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Zhang H, Gupte R, Li Y, Huang C, Guzman AR, Han JJ, Jung H, Sabnis R, de Figueiredo P, Han A. NOVAsort for error-free droplet microfluidics. Nat Commun 2024; 15:9444. [PMID: 39487108 PMCID: PMC11530522 DOI: 10.1038/s41467-024-52932-z] [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] [Received: 04/01/2024] [Accepted: 09/25/2024] [Indexed: 11/04/2024] Open
Abstract
High-throughput screening techniques are pivotal to unlocking the mysteries of biology. Yet, the promise of droplet microfluidics in enabling single-cell resolution, ultra-high-throughput screening remains largely unfulfilled. Droplet sorting errors caused by polydisperse droplet sizes that are often inevitable in multi-step assays have severely limited the effectiveness and utility of this technique, especially when screening large libraries. Even a relatively low 1% sorting error results in 10,000 false calls in a 1,000,000 droplet screen, imposing an unreasonably large burden on downstream validation. Here, we present NOVAsort (Next-generation Opto-Volume-based Accurate droplet sorter), a device capable of discerning droplets based on both size and fluorescence intensity. With a 1000- and 10,000-fold reduction in false positives and false negatives, respectively. NOVAsort addresses the challenges of conventional droplet sorting approaches and sets standards for accuracy and throughput in droplet microfluidic assays.
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Affiliation(s)
- Han Zhang
- Department of Electrical and Computer Engineering, Texas A&M University, College Station, Texas, 77843, USA
| | - Rohit Gupte
- Department of Biomedical Engineering, Texas A&M University, College Station, TX, 77843, USA
| | - Yuwen Li
- Department of Electrical and Computer Engineering, Texas A&M University, College Station, Texas, 77843, USA
| | - Can Huang
- Department of Electrical and Computer Engineering, Texas A&M University, College Station, Texas, 77843, USA
| | - Adrian R Guzman
- Department of Electrical and Computer Engineering, Texas A&M University, College Station, Texas, 77843, USA
| | - Jeong Jae Han
- Department of Multidisciplinary Engineering, Texas A&M University, College Station, TX, 77843, USA
| | - Haemin Jung
- Department of Electrical and Computer Engineering, Texas A&M University, College Station, Texas, 77843, USA
| | - Rushant Sabnis
- Department of Chemical Engineering, Texas A&M University, College Station, TX, 77843, USA
| | - Paul de Figueiredo
- Christopher S. Bond Life Science Center, University of Missouri, Columbia, MO, 65211, USA
- Department of Molecular Microbiology and Immunology, School of Medicine, University of Missouri, Columbia, MO, 65212, USA
- Department of Veterinary Pathobiology, University of Missouri, Columbia, MO, 65211, USA
| | - Arum Han
- Department of Electrical and Computer Engineering, Texas A&M University, College Station, Texas, 77843, USA.
- Department of Biomedical Engineering, Texas A&M University, College Station, TX, 77843, USA.
- Department of Chemical Engineering, Texas A&M University, College Station, TX, 77843, USA.
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Liang M, Liang L, Tayebi M, Zhong J, Ai Y. Lab-In-Fiber Optofluidic Device for Droplet Digital Polymerase Chain Reaction (DdPCR) with Real-Time Monitoring. ACS Sens 2024; 9:5275-5283. [PMID: 39321112 DOI: 10.1021/acssensors.4c01467] [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] [Indexed: 09/27/2024]
Abstract
Droplet microfluidic systems have emerged as indispensable and advanced tools in contemporary biological science. A prominent example is the droplet digital polymerase chain reaction (ddPCR), which plays a pivotal role in next-generation sequencing and the detection of rare nucleic acids or mutations. However, existing optical detection configurations are bulky, intricate, and costly, and require meticulous optical alignment to optimize fluorescence sensing. Herein, we propose a lab-in-fiber optofluidic system (LiFO), which provides a stable and compact footprint, self-alignment, and enhanced optical coupling for high-accuracy ddPCR. Moreover, LiFO could expand its capabilities for multiangle-scattering light collection in which we collect focused forward-scattering light (fFSL) to enable real-time droplet counting and size monitoring. To accomplish these attributes, LiFO incorporates optical fibers, along with fabricated PDMS grooves, for a self-aligned optical setup to implement simultaneous fluorescence and scattering detection. Furthermore, LiFO harnesses the concept of flowing droplets functioning as microlenses, which allows us to collect and translate fFSL signals into droplet size information. We have demonstrated the effectiveness of LiFO in ddPCR applications, illustrating its capacity to enhance the accuracy and precision of DNA quantification. Notably, LiFO exhibits improved linearity in the measurement of serial DNA dilutions, reflected by an increase in R2 from 0.956 to 0.997. These results demonstrate the potential of LiFO to serve as a valuable tool across a wide spectrum of droplet microfluidic platforms, offering opportunities for advancement in practical applications.
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Affiliation(s)
- Minhui Liang
- Pillar of Engineering Product Development, Singapore University of Technology and Design, 8 Somapah Road, Singapore 487372, Singapore
- School of Mechanical Engineering, Guangxi University, Nanning 530004, China
| | - Li Liang
- School of Physics and Electronic Technology, Anhui Normal University, Wuhu 241000, China
| | - Mahnoush Tayebi
- Pillar of Engineering Product Development, Singapore University of Technology and Design, 8 Somapah Road, Singapore 487372, Singapore
| | - Jianwei Zhong
- Pillar of Engineering Product Development, Singapore University of Technology and Design, 8 Somapah Road, Singapore 487372, Singapore
| | - Ye Ai
- Pillar of Engineering Product Development, Singapore University of Technology and Design, 8 Somapah Road, Singapore 487372, Singapore
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Han J, Zhang H, Li Y, Huang C, Guzman AR, Han A. High-Efficiency Interdigitated Electrode-Based Droplet Merger for Enabling Error-Free Droplet Microfluidic Systems. Anal Chem 2024; 96. [PMID: 39146475 PMCID: PMC11359384 DOI: 10.1021/acs.analchem.4c02376] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2024] [Revised: 08/07/2024] [Accepted: 08/08/2024] [Indexed: 08/17/2024]
Abstract
Merging two droplets into a droplet to add and mix two contents is one of the common droplet microfluidic functions with droplet generation and sorting, performing broad ranges of biological and chemical assays in droplets. However, traditional droplet-merging techniques often encounter unsynchronized droplets, causing overmerging or mis-merging, and unwanted merging outside of the desired zone. This is more severe when the incoming droplets to be merged are polydisperse in their sizes, often observed in assays that require long-term incubation, elevated-temperature, and/or multiple droplet processing steps. Here, we developed an interdigitated electrode (IDE)-based droplet merger consisting of a droplet autosynchronizing channel and a merging channel. The autosynchronizing channel provides >95% merging efficiency even when 20% polydispersity in the droplet size exists. The highly localized and enhanced dielectrophoretic force generated by the IDEs on the channel bottom allows droplet merging at an extremely low voltage (4.5 V) and only locally at the IDE region. A systematic evaluation of how various design and operation parameters of the IDE merger, such as IDE finger dimensions, dielectric coating layer thickness, droplet size, and droplet flow speed impact the performance was conducted. The optimized device showed consistent performance even when operating for up to 100 h consecutively at high throughput (100 droplets/s). The presented technology has been integrated into a droplet microfluidics workflow to test the lytic activities of bacteriophage on bacterial host cells with 100% merging efficiency. We expect this function to be integrated into droplet microfluidic systems performing broad ranges of high-throughput chemical and biological assays.
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Affiliation(s)
- Jeong
Jae Han
- Department
of Multidisciplinary Engineering, Texas
A&M University, College Station, Texas 77843, United States
| | - Han Zhang
- Department
of Electrical and Computer Engineering, Texas A&M University, College
Station, Texas 77843, United States
| | - Yuwen Li
- Department
of Electrical and Computer Engineering, Texas A&M University, College
Station, Texas 77843, United States
| | - Can Huang
- Department
of Electrical and Computer Engineering, Texas A&M University, College
Station, Texas 77843, United States
| | - Adrian R. Guzman
- Department
of Electrical and Computer Engineering, Texas A&M University, College
Station, Texas 77843, United States
| | - Arum Han
- Department
of Electrical and Computer Engineering, Texas A&M University, College
Station, Texas 77843, United States
- Department
of Biomedical Engineering, Texas A&M
University, College Station, Texas 77843, United States
- Department
of Chemical Engineering, Texas A&M University, College Station, Texas 77843, United States
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4
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Kim S, Lam PY, Jayaraman A, Han A. Uniform sized cancer spheroids production using hydrogel-based droplet microfluidics: a review. Biomed Microdevices 2024; 26:26. [PMID: 38806765 PMCID: PMC11241584 DOI: 10.1007/s10544-024-00712-3] [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: 05/16/2024] [Indexed: 05/30/2024]
Abstract
Three-dimensional (3D) cell culture models have been extensively utilized in various mechanistic studies as well as for drug development studies as superior in vitro platforms than conventional two-dimensional (2D) cell culture models. This is especially the case in cancer biology, where 3D cancer models, such as spheroids or organoids, have been utilized extensively to understand the mechanisms of cancer development. Recently, many sophisticated 3D models such as organ-on-a-chip models are emerging as advanced in vitro models that can more accurately mimic the in vivo tissue functions. Despite such advancements, spheroids are still considered as a powerful 3D cancer model due to the relatively simple structure and compatibility with existing laboratory instruments, and also can provide orders of magnitude higher throughput than complex in vitro models, an extremely important aspects for drug development. However, creating well-defined spheroids remain challenging, both in terms of throughputs in generation as well as reproducibility in size and shape that can make it challenging for drug testing applications. In the past decades, droplet microfluidics utilizing hydrogels have been highlighted due to their potentials. Importantly, core-shell structured gel droplets can avoid spheroid-to-spheroid adhesion that can cause large variations in assays while also enabling long-term cultivation of spheroids with higher uniformity by protecting the core organoid area from external environment while the outer porous gel layer still allows nutrient exchange. Hence, core-shell gel droplet-based spheroid formation can improve the predictivity and reproducibility of drug screening assays. This review paper will focus on droplet microfluidics-based technologies for cancer spheroid production using various gel materials and structures. In addition, we will discuss emerging technologies that have the potential to advance the production of spheroids, prospects of such technologies, and remaining challenges.
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Affiliation(s)
- Sungjin Kim
- Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX, USA
| | - Po Yi Lam
- Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX, USA
| | - Arul Jayaraman
- Department of Chemical Engineering, Texas A&M University, College Station, TX, USA
| | - Arum Han
- Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX, USA.
- Department of Biomedical Engineering, Texas A&M University, College Station, TX, USA.
- Department of Chemical Engineering, Texas A&M University, College Station, TX, USA.
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Young OM, Xu X, Sarker S, Sochol RD. Direct laser writing-enabled 3D printing strategies for microfluidic applications. LAB ON A CHIP 2024; 24:2371-2396. [PMID: 38576361 PMCID: PMC11060139 DOI: 10.1039/d3lc00743j] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 04/22/2024] [Accepted: 03/27/2024] [Indexed: 04/06/2024]
Abstract
Over the past decade, additive manufacturing-or "three-dimensional (3D) printing"-has attracted increasing attention in the Lab on a Chip community as a pathway to achieve sophisticated system architectures that are difficult or infeasible to fabricate via conventional means. One particularly promising 3D manufacturing technology is "direct laser writing (DLW)", which leverages two-photon (or multi-photon) polymerization (2PP) phenomena to enable high geometric versatility, print speeds, and precision at length scales down to the 100 nm range. Although researchers have demonstrated the potential of using DLW for microfluidic applications ranging from organ on a chip and drug delivery to micro/nanoparticle processing and soft microrobotics, such scenarios present unique challenges for DLW. Specifically, microfluidic systems typically require macro-to-micro fluidic interfaces (e.g., inlet and outlet ports) to facilitate fluidic loading, control, and retrieval operations; however, DLW-based 3D printing relies on a micron-to-submicron-sized 2PP volume element (i.e., "voxel") that is poorly suited for manufacturing these larger-scale fluidic interfaces. In this Tutorial Review, we highlight and discuss the four most prominent strategies that researchers have developed to circumvent this trade-off and realize macro-to-micro interfaces for DLW-enabled microfluidic components and systems. In addition, we consider the possibility that-with the advent of next-generation commercial DLW printers equipped with new dynamic voxel tuning, print field, and laser power capabilities-the overall utility of DLW strategies for Lab on a Chip fields may soon expand dramatically.
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Affiliation(s)
- Olivia M Young
- Department of Mechanical Engineering, University of Maryland, College Park, 2147 Glenn L. Martin Hall, College Park, MD, 20742, USA.
| | - Xin Xu
- Department of Mechanical Engineering, University of Maryland, College Park, 2147 Glenn L. Martin Hall, College Park, MD, 20742, USA.
| | - Sunandita Sarker
- Department of Mechanical Engineering, University of Maryland, College Park, 2147 Glenn L. Martin Hall, College Park, MD, 20742, USA.
- Maryland Robotics Center, University of Maryland, College Park, MD, 20742, USA
- Institute for Systems Research, University of Maryland, College Park, MD, 20742, USA
- Department of Mechanical and Industrial Engineering, University of Massachusetts Amherst, MA, 01003, USA
| | - Ryan D Sochol
- Department of Mechanical Engineering, University of Maryland, College Park, 2147 Glenn L. Martin Hall, College Park, MD, 20742, USA.
- Maryland Robotics Center, University of Maryland, College Park, MD, 20742, USA
- Institute for Systems Research, University of Maryland, College Park, MD, 20742, USA
- Fischell Department of Bioengineering, University of Maryland, College Park, MD, 20742, USA
- Robert E. Fischell Institute for Biomedical Devices, University of Maryland, College Park, MD, 20742, USA
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Pan S, Zhang T, Zhang C, Liao N, Zhang M, Zhao T. Fabrication of a high performance flexible capacitive porous GO/PDMS pressure sensor based on droplet microfluidic technology. LAB ON A CHIP 2024; 24:1668-1675. [PMID: 38304936 DOI: 10.1039/d4lc00021h] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/03/2024]
Abstract
Porous structures are an effective way to improve the performance of flexible capacitive sensors, but the pore size uniformity of porous structures is not easily controlled by current methods, which may affect the inconsistent performance of different batches of sensors. In this paper, a high performance capacitive flexible porous GO/PDMS pressure sensor was prepared based on droplet microfluidic technology. By testing the performance of the sensor, we found that the sensor with a flow rate ratio of 1 : 3 has relatively good performance, with a degree of hysteresis (DH) of 8.64% and a coefficient of variation (CV) of 5.2%. Therefore, we studied the sensor performance based on this process. The result shows that the sensitivity of the flexible capacitive porous GO/PDMS pressure sensor reached 0.627 kPa-1 at low pressure (0-3 kPa), which is significantly higher than that of the pure PDMS thin film sensor (about 0.031 kPa-1) and the porous PDMS pressure sensor (0.263 kPa-1). At the same time, the sensor has a large range with a fast response time of 240 ms and a relaxation time of 300 ms at 30 kPa and an ultra-low detection limit (70 Pa). It can maintain stable operation under continuous force loading/unloading cycles and can respond well to different pressure step changes, so the sensor can be used to detect the movement process of each finger, knee, foot and other joints of the human body. In conclusion, the droplet microfluidic technology can effectively prepare high-performance capacitive flexible porous GO/PDMS pressure sensors.
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Affiliation(s)
- ShengYuan Pan
- College of Mechanical and Electrical Engineering, Wenzhou University, Wenzhou 325035, China.
| | - Tao Zhang
- College of Mechanical and Electrical Engineering, Wenzhou University, Wenzhou 325035, China.
| | - Cheng Zhang
- College of Mechanical and Electrical Engineering, Wenzhou University, Wenzhou 325035, China.
- Cangnan Research Institute of Wenzhou University, Wenzhou 325800, China
| | - Ningbo Liao
- College of Mechanical and Electrical Engineering, Wenzhou University, Wenzhou 325035, China.
| | - Miao Zhang
- College of Mechanical and Electrical Engineering, Wenzhou University, Wenzhou 325035, China.
- Cangnan Research Institute of Wenzhou University, Wenzhou 325800, China
| | - Tianchen Zhao
- Key Laboratory of Air-driven Equipment Technology of Zhejiang Province, Quzhou University, Quzhou 324000, China
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Huang C, Han SI, Zhang H, Han A. Tutorial on Lateral Dielectrophoretic Manipulations in Microfluidic Systems. IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS 2023; 17:21-32. [PMID: 37015136 PMCID: PMC10091972 DOI: 10.1109/tbcas.2022.3226675] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/05/2023]
Abstract
Microfluidic lab-on-a-chip systems can offer cost- and time-efficient biological assays by providing high-throughput analysis at very small volume scale. Among these extremely broad ranges of assays, accurate and specific cell and reagent control is considered one of the most important functions. Dielectrophoretic (DEP)-based manipulation technologies have been extensively developed for these purposes due to their label-free and high selectivity natures as well as due to their simple microstructures. Here, we provide a tutorial on how to develop DEP-based microfluidic systems, including a detailed walkthrough of dielectrophoresis theory, instruction on how to conduct simulation and calculation of electric field and generated DEP force, followed with guidance on microfabricating two forms of DEP microfluidic systems, namely lateral DEP and droplet DEP, and how best to conduct experiments in such systems. Finally, we summarize most recent DEP-based microfluidic technologies and applications, including systems for blood diagnoses, pathogenicity studies, in-droplet content manipulations, droplet manipulations and merging, to name a few. We conclude by suggesting possible future directions on how DEP-based technologies can be utilized to overcome current challenges and improve the current status in microfluidic lab-on-a-chip systems.
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Huang C, Jiang Y, Li Y, Zhang H. Droplet Detection and Sorting System in Microfluidics: A Review. MICROMACHINES 2022; 14:mi14010103. [PMID: 36677164 PMCID: PMC9867185 DOI: 10.3390/mi14010103] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Revised: 12/23/2022] [Accepted: 12/26/2022] [Indexed: 05/26/2023]
Abstract
Since being invented, droplet microfluidic technologies have been proven to be perfect tools for high-throughput chemical and biological functional screening applications, and they have been heavily studied and improved through the past two decades. Each droplet can be used as one single bioreactor to compartmentalize a big material or biological population, so millions of droplets can be individually screened based on demand, while the sorting function could extract the droplets of interest to a separate pool from the main droplet library. In this paper, we reviewed droplet detection and active sorting methods that are currently still being widely used for high-through screening applications in microfluidic systems, including the latest updates regarding each technology. We analyze and summarize the merits and drawbacks of each presented technology and conclude, with our perspectives, on future direction of development.
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Affiliation(s)
- Can Huang
- Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77842, USA
| | - Yuqian Jiang
- State Key Laboratory of Food Nutrition and Safety, College of Food Science and Engineering, Tianjin University of Science and Technology, Tianjin 300457, China
| | - Yuwen Li
- Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77842, USA
| | - Han Zhang
- Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77842, USA
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