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Secme A, Kucukoglu B, Pisheh HS, Alatas YC, Tefek U, Uslu HD, Kaynak BE, Alhmoud H, Hanay MS. Dielectric Detection of Single Nanoparticles Using a Microwave Resonator Integrated with a Nanopore. ACS OMEGA 2024; 9:7827-7834. [PMID: 38405444 PMCID: PMC10882703 DOI: 10.1021/acsomega.3c07506] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Revised: 12/06/2023] [Accepted: 12/11/2023] [Indexed: 02/27/2024]
Abstract
The characterization of individual nanoparticles in a liquid constitutes a critical challenge for the environmental, material, and biological sciences. To detect nanoparticles, electronic approaches are especially desirable owing to their compactness and lower costs. While electronic detection in the form of resistive-pulse sensing has enabled the acquisition of geometric properties of various analytes, impedimetric measurements to obtain dielectric signatures of nanoparticles have scarcely been reported. To explore this orthogonal sensing modality, we developed an impedimetric sensor based on a microwave resonator with a nanoscale sensing gap surrounding a nanopore built on a 220 nm silicon nitride membrane. The microwave resonator has a coplanar waveguide configuration with a resonance frequency of approximately 6.6 GHz. The approach of single nanoparticles near the sensing region and their translocation through the nanopores induced sudden changes in the impedance of the structure. The impedance changes, in turn, were picked up by the phase response of the microwave resonator. We worked with 100 and 50 nm polystyrene nanoparticles to observe single-particle events. Our current implementation was limited by the nonuniform electric field at the sensing region. This work provides a complementary sensing modality for nanoparticle characterization, where the dielectric response, rather than ionic current, determines the signal.
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Affiliation(s)
- Arda Secme
- Department
of Mechanical Engineering, Bilkent University, Ankara 06800, Turkey
- UNAM
− Institute of Materials Science and Nanotechnology, Bilkent University, Ankara 06800, Turkey
| | - Berk Kucukoglu
- Department
of Mechanical Engineering, Bilkent University, Ankara 06800, Turkey
- UNAM
− Institute of Materials Science and Nanotechnology, Bilkent University, Ankara 06800, Turkey
| | - Hadi S. Pisheh
- Department
of Mechanical Engineering, Bilkent University, Ankara 06800, Turkey
- UNAM
− Institute of Materials Science and Nanotechnology, Bilkent University, Ankara 06800, Turkey
| | - Yagmur Ceren Alatas
- Department
of Mechanical Engineering, Bilkent University, Ankara 06800, Turkey
- UNAM
− Institute of Materials Science and Nanotechnology, Bilkent University, Ankara 06800, Turkey
| | - Uzay Tefek
- Department
of Mechanical Engineering, Bilkent University, Ankara 06800, Turkey
- UNAM
− Institute of Materials Science and Nanotechnology, Bilkent University, Ankara 06800, Turkey
| | - Hatice Dilara Uslu
- Department
of Mechanical Engineering, Bilkent University, Ankara 06800, Turkey
- UNAM
− Institute of Materials Science and Nanotechnology, Bilkent University, Ankara 06800, Turkey
| | - Batuhan E. Kaynak
- Department
of Mechanical Engineering, Bilkent University, Ankara 06800, Turkey
- UNAM
− Institute of Materials Science and Nanotechnology, Bilkent University, Ankara 06800, Turkey
| | - Hashim Alhmoud
- Department
of Mechanical Engineering, Bilkent University, Ankara 06800, Turkey
- UNAM
− Institute of Materials Science and Nanotechnology, Bilkent University, Ankara 06800, Turkey
| | - M. Selim Hanay
- Department
of Mechanical Engineering, Bilkent University, Ankara 06800, Turkey
- UNAM
− Institute of Materials Science and Nanotechnology, Bilkent University, Ankara 06800, Turkey
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Tefek U, Sari B, Alhmoud HZ, Hanay MS. Permittivity-Based Microparticle Classification by the Integration of Impedance Cytometry and Microwave Resonators. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2023; 35:e2304072. [PMID: 37498158 DOI: 10.1002/adma.202304072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Revised: 07/12/2023] [Indexed: 07/28/2023]
Abstract
Permittivity of microscopic particles can be used as a classification parameter for applications in materials and environmental sciences. However, directly measuring the permittivity of individual microparticles has proven to be challenging due to the convoluting effect of particle size on capacitive signals. To overcome this challenge, a sensing platform is built to independently obtain both the geometric and electric size of a particle, by combining impedance cytometry and microwave resonant sensing in a microfluidic chip. This way the microwave signal, which contains both permittivity and size effects, can be normalized by the size information provided by impedance cytometry to yield an intensive parameter that depends only on permittivity. The technique allows to differentiate between polystyrene and soda lime glass microparticles-below 22 µm in diameter-with more than 94% accuracy, despite their similar sizes and electrical characteristics. Furthermore, it is shown that the same technique can be used to differentiate between normal healthy cells and fixed cells of the same geometric size. The technique offers a potential route for targeted applications such as environmental monitoring of microplastic pollution or quality control in pharmaceutical industry.
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Affiliation(s)
- Uzay Tefek
- Department of Mechanical Engineering, Bilkent University, Ankara, 06800, Turkey
- UNAM - Institute of Materials Science and Nanotechnology, Bilkent University, Ankara, 06800, Turkey
| | - Burak Sari
- Department of Electrical Engineering, Sabanci University, Istanbul, 34956, Turkey
| | - Hashim Z Alhmoud
- Department of Mechanical Engineering, Bilkent University, Ankara, 06800, Turkey
- UNAM - Institute of Materials Science and Nanotechnology, Bilkent University, Ankara, 06800, Turkey
| | - Mehmet S Hanay
- Department of Mechanical Engineering, Bilkent University, Ankara, 06800, Turkey
- UNAM - Institute of Materials Science and Nanotechnology, Bilkent University, Ankara, 06800, Turkey
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Wilson AJ, Rahman M, Kosmas P, Thanou M. Nanomaterials responding to microwaves: an emerging field for imaging and therapy. NANOSCALE ADVANCES 2021; 3:3417-3429. [PMID: 34527861 PMCID: PMC8388194 DOI: 10.1039/d0na00840k] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/09/2020] [Accepted: 03/12/2021] [Indexed: 05/05/2023]
Abstract
In recent years, new microwave-based imaging, sensing and hyperthermia applications have emerged in the field of diagnostics and therapy. For diagnosis, this technology involves the application of low power microwaves, utilising contrast between the relative permittivity of tissues to identify pathologies. This contrast can be further enhanced through the implementation of nanomaterials. For therapy, this technology can be applied in tissues either through hyperthermia, which can help anti-cancer drug tumour penetration or as ablation to destroy malignant tissues. Nanomaterials can absorb electromagnetic radiation and can enhance the microwave hyperthermic effect. In this review we aim to introduce this area of renewed interest and provide insights into current developments in its technologies and companion nanoparticles, as well as presenting an overview of applications for diagnosis and therapy.
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Affiliation(s)
- Annah J Wilson
- School of Cancer & Pharmaceutical Sciences, King's College London, Institute of Pharmaceutical Science Franklin Wilkins Building, 150 Stamford Street London SE1 9NH UK
- Department of Engineering, King's College London UK
| | - Mohammed Rahman
- School of Cancer & Pharmaceutical Sciences, King's College London, Institute of Pharmaceutical Science Franklin Wilkins Building, 150 Stamford Street London SE1 9NH UK
- Department of Engineering, King's College London UK
| | | | - Maya Thanou
- School of Cancer & Pharmaceutical Sciences, King's College London, Institute of Pharmaceutical Science Franklin Wilkins Building, 150 Stamford Street London SE1 9NH UK
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Honrado C, Bisegna P, Swami NS, Caselli F. Single-cell microfluidic impedance cytometry: from raw signals to cell phenotypes using data analytics. LAB ON A CHIP 2021; 21:22-54. [PMID: 33331376 PMCID: PMC7909465 DOI: 10.1039/d0lc00840k] [Citation(s) in RCA: 79] [Impact Index Per Article: 26.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/03/2023]
Abstract
The biophysical analysis of single-cells by microfluidic impedance cytometry is emerging as a label-free and high-throughput means to stratify the heterogeneity of cellular systems based on their electrophysiology. Emerging applications range from fundamental life-science and drug assessment research to point-of-care diagnostics and precision medicine. Recently, novel chip designs and data analytic strategies are laying the foundation for multiparametric cell characterization and subpopulation distinction, which are essential to understand biological function, follow disease progression and monitor cell behaviour in microsystems. In this tutorial review, we present a comparative survey of the approaches to elucidate cellular and subcellular features from impedance cytometry data, covering the related subjects of device design, data analytics (i.e., signal processing, dielectric modelling, population clustering), and phenotyping applications. We give special emphasis to the exciting recent developments of the technique (timeframe 2017-2020) and provide our perspective on future challenges and directions. Its synergistic application with microfluidic separation, sensor science and machine learning can form an essential toolkit for label-free quantification and isolation of subpopulations to stratify heterogeneous biosystems.
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Affiliation(s)
- Carlos Honrado
- Department of Electrical and Computer Engineering, University of Virginia, Charlottesville, VA 22904, USA.
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Sader JE, Hanay MS, Neumann AP, Roukes ML. Mass Spectrometry Using Nanomechanical Systems: Beyond the Point-Mass Approximation. NANO LETTERS 2018; 18:1608-1614. [PMID: 29369636 DOI: 10.1021/acs.nanolett.7b04301] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
The mass measurement of single molecules, in real time, is performed routinely using resonant nanomechanical devices. This approach models the molecules as point particles. A recent development now allows the spatial extent (and, indeed, image) of the adsorbate to be characterized using multimode measurements ( Hanay , M. S. , Nature Nanotechnol. , 10 , 2015 , pp 339 - 344 ). This "inertial imaging" capability is achieved through virtual re-engineering of the resonator's vibrating modes, by linear superposition of their measured frequency shifts. Here, we present a complementary and simplified methodology for the analysis of these inertial imaging measurements that exhibits similar performance while streamlining implementation. This development, together with the software that we provide, enables the broad implementation of inertial imaging that opens the door to a range of novel characterization studies of nanoscale adsorbates.
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Affiliation(s)
- John E Sader
- ARC Centre of Excellence in Exciton Science, School of Mathematics and Statistics , The University of Melbourne , Victoria 3010 , Australia
- Kavli Nanoscience Institute and Departments of Physics & Applied Physics and Biological Engineering , California Institute of Technology , Pasadena , California 91125 , United States
| | - M Selim Hanay
- Kavli Nanoscience Institute and Departments of Physics & Applied Physics and Biological Engineering , California Institute of Technology , Pasadena , California 91125 , United States
- Department of Mechanical Engineering and National Nanotechnology Research Center (UNAM) , Bilkent University , Ankara 06800 , Turkey
| | - Adam P Neumann
- Kavli Nanoscience Institute and Departments of Physics & Applied Physics and Biological Engineering , California Institute of Technology , Pasadena , California 91125 , United States
| | - Michael L Roukes
- Kavli Nanoscience Institute and Departments of Physics & Applied Physics and Biological Engineering , California Institute of Technology , Pasadena , California 91125 , United States
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