Evidence map›Paper›PMID 40942207›Full record

ArticlePolymers2025

Comparative Study of Continuous-Flow Reactors for Emulsion Polymerization.

Kai-Yen Chin, Angus Shiue, Pei-Yu Lai, Chien-Chen Chu, Shu-Mei Chang, Graham Leggett

Abstract read
In one paragraph

Article in Polymers, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

6 authors.

Kai-Yen ChinDepartment of Molecular Science and Engineering, National Taipei University of Technology, Taipei 10608, Taiwan.ORCID 0000-0001-7908-366X
Angus ShiueDepartment of Molecular Science and Engineering, National Taipei University of Technology, Taipei 10608, Taiwan.
Pei-Yu LaiDepartment of Molecular Science and Engineering, National Taipei University of Technology, Taipei 10608, Taiwan.
Chien-Chen ChuDepartment of Molecular Science and Engineering, National Taipei University of Technology, Taipei 10608, Taiwan.
Shu-Mei ChangDepartment of Molecular Science and Engineering, National Taipei University of Technology, Taipei 10608, Taiwan.ORCID 0000-0002-5649-6055
Graham LeggettLI-COR, Lincoln, NE 68504, USA.

Funding

National Science and Technology Council (Taiwan) MSTC- 111-2221-E-027 -012National Science and Technology Council (Taiwan) NSTC -114-2637-E-027-012
6 · The paper itself

Abstract

Polymer fouling in batch and tubular reactors creates safety hazards from heat buildup and blockages. The continuous Corning Advanced-Flow™ Reactor (AFR) offers enhanced mass and heat transfer, improving safety and efficiency. This study evaluated three reactor systems-a monolithic AFR, an AFR with an external pipe, and a conventional tubular reactor-for the mini-emulsion polymerization of styrene and subsequent styrene-acrylic acid copolymerization. The AFR operability under varying monomer concentrations was assessed and investigated, with the residence time's effects on conversion. For styrene polymerization at 20-35 wt% monomer, the highest conversions achieved were 88.0% in the AFR, 85.8% in the tubular reactor, and 98.9% in the AFR with pipe. Uniform particles were obtained at ≤30 wt%, whereas at 35 wt%, the monolithic AFR experienced clogging and loss of particle uniformity. Similarly, in styrene-acrylic acid copolymerization (15-17.5 wt% monomer), the maximum conversions reached 80.1% in the AFR and 95.4% in the AFR with pipe, while the monolithic AFR again experienced blockage at 17.5 wt%. In conclusion, integrating an external pipe with the AFR, coupled with higher flow rates, significantly improved initiator diffusion, enhanced monomer conversion, and mitigated blockage. This approach enabled the efficient, continuous production of nanoscale, uniformly sized polystyrene and styrene-acrylic acid copolymers even at high monomer concentrations.

Indexed as

microreactormini-emulsion polymerizationstyrene

Identifiers

PMID40942207
PMCPMC12430675

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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.