Evidence map›Paper›PMID 38135949›Full record

ArticleBioengineering (Basel, Switzerland)2023

Investigation of Biomaterial Ink Viscosity Properties and Optimization of the Printing Process Based on Pattern Path Planning.

Jiahao Wu, Chunya Wu, Siyang Zou, Xiguang Li, Bo Ho, Ruijiang Sun, Chang Liu, Mingjun Chen

Abstract read
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Thiolated Polymers in 3D Bioprinting: Control of Gelation.Advanced materials (Deerfield Beach, Fla.) · 2026
    Review
  2. Review
  3. Review
  4. Article
  5. Review
  6. Article
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.

Jiahao WuState Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150080, China.
Chunya WuState Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150080, China.
Siyang ZouState Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150080, China.
Xiguang LiState Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150080, China.
Bo HoState Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150080, China.
Ruijiang SunState Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150080, China.
Chang LiuState Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150080, China.
Mingjun ChenState Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150080, China.

Funding

Key Technologies R&D Program of Heilongjiang Province 2022ZX02C22National Natural Science Foundation of China 52075128Natural Science Foundation of Heilongjiang Province YQ2020E013
6 · The paper itself

Abstract

Extruded bioprinting is widely used for the biomanufacturing of personalized, complex tissue structures, which requires biomaterial inks with a certain viscosity to enable printing. However, there is still a lack of discussion on the controllable preparation and printability of biomaterial inks with different viscosities. In this paper, biomaterial inks composed of gelatin, sodium alginate, and methylcellulose were utablesed to investigate the feasibility of adjustment of rheological properties, thereby analyzing the effects of different rheological properties on the printing process. Based on the response surface methodology, the relationship between the material components and the rheological properties of biomaterial inks was discussed, followed by the prediction of the rheological properties of biomaterial inks. The prediction accuracies of the power-law index and consistency coefficient could reach 96% and 79%, respectively. The material group can be used to prepare biomaterial inks with different viscosity properties in a wide range. Latin hypercube sampling and computational fluid dynamics were used to analyze the effects of different rheological properties and extrusion pressure on the flow rate at the nozzle. The relationship between the rheological properties of the biomaterial ink and the flow rate was established, and the simulation results showed that the changes in the rheological properties of the biomaterial ink in the high-viscosity region resulted in slight fluctuations in the flow rate, implying that the printing process for high-viscosity biomaterial inks may have better versatility. In addition, based on the characteristics of biomaterial inks, the printing process was optimized from the planning of the print pattern to improve the location accuracy of the starting point, and the length accuracy of filaments can reach 99%. The effect of the overlap between the fill pattern and outer frame on the print quality was investigated to improve the surface quality of complex structures. Furthermore, low- and high-viscosity biomaterial inks were tested, and various printing protocols were discussed for improving printing efficiency or maintaining cell activity. This study provides feasible printing concepts for a wider range of biomaterials to meet the biological requirements of cell culture and tissue engineering.

Indexed as

bioprintingpower lawprintabilityprint pathresponse surface methodologysimulation

Identifiers

PMID38135949
PMCPMC10740413

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.