Evidence map›Paper›PMID 34286156›Full record

ArticleInternational journal of bioprinting2021

A Systematic Thermal Analysis for Accurately Predicting the Extrusion Printability of Alginate-Gelatin-Based Hydrogel Bioinks.

Qi Li, Bin Zhang, Qian Xue, Chunxiao Zhao, Yichen Luo, Hongzhao Zhou, Liang Ma, Huayong Yang, Dapeng Bai

Abstract read
In one paragraph

Article in International journal of bioprinting, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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  15. Bioprinting of 3D Functional Tissue Constructs.International journal of bioprinting · 2021
    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

9 authors.

Qi LiState Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou, 310058, People's Republic of China.
Bin ZhangState Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou, 310058, People's Republic of China.
Qian XueState Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou, 310058, People's Republic of China.
Chunxiao ZhaoState Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou, 310058, People's Republic of China.
Yichen LuoState Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou, 310058, People's Republic of China.
Hongzhao ZhouState Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou, 310058, People's Republic of China.
Liang MaState Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou, 310058, People's Republic of China.
Huayong YangState Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou, 310058, People's Republic of China.
Dapeng BaiState Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou, 310058, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Three-dimensional (3D) bioprinting has significant potential for addressing the global problem of organ shortages. Extrusion printing is a versatile 3D bioprinting technique, but its low accuracy currently limits the solution. This lack of precision is attributed largely to the complex thermal and dynamic properties of bioinks and makes it difficult to provide accurate estimations of the printed results. It is necessary to understand the relationship between printing temperature and materials' printability to address this issue. This paper proposes a quantitative thermal model incorporating a system's printing temperatures (syringe, ambient, and bioink) to facilitate accurate estimations of the printing outcomes. A physical model was established to reveal the relationship between temperature, pressure, and velocity in guiding the printing of sodium alginate-gelatin composite hydrogel (a popular bioink) to optimize its extrusion-based printability. The model considered the phenomenon of bioink die swells after extrusion. A series of extrusion experiments confirmed that the proposed model offers enhanced printing outcome estimations compared with conventional models. Two types of nozzles (32- and 23-gauge) were used to print several sets of lines with a linewidth step of 50 mm by regulating the extrudate's temperature, pressure, and velocity separately. The study confirmed the potential for establishing a reasonable, accurate open-loop linewidth control based on the proposed optimization method to expand the application of extrusion-based bioprinting further.

Indexed as

3D bioprintingPneumatic extrusionPrintabilityTemperature controlThermal effects

Identifiers

PMID34286156
PMCPMC8287498

What OpenQuestion holds

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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.