Evidence map›Paper›PMID 37323480›Full record

ArticleInternational journal of bioprinting2023

Development and characterization of an automated active mixing platform for hydrogel bioink preparation.

Jiannan Li, Tara Shelby, Hossein Vahid Alizadeh, Hannah Shelby, Yunzhi Peter Yang

Abstract read
In one paragraph

Article in International journal of bioprinting, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Production of Bacterial Exopolysaccharides: Xanthan and Bacterial Cellulose.International journal of molecular sciences · 2023
    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

5 authors.

Jiannan LiDepartment of Orthopedic Surgery, Stanford University, 240 Pasteur Drive, Stanford, CA94304, USA.
Tara ShelbyDepartment of Orthopedic Surgery, Stanford University, 240 Pasteur Drive, Stanford, CA94304, USA.
Hossein Vahid AlizadehDepartment of Orthopedic Surgery, Stanford University, 240 Pasteur Drive, Stanford, CA94304, USA.
Hannah ShelbyDepartment of Orthopedic Surgery, Stanford University, 240 Pasteur Drive, Stanford, CA94304, USA.
Yunzhi Peter YangDepartment of Orthopedic Surgery, Stanford University, 240 Pasteur Drive, Stanford, CA94304, USA.

Funding

Systems Modeling Guided Bone regenerationU01AR069395 · NIAMS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI YANG, YUNZHI, ZHOU, XIAOBO · 2016 to 2021
$3.4M
Tissue Engineering Approaches for Improved Treatment of Early Stage Osteonecrosis of the HipR01AR072613 · NIAMS · STANFORD UNIVERSITY · PI GOODMAN, STUART B, YANG, YUNZHI · 2018 to 2022
$2.2M
Vascularization in bone tissue engineering constructsR01AR074458 · NIAMS · STANFORD UNIVERSITY · PI YANG, YUNZHI · 2019 to 2023
$1.7M
NIAMS NIH HHS R01 AR072613NIAMS NIH HHS R01 AR074458NIAMS NIH HHS U01 AR069395
6 · The paper itself

Abstract

Bioink preparation is an important yet challenging step for bioprinting with hydrogels, as it involves fast and homogeneous mixing of various viscous components. In this study, we have developed an automated active mixing platform (AAMP), which allows for high-quality preparation of hydrogel bioinks. The design of AAMP, adapted from syringe pumps, provides many advantages, including low cost, automated control, high precision, customizability, and great cytocompatibility, as well as the potential to intelligently detect the homogeneity. To demonstrate the capability of AAMP, mixing of different hydrogel components, including alginate and xanthan gum with and without Ca

Indexed as

BioinkBiomaterialsBioprintingHydrogelTissue engineering

Identifiers

PMID37323480
PMCPMC10261160

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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.