui, 230027, PR China
| | - Jian Chen
- Department of Critical Care Medicine, The First Affiliated Hospital of USTC, Division of Life Science and Medicine, University of Science and Technology of China, Hefei, 230001, PR China
| | - Shangquan Wu
- CAS Key Laboratory of Mechanical Behavior and Design of Material, Department of Modern Mechanics, University of Science and Technology of China, Hefei, Anhui, 230027, PR China; State Key Laboratory of Nonlinear Mechanics, Institute of Mechanics, Chinese Academy of Science, 15 Beisihuan West Road, Beijing, 100190, PR China.
| | - Qingchuan Zhang
- CAS Key Laboratory of Mechanical Behavior and Design of Material, Department of Modern Mechanics, University of Science and Technology of China, Hefei, Anhui, 230027, PR China.
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Hosnedlova B, Werle J, Cepova J, Narayanan VHB, Vyslouzilova L, Fernandez C, Parikesit AA, Kepinska M, Klapkova E, Kotaska K, Stepankova O, Bjorklund G, Prusa R, Kizek R. Electrochemical Sensors and Biosensors for Identification of Viruses: A Critical Review. Crit Rev Anal Chem 2024:1-30. [PMID: 38753964 DOI: 10.1080/10408347.2024.2343853] [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: 05/18/2024]
Abstract
Due to their life cycle, viruses can disrupt the metabolism of their hosts, causing diseases. If we want to disrupt their life cycle, it is necessary to identify their presence. For this purpose, it is possible to use several molecular-biological and bioanalytical methods. The reference selection was performed based on electronic databases (2020-2023). This review focused on electrochemical methods with high sensitivity and selectivity (53% voltammetry/amperometry, 33% impedance, and 12% other methods) which showed their great potential for detecting various viruses. Moreover, the aforementioned electrochemical methods have considerable potential to be applicable for care-point use as they are portable due to their miniaturizability and fast speed analysis (minutes to hours), and are relatively easy to interpret. A total of 2011 articles were found, of which 86 original papers were subsequently evaluated (the majority of which are focused on human pathogens, whereas articles dealing with plant pathogens are in the minority). Thirty-two species of viruses were included in the evaluation. It was found that most of the examined research studies (77%) used nanotechnological modifications. Other ones performed immunological (52%) or genetic analyses (43%) for virus detection. 5% of the reports used peptides to increase the method's sensitivity. When evaluable, 65% of the research studies had LOD values in the order of ng or nM. The vast majority (79%) of the studies represent proof of concept and possibilities with low application potential and a high need of further research experimental work.
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Affiliation(s)
- Bozena Hosnedlova
- BIOCEV, First Faculty of Medicine, Charles University, Vestec, Czech Republic
| | - Julia Werle
- Department of Medical Chemistry and Clinical Biochemistry, 2nd Faculty of Medicine, Charles University, University Hospital Motol, Prague, Czech Republic
| | - Jana Cepova
- Department of Medical Chemistry and Clinical Biochemistry, 2nd Faculty of Medicine, Charles University, University Hospital Motol, Prague, Czech Republic
| | - Vedha Hari B Narayanan
- Pharmaceutical Technology Lab, School of Chemical & Biotechnology, SASTRA Deemed University, Thanjavur, India
| | - Lenka Vyslouzilova
- Czech Institute of Informatics, Robotics and Cybernetics, Department of Biomedical Engineering & Assistive Technologies, Czech Technical University in Prague, Prague, Czech Republic
| | - Carlos Fernandez
- School of Pharmacy and Life Sciences, Robert Gordon University, Aberdeen, United Kingdom
| | - Arli Aditya Parikesit
- Department of Bioinformatics, School of Life Sciences, Indonesia International Institute for Life Sciences, Jakarta, Timur, Indonesia
| | - Marta Kepinska
- Department of Pharmaceutical Biochemistry, Faculty of Pharmacy, Wroclaw Medical University, Wroclaw, Poland
| | - Eva Klapkova
- Department of Medical Chemistry and Clinical Biochemistry, 2nd Faculty of Medicine, Charles University, University Hospital Motol, Prague, Czech Republic
| | - Karel Kotaska
- Department of Medical Chemistry and Clinical Biochemistry, 2nd Faculty of Medicine, Charles University, University Hospital Motol, Prague, Czech Republic
| | - Olga Stepankova
- Czech Institute of Informatics, Robotics and Cybernetics, Department of Biomedical Engineering & Assistive Technologies, Czech Technical University in Prague, Prague, Czech Republic
| | - Geir Bjorklund
- Council for Nutritional and Environmental Medicine (CONEM), Mo i Rana, Norway
| | - Richard Prusa
- Department of Medical Chemistry and Clinical Biochemistry, 2nd Faculty of Medicine, Charles University, University Hospital Motol, Prague, Czech Republic
| | - Rene Kizek
- Department of Medical Chemistry and Clinical Biochemistry, 2nd Faculty of Medicine, Charles University, University Hospital Motol, Prague, Czech Republic
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Wu W, Peng Y, Xu M, Yan T, Zhang D, Chen Y, Mei K, Chen Q, Wang X, Qiao Z, Wang C, Wu S, Zhang Q. Deep-Learning-Based Nanomechanical Vibration for Rapid and Label-Free Assay of Epithelial Mesenchymal Transition. ACS NANO 2024; 18:3480-3496. [PMID: 38169507 DOI: 10.1021/acsnano.3c10811] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/05/2024]
Abstract
Cancer is a profound danger to our life and health. The classification and related studies of epithelial and mesenchymal phenotypes of cancer cells are key scientific questions in cancer research. Here, we investigated cancer cell colonies from a mechanical perspective and developed an assay for classifying epithelial/mesenchymal cancer cell colonies using the biomechanical fingerprint in the form of "nanovibration" in combination with deep learning. The classification method requires only 1 s of vibration data and has a classification accuracy of nearly 92.5%. The method has also been validated for the screening of anticancer drugs. Compared with traditional methods, the method has the advantages of being nondestructive, label-free, and highly sensitive. Furthermore, we proposed a perspective that subcellular structure influences the amplitude and spectrum of nanovibrations and demonstrated it using experiments and numerical simulation. These findings allow internal changes in the cell colony to be manifested by nanovibrations. This work provides a perspective and an ancillary method for cancer cell phenotype diagnosis and promotes the study of biomechanical mechanisms of cancer progression.
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Affiliation(s)
- Wenjie Wu
- CAS Key Laboratory of Mechanical Behavior and Design of Material, Department of Modern Mechanics, University of Science and Technology of China, Hefei, Anhui 230027, People's Republic of China
| | - Yongpei Peng
- CAS Key Laboratory of Mechanical Behavior and Design of Material, Department of Modern Mechanics, University of Science and Technology of China, Hefei, Anhui 230027, People's Republic of China
| | - Mengjun Xu
- Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, Anhui 230027, People's Republic of China
| | - Tianhao Yan
- Department of Cell Biology, College of Basic Medical Sciences, Jilin University, Changchun 130021, People's Republic of China
| | - Duo Zhang
- CAS Key Laboratory of Mechanical Behavior and Design of Material, Department of Modern Mechanics, University of Science and Technology of China, Hefei, Anhui 230027, People's Republic of China
| | - Ye Chen
- CAS Key Laboratory of Mechanical Behavior and Design of Material, Department of Modern Mechanics, University of Science and Technology of China, Hefei, Anhui 230027, People's Republic of China
| | - Kainan Mei
- CAS Key Laboratory of Mechanical Behavior and Design of Material, Department of Modern Mechanics, University of Science and Technology of China, Hefei, Anhui 230027, People's Republic of China
| | - Qiubo Chen
- CAS Key Laboratory of Mechanical Behavior and Design of Material, Department of Modern Mechanics, University of Science and Technology of China, Hefei, Anhui 230027, People's Republic of China
| | - Xiapeng Wang
- CAS Key Laboratory of Mechanical Behavior and Design of Material, Department of Modern Mechanics, University of Science and Technology of China, Hefei, Anhui 230027, People's Republic of China
| | - Zihan Qiao
- CAS Key Laboratory of Mechanical Behavior and Design of Material, Department of Modern Mechanics, University of Science and Technology of China, Hefei, Anhui 230027, People's Republic of China
| | - Chen Wang
- CAS Key Laboratory of Mechanical Behavior and Design of Material, Department of Modern Mechanics, University of Science and Technology of China, Hefei, Anhui 230027, People's Republic of China
| | - Shangquan Wu
- CAS Key Laboratory of Mechanical Behavior and Design of Material, Department of Modern Mechanics, University of Science and Technology of China, Hefei, Anhui 230027, People's Republic of China
| | - Qingchuan Zhang
- CAS Key Laboratory of Mechanical Behavior and Design of Material, Department of Modern Mechanics, University of Science and Technology of China, Hefei, Anhui 230027, People's Republic of China
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Zhang H, Yang S, Zeng J, Li X, Chuai R. A Genosensor Based on the Modification of a Microcantilever: A Review. MICROMACHINES 2023; 14:427. [PMID: 36838127 PMCID: PMC9959632 DOI: 10.3390/mi14020427] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/27/2022] [Revised: 12/28/2022] [Accepted: 01/06/2023] [Indexed: 06/18/2023]
Abstract
When the free end of a microcantilever is modified by a genetic probe, this sensor can be used for a wider range of applications, such as for chemical analysis, biological testing, pharmaceutical screening, and environmental monitoring. In this paper, to clarify the preparation and detection process of a microcantilever sensor with genetic probe modification, the core procedures, such as probe immobilization, complementary hybridization, and signal extraction and processing, are combined and compared. Then, to reveal the microcantilever's detection mechanism and analysis, the influencing factors of testing results, the theoretical research, including the deflection principle, the establishment and verification of a detection model, as well as environmental influencing factors are summarized. Next, to demonstrate the application results of the genetic-probe-modified sensors, based on the classification of detection targets, the application status of other substances except nucleic acid, virus, bacteria and cells is not introduced. Finally, by enumerating the application results of a genetic-probe-modified microcantilever combined with a microfluidic chip, the future development direction of this technology is surveyed. It is hoped that this review will contribute to the future design of a genetic-probe-modified microcantilever, with further exploration of the sensitive mechanism, optimization of the design and processing methods, expansion of the application fields, and promotion of practical application.
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Affiliation(s)
- He Zhang
- Correspondence: ; Tel.: +86-024-2549-6401
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Wang D, Guo J, Wang Z, Bao L, Xu J, Li HJ, Li G. Two-Dimensional MoS 2 for Resonant-Gravimetric Detection of Ppb-Level Formaldehyde. Anal Chem 2022. [DOI: 10.1021/acs.analchem.2c04532] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Affiliation(s)
- Ding Wang
- School of Materials and Chemistry, University of Shanghai for Science & Technology, Shanghai200093, China
| | - Jie Guo
- School of Materials and Chemistry, University of Shanghai for Science & Technology, Shanghai200093, China
| | - Zihan Wang
- School of Materials and Chemistry, University of Shanghai for Science & Technology, Shanghai200093, China
| | - Liping Bao
- School of Materials and Chemistry, University of Shanghai for Science & Technology, Shanghai200093, China
| | - Jingcheng Xu
- School of Materials and Chemistry, University of Shanghai for Science & Technology, Shanghai200093, China
| | - Hui-Jun Li
- School of Materials and Chemistry, University of Shanghai for Science & Technology, Shanghai200093, China
| | - Guisheng Li
- School of Materials and Chemistry, University of Shanghai for Science & Technology, Shanghai200093, China
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Recent Advances in Nanomechanical Membrane-Type Surface Stress Sensors towards Artificial Olfaction. BIOSENSORS 2022; 12:bios12090762. [PMID: 36140147 PMCID: PMC9496807 DOI: 10.3390/bios12090762] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Revised: 09/08/2022] [Accepted: 09/14/2022] [Indexed: 11/17/2022]
Abstract
Nanomechanical sensors have gained significant attention as powerful tools for detecting, distinguishing, and identifying target analytes, especially odors that are composed of a complex mixture of gaseous molecules. Nanomechanical sensors and their arrays are a promising platform for artificial olfaction in combination with data processing technologies, including machine learning techniques. This paper reviews the background of nanomechanical sensors, especially conventional cantilever-type sensors. Then, we focus on one of the optimized structures for static mode operation, a nanomechanical Membrane-type Surface stress Sensor (MSS), and discuss recent advances in MSS and their applications towards artificial olfaction.
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Mao G, Yang Y, Cao S, Ye S, Li Y, Zhao W, An H, Liu Y, Dai J, Ma Y. Ratiometric fluorescence immunoassay of SARS-CoV-2 nucleocapsid protein via Si-FITC nanoprobe-based inner filter effect. NANO RESEARCH 2022; 16:5383-5390. [PMID: 35992363 PMCID: PMC9382001 DOI: 10.1007/s12274-022-4740-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Revised: 07/01/2022] [Accepted: 07/03/2022] [Indexed: 05/25/2023]
Abstract
UNLABELLED The global pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus has necessitated rapid, easy-to-use, and accurate diagnostic methods to monitor the virus infection. Herein, a ratiometric fluorescence enzyme-linked immunosorbent assay (ELISA) was developed using Si-fluorescein isothiocyanate nanoparticles (FITC NPs) for detecting SARS-CoV-2 nucleocapsid (N) protein. Si-FITC NPs were prepared by a one-pot hydrothermal method using 3-aminopropyl triethoxysilane (APTES)-FITC as the Si source. This method did not need post-modification and avoided the reduction in quantum yield and stability. The p-nitrophenyl (pNP) produced by the alkaline phosphatase (ALP)-mediated hydrolysis of p-nitrophenyl phosphate (pNPP) could quench Si fluorescence in Si-FITC NPs via the inner filter effect. In ELISA, an immunocomplex was formed by the recognition of capture antibody/N protein/reporter antibody. ALP-linked secondary antibody bound to the reporter antibody and induced pNPP hydrolysis to specifically quench Si fluorescence in Si-FITC NPs. The change in fluorescence intensity ratio could be used for detecting N protein, with a wide linearity range (0.01-10.0 and 50-300 ng/mL) and low detection limit (0.002 ng/mL). The concentration of spiked SARS-CoV-2 N protein could be determined accurately in human serum. Moreover, this proposed method can accurately distinguish coronavirus disease 2019 (COVID-19) and non-COVID-19 patient samples. Therefore, this simple, sensitive, and accurate method can be applied for the early diagnosis of SARS-CoV-2 virus infection. ELECTRONIC SUPPLEMENTARY MATERIAL Supplementary material (characterization of Si-FITC NPs (FTIR spectrum, XRD spectra, and synchronous fluorescence spectra); condition optimization of ALP response (fluorescence intensity ratio change); mechanism investigation of ALP response (fluorescence lifetime decay curves and UV-vis absorption spectra); detection of N protein using commercial ELISA Kit; analytical performance of assays for ALP detection or SARS-CoV-2 N protein detection; and determination results of SARS-CoV-2 N protein in human serum) is available in the online version of this article at 10.1007/s12274-022-4740-5.
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Affiliation(s)
- Guobin Mao
- CAS Key Laboratory of Quantitative Engineering Biology, Guangdong Provincial Key Laboratory of Synthetic Genomics and Shenzhen Key Laboratory of Synthetic Genomics, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055 China
| | - Yang Yang
- Shenzhen Key Laboratory of Pathogen and Immunity, National Clinical Research Center for infectious disease, State Key Discipline of Infectious Disease, Shenzhen Third People’s Hospital, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen, 518112 China
| | - Shijie Cao
- CAS Key Laboratory of Quantitative Engineering Biology, Guangdong Provincial Key Laboratory of Synthetic Genomics and Shenzhen Key Laboratory of Synthetic Genomics, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055 China
- Guangxi University of Chinese Medicine, Nanning, 530001 China
| | - Silu Ye
- CAS Key Laboratory of Quantitative Engineering Biology, Guangdong Provincial Key Laboratory of Synthetic Genomics and Shenzhen Key Laboratory of Synthetic Genomics, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055 China
| | - Yifang Li
- CAS Key Laboratory of Quantitative Engineering Biology, Guangdong Provincial Key Laboratory of Synthetic Genomics and Shenzhen Key Laboratory of Synthetic Genomics, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055 China
| | - Wei Zhao
- CAS Key Laboratory of Quantitative Engineering Biology, Guangdong Provincial Key Laboratory of Synthetic Genomics and Shenzhen Key Laboratory of Synthetic Genomics, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055 China
| | - Hongwei An
- Guangxi University of Chinese Medicine, Nanning, 530001 China
| | - Yingxia Liu
- Shenzhen Key Laboratory of Pathogen and Immunity, National Clinical Research Center for infectious disease, State Key Discipline of Infectious Disease, Shenzhen Third People’s Hospital, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen, 518112 China
| | - Junbiao Dai
- CAS Key Laboratory of Quantitative Engineering Biology, Guangdong Provincial Key Laboratory of Synthetic Genomics and Shenzhen Key Laboratory of Synthetic Genomics, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055 China
| | - Yingxin Ma
- CAS Key Laboratory of Quantitative Engineering Biology, Guangdong Provincial Key Laboratory of Synthetic Genomics and Shenzhen Key Laboratory of Synthetic Genomics, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055 China
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