Evidence map›Paper›PMID 36324737›Full record

ArticleAdvanced functional materials2022

Recent Advances in 3D Printing of Biomedical Sensing Devices.

Md Azahar Ali, Chunshan Hu, Eric A Yttri, Rahul Panat

Abstract read
In one paragraph

Article in Advanced functional materials, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing 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

58 citing papers in PubMed.

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  18. Aerosol Jet Printing for Neuroprosthetic Device Development.Bioengineering (Basel, Switzerland) · 2025
    Review
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  20. 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

4 authors.

Md Azahar AliDepartment of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA 15238, USA.
Chunshan HuDepartment of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA 15238, USA.
Eric A YttriDepartment of Biological Sciences, Carnegie Mellon University, Pittsburgh, PA 15213, USA.
Rahul PanatDepartment of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA 15238, USA.

Funding

Customizable, Ultra-high Density Optic Fiber-paired Multielectrode Array by 3D Nanoparticle PrintingRF1NS110483 · NINDS · CARNEGIE-MELLON UNIVERSITY · PI PANAT, RAHUL · 2019 to 2019
$1.9M
NINDS NIH HHS RF1 NS110483
6 · The paper itself

Abstract

Additive manufacturing, also called 3D printing, is a rapidly evolving technique that allows for the fabrication of functional materials with complex architectures, controlled microstructures, and material combinations. This capability has influenced the field of biomedical sensing devices by enabling the trends of device miniaturization, customization, and elasticity (i.e., having mechanical properties that match with the biological tissue). In this paper, the current state-of-the-art knowledge of biomedical sensors with the unique and unusual properties enabled by 3D printing is reviewed. The review encompasses clinically important areas involving the quantification of biomarkers (neurotransmitters, metabolites, and proteins), soft and implantable sensors, microfluidic biosensors, and wearable haptic sensors. In addition, the rapid sensing of pathogens and pathogen biomarkers enabled by 3D printing, an area of significant interest considering the recent worldwide pandemic caused by the novel coronavirus, is also discussed. It is also described how 3D printing enables critical sensor advantages including lower limit-of-detection, sensitivity, greater sensing range, and the ability for point-of-care diagnostics. Further, manufacturing itself benefits from 3D printing via rapid prototyping, improved resolution, and lower cost. This review provides researchers in academia and industry a comprehensive summary of the novel possibilities opened by the progress in 3D printing technology for a variety of biomedical applications.

Indexed as

3D bio/chemical sensors3D printingbioprintingelectrophysiological sensorsfunctional sensorsmicrofluidic structuresneural probes

Identifiers

PMID36324737
PMCPMC9624470

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.