Droplet-based microfluidics

Nature Reviews Methods Primers, Год журнала: 2023, Номер 3(1)

Опубликована: Апрель 20, 2023

Язык: Английский

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Ultrahigh-Throughput Enzyme Engineering and Discovery in In Vitro Compartments

Chemical Reviews, Год журнала: 2023, Номер 123(9), С. 5571 - 5611

Опубликована: Май 1, 2023

Novel and improved biocatalysts are increasingly sourced from libraries via experimental screening. The success of such campaigns is crucially dependent on the number candidates tested. Water-in-oil emulsion droplets can replace classical test tube, to provide in vitro compartments as an alternative screening format, containing genotype phenotype enabling a readout function. scale-down micrometer droplet diameters picoliter volumes brings about >107-fold volume reduction compared 96-well-plate Droplets made automated microfluidic devices be integrated into modular workflows set up multistep protocols involving various detection modes sort >107 variants day with kHz frequencies. repertoire assays available for covers all seven enzyme commission (EC) classes, setting stage widespread use microfluidics everyday biochemical experiments. We review practicalities adapting discovery detailed kinetic characterization. These new ways working will not just accelerate experiments currently limited by capacity but profoundly change paradigms we probe. By interfacing results ultrahigh-throughput next-generation sequencing deep learning, strategies directed evolution implemented, examined, evaluated.

Язык: Английский

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Droplet microfluidics-based biomedical microcarriers

Acta Biomaterialia, Год журнала: 2021, Номер 138, С. 21 - 33

Опубликована: Окт. 28, 2021

Язык: Английский

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Microfluidic trends in drug screening and drug delivery

TrAC Trends in Analytical Chemistry, Год журнала: 2022, Номер 158, С. 116821 - 116821

Опубликована: Ноя. 14, 2022

Язык: Английский

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Droplet-Based Microfluidics: Applications in Pharmaceuticals

Pharmaceuticals, Год журнала: 2023, Номер 16(7), С. 937 - 937

Опубликована: Июнь 28, 2023

Droplet-based microfluidics offer great opportunities for applications in various fields, such as diagnostics, food sciences, and drug discovery. A droplet provides an isolated environment performing a single reaction within microscale-volume sample, allowing fast with high sensitivity, throughput, low risk of cross-contamination. Owing to several remarkable features, droplet-based microfluidic techniques have been intensively studied. In this review, we discuss the impact microfluidics, particularly focusing on screening development. addition, surveyed methods device fabrication generation/manipulation. We further highlight some promising studies covering synthesis delivery that were updated last 5 years. This review researchers quick guide includes most up-to-date relevant information latest scientific findings development pharmaceutical field.

Язык: Английский

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Functions and applications of artificial intelligence in droplet microfluidics

Lab on a Chip, Год журнала: 2023, Номер 23(11), С. 2497 - 2513

Опубликована: Янв. 1, 2023

This review summarizes the implementations of droplet microfluidics based on AI, including generation, biological analysis, and material synthesis.

Язык: Английский

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Step emulsification in microfluidic droplet generation: mechanisms and structures

Chemical Communications, Год журнала: 2020, Номер 56(64), С. 9056 - 9066

Опубликована: Янв. 1, 2020

Step emulsification for micro- and nano-droplet generation is reviewed in brief, including the emulsion mechanisms microfluidic devices.

Язык: Английский

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Advantages of optical fibers for facile and enhanced detection in droplet microfluidics

Biosensors and Bioelectronics, Год журнала: 2021, Номер 200, С. 113910 - 113910

Опубликована: Дек. 23, 2021

Droplet microfluidics offers a unique opportunity for ultrahigh-throughput experimentation with minimal sample consumption and thus has obtained increasing attention, particularly biological applications. Detection measurements of analytes or biomarkers in tiny droplets are essential proper analysis chemical assays like single-cell studies, cytometry, nucleic acid detection, protein quantification, environmental monitoring, drug discovery, point-of-care diagnostics. Current detection setups widely use microscopes as central device other free-space optical components. However, microscopic bulky, complicated, not flexible, expensive. Furthermore, they require precise alignments, specialized technical knowledge, cumbersome maintenance. The establishment efficient, simple, cheap methods is one the bottlenecks adopting microfluidic strategies diverse bioanalytical applications widespread laboratory use. Together great advances optofluidic components, integration fibers light guiding medium into chips recently revolutionized analytical possibilities. Optical embedded platform provide simpler, more lower-cost, sensitive setup several parameters from samples enable widespread, hands-on application much beyond thriving developments. In this review, we examine recent developments droplet systems using fiber medium, primarily focusing on different such fluorescence, absorbance, scattering, Raman scattering potential biochemistry biotechnology that will be arising this.

Язык: Английский

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Deep learning detector for high precision monitoring of cell encapsulation statistics in microfluidic droplets

Lab on a Chip, Год журнала: 2022, Номер 22(21), С. 4067 - 4080

Опубликована: Янв. 1, 2022

Encapsulation of cells inside microfluidic droplets is central to several applications involving cellular analysis. Although, theoretically the encapsulation statistics are expected follow a Poisson distribution, experimentally this may not be achieved due lack full control experimental variables and conditions. Therefore, there need for automatic detection cell count enumeration within so process feedback adjust conditions can implemented. In study, we use deep learning object detector called You Only Look Once (YOLO), an influential class detectors with benefits over traditional methods. This paper investigates application both YOLOv3 YOLOv5 in development automated droplet detector. Experimental data was obtained from flow focusing device dispersed phase cancer cells. The contained expansion chamber downstream generator, allowing visualization recording cell-encapsulated images. procedure, bounding box predicted, then cropped original image individual detected through separate model further examination. system includes production set additional performance analysis while providing workflow models. training collected preprocessed before labeling applying augmentations, generalizable Precision recall were utilized as validation test metric, resulting high mean average precision (mAP) metric accurate To examine limitations, predictions compared ground truth labels, illustrating that YOLO closely matched labels. Furthermore, it demonstrated consistent hand counted ratios confirming platform used real-time experiments optimization.

Язык: Английский

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Bionic surface diode for droplet steering

Droplet, Год журнала: 2023, Номер 2(2)

Опубликована: Фев. 9, 2023

Abstract Control of droplet sliding and its interfacial behavior such as resistance friction have important applications in microfluidic energy‐related fields. Nature provides many examples interface‐driven control; yet, to date, the continuous governing multiphase process precise steering remain challenging. Here, directional‐dependent ultraslippery patterned surfaces with significant anisotropy were created by coordinating heterogeneous wettability back dessert beetle, architecture butterfly wing, configuration Nepenthes alata . Analysis on typical reveals that triple phase line (TPL) immigration patterns dominates strong anisotropy, which can be modeled using classic Furmidge equation. In particular, for semicircular surface shows threefold higher than natural wings due most difference TPL two opposite directions, enables simultaneous handling multiple droplets without mass loss sliding/friction. This work may transform design space control interface motion development new lab‐on‐a‐chip droplet‐based microsystems.

Язык: Английский

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