Evidence map›Paper›PMID 40977033›Full record

ArticleACS applied materials & interfaces2025

Wood-Based Oriented Object Deposition for Programmable Mechanical and 3D Fluidic Control.

Yeonsoo Kim, Donghyeok Kang, Sungchul Shin

Abstract read
In one paragraph

Article in ACS applied materials & interfaces, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Yeonsoo KimDepartment of Agriculture, Forestry, and Bioresources, Seoul National University, Seoul 08826, Republic of Korea.
Donghyeok KangDepartment of Agriculture, Forestry, and Bioresources, Seoul National University, Seoul 08826, Republic of Korea.
Sungchul ShinDepartment of Agriculture, Forestry, and Bioresources, Seoul National University, Seoul 08826, Republic of Korea.ORCID 0000-0001-6957-6428

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aligned fibrous architecture and intrinsic porosity of natural wood offer unique opportunities for constructing mechanically anisotropic and capillary-active structures. However, existing additive manufacturing techniques face challenges in preserving these structural characteristics, which limits the extent to which they can be leveraged in complex functional architectures. Here, we present Wood-based Oriented Object Deposition (WOOD), a 3D printing approach that integrates delignified wood sheets and digital light processing (DLP) to fabricate structures with preserved anisotropy and porosity. Sliced wood layers are impregnated with photocurable monomer, aligned, and selectively photopolymerized, enabling directional control of mechanical and fluidic properties. We further establish processing criteria for hybridizing delignified wood with photocurable monomer, ensuring sufficient light transmission, deep curing, and structural fidelity. Densification improves printing resolution by allowing finer layer stacking and reducing surface artifacts such as stair-stepping. By aligning fiber orientation across layers, we achieve programmable deformation for origami-inspired architectures with integrated flexibility and rigidity. Additionally, vertically laminated structures support 3D fluidic control, enabling pressure-actuated flow switching and spatially resolved pH sensing. WOOD offers a scalable and sustainable platform that unites the structural advantages of natural wood with the precision of additive manufacturing, unlocking possibilities in bioinspired materials, microfluidic devices, and multifunctional composites.

Indexed as

densificationDLP 3D printingmicrofluidic devicesporous and aligned structurewood-based additive manufacturing

Identifiers

PMID40977033
PMCPMC12492322

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.