Evidence map›Paper›PMID 36756507›Full record

ArticleNanoscale advances2023

Ultra-thin membrane filter with a uniformly arrayed nanopore structure for nanoscale separation of extracellular vesicles without cake formation.

Daesan Kim, Jaehyuk Lee, Boyoung Kim, Yujin Shin, Jinhong Park, Uijoo Kim, Minbaek Lee, Sang Bum Kim, Sunghoon Kim

Open access · goldAbstract read
In one paragraph

Article in Nanoscale advances, 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
0.3field-weighted citation impact, top 47% of its field
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, 3 citations in OpenAlex.

  1. Review
  2. Isolation methods of exosomes derived from dental stem cells.International journal of oral science · 2025
    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

9 authors at 3 institutions in 1 country.

Daesan KimMedicinal Bioconvergence Research Center, Institute for Artificial Intelligence and Biomedical Research, Gangnam Severance Hospital, Yonsei University Incheon 21983 Korea sunghoonkim@yonsei.ac.kr.ORCID https://orcid.org/0000-0001-8297-1502
Jaehyuk LeeR&D Center, Metapore Co., Ltd, Advanced Institutes of Convergence Technology 8F Suwon 16229 Korea.
Boyoung KimR&D Center, Metapore Co., Ltd, Advanced Institutes of Convergence Technology 8F Suwon 16229 Korea.
Yujin ShinR&D Center, Metapore Co., Ltd, Advanced Institutes of Convergence Technology 8F Suwon 16229 Korea.
Jinhong ParkDepartment of Physics, Inha University Incheon 22212 Korea.
Uijoo KimMedicinal Bioconvergence Research Center, Institute for Artificial Intelligence and Biomedical Research, Gangnam Severance Hospital, Yonsei University Incheon 21983 Korea sunghoonkim@yonsei.ac.kr.
Minbaek LeeDepartment of Physics, Inha University Incheon 22212 Korea.
Sang Bum KimCollege of Pharmacy, Sahmyook University Seoul 01795 Korea.
Sunghoon KimMedicinal Bioconvergence Research Center, Institute for Artificial Intelligence and Biomedical Research, Gangnam Severance Hospital, Yonsei University Incheon 21983 Korea sunghoonkim@yonsei.ac.kr.
Yonsei University · KRAdvanced Institute of Convergence Technology · KRInha University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extracellular vesicles (EVs) have emerged as vehicles that mediate diverse cell-cell communication. However, in-depth understanding of these vesicles is hampered by a lack of a reliable isolation method to separate different types of EVs with high levels of integrity and purity. Here, we developed a nanoporous and ultra-thin membrane structure (NUTS) that warrants the size-based isolation of EVs without cake formation, minimizing the sample loss during the filtration process. By utilizing the micro-electro-mechanical systems (MEMS) technique, we could also control the pore size in nanoscale. We validated the performance of this membrane to separate EVs according to their size range.

Identifiers

PMID36756507
PMCPMC9890561
OpenAlexW4313342565

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.