Evidence map›Paper›PMID 42072209›Full record

ArticleBioengineering (Basel, Switzerland)2026

Investigation of Flow Characteristics in a Stirred-Tank Bioreactor with Flexible Blades via Integrated PIV and Image Recognition.

Wenda Xu, Chengfan Cai, Zhe Li, Hancheng Lu, Chao Yang, Baoqing Liu

Abstract read
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2026. 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

6 authors.

Wenda XuInstitute of Advanced Equipment, Zhejiang University, Hangzhou 310027, China.
Chengfan CaiInstitute of Wenzhou, Zhejiang University, Wenzhou 325006, China.
Zhe LiInstitute of Advanced Equipment, Zhejiang University, Hangzhou 310027, China.
Hancheng LuInstitute of Advanced Equipment, Zhejiang University, Hangzhou 310027, China.
Chao YangInstitute of Advanced Equipment, Zhejiang University, Hangzhou 310027, China.
Baoqing LiuInstitute of Advanced Equipment, Zhejiang University, Hangzhou 310027, China.

Funding

Pioneer R&D Program of Zhejiang Province-China 2025C01151Wenzhou Municipal Key Technology Innovation Project: 'Leading the Charge with Open Competition' ZG2024045
6 · The paper itself

Abstract

Biological reactions are widely applied in processes such as bioenergy production, raw material manufacturing, and resource recovery from waste. As a main reactor type, the stirred-tank bioreactor exhibits prominent advantages of high mixing efficiency and strong adaptability. At present, the optimization of bioreactors mainly focuses on rigid impellers, and the research on flexible impellers is insufficient. Identifying the influence of flexible materials on bioreactor performance is of great significance. In this work, a stirred-tank bioreactor equipped with flexible blades was designed. In addition, a performance detection method coupling Particle Image Velocimetry (PIV) and image recognition was proposed to systematically study the effects of stirring speed, liquid environment, and impeller type. The results indicated that compared with rigid impellers, flexible impellers could reduce 7.7% low-velocity zones and save 15% mixing time. Velocity could be distributed more uniformly, and the suitable velocity ratio was increased by 7.88%. Moreover, the power consumption had been reduced by 7.49%. Taking into account the mixing efficiency and the impact of shear stress, the optimized structural combination and operating parameters were a pitched blade turbine (PBT)-propeller impeller type and a stirring speed of 300 rpm. This work provides important references for the design and optimization of stirred-tank bioreactors.

Indexed as

flexible bladeflow characteristicsimage recognitionParticle Image Velocimetrystirred-tank bioreactor

Identifiers

PMID42072209
PMCPMC13113235

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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.