Evidence map›Paper›PMID 41513834›Full record

ReviewNano-micro letters2026

Functionalized Wood: A Green Nanoengineering Platform for Sustainable Technologies.

Tuo Zhang, Mingwei Gu, Yizhu Liu, Guangyao Chen, Haiyang Zhang, Liguo Chen, Xingwen Zhou, Lining Sun, Zhen Wen, Yunlei Zhou and 1 more

Abstract readReview
In one paragraph

Review in Nano-micro letters, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

11 authors.

Tuo Zhang *Institute of Mechanical and Electric Engineering, Jiangsu Province Key Laboratory of Embodied Intelligence Robotics Technology, Soochow University, Suzhou, Jiangsu, 215123, People's Republic of China.
Mingwei Gu *Institute of Mechanical and Electric Engineering, Jiangsu Province Key Laboratory of Embodied Intelligence Robotics Technology, Soochow University, Suzhou, Jiangsu, 215123, People's Republic of China.
Yizhu LiuInstitute of Mechanical and Electric Engineering, Jiangsu Province Key Laboratory of Embodied Intelligence Robotics Technology, Soochow University, Suzhou, Jiangsu, 215123, People's Republic of China.
Guangyao ChenInstitute of Mechanical and Electric Engineering, Jiangsu Province Key Laboratory of Embodied Intelligence Robotics Technology, Soochow University, Suzhou, Jiangsu, 215123, People's Republic of China.
Haiyang ZhangInstitute of Mechanical and Electric Engineering, Jiangsu Province Key Laboratory of Embodied Intelligence Robotics Technology, Soochow University, Suzhou, Jiangsu, 215123, People's Republic of China.
Liguo ChenInstitute of Mechanical and Electric Engineering, Jiangsu Province Key Laboratory of Embodied Intelligence Robotics Technology, Soochow University, Suzhou, Jiangsu, 215123, People's Republic of China.
Xingwen ZhouInstitute of Mechanical and Electric Engineering, Jiangsu Province Key Laboratory of Embodied Intelligence Robotics Technology, Soochow University, Suzhou, Jiangsu, 215123, People's Republic of China.
Lining SunInstitute of Mechanical and Electric Engineering, Jiangsu Province Key Laboratory of Embodied Intelligence Robotics Technology, Soochow University, Suzhou, Jiangsu, 215123, People's Republic of China.
Zhen WenInstitute of Functional Nano and Soft Materials (FUNSOM), Jiangsu Key Laboratory for Carbon-Based Functional Materials & Devices, Soochow University, Suzhou, Jiangsu, 215123, People's Republic of China. wenzhen2011@suda.edu.cn.
Yunlei ZhouHangzhou Institute of Technology, Xidian University, Hangzhou, 311231, People's Republic of China. zhouyunlei@xidian.edu.cn.
Haibo HuangInstitute of Mechanical and Electric Engineering, Jiangsu Province Key Laboratory of Embodied Intelligence Robotics Technology, Soochow University, Suzhou, Jiangsu, 215123, People's Republic of China. hbhuang@suda.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wood, once regarded primarily as a structural material, possesses rich physicochemical complexity that has long been underexplored. In the context of industrialization and carbon imbalance, it is now emerging as a renewable and multifunctional platform for green nanotechnologies. Recent advances in wood nanotechnology have enabled the transformation of natural wood into programmable substrates with tailored nanoarchitectures, establishing it as a representative class of bio-based nanomaterials. This review systematically categorizes wood-specific nanoengineering strategies-including thermal carbonization, laser-induced graphenization, targeted delignification, nanomaterial integration, and mechanical processing-highlighting their mechanisms and impacts on wood's multiscale structural and functional properties. Importantly, these functionalization strategies can be flexibly combined in a modular, "Lego-like" manner, enabling wood to be reconfigured and optimized for diverse application scenarios. We summarize recent progress in applying functionalized wood to sustainable technologies such as energy storage (e.g., metal-ion batteries, Zn-air systems, supercapacitors), water treatment (e.g., adsorption, photothermal filtration, catalytic degradation), and energy conversion (e.g., solar evaporation, ionic thermoelectrics, hydrovoltaics, and triboelectric nanogenerators). These studies reveal how nanoengineered wood structures can enable efficient charge transport, selective adsorption, and enhanced light-to-heat conversion. Finally, the review discusses current challenges-such as scalable fabrication, material integration, and long-term environmental stability-and outlines future directions for the development of wood-based platforms in next-generation green energy and environmental systems.

Indexed as

Bio-based nanomaterialsEnergy conversionEnergy storageFunctionalized woodWater purification

Identifiers

PMID41513834
PMCPMC12789373

What OpenQuestion holds

Textmetadata
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.