Evidence map›Paper›PMID 34500162›Full record

ArticleJournal of colloid and interface science2022

Understanding microbeads stacking in deformable Nano-Sieve for Efficient plasma separation and blood cell retrieval.

Xinye Chen, Shuhuan Zhang, Yu Gan, Rui Liu, Ruo-Qian Wang, Ke Du

Abstract read
In one paragraph

Article in Journal of colloid and interface science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

4 citing papers in PubMed.

  1. Review
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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.

Xinye ChenDepartment of Mechanical Engineering, Rochester Institute of Technology, Rochester, NY 14623, United States; Department of Microsystems Engineering, Rochester Institute of Technology, Rochester, NY 14623, United States.
Shuhuan ZhangDepartment of Mechanical Engineering, Rochester Institute of Technology, Rochester, NY 14623, United States.
Yu GanDepartment of Electrical and Computer Engineering, University of Alabama, Tuscaloosa, AL 35401, United States.
Rui LiuDepartment of Mechanical Engineering, Rochester Institute of Technology, Rochester, NY 14623, United States.
Ruo-Qian WangDepartment of Civil and Environmental Engineering, Rutgers, The State University of New Jersey, NJ 08854 United States. Electronic address: rq.wang@rutgers.edu.
Ke DuDepartment of Mechanical Engineering, Rochester Institute of Technology, Rochester, NY 14623, United States; Department of Microsystems Engineering, Rochester Institute of Technology, Rochester, NY 14623, United States; Chemistry and Materials Science, Rochester Institute of Technology, Rochester, NY 14623, United States. Electronic address: ke.du@rit.edu.

Funding

Understand and Detect Sepsis: Pathogen Isolation, Biochemistry Assay, and Optofluidic SensingR35GM142763 · NIGMS · UNIVERSITY OF CALIFORNIA RIVERSIDE · PI DU, KE · 2021 to 2025
$2.0M
NIGMS NIH HHS R35 GM142763
6 · The paper itself

Abstract

Efficient separation of blood cells and plasma is key for numerous molecular diagnosis and therapeutics applications. Despite various microfluidics-based separation strategies having been developed, there is still a need for a simple, reliable, and multiplexing separation device that can process a large volume of blood. Here we show a microbead-packed deformable microfluidic system that can efficiently separate highly purified plasma from whole blood, as well as retrieve blocked blood cells from the device. To support and rationalize the experimental validation of the proposed device, a highly accurate model is constructed to help understand the link between the mechanical properties of the microfluidics, flow rate, and microbeads packing/leaking based on the microscope imaging and the optical coherence tomography (OCT) scanning. This deformable nano-sieve device is expected to offer a new solution for centrifuge-free diagnosis and treatment of bloodborne diseases and contribute to the design of next-generation deformable microfluidics for separation applications.

Indexed as

Microfluidic Analytical TechniquesMicrofluidicsBlood CellsCell SeparationMicrospheresPlasmaBlood cellsComputational fluidic modelMicrobeadsMicrofluidicsOptical coherence tomographyPlasma separation

Identifiers

PMID34500162
PMCPMC8572169

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Registered trials

None linked

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.