Evidence map›Paper›PMID 37504130›Full record

ArticleBiosensors2023

Hemagglutination Assay via Optical Density Characterization in 3D Microtrap Chips.

Sung-Wook Nam, Dong-Gyu Jeon, Young-Ran Yoon, Gang Ho Lee, Yongmin Chang, Dong Il Won

Abstract read
In one paragraph

Article in Biosensors, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Sung-Wook NamDepartment of Molecular Medicine, School of Medicine, Kyungpook National University, Daegu 41405, Republic of Korea.ORCID 0000-0002-2306-6032
Dong-Gyu JeonDepartment of Molecular Medicine, School of Medicine, Kyungpook National University, Daegu 41405, Republic of Korea.
Young-Ran YoonDepartment of Molecular Medicine, School of Medicine, Kyungpook National University, Daegu 41405, Republic of Korea.
Gang Ho LeeDepartment of Chemistry, College of Natural Sciences, Kyungpook National University, Daegu 41566, Republic of Korea.
Yongmin ChangDepartment of Molecular Medicine, School of Medicine, Kyungpook National University, Daegu 41405, Republic of Korea.
Dong Il WonBio-Medical Research Institute, Kyungpook National University Hospital, Daegu 41940, Republic of Korea.

Funding

Ministry of Science ICT and Future Planning NRF-2020R1C1C1005783Ministry of Science ICT and Future Planning NRF-2021M3A9H3016063Ministry of Science ICT and Future Planning NRF-2021R1A4A1029433Ministry of SMEs and Startups S3081964
6 · The paper itself

Abstract

Hemagglutination assay has been used for blood typing and detecting viruses, thus applicable for the diagnosis of infectious diseases, including COVID-19. Therefore, the development of microfluidic devices for fast detection of hemagglutination is on-demand for point-of-care diagnosis. Here, we present a way to detect hemagglutination in 3D microfluidic devices via optical absorbance (optical density, OD) characterization. 3D printing is a powerful way to build microfluidic structures for diagnostic devices. However, mixing liquid in microfluidic chips is difficult due to laminar flow, which hampers practical applications such as antigen-antibody mixing. To overcome the issue, we fabricated 3D microfluidic chips with embedded microchannel and microwell structures to induce hemagglutination between red blood cells (RBCs) and antibodies. We named it a 3D microtrap chip. We also established an automated measurement system which is an integral part of diagnostic devices. To do this, we developed a novel way to identify RBC agglutination and non-agglutination via the OD difference. By adapting a 3D-printed aperture to the microtrap chip, we obtained a pure absorbance signal from the microchannels by eliminating the background brightness of the microtrap chip. By investigating the underlying optical physics, we provide a 3D device platform for detecting hemagglutination.

Indexed as

COVID-19HemagglutinationErythrocytesHumansLab-On-A-Chip DevicesMicrofluidics3D microtrap chip3D printed aperturehemagglutinationoptical density (OD)

Identifiers

PMID37504130
PMCPMC10377501

What OpenQuestion holds

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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.