Evidence map›Paper›PMID 40213057›Full record

ArticleAdvanced materials technologies2025

Multi-material Gradient Printing Using Meniscus-enabled Projection Stereolithography (MAPS).

Puskal Kunwar, Arun Poudel, Ujjwal Aryal, Rui Xie, Zachary J Geffert, Haven Wittmann, Daniel Fougnier, Tsung Hsing Chiang, Mathew M Maye, Zhen Li and 1 more

Abstract read
In one paragraph

Article in Advanced materials technologies, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. 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

11 authors.

Puskal KunwarSyracuse University, Biomedical, and Chemical Engineering Department, Syracuse, New York, 13210, USA.
Arun PoudelSyracuse University, Biomedical, and Chemical Engineering Department, Syracuse, New York, 13210, USA.
Ujjwal AryalSyracuse University, Biomedical, and Chemical Engineering Department, Syracuse, New York, 13210, USA.
Rui XieSyracuse University, Biomedical, and Chemical Engineering Department, Syracuse, New York, 13210, USA.
Zachary J GeffertSyracuse University, Biomedical, and Chemical Engineering Department, Syracuse, New York, 13210, USA.
Haven WittmannSyracuse University, Biomedical, and Chemical Engineering Department, Syracuse, New York, 13210, USA.
Daniel FougnierSyracuse University, Biomedical, and Chemical Engineering Department, Syracuse, New York, 13210, USA.
Tsung Hsing ChiangSyracuse University, Department of Chemistry, Syracuse, New York, 13210, USA.
Mathew M MayeSyracuse University, Department of Chemistry, Syracuse, New York, 13210, USA.
Zhen LiClemson University, Department of Mechanical Engineering, Clemson, SC 29634.
Pranav SomanSyracuse University, Biomedical, and Chemical Engineering Department, Syracuse, New York, 13210, USA.

Funding

High-Throughput Single Cell MechanomicsR21GM141573 · NIGMS · SYRACUSE UNIVERSITY · PI SOMAN, PRANAV · 2021 to 2022
$430k
NIGMS NIH HHS R21 GM141573
6 · The paper itself

Abstract

Light-based additive manufacturing methods have been widely used to print high-resolution 3D structures for applications in tissue engineering, soft robotics, photonics, and microfluidics, among others. Despite this progress, multi-material printing with these methods remains challenging due to constraints associated with hardware modifications, control systems, cross-contamination, waste, and resin properties. Here, we report a new printing platform coined Meniscus-enabled Projection Stereolithography (MAPS), a vat-free method that relies on generating and maintaining a resin meniscus between a crosslinked structure and bottom window to print lateral, vertical, discrete, or gradient multi-material 3D structures with no waste and user-defined mixing between layers. We show that MAPS is compatible with a wide range of resins and can print complex multi-material 3D structures without requiring specialized hardware, software, or complex washing protocols. MAPS's ability to print structures with microscale variations in mechanical stiffness, opacity, surface energy, cell densities, and magnetic properties provides a generic method to make advanced materials for a broad range of applications.

Indexed as

bioprintingdigital light processinggradient printingmeniscusmulti-material printingnano-material printing

Identifiers

PMID40213057
PMCPMC11981634

What OpenQuestion holds

Textmetadata
LicenceTDM
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.