Evidence map›Paper›PMID 39597146›Full record

ArticleMicromachines2024

Numerical Analysis of the Cell Droplet Loading Process in Cell Printing.

Yankun Wang, Fagui Pang, Shushan Lai, Renye Cai, Chenxiang Lai, Zexin Yu, Yiwei Zhu, Min Wu, Heng Zhang, Chunyu Kong

Abstract read
In one paragraph

Article in Micromachines, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Yankun WangSchool of Automobile and Transportation Engineering, Guangdong Polytechnic Normal University, Guangzhou 510665, China.
Fagui PangSchool of Automobile and Transportation Engineering, Guangdong Polytechnic Normal University, Guangzhou 510665, China.
Shushan LaiSchool of Automobile and Transportation Engineering, Guangdong Polytechnic Normal University, Guangzhou 510665, China.
Renye CaiSchool of Automobile and Transportation Engineering, Guangdong Polytechnic Normal University, Guangzhou 510665, China.
Chenxiang LaiGuangzhou Metro Design & Research Institute Co., Ltd., Guangzhou 510010, China.
Zexin YuInstitute for Manufacturing Technologies of Ceramic Components and Composites (IMTCCC), University of Stuttgart, Allmandring 7b, 70569 Stuttgart, Germany.
Yiwei ZhuSchool of Automobile and Transportation Engineering, Guangdong Polytechnic Normal University, Guangzhou 510665, China.
Min WuSchool of Automobile and Transportation Engineering, Guangdong Polytechnic Normal University, Guangzhou 510665, China.
Heng ZhangSchool of Automobile and Transportation Engineering, Guangdong Polytechnic Normal University, Guangzhou 510665, China.
Chunyu KongSchool of Automobile and Transportation Engineering, Guangdong Polytechnic Normal University, Guangzhou 510665, China.

Funding

Guangdong Basic and Applied Basic Research Foundation 2024A1515012418National Natural Science Foundation of China 12302081the China Postdoctoral Science Foundation 2023M740743
6 · The paper itself

Abstract

Cell printing is a promising technology in tissue engineering, with which the complex three-dimensional tissue constructs can be formed by sequentially printing the cells layer by layer. Though some cell printing experiments with commercial inkjet printers show the possibility of this idea, there are some problems, such as cell damage due the mechanical impact during cell direct writing, which include two processes of cell ejection and cell landing. Cell damage observed during the bioprinting process is often simply attributed to interactions between cells and substrate. However, in reality, cell damage can also arise from complex mechanical effects caused by collisions between cell droplets during continuous printing processes. The objective of this research is to numerically simulate the collision effects between continuously printed cell droplets within the bioprinting process, with a particular focus on analyzing the consequent cell droplet deformation and stress distribution. The influence of gravity force was ignored, cell droplet landing was divided into four phases, the first phase is cell droplet free falling at a certain velocity; the second phase is the collision between the descending cell droplet and the pre-existing cell droplets that have been previously printed onto the substrate. This collision results in significant deformation of the cell membranes of both cell droplets in contact; the third phase is the cell droplet hitting a rigid body substrate; the fourth phase is the cell droplet being bounced. We conducted a qualitative analysis of the stress and strain of cell droplets during the cell printing process to evaluate the influence of different parameters on the printing effect. The results indicate that an increase in jet velocity leads to an increase in stress on cell droplets, thereby increasing the probability of cell damage. Adding cell droplet layers on the substrate can effectively reduce the impact force caused by collisions. Smaller droplets are more susceptible to rupture at higher velocities. These findings provide a scientific basis for optimizing cell printing parameters.

Indexed as

cell damagecell printingfinite element method (FEM)impact

Identifiers

PMID39597146
PMCPMC11596778

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LicenceCC BY
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Registered trials

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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.