Evidence map›Paper›PMID 39741142›Full record

ArticleMicrosystems & nanoengineering2024

Power-free plasma separation based on negative magnetophoresis for rapid biochemical analysis.

Lin Zeng, Chao Liu, Yi Yang, Shi Hu, Ruihan Li, Xiaotian Tan, Jienan Shen, Yi Zhang, Shaohui Huang, Hui Yang

Abstract read
In one paragraph

Article in Microsystems & nanoengineering, 2024. 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
  2. Article
  3. Article
  4. Review
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

10 authors.

Lin ZengResearch Center for Bionic Sensing and Intelligence, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 518055, Shenzhen, China.
Chao LiuResearch Center for Bionic Sensing and Intelligence, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 518055, Shenzhen, China.
Yi YangResearch Center for Bionic Sensing and Intelligence, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 518055, Shenzhen, China.
Shi HuResearch Center for Bionic Sensing and Intelligence, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 518055, Shenzhen, China.
Ruihan LiResearch Center for Bionic Sensing and Intelligence, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 518055, Shenzhen, China.
Xiaotian TanResearch Center for Bionic Sensing and Intelligence, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 518055, Shenzhen, China.
Jienan ShenResearch Center for Bionic Sensing and Intelligence, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 518055, Shenzhen, China.
Yi ZhangResearch Center for Medical AI, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 518055, Shenzhen, China.
Shaohui HuangSchool of Biosciences, University of Chinese Academy of Sciences, 101408, Beijing, China.
Hui YangResearch Center for Bionic Sensing and Intelligence, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 518055, Shenzhen, China. hui.yang@siat.ac.cn.ORCID http://orcid.org/0000-0002-6800-6308

Funding

National Natural Science Foundation of China (National Science Foundation of China) 62175252, 62074155, 82227806
6 · The paper itself

Abstract

We present a versatile platform for label-free magnetic separation of plasma, tailored to accommodate diverse environments. This innovative device utilizes an advanced long-short alternating double Halbach magnetic array, specifically engineered for optimal magnetic separation. The array's adaptability allows for seamless integration with separation channels of varying sizes, enabling static separation of whole blood. The platform has a highly flexible processing throughput, spanning from 100 μL to 3 mL per separation cycle without sacrificing separation efficiency. A key aspect of this device is its power-free operation throughout the separation process, obviating the complexity of conventional separation devices. Its effectiveness is demonstrated by the extraction of 40 μL of plasma from 100 μL of rat whole blood within 8 min. The separated plasma proved effective for subsequent analysis of antibody concentration and size in the separated plasma for pharmacokinetic investigations, yielding results on par with those obtained via centrifugation. Furthermore, the device's high-throughput capability was validated using human whole blood, achieving 3 mL of plasma separation in just 1 min. In a follow-up study on COVID-19 IgG antibody detection, the results matched those from centrifugation. The device demonstrates a separation efficiency of 99.9% for cells larger than 1 μm in both rat and human blood samples, with a plasma recovery rate of 72.7%. In summary, our magnetic separation device facilitates rapid plasma extraction from whole blood, with a capacity of up to 3 mL per minute in human blood, without compromising subsequent plasma-based analyses, thereby highlighting its broad applicability across diverse settings.

Identifiers

PMID39741142
PMCPMC11688449

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Registered trials

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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.