Evidence map›Paper›PMID 41587984›Full record

ArticleMicrosystems & nanoengineering2026

Dean migration mechanisms: facilitating the control of microbial contaminants in cell therapy product manufacturing.

Junhao Tan, Jianbo Yang, Junjie Huang, Ziming Huang, Liang Xu, Weizhao Yao, Chengshun Shen, Ming Zhao, Luping Zhou

Abstract read
In one paragraph

Article in Microsystems & nanoengineering, 2026. 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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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.

Junhao TanMedical School, Faculty of Medicine, Tianjin University, Tianjin, China.
Jianbo YangHangzhou Institute of Medicine, Chinese Academy of Sciences, Hangzhou, Zhejiang, China.
Junjie HuangHangzhou Institute of Medicine, Chinese Academy of Sciences, Hangzhou, Zhejiang, China.
Ziming HuangHangzhou Institute of Medicine, Chinese Academy of Sciences, Hangzhou, Zhejiang, China.
Liang XuHangzhou Institute of Medicine, Chinese Academy of Sciences, Hangzhou, Zhejiang, China.
Weizhao YaoMedical School, Faculty of Medicine, Tianjin University, Tianjin, China.ORCID http://orcid.org/0009-0006-7571-8465
Chengshun ShenMedical School, Faculty of Medicine, Tianjin University, Tianjin, China.ORCID http://orcid.org/0009-0007-3456-6642
Ming ZhaoHangzhou Institute of Medicine, Chinese Academy of Sciences, Hangzhou, Zhejiang, China. Zmingys@ucas.ac.cn.
Luping ZhouHangzhou Institute of Medicine, Chinese Academy of Sciences, Hangzhou, Zhejiang, China. zhouluping6060@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cell therapy products are rapidly transforming clinical practice, but their short shelf-lives and inability to undergo terminal sterilization create major challenges for sterility testing. Conventional rapid microbiological methods (RMMs) are hindered by the dense cellular background of therapeutic samples, which masks rare microbial contaminants and necessitates pre-analytical processing. Efficient separation of microorganisms from high-density cell suspensions is therefore a critical prerequisite for enabling real-time, in-process sterility assurance. Here, we systematically elucidate the Dean flow-dominated migration mechanism and determine its effective range for continuous, label-free separation of non-typical contaminants ≤ 5 μm in microchannels exceeding 40 μm in height. We demonstrate that particles with ap/h < 0.05 undergo exclusive Dean-induced lateral migration, while those near the inertial focusing threshold (ap/h ≈ 0.07) exhibit a Reynolds number-dependent transition between unfocused and centerline-focused streams. Leveraging these principles, we designed optimized channel geometries that achieved > 95% separation efficiency and > 96% purity of T cells versus three morphologically distinct bacteria at 10⁵ bacteria/mL. At ultra-low loads (< 10 CFU/mL), culture-based assays confirmed 100% detection for inocula > 1 CFU/mL. Our findings validate Dean migration as a governing mechanism for submicron particle separation and provide a path toward integrating microfluidic modules into closed CAR-T manufacturing platforms, advancing real-time microbial quality control in cell therapy production.

Identifiers

PMID41587984
PMCPMC12835003

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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.