Evidence map›Paper›PMID 40859412›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

Universal 3D-Printing of Suspended Metal Oxide Nanowire Arrays on MEMS for AI-Optimized Combinatorial Gas Fingerprinting.

Yu Liu, Kichul Lee, Hongjun Liu, Chenwei Li, Xiaoyi Zeng, Rongyue Liu, Yulong Chen, Zijun Chen, Jihyuk Yang, Xiao Huan and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Enabling Scalable Nanoscale 3D Printing via Laser-Driven Termination.Small (Weinheim an der Bergstrasse, Germany) · 2026
    Article
  2. Article
  3. Article
  4. 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

13 authors.

Yu LiuThe Greater Bay Area University Joint Laboratory of Micro- and Nanofabrication, Department of Materials Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055, China.
Kichul LeeDepartment of Mechanical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea.
Hongjun LiuThe Greater Bay Area University Joint Laboratory of Micro- and Nanofabrication, Department of Materials Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055, China.
Chenwei LiThe Greater Bay Area University Joint Laboratory of Micro- and Nanofabrication, Department of Materials Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055, China.
Xiaoyi ZengThe Greater Bay Area University Joint Laboratory of Micro- and Nanofabrication, Department of Materials Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055, China.
Rongyue LiuThe Greater Bay Area University Joint Laboratory of Micro- and Nanofabrication, Department of Materials Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055, China.
Yulong ChenAdvanced Materials Innovation Center, Jiaxing Research Institute of Southern University of Science and Technology, Jiaxing, 314031, China.
Zijun ChenThe Greater Bay Area University Joint Laboratory of Micro- and Nanofabrication, Department of Materials Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055, China.
Jihyuk YangDepartment of Mechanical Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong, 999077, China.
Xiao HuanDepartment of Mechanical Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong, 999077, China.
Inkyu ParkDepartment of Mechanical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea.
Ji Tae KimDepartment of Mechanical Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong, 999077, China.ORCID https://orcid.org/0000-0003-4662-0179
Xing ChengThe Greater Bay Area University Joint Laboratory of Micro- and Nanofabrication, Department of Materials Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055, China.

Funding

Nano & Material Technology Development Program, the National Research Foundation of Korea (NRF), Ministry of Science and ICT RS-2024-00412249National Natural Science Foundation of China/Research Grants Council Joint Research Scheme N_HKU743/22National Research Foundation of Korea (NRF), the Korea government (MSIT) RS-2024-00407084National Research Foundation of Korea (NRF), the Korea government (MSIT) RS-2025-00556379Research Grants Council of Hong Kong 17200222Research Grants Council of Hong Kong 17204020Research Grants Council of Hong Kong 17208919Shenzhen Science and Technology Innovation Program RCJC20200714114436046Taizhou Innovation Center in ShenzhenUniversity Research Committee, University of Hong Kong 201910159047University Research Committee, University of Hong Kong 202111159097
6 · The paper itself

Abstract

Additive manufacturing technology has the potential to provide great versatility in the design and fabrication of sensing devices. This prerequisite necessitates further technological improvement in precision and material diversity. Here, a universal meniscus-guided 3D printing method is reported that can fabricate freestanding metal oxide semiconducting nanowires with programmed compositions and compatible substrate options at the single-entity level. By studying printing process and ink compositions, polycrystalline metal oxide (MOX) nanowires with controlled shapes and tunable diameters down to 180 nm are achieved. The method enables a high-precision, mask-free printing of MOXs nanowire arches array on a 1.5 µm thick suspended membrane, paving the way for integrating a micro-electromechanical systems (MEMS) chemiresistive gas sensor. The diversity of 3D printable materials demonstrated in this study covers 24 types of combination MOX nanowires, including TiO

Indexed as

3D printingsconvolutional neural network (CNN)‐based predictiongas sensorsmetal oxide nanowire

Identifiers

PMID40859412
PMCPMC12631845

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.