Evidence map›Paper›PMID 38731440›Full record

ArticleMolecules (Basel, Switzerland)2024

Efficient Separation of Methanol Single-Micron Droplets by Tailing Phenomenon Using a PDMS Microfluidic Device.

Daiki Tanaka, Shengqi Zheng, Masahiro Furuya, Masashi Kobayashi, Hiroyuki Fujita, Takashiro Akitsu, Tetsushi Sekiguchi, Shuichi Shoji

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Molecules (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Daiki TanakaDepartment of Electronic and Physical Systems, School of Fundamental Science and Engineering, Waseda University, Tokyo 145-0065, Japan.ORCID 0000-0003-1900-4848
Shengqi ZhengDepartment of Electronic and Physical Systems, School of Fundamental Science and Engineering, Waseda University, Tokyo 145-0065, Japan.
Masahiro FuruyaCooperative Major in Nuclear Energy, Waseda University, Tokyo 169-8555, Japan.ORCID 0000-0002-1221-2874
Masashi KobayashiCooperative Major in Nuclear Energy, Waseda University, Tokyo 169-8555, Japan.
Hiroyuki FujitaCanon Medical Systems Corporation, Otawara 324-8550, Japan.
Takashiro AkitsuDepartment of Chemistry, Faculty of Science, Tokyo University of Science, Tokyo 162-0825, Japan.ORCID 0000-0003-4410-4912
Tetsushi SekiguchiResearch Organization for Nano & Life Innovation, Waseda University, Tokyo 162-0041, Japan.
Shuichi ShojiDepartment of Electronic and Physical Systems, School of Fundamental Science and Engineering, Waseda University, Tokyo 145-0065, Japan.

Funding

JSPS KAKENHI JP24K00912 and 23K13652
6 · The paper itself

Abstract

Microdroplet-based fluidic systems have the advantages of small size, short diffusion time, and no cross-contamination; consequently, droplets often provide a fast and precise reaction environment as well as an analytical environment for individual molecules. In order to handle diverse reactions, we developed a method to create organic single-micron droplets (S-MDs) smaller than 5 μm in diameter dispersed in silicone oil without surfactant. The S-MD generation microflow device consists of a mother droplet (MoD) generator and a tapered separation channel featuring multiple side channels. The tapered channel enhanced the shear forces to form tails from the MoDs, causing them to break up. Surface treatment with the fluoropolymer CYTOP protected PDMS fluid devices from organic fluids. The tailing separation of methanol droplets was accomplished without the use of surfactants. The generation of tiny organic droplets may offer new insights into chemical separation and help study the scaling effects of various chemical reactions.

Indexed as

fluid controlorganic microdropletssingle-micron dropletssurface treatment

Identifiers

PMID38731440
PMCPMC11085517

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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.