1
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Ashley BK, Sui J, Javanmard M, Hassan U. Multi-modal sensing with integrated machine learning to differentiate specific leukocytes targeted by electrically sensitive hybrid particles. Biosens Bioelectron 2023; 241:115661. [PMID: 37690356 DOI: 10.1016/j.bios.2023.115661] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Revised: 08/29/2023] [Accepted: 08/31/2023] [Indexed: 09/12/2023]
Abstract
The growing need for personalized, accurate, and non-invasive diagnostic technology has resulted in significant advancements, from pushing current mechanistic limitations to innovative modality developments across various disease-related biomarkers. However, there still lacks clinical solutions for analyzing multiple biomarkers simultaneously, limiting prognosis for patients suffering with complicated diseases or comorbidities. Here, we conceived, fabricated, and validated a multifrequency impedance cytometry apparatus with novel frequency-sensitive barcoded metal oxide Janus particles (MOJPs) as cell-receptor targeting agents. These microparticles are modulated by a metal oxide semi-coating which exhibit electrical property changes in a multifrequency electric field and are functionalized to target CD11b and CD66b membrane proteins on neutrophils. A multi-modal system utilizing supervised machine learning and simultaneous high-speed video microscopy classifies immune-specific surface receptors targeted by MOJPs as they form neutrophil-MOJP conjugates, based on multivariate multifrequency electrical recordings. High precision and sensitivity were determined based on the type of MOJPs conjugated with cells (>90% accuracy between neutrophil-MOJP conjugates versus cells alone). Remarkably, the design could differentiate the number of MOJPs conjugated per cell within the same MOJP class (>80% accuracy); which also improved comparing electrical responses across different MOJP types (>75% accuracy) as well. Such trends were consistent in individual blood samples and comparing consolidated data across multiple samples, demonstrating design robustness. The configuration may further expand to include more MOJP types targeting critical biomarker receptors in one sample and increase the modality's multiplexing potential.
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Affiliation(s)
- Brandon K Ashley
- Department of Biomedical Engineering, Rutgers, the State University of New Jersey, Piscataway, NJ, 08854, USA
| | - Jianye Sui
- Department of Electrical and Computer Engineering, Rutgers, the State University of New Jersey, Piscataway, NJ, 08854, USA
| | - Mehdi Javanmard
- Department of Biomedical Engineering, Rutgers, the State University of New Jersey, Piscataway, NJ, 08854, USA; Department of Electrical and Computer Engineering, Rutgers, the State University of New Jersey, Piscataway, NJ, 08854, USA
| | - Umer Hassan
- Department of Biomedical Engineering, Rutgers, the State University of New Jersey, Piscataway, NJ, 08854, USA; Department of Electrical and Computer Engineering, Rutgers, the State University of New Jersey, Piscataway, NJ, 08854, USA; Global Health Institute, Rutgers, the State University of New Jersey, New Brunswick, NJ, 08901, USA.
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2
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Jacinto C, Maza Mejía I, Khan S, López R, Sotomayor MDPT, Picasso G. Using a Smartphone-Based Colorimetric Device with Molecularly Imprinted Polymer for the Quantification of Tartrazine in Soda Drinks. BIOSENSORS 2023; 13:639. [PMID: 37367004 DOI: 10.3390/bios13060639] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 06/05/2023] [Accepted: 06/06/2023] [Indexed: 06/28/2023]
Abstract
The present study reports the development and application of a rapid, low-cost in-situ method for the quantification of tartrazine in carbonated beverages using a smartphone-based colorimetric device with molecularly imprinted polymer (MIP). The MIP was synthesized using the free radical precipitation method with acrylamide (AC) as the functional monomer, N,N'-methylenebisacrylamide (NMBA) as the cross linker, and potassium persulfate (KPS) as radical initiator. The smartphone (RadesPhone)-operated rapid analysis device proposed in this study has dimensions of 10 × 10 × 15 cm and is illuminated internally by light emitting diode (LED) lights with intensity of 170 lux. The analytical methodology involved the use of a smartphone camera to capture images of MIP at various tartrazine concentrations, and the subsequent application of the Image-J software to calculate the red, green, blue (RGB) color values and hue, saturation, value (HSV) values from these images. A multivariate calibration analysis of tartrazine in the range of 0 to 30 mg/L was performed, and the optimum working range was determined to be 0 to 20 mg/L using five principal components and a limit of detection (LOD) of 1.2 mg/L was obtained. Repeatability analysis of tartrazine solutions with concentrations of 4, 8, and 15 mg/L (n = 10) showed a coefficient of variation (% RSD) of less than 6%. The proposed technique was applied to the analysis of five Peruvian soda drinks and the results were compared with the UHPLC reference method. The proposed technique showed a relative error between 6% and 16% and % RSD lower than 6.3%. The results of this study demonstrate that the smartphone-based device is a suitable analytical tool that offers an on-site, cost-effective, and rapid alternative for the quantification of tartrazine in soda drinks. This color analysis device can be used in other molecularly imprinted polymer systems and offers a wide range of possibilities for the detection and quantification of compounds in various industrial and environmental matrices that generate a color change in the MIP matrix.
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Affiliation(s)
- Christian Jacinto
- Laboratory of Instrumental Analysis Environment, Faculty of Sciences, National University of Engineering, Av. Tupac Amaru 210, Rimac 15333, Lima, Peru
- Technology of Materials for Environmental Remediation Group (TecMARA), Faculty of Sciences, National University of Engineering, Av. Tupac Amaru 210, Rimac 15333, Lima, Peru
| | - Ily Maza Mejía
- Laboratory of Instrumental Analysis Environment, Faculty of Sciences, National University of Engineering, Av. Tupac Amaru 210, Rimac 15333, Lima, Peru
- Technology of Materials for Environmental Remediation Group (TecMARA), Faculty of Sciences, National University of Engineering, Av. Tupac Amaru 210, Rimac 15333, Lima, Peru
| | - Sabir Khan
- Laboratory of Instrumental Analysis Environment, Faculty of Sciences, National University of Engineering, Av. Tupac Amaru 210, Rimac 15333, Lima, Peru
- Technology of Materials for Environmental Remediation Group (TecMARA), Faculty of Sciences, National University of Engineering, Av. Tupac Amaru 210, Rimac 15333, Lima, Peru
- Chemistry Institute-Araraquara-SP, São Paulo State University (UNESP), Araraquara 14801-900, Brazil
- Department of Natural Sciences, Mathematics, and Statistics, Federal Rural University of the Semi-Arid, Mossoro 59625-900, Brazil
| | - Rosario López
- Laboratory of Instrumental Analysis Environment, Faculty of Sciences, National University of Engineering, Av. Tupac Amaru 210, Rimac 15333, Lima, Peru
- Technology of Materials for Environmental Remediation Group (TecMARA), Faculty of Sciences, National University of Engineering, Av. Tupac Amaru 210, Rimac 15333, Lima, Peru
| | - Maria D P T Sotomayor
- Chemistry Institute-Araraquara-SP, São Paulo State University (UNESP), Araraquara 14801-900, Brazil
| | - Gino Picasso
- Technology of Materials for Environmental Remediation Group (TecMARA), Faculty of Sciences, National University of Engineering, Av. Tupac Amaru 210, Rimac 15333, Lima, Peru
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3
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Safir F, Vu N, Tadesse LF, Firouzi K, Banaei N, Jeffrey SS, Saleh AAE, Khuri-Yakub B(P, Dionne JA. Combining Acoustic Bioprinting with AI-Assisted Raman Spectroscopy for High-Throughput Identification of Bacteria in Blood. NANO LETTERS 2023; 23:2065-2073. [PMID: 36856600 PMCID: PMC10037319 DOI: 10.1021/acs.nanolett.2c03015] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/31/2022] [Revised: 02/19/2023] [Indexed: 06/18/2023]
Abstract
Identifying pathogens in complex samples such as blood, urine, and wastewater is critical to detect infection and inform optimal treatment. Surface-enhanced Raman spectroscopy (SERS) and machine learning (ML) can distinguish among multiple pathogen species, but processing complex fluid samples to sensitively and specifically detect pathogens remains an outstanding challenge. Here, we develop an acoustic bioprinter to digitize samples into millions of droplets, each containing just a few cells, which are identified with SERS and ML. We demonstrate rapid printing of 2 pL droplets from solutions containing S. epidermidis, E. coli, and blood; when they are mixed with gold nanorods (GNRs), SERS enhancements of up to 1500× are achieved.We then train a ML model and achieve ≥99% classification accuracy from cellularly pure samples and ≥87% accuracy from cellularly mixed samples. We also obtain ≥90% accuracy from droplets with pathogen:blood cell ratios <1. Our combined bioprinting and SERS platform could accelerate rapid, sensitive pathogen detection in clinical, environmental, and industrial settings.
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Affiliation(s)
- Fareeha Safir
- *Department
of Mechanical Engineering, Stanford University, Stanford, California 94305, United States
| | - Nhat Vu
- Pumpkinseed
Technologies, Inc., Palo Alto, California 94306, United States
| | - Loza F. Tadesse
- Department
of Bioengineering, Stanford University School
of Medicine and School of Engineering, Stanford, California 94305, United States
| | - Kamyar Firouzi
- E.
L. Ginzton Laboratory, Stanford University, Stanford, California 94305, United States
| | - Niaz Banaei
- Department
of Pathology, Stanford University School
of Medicine, Stanford, 94305 California, United
States
- Clinical
Microbiology Laboratory, Stanford Health Care, Palo Alto, California 94304, United States
- Department
of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, California 94305, United States
| | - Stefanie S. Jeffrey
- Department
of Surgery, Stanford University School of
Medicine, Stanford, California 94305, United States
| | - Amr. A. E. Saleh
- Department
of Engineering Mathematics and Physics, Cairo University, Cairo 12613, Egypt
- Department
of Materials Science and Engineering, Stanford
University, Stanford, California 94305, United States
| | - Butrus (Pierre)
T. Khuri-Yakub
- E.
L. Ginzton Laboratory, Stanford University, Stanford, California 94305, United States
- Department
of Electrical Engineering, Stanford University, Stanford, California 94305, United States
| | - Jennifer A. Dionne
- Department
of Materials Science and Engineering, Stanford
University, Stanford, California 94305, United States
- Department
of Radiology, Molecular Imaging Program at Stanford (MIPS), Stanford University School of Medicine, Stanford, California 94035, United States
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4
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Ashley BK, Hassan U. Digital filtering dissemination for optimizing impedance cytometry signal quality and counting accuracy. Biomed Microdevices 2022; 24:36. [PMID: 36305954 PMCID: PMC9635870 DOI: 10.1007/s10544-022-00636-w] [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] [Accepted: 10/04/2022] [Indexed: 11/29/2022]
Abstract
Improving biosensor performance which utilize impedance cytometry is a highly interested research topic for many clinical and diagnostic settings. During development, a sensor's design and external factors are rigorously optimized, but improvements in signal quality and interpretation are usually still necessary to produce a sensitive and accurate product. A common solution involves digital signal processing after sample analysis, but these methods frequently fall short in providing meaningful signal outcome changes. This shortcoming may arise from a lack of investigative research into selecting and using signal processing functions, as many choices in current sensors are based on either theoretical results or estimated hypotheses. While a ubiquitous condition set is improbable across diverse impedance cytometry designs, there lies a need for a streamlined and rapid analytical method for discovering those conditions for unique sensors. Herein, we present a comprehensive dissemination of digital filtering parameters applied on experimental impedance cytometry data for determining the limits of signal processing on signal quality improvements. Various filter orders, cutoff frequencies, and filter types are applied after data collection for highest achievable noise reduction. After designing and fabricating a microfluidic impedance cytometer, 9 µm polystyrene particles were measured under flow and signal quality improved by 6.09 dB when implementing digital filtering. This approached was then translated to isolated human neutrophils, where similarly, signal quality improved by 7.50 dB compared to its unfiltered original data. By sweeping all filtering conditions and devising a system to evaluate filtering performance both by signal quality and object counting accuracy, this may serve as a framework for future systems to determine their appropriately optimized filtering configuration.
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Affiliation(s)
- Brandon K Ashley
- Department of Biomedical Engineering, Rutgers, the State University of New Jersey, Piscataway, NJ, 08854, USA
| | - Umer Hassan
- Department of Electrical Engineering, Department of Biomedical Engineering, and Global Health Institute Rutgers, the State University of New Jersey, Piscataway, NJ, 08854, USA.
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5
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Solanki R, Patra I, Kumar TCA, Kumar NB, Kandeel M, Sivaraman R, Turki Jalil A, Yasin G, Sharma S, Abdulameer Marhoon H. Smartphone-Based Techniques Using Carbon Dot Nanomaterials for Food Safety Analysis. Crit Rev Anal Chem 2022:1-19. [PMID: 35857650 DOI: 10.1080/10408347.2022.2099733] [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: 10/17/2022]
Abstract
The development of portable and efficient nanoprobes to realize the quantitative/qualitative onsite determination of food pollutants is of immense importance for safeguarding human health and food safety. With the advent of the smartphone, the digital imaging property causes it to be an ideal diagnostic substrate to point-of-care analysis probes. Besides, merging the versatility of carbon dots nanostructures and bioreceptor abilities has opened an innovative assortment of construction blocks to design advanced nanoprobes or improving those existing ones. On this ground, massive endeavors have been made to combine mobile phones with smart nanomaterials to produce portable (bio)sensors in a reliable, low cost, rapid, and even facile-to-implement area with inadequate resources. Herein, this work outlines the latest advancement of carbon dots nanostructures on smartphone for onsite detecting of agri-food pollutants. Particularly, we afford a summary of numerous approaches applied for target molecule diagnosis (pesticides, mycotoxins, pathogens, antibiotics, and metal ions), for instance microscopic imaging, fluorescence, colorimetric, and electrochemical techniques. Authors tried to list those scaffolds that are well-recognized in complex media or those using novel constructions/techniques. Lastly, we also point out some challenges and appealing prospects related to the enhancement of high-efficiency smartphone based carbon dots systems.
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Affiliation(s)
- Reena Solanki
- Department of Chemistry, Dr APJ Abdul Kalam University, Indore, India
| | | | - T Ch Anil Kumar
- Department of Mechanical Engineering, Vignan's Foundation for Science Technology and Research, Vadlamudi, India
| | - N Bharath Kumar
- Department of Electrical and Electronics Engineering, Vignan's Foundation for Science Technology and Research, Guntur, India
| | - Mahmoud Kandeel
- Department of Biomedical Sciences, College of Veterinary Medicine, King Faisal University, Al-Ahsa, Saudi Arabia
| | - R Sivaraman
- Department of Mathematics, Dwaraka Doss Goverdhan Doss Vaishnav College, University of Madras, Arumbakkam, Chennai, India
| | - Abduladheem Turki Jalil
- Medical Laboratories Techniques Department, Al-Mustaqbal University College, Babylon, Hilla, Iraq
| | - Ghulam Yasin
- Department of Botany, university of Bahauddin Zakariya, Multan, Pakistan
| | - Sandhir Sharma
- Chitkara Business School, Chitkara University, Punjab, India
| | - Haydar Abdulameer Marhoon
- Information and Communication Technology Research Group, Scientific Research Center, Al-Ayen University, Iraq
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6
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Szittner Z, Péter B, Kurunczi S, Székács I, Horváth R. Functional blood cell analysis by label-free biosensors and single-cell technologies. Adv Colloid Interface Sci 2022; 308:102727. [DOI: 10.1016/j.cis.2022.102727] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Revised: 05/25/2022] [Accepted: 06/27/2022] [Indexed: 11/01/2022]
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7
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Civelekoglu O, Wang N, Arifuzzman A, Boya M, Sarioglu AF. Automated lightless cytometry on a microchip with adaptive immunomagnetic manipulation. Biosens Bioelectron 2022; 203:114014. [DOI: 10.1016/j.bios.2022.114014] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2021] [Revised: 12/13/2021] [Accepted: 01/15/2022] [Indexed: 01/08/2023]
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8
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Intelligent biosensing strategies for rapid detection in food safety: A review. Biosens Bioelectron 2022; 202:114003. [DOI: 10.1016/j.bios.2022.114003] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Revised: 11/15/2021] [Accepted: 01/13/2022] [Indexed: 12/26/2022]
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9
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Hwang SH, Yang JJ, Oh YH, Ko DH, Sung H, Cho YU, Jang S, Park CJ, Oh HB. Microparticle-tagged image-based cell counting (ImmunoSpin) for CD4 + T cells. Mikrochim Acta 2021; 188:431. [PMID: 34822013 PMCID: PMC8616869 DOI: 10.1007/s00604-021-05070-y] [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: 06/08/2021] [Accepted: 10/15/2021] [Indexed: 11/25/2022]
Abstract
Affordable point-of-care (POC) CD4 + T lymphocyte counting techniques have been developed as alternatives to flow cytometry-based instruments caring for patients with human immunodeficiency virus (HIV)-1. However, POC CD4 enumeration technologies can be inaccurate. Here, we developed a microparticle-based visual detector of CD4 + T lymphocytes (ImmunoSpin) using microparticles conjugated with anti-CD4 antibodies, independent of microfluidic or fluorescence detection systems. Visual enumeration of CD4 + T cells under conventional light microscope was accurate compared to flow cytometry. Microparticle-tagged CD4 + T cells were well-recognized under a light microscope. ImmunoSpin showed very good precision (coefficients of variation of ImmunoSpin were ≤ 10%) and high correlation with clinical-grade flow cytometry for the enumeration of CD4 + T cells (y = 0.4232 + 0.9485 × for the %CD4 + T cell count, R2 = 0.99). At thresholds of 200 and 350 cells/µL, there was no misclassification of the ImmunoSpin system compared to the reference flow cytometry. ImmunoSpin showed clear differential classification of CD4 + T lymphocytes from granulocytes and monocytes. Because non-fluorescence microparticle-tags and cytospin slides are used in ImmunoSpin, they can be applied to an automatic digital image analyzer. Slide preparation allows long-term storage, no analysis time limitations, and image transfer in remote areas.
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Affiliation(s)
- Sang-Hyun Hwang
- Department of Laboratory Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, 05505, Republic of Korea
- Asan Institute for Life Sciences, Asan Medical Center, University of Ulsan College of Medicine, Seoul, 05505, Republic of Korea
| | - John Jeongseok Yang
- Department of Laboratory Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, 05505, Republic of Korea
| | - Yoon-Hee Oh
- Department of Laboratory Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, 05505, Republic of Korea
| | - Dae-Hyun Ko
- Department of Laboratory Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, 05505, Republic of Korea
| | - Heungsup Sung
- Department of Laboratory Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, 05505, Republic of Korea
| | - Young-Uk Cho
- Department of Laboratory Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, 05505, Republic of Korea
| | - Seongsoo Jang
- Department of Laboratory Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, 05505, Republic of Korea
| | - Chan-Jeoung Park
- Department of Laboratory Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, 05505, Republic of Korea
| | - Heung-Bum Oh
- Department of Laboratory Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, 05505, Republic of Korea.
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10
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Chen X, Ning Y, Pan S, Liu B, Chang Y, Pang W, Duan X. Mixing during Trapping Enabled a Continuous-Flow Microfluidic Smartphone Immunoassay Using Acoustic Streaming. ACS Sens 2021; 6:2386-2394. [PMID: 34102847 DOI: 10.1021/acssensors.1c00602] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Smartphone-enabled microfluidic chemiluminescence immunoassay is a promising portable system for point-of-care (POC) biosensing applications. However, due to the rather faint emitted light in such a limited sample volume, it is still difficult to reach the clinically accepted range when the smartphone serves as a standalone detector. Besides, the multiple separation and washing steps during sample preparation hinder the immunoassay's applications for POC usage. Herein, we proposed a novel acoustic streaming tweezers-enabled microfluidic immunoassay, where the probe particles' purification, reaction, and sensing were simply achieved on the same chip at continuous-flow conditions. The dedicatedly designed high-speed microscale vortexes not only enable dynamic trapping and washing of the probe particles on-demand but also enhance the capture efficiency of the heterogeneous particle-based immunoassay through active mixing during trapping. The enriched probe particles and enhanced biomarker capture capability increase the local chemiluminescent light intensity and enable direct capture of the immunobinding signal by a regular smartphone camera. The system was tested for prostate-specific antigen (PSA) sensing both in buffer and serum, where a limit of detection of 0.2 ng/mL and a large dynamic response range from 0.3 to 10 ng/mL using only 10 μL of sample were achieved in a total assay time of less than 15 min. With the advantages of on-chip integration of sample preparation and detection and high sensing performance, the developed POC platform could be applied for many on-site diagnosis applications.
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Affiliation(s)
- Xian Chen
- State Key Laboratory of Precision Measuring Technology & Instruments and College of Precision Instrument and Opto-electronics Engineering, Tianjin University, Tianjin 300072, China
| | - Yuan Ning
- State Key Laboratory of Precision Measuring Technology & Instruments and College of Precision Instrument and Opto-electronics Engineering, Tianjin University, Tianjin 300072, China
| | - Shuting Pan
- State Key Laboratory of Precision Measuring Technology & Instruments and College of Precision Instrument and Opto-electronics Engineering, Tianjin University, Tianjin 300072, China
| | - Bohua Liu
- State Key Laboratory of Precision Measuring Technology & Instruments and College of Precision Instrument and Opto-electronics Engineering, Tianjin University, Tianjin 300072, China
| | - Ye Chang
- State Key Laboratory of Precision Measuring Technology & Instruments and College of Precision Instrument and Opto-electronics Engineering, Tianjin University, Tianjin 300072, China
| | - Wei Pang
- State Key Laboratory of Precision Measuring Technology & Instruments and College of Precision Instrument and Opto-electronics Engineering, Tianjin University, Tianjin 300072, China
| | - Xuexin Duan
- State Key Laboratory of Precision Measuring Technology & Instruments and College of Precision Instrument and Opto-electronics Engineering, Tianjin University, Tianjin 300072, China
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11
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Zhu S, Zhang X, Zhou Z, Han Y, Xiang N, Ni Z. Microfluidic impedance cytometry for single-cell sensing: Review on electrode configurations. Talanta 2021; 233:122571. [PMID: 34215067 DOI: 10.1016/j.talanta.2021.122571] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Revised: 05/25/2021] [Accepted: 05/27/2021] [Indexed: 10/21/2022]
Abstract
Single-cell analysis has gained considerable attention for disease diagnosis, drug screening, and differentiation monitoring. Compared to the well-established flow cytometry, which uses fluorescent-labeled antibodies, microfluidic impedance cytometry (MIC) offers a simple, label-free, and noninvasive method for counting, classifying, and monitoring cells. Superior features including a small footprint, low reagent consumption, and ease of use have also been reported. The MIC device detects changes in the impedance signal caused by cells passing through the sensing/electric field zone, which can extract information regarding the size, shape, and dielectric properties of these cells. According to recent studies, electrode configuration has a remarkable effect on detection accuracy, sensitivity, and throughput. With the improvement in microfabrication technology, various electrode configurations have been reported for improving detection accuracy and throughput. However, the various electrode configurations of MIC devices have not been reviewed. In this review, the theoretical background of the impedance technique for single-cell analysis is introduced. Then, two-dimensional, three-dimensional, and liquid electrode configurations are discussed separately; their sensing mechanisms, fabrication processes, advantages, disadvantages, and applications are also described in detail. Finally, the current limitations and future perspectives of these electrode configurations are summarized. The main aim of this review is to offer a guide for researchers on the ongoing advancement in electrode configuration designs.
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Affiliation(s)
- Shu Zhu
- School of Mechanical Engineering, And Jiangsu Key Laboratory for Design and Manufacture of Micro-Nano Biomedical Instruments, Southeast University, Nanjing, 211189, China
| | - Xiaozhe Zhang
- School of Mechanical Engineering, And Jiangsu Key Laboratory for Design and Manufacture of Micro-Nano Biomedical Instruments, Southeast University, Nanjing, 211189, China
| | - Zheng Zhou
- School of Mechanical Engineering, And Jiangsu Key Laboratory for Design and Manufacture of Micro-Nano Biomedical Instruments, Southeast University, Nanjing, 211189, China
| | - Yu Han
- School of Mechanical Engineering, And Jiangsu Key Laboratory for Design and Manufacture of Micro-Nano Biomedical Instruments, Southeast University, Nanjing, 211189, China
| | - Nan Xiang
- School of Mechanical Engineering, And Jiangsu Key Laboratory for Design and Manufacture of Micro-Nano Biomedical Instruments, Southeast University, Nanjing, 211189, China.
| | - Zhonghua Ni
- School of Mechanical Engineering, And Jiangsu Key Laboratory for Design and Manufacture of Micro-Nano Biomedical Instruments, Southeast University, Nanjing, 211189, China.
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12
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Huang L, Feng Y, Liang F, Zhao P, Wang W. Dual-fiber microfluidic chip for multimodal manipulation of single cells. BIOMICROFLUIDICS 2021; 15:014106. [PMID: 33537113 PMCID: PMC7846294 DOI: 10.1063/5.0039087] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Accepted: 01/05/2021] [Indexed: 05/22/2023]
Abstract
On-chip single-cell manipulation is imperative in cell biology and it is desirable for a microfluidic chip to have multimodal manipulation capability. Here, we embedded two counter-propagating optical fibers into the microfluidic chip and configured their relative position in space to produce different misalignments. By doing so, we demonstrated multimodal manipulation of single cells, including capture, stretching, translation, orbital revolution, and spin rotation. The rotational manipulation can be in-plane or out-of-plane, providing flexibility and capability to observe the cells from different angles. Based on out-of-plane rotation, we performed a 3D reconstruction of cell morphology and extracted its five geometric parameters as biophysical features. We envision that this type of microfluidic chip configured with dual optical fibers can be helpful in manipulating cells as the upstream process of single-cell analysis.
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Affiliation(s)
| | - Yongxiang Feng
- Department of Precision Instrument, State Key Laboratory of Precision Measurement Technology and Instrument, Tsinghua University, Beijing 100084, China
| | - Fei Liang
- Department of Precision Instrument, State Key Laboratory of Precision Measurement Technology and Instrument, Tsinghua University, Beijing 100084, China
| | - Peng Zhao
- Department of Precision Instrument, State Key Laboratory of Precision Measurement Technology and Instrument, Tsinghua University, Beijing 100084, China
| | - Wenhui Wang
- Department of Precision Instrument, State Key Laboratory of Precision Measurement Technology and Instrument, Tsinghua University, Beijing 100084, China
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13
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Ning B, Yu T, Zhang S, Huang Z, Tian D, Lin Z, Niu A, Golden N, Hensley K, Threeton B, Lyon CJ, Yin XM, Roy CJ, Saba NS, Rappaport J, Wei Q, Hu TY. A smartphone-read ultrasensitive and quantitative saliva test for COVID-19. SCIENCE ADVANCES 2021; 7:eabe3703. [PMID: 33310733 PMCID: PMC7793573 DOI: 10.1126/sciadv.abe3703] [Citation(s) in RCA: 141] [Impact Index Per Article: 47.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/17/2020] [Accepted: 11/18/2020] [Indexed: 05/19/2023]
Abstract
Point-of-care COVID-19 assays that are more sensitive than the current RT-PCR (reverse transcription polymerase chain reaction) gold standard assay are needed to improve disease control efforts. We describe the development of a portable, ultrasensitive saliva-based COVID-19 assay with a 15-min sample-to-answer time that does not require RNA isolation or laboratory equipment. This assay uses CRISPR-Cas12a activity to enhance viral amplicon signal, which is stimulated by the laser diode of a smartphone-based fluorescence microscope device. This device robustly quantified viral load over a broad linear range (1 to 105 copies/μl) and exhibited a limit of detection (0.38 copies/μl) below that of the RT-PCR reference assay. CRISPR-read SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) RNA levels were similar in patient saliva and nasal swabs, and viral loads measured by RT-PCR and the smartphone-read CRISPR assay demonstrated good correlation, supporting the potential use of this portable assay for saliva-based point-of-care COVID-19 diagnosis.
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Affiliation(s)
- Bo Ning
- Center for Cellular and Molecular Diagnostics, Tulane University School of Medicine, 1430 Tulane Ave., New Orleans, LA 70112, USA
- Department of Biochemistry and Molecular Biology, Tulane University School of Medicine, 1430 Tulane Ave., New Orleans, LA 70112, USA
| | - Tao Yu
- Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC 27606, USA
| | - Shengwei Zhang
- Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC 27606, USA
| | - Zhen Huang
- Center for Cellular and Molecular Diagnostics, Tulane University School of Medicine, 1430 Tulane Ave., New Orleans, LA 70112, USA
- Department of Biochemistry and Molecular Biology, Tulane University School of Medicine, 1430 Tulane Ave., New Orleans, LA 70112, USA
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, China
| | - Di Tian
- Department of Pathology and Laboratory Medicine, Tulane University School of Medicine, 1430 Tulane Ave., New Orleans, LA 70112, USA
| | - Zhen Lin
- Department of Pathology and Laboratory Medicine, Tulane University School of Medicine, 1430 Tulane Ave., New Orleans, LA 70112, USA
| | - Alex Niu
- Section of Hematology and Medical Oncology, Deming Department of Medicine, Tulane University, New Orleans, LA 70112, USA
| | - Nadia Golden
- Tuberculosis Research Performance Core, Tulane National Primate Research Center, Covington, LA 70433, USA
- High Containment Research Performance Core, Tulane National Primate Research Center, Covington, LA 70433, USA
| | - Krystle Hensley
- High Containment Research Performance Core, Tulane National Primate Research Center, Covington, LA 70433, USA
| | - Breanna Threeton
- Tuberculosis Research Performance Core, Tulane National Primate Research Center, Covington, LA 70433, USA
| | - Christopher J Lyon
- Center for Cellular and Molecular Diagnostics, Tulane University School of Medicine, 1430 Tulane Ave., New Orleans, LA 70112, USA
- Department of Biochemistry and Molecular Biology, Tulane University School of Medicine, 1430 Tulane Ave., New Orleans, LA 70112, USA
| | - Xiao-Ming Yin
- Department of Pathology and Laboratory Medicine, Tulane University School of Medicine, 1430 Tulane Ave., New Orleans, LA 70112, USA
| | - Chad J Roy
- Tulane School of Medicine, Tulane National Primate Research Center, New Orleans, LA 70112, USA
| | - Nakhle S Saba
- Section of Hematology and Medical Oncology, Deming Department of Medicine, Tulane University, New Orleans, LA 70112, USA
| | - Jay Rappaport
- Tuberculosis Research Performance Core, Tulane National Primate Research Center, Covington, LA 70433, USA
- High Containment Research Performance Core, Tulane National Primate Research Center, Covington, LA 70433, USA
- Tulane School of Medicine, Tulane National Primate Research Center, New Orleans, LA 70112, USA
| | - Qingshan Wei
- Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC 27606, USA
| | - Tony Y Hu
- Center for Cellular and Molecular Diagnostics, Tulane University School of Medicine, 1430 Tulane Ave., New Orleans, LA 70112, USA.
- Department of Biochemistry and Molecular Biology, Tulane University School of Medicine, 1430 Tulane Ave., New Orleans, LA 70112, USA
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Chen X, Liu B, Pang W, Duan X. Smartphone-enabled Dynamic Chemiluminescence Biomarker Quantitation Using Acoustic Tweezers Approach .. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2020; 2020:5041-5044. [PMID: 33019119 DOI: 10.1109/embc44109.2020.9176259] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
Quantitation of protein biomarker featured with portability, rapidity, high sensitivity is critical for the point-of-care testing (POCT) application. Herein, a novel smartphone-enabled microfluidic chemiluminescence platform for the quantitation of prostate specific antigen (PSA) was proposed based on acoustic tweezers approach. The primary antibodies labeled polystyrene microparticles (Ab1-PSs), target samples, the horseradish peroxidase labeled secondary antibodies (Ab2-HRP) were injected into the microfluidics simultaneously. Under the actuation of Lamb Wave Resonator (LWR), they were dynamically trapped and concentrated in the acoustic streaming; meanwhile, the biomolecular binding was enhanced. After the injection of chemiluminescent substrate, the concentrated immuno-particles catalyzed hydrogen peroxide (H2O2) reaction so that the emitted blue light was directly captured by smartphone. Besides, the flow rate and the applied power of LWR were optimized for the signal amplification. The chemiluminescence immunoassay exhibited a dynamic linear range from 0.5 ng/mL to 10 ng/mL with a limit of detection of 0.1 ng/mL in PBS buffer. The portable immunosensor will be utilized for the quantitation of PSA in serum samples to demonstrate the clinical significance.Clinical Relevance-The smartphone-enabled detection platform realizes the quantitation of biomarker within 10 min, which reveals a valuable potential tool for the early diagnosis of various diseases, even in resource-limited regions.
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15
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Paul R, Zhou Y, Nikfar M, Razizadeh M, Liu Y. Quantitative absorption imaging of red blood cells to determine physical and mechanical properties. RSC Adv 2020; 10:38923-38936. [PMID: 33240491 PMCID: PMC7685304 DOI: 10.1039/d0ra05421f] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
Red blood cells or erythrocytes, constituting 40 to 45 percent of the total volume of human blood are vesicles filled with hemoglobin with a fluid-like lipid bilayer membrane connected to a 2D spectrin network. The shape, volume, hemoglobin mass, and membrane stiffness of RBCs are important characteristics that influence their ability to circulate through the body and transport oxygen to tissues. In this study, we show that a simple two-LED set up in conjunction with standard microscope imaging can accurately determine the physical and mechanical properties of single RBCs. The Beer–Lambert law and undulatory motion dynamics of the membrane have been used to measure the total volume, hemoglobin mass, membrane tension coefficient, and bending modulus of RBCs. We also show that this method is sensitive enough to distinguish between the mechanical properties of RBCs during morphological changes from a typical discocyte to echinocytes and spherocytes. Measured values of the tension coefficient and bending modulus are 1.27 × 10−6 J m−2 and 7.09 × 10−20 J for discocytes, 4.80 × 10−6 J m−2 and 7.70 × 10−20 J for echinocytes, and 9.85 × 10−6 J m−2 and 9.69 × 10−20 J for spherocytes, respectively. This quantitative light absorption imaging reduces the complexity related to the quantitative imaging of the biophysical and mechanical properties of a single RBC that may lead to enhanced yet simplified point of care devices for analyzing blood cells. The constant thickness in the microfluidic channel is used for controlled absorption of red and blue light to measure red blood cell hemoglobin and height mapping. High speed recording of the height mapping provides us the membrane fluctuation.![]()
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Affiliation(s)
- Ratul Paul
- Department of Mechanical Engineering and Mechanics, Lehigh University, Bethlehem, Pennsylvania 18015, USA
| | - Yuyuan Zhou
- Department of Bioengineering, Lehigh University, Bethlehem, Pennsylvania 18015, USA
| | - Mehdi Nikfar
- Department of Mechanical Engineering and Mechanics, Lehigh University, Bethlehem, Pennsylvania 18015, USA
| | - Meghdad Razizadeh
- Department of Mechanical Engineering and Mechanics, Lehigh University, Bethlehem, Pennsylvania 18015, USA
| | - Yaling Liu
- Department of Mechanical Engineering and Mechanics, Lehigh University, Bethlehem, Pennsylvania 18015, USA.,Department of Bioengineering, Lehigh University, Bethlehem, Pennsylvania 18015, USA
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16
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Liu C, Pang W, Duan X, Wang Y. Dual Functions of Ghz Frequency Acoustic Resonator System for Biosamples Capture and Sensing. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2020; 2020:3994-3997. [PMID: 33018875 DOI: 10.1109/embc44109.2020.9176604] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
This work reports a novel acoustic resonator system integrated dual functions of biological samples capture and amount monitoring on a single chip. The system could capture samples from nano-sized proteins to micro-sized cells on micro-sized chip precisely with controllable concentration, meanwhile the high sensitivity mass sensing was achieved during the capture process. The devices were further applied to study the cell growth and cytotoxicity. Results indicated that it was possible to capture and monitor the physiological changes in a single cell level. This work explores a new opportunity on the development of miniaturized multiplex biosensing devices on a single chip.
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17
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Han Z, Chen L, Zhang S, Wang J, Duan X. Label-Free and Simultaneous Mechanical and Electrical Characterization of Single Plant Cells Using Microfluidic Impedance Flow Cytometry. Anal Chem 2020; 92:14568-14575. [DOI: 10.1021/acs.analchem.0c02854] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Affiliation(s)
- Ziyu Han
- State Key Laboratory of Precision Measuring Technology and Instruments, College of Precision Instrument and Opto-electronics Engineering, Tianjin University, Tianjin 300072, China
| | - Lincai Chen
- School of Environmental Science and Engineering, Tianjin University, Tianjin 300072, China
| | - Shuaihua Zhang
- State Key Laboratory of Precision Measuring Technology and Instruments, College of Precision Instrument and Opto-electronics Engineering, Tianjin University, Tianjin 300072, China
| | - Jiehua Wang
- School of Environmental Science and Engineering, Tianjin University, Tianjin 300072, China
| | - Xuexin Duan
- State Key Laboratory of Precision Measuring Technology and Instruments, College of Precision Instrument and Opto-electronics Engineering, Tianjin University, Tianjin 300072, China
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18
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Guan W. Foreword to the special issue on micro/nano biosensors. NANOTECHNOLOGY AND PRECISION ENGINEERING 2020. [DOI: 10.1016/j.npe.2020.02.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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19
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Qureshi A, Niazi JH. Biosensors for detecting viral and bacterial infections using host biomarkers: a review. Analyst 2020; 145:7825-7848. [DOI: 10.1039/d0an00896f] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
A schematic diagram showing multiple modes of biosensing platforms for the diagnosis of bacterial or viral infections.
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Affiliation(s)
- Anjum Qureshi
- Sabanci University
- SUNUM Nanotechnology Research and Application Center
- Tuzla 34956
- Turkey
| | - Javed H. Niazi
- Sabanci University
- SUNUM Nanotechnology Research and Application Center
- Tuzla 34956
- Turkey
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