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Mansor MA, Ahmad MR, Petrů M, Rahimian Koloor SS. An impedance flow cytometry with integrated dual microneedle for electrical properties characterization of single cell. ARTIFICIAL CELLS, NANOMEDICINE, AND BIOTECHNOLOGY 2023; 51:371-383. [PMID: 37548425 DOI: 10.1080/21691401.2023.2239274] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Revised: 07/10/2023] [Accepted: 07/12/2023] [Indexed: 08/08/2023]
Abstract
Electrical characteristics of living cells have been proven to reveal important details about their internal structure, charge distribution and composition changes in the cell membrane, as well as the extracellular context. An impedance flow cytometry is a common approach to determine the electrical properties of a cell, having the advantage of label-free and high throughput. However, the current techniques are complex and costly for the fabrication process. For that reason, we introduce an integrated dual microneedle-microchannel for single-cell detection and electrical properties extraction. The dual microneedles utilized a commercially available tungsten needle coated with parylene. When a single cell flows through the parallel-facing electrode configuration of the dual microneedle, the electrical impedance at multiple frequencies is measured. The impedance measurement demonstrated the differential of normal red blood cells (RBCs) with three different sizes of microbeads at low and high frequencies, 100 kHz and 2 MHz, respectively. An electrical equivalent circuit model (ECM) was used to determine the unique membrane capacitance of individual cells. The proposed technique demonstrated that the specific membrane capacitance of an RBC is 9.42 mF/m-2, with the regression coefficients, ρ at 0.9895. As a result, this device may potentially be used in developing countries for low-cost single-cell screening and detection.
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Affiliation(s)
- Muhammad Asraf Mansor
- Department of Control and Mechatronics Engineering, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Skudai, Malaysia
| | - Mohd Ridzuan Ahmad
- Department of Control and Mechatronics Engineering, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Skudai, Malaysia
| | - Michal Petrů
- Faculty of Mechanical Engineering, Technical University of Liberec, Liberec, Czech Republic
| | - Seyed Saeid Rahimian Koloor
- Institute for Nanomaterials, Advanced Technologies and Innovation, Technical University of Liberec, Liberec, Czech Republic
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Joshi K, Javani A, Park J, Velasco V, Xu B, Razorenova O, Esfandyarpour R. A Machine Learning-Assisted Nanoparticle-Printed Biochip for Real-Time Single Cancer Cell Analysis. ACTA ACUST UNITED AC 2020; 4:e2000160. [PMID: 33025770 DOI: 10.1002/adbi.202000160] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2020] [Revised: 08/30/2020] [Indexed: 11/09/2022]
Abstract
Cancers are a complex conglomerate of heterogeneous cell populations with varying genotypes and phenotypes. The intercellular heterogeneity within the same tumor and intratumor heterogeneity within various tumors are the leading causes of resistance to cancer therapies and varied outcomes in different patients. Therefore, performing single-cell analysis is essential to identify and classify cancer cell types and study cellular heterogeneity. Here, the development of a machine learning-assisted nanoparticle-printed biochip for single-cell analysis is reported. The biochip is integrated by combining powerful machine learning techniques with easily accessible inkjet printing and microfluidics technology. The biochip is easily prototype-able, miniaturized, and cost-effective, potentially capable of differentiating a variety of cell types in a label-free manner. n-feature classifiers are established and their performance metrics are evaluated. The biochip's utility to discriminate noncancerous cells from cancerous cells at the single-cell level is demonstrated. The biochip's utility in classifying cancer sub-type cells is also demonstrated. It is envisioned that such a chip has potential applications in single-cell studies, tumor heterogeneity studies, and perhaps in point-of-care cancer diagnostics-especially in developing countries where the cost, limited infrastructures, and limited access to medical technologies are of the utmost importance.
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Affiliation(s)
- Kushal Joshi
- Department of Biomedical Engineering, University of California Irvine, Irvine, CA, 92697, USA
| | - Alireza Javani
- Department of Electrical Engineering, University of California Irvine, Irvine, CA, 92697, USA
| | - Joshua Park
- Department of Electrical Engineering, University of California Irvine, Irvine, CA, 92697, USA
| | - Vanessa Velasco
- Biochemistry Department, Stanford University, Palo Alto, CA, 94305, USA
| | - Binzhi Xu
- Department of Molecular Biology and Biochemistry, University of California Irvine, Irvine, CA, 92697, USA
| | - Olga Razorenova
- Department of Molecular Biology and Biochemistry, University of California Irvine, Irvine, CA, 92697, USA
| | - Rahim Esfandyarpour
- Department of Biomedical Engineering, University of California Irvine, Irvine, CA, 92697, USA.,Department of Electrical Engineering, University of California Irvine, Irvine, CA, 92697, USA
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3D-bioprinted all-inclusive bioanalytical platforms for cell studies. Sci Rep 2020; 10:14669. [PMID: 32887912 PMCID: PMC7474064 DOI: 10.1038/s41598-020-71452-6] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2020] [Accepted: 07/29/2020] [Indexed: 12/31/2022] Open
Abstract
Innovative drug screening platforms should improve the discovery of novel and personalized cancer treatment. Common models such as animals and 2D cell cultures lack the proper recapitulation of organ structure and environment. Thus, a new generation of platforms must consist of cell models that accurately mimic the cells’ microenvironment, along with flexibly prototyped cell handling structures that represent the human environment. Here, we adapted the 3D-bioprinting technology to develop multiple all-inclusive high throughputs and customized organ-on-a-chip-like platforms along with printed 3D-cell structures. Such platforms are potentially capable of performing 3D cell model analysis and cell-therapeutic response studies. We illustrated spherical and rectangular geometries of bio-printed 3D human colon cancer cell constructs. We also demonstrated the utility of directly 3D-bioprinting and rapidly prototyping of PDMS-based microfluidic cell handling arrays in different geometries. Besides, we successfully monitored the post-viability of the 3D-cell constructs for seven days. Furthermore, to mimic the human environment more closely, we integrated a 3D-bioprinted perfused drug screening microfluidics platform. Platform’s channels subject cell constructs to physiological fluid flow, while its concave well array hold and perfused 3D-cell constructs. The bio-applicability of PDMS-based arrays was also demonstrated by performing cancer cell-therapeutic response studies.
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Esfandyarpour R, Kashi A, Nemat-Gorgani M, Wilhelmy J, Davis RW. A nanoelectronics-blood-based diagnostic biomarker for myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). Proc Natl Acad Sci U S A 2019; 116:10250-10257. [PMID: 31036648 PMCID: PMC6535016 DOI: 10.1073/pnas.1901274116] [Citation(s) in RCA: 50] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
There is not currently a well-established, if any, biological test to diagnose myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). The molecular aberrations observed in numerous studies of ME/CFS blood cells offer the opportunity to develop a diagnostic assay from blood samples. Here we developed a nanoelectronics assay designed as an ultrasensitive assay capable of directly measuring biomolecular interactions in real time, at low cost, and in a multiplex format. To pursue the goal of developing a reliable biomarker for ME/CFS and to demonstrate the utility of our platform for point-of-care diagnostics, we validated the array by testing patients with moderate to severe ME/CFS patients and healthy controls. The ME/CFS samples' response to the hyperosmotic stressor observed as a unique characteristic of the impedance pattern and dramatically different from the response observed among the control samples. We believe the observed robust impedance modulation difference of the samples in response to hyperosmotic stress can potentially provide us with a unique indicator of ME/CFS. Moreover, using supervised machine learning algorithms, we developed a classifier for ME/CFS patients capable of identifying new patients, required for a robust diagnostic tool.
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Affiliation(s)
- R Esfandyarpour
- Department of Electrical Engineering and Computer Science, University of California, Irvine, CA 92697;
| | - A Kashi
- Stanford Genome Technology Center, Stanford University, Stanford, CA 94304
| | - M Nemat-Gorgani
- Stanford Genome Technology Center, Stanford University, Stanford, CA 94304
- Department of Biochemistry, School of Medicine, Stanford University, Stanford, CA 94304
| | - J Wilhelmy
- Department of Biochemistry, School of Medicine, Stanford University, Stanford, CA 94304
| | - R W Davis
- Stanford Genome Technology Center, Stanford University, Stanford, CA 94304;
- Department of Biochemistry, School of Medicine, Stanford University, Stanford, CA 94304
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Arrabito G, Errico V, De Ninno A, Cavaleri F, Ferrara V, Pignataro B, Caselli F. Oil-in-Water fL Droplets by Interfacial Spontaneous Fragmentation and Their Electrical Characterization. LANGMUIR : THE ACS JOURNAL OF SURFACES AND COLLOIDS 2019; 35:4936-4945. [PMID: 30875226 DOI: 10.1021/acs.langmuir.8b04316] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
Inkjet printing is here employed for the first time as a method to produce femtoliter-scale oil droplets dispersed in water. In particular, picoliter-scale fluorinated oil (FC40) droplets are printed in the presence of perfluoro-1-octanol surfactant at a velocity higher than 5 m/s. Femtoliter-scale oil droplets in water are spontaneously formed through a fragmentation process at the water/air interface using minute amounts of nonionic surfactant (down to 0.003% v/v of Tween 80). This fragmentation occurs by a Plateau-Rayleigh mechanism at a moderately high Weber number (101). A microfluidic chip with integrated microelectrodes allows droplets characterization in terms of number and diameter distribution (peaked at about 3 μm) by means of electrical impedance measurements. These results show an unprecedented possibility to scale oil droplets down to the femtoliter scale, which opens up several perspectives for a tailored oil-in-water emulsion fabrication for drug encapsulation, pharmaceutic preparations, and cellular biology.
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Affiliation(s)
- Giuseppe Arrabito
- Department of Physics and Chemistry , University of Palermo , Palermo 90128 , Italy
| | | | - Adele De Ninno
- Institute for Photonics and Nanotechnologies , Italian National Research Council , Roma 00185 , Italy
| | - Felicia Cavaleri
- Department of Physics and Chemistry , University of Palermo , Palermo 90128 , Italy
| | - Vittorio Ferrara
- Department of Chemical Sciences , University of Catania , Catania 95125 , Italy
| | - Bruno Pignataro
- Department of Physics and Chemistry , University of Palermo , Palermo 90128 , Italy
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Electrical Impedance Spectroscopy for Detection of Cells in Suspensions Using Microfluidic Device with Integrated Microneedles. APPLIED SCIENCES-BASEL 2017. [DOI: 10.3390/app7020170] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Modeling of Integrated Nanoneedle-Microfluidic System for Single Cell Temperature Measurement. APPLIED SCIENCES-BASEL 2016. [DOI: 10.3390/app6120339] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Lab-on-chip cytometry based on magnetoresistive sensors for bacteria detection in milk. SENSORS 2014; 14:15496-524. [PMID: 25196163 PMCID: PMC4179045 DOI: 10.3390/s140815496] [Citation(s) in RCA: 50] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/23/2014] [Revised: 07/14/2014] [Accepted: 08/01/2014] [Indexed: 12/11/2022]
Abstract
Flow cytometers have been optimized for use in portable platforms, where cell separation, identification and counting can be achieved in a compact and modular format. This feature can be combined with magnetic detection, where magnetoresistive sensors can be integrated within microfluidic channels to detect magnetically labelled cells. This work describes a platform for in-flow detection of magnetically labelled cells with a magneto-resistive based cell cytometer. In particular, we present an example for the validation of the platform as a magnetic counter that identifies and quantifies Streptococcus agalactiae in milk.
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Javanmard M, Emaminejad S, Gupta C, Provine J, Davis R, Howe R. Depletion of cells and abundant proteins from biological samples by enhanced dielectrophoresis. SENSORS AND ACTUATORS. B, CHEMICAL 2014; 193:918-924. [PMID: 26924893 PMCID: PMC4765371 DOI: 10.1016/j.snb.2013.11.100] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
Platforms that are sensitive and specific enough to assay low-abundance protein biomarkers, in a high throughput multiplex format, within a complex biological fluid specimen, are necessary to enable protein biomarker based diagnostics for diseases such as cancer. The signal from an assay for a low-abundance protein biomarker in a biological fluid sample like blood is typically buried in a background that arises from the presence of blood cells and from high-abundance proteins that make up 90% of the assayed protein mass. We present an automated on-chip platform for the depletion of cells and highly abundant serum proteins in blood. Our platform consists of two components, the first of which is a microfluidic mixer that mixes beads containing antibodies against the highly abundant proteins in the whole blood. This complex mixture (consisting of beads, cells, and serum proteins) is then injected into the second component of our microfluidic platform, which comprises a filter trench to capture all the cells and the beads. The size-based trapping of the cells and beads into the filter trench is significantly enhanced by leveraging additional negative dielectrophoretic forces to push the micron sized particles (cells and beads which have captured the highly abundant proteins) down into the trench, allowing the serum proteins of lower abundance to flow through. In general, dielectrophoresis using bare electrodes is incapable of producing forces beyond the low piconewton range that tend to be insufficient for separation applications. However, by using electrodes passivated with atomic layer deposition, we demonstrate the application of enhanced negative DEP electrodes together with size-based flltration induced by the filter trench, to deplete 100% of the micron sized particles in the mixture.
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Affiliation(s)
- M. Javanmard
- Stanford Genome Technology Center, Stanford University, Stanford, CA, USA
| | - S. Emaminejad
- Stanford Genome Technology Center, Stanford University, Stanford, CA, USA
- Electrical Engineering Department, Stanford University, Stanford, CA, USA
| | - C. Gupta
- Electrical Engineering Department, Stanford University, Stanford, CA, USA
| | - J. Provine
- Electrical Engineering Department, Stanford University, Stanford, CA, USA
| | - R.W. Davis
- Stanford Genome Technology Center, Stanford University, Stanford, CA, USA
| | - R.T. Howe
- Electrical Engineering Department, Stanford University, Stanford, CA, USA
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