Evidence map›Paper›PMID 39146475›Full record

ArticleAnalytical chemistry2024

High-Efficiency Interdigitated Electrode-Based Droplet Merger for Enabling Error-Free Droplet Microfluidic Systems.

Jeong Jae Han, Han Zhang, Yuwen Li, Can Huang, Adrian R Guzman, Arum Han

Abstract read
In one paragraph

Article in Analytical chemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Jeong Jae HanDepartment of Multidisciplinary Engineering, Texas A&M University, College Station, Texas 77843, United States.ORCID 0009-0004-3972-3166
Han ZhangDepartment of Electrical and Computer Engineering, Texas A&M University, College Station, Texas 77843, United States.
Yuwen LiDepartment of Electrical and Computer Engineering, Texas A&M University, College Station, Texas 77843, United States.
Can HuangDepartment of Electrical and Computer Engineering, Texas A&M University, College Station, Texas 77843, United States.ORCID 0000-0002-3675-6585
Adrian R GuzmanDepartment of Electrical and Computer Engineering, Texas A&M University, College Station, Texas 77843, United States.
Arum HanDepartment of Electrical and Computer Engineering, Texas A&M University, College Station, Texas 77843, United States.

Funding

Development of a High-Throughput Microfluidics-Enabled Functional Assay for Rapidly Identifying Neutralizing AntibodiesR01AI141607 · NIAID · UNIVERSITY OF MISSOURI-COLUMBIA · PI DE FIGUEIREDO, PAUL, HAN, ARUM · 2019 to 2023
$3.4M
Accelerating discovery of neutralizing paratopes with Functional Antibody Screening TechnologyR21AI139738 · NIAID · TEXAS A&M UNIVERSITY · PI HAN, ARUM · 2020 to 2021
$415k
NIAID NIH HHS R01 AI141607NIAID NIH HHS R21 AI139738
6 · The paper itself

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.

Identifiers

PMID39146475
PMCPMC11359384

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.