Evidence map›Paper›PMID 42474907›Full record

ArticleNano-micro letters2026

Unveiling Photo-Thermal-Electrical Performance in Robust, Self-Healing, and Anti-Freezing Cellulose-MXene Eutectogels for Advanced Hemostasis.

Chuang Jiang, Hengli Ning, Wei Liu, Zhikun Li, Huiwu Zhu, Long Li, Qingxi Hou, Chaoji Chen, Bowen Cheng

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nano-micro letters, 2026. 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

9 authors.

Chuang JiangState Key Laboratory of Bio-Based Fiber Materials, China Textile Industry Key Laboratory of High-Performance Fibers Wet-Laid Nonwoven Materials, Tianjin Key Laboratory of Pulp & Paper, Tianjin University of Science and Technology, Tianjin, 300457, People's Republic of China.
Hengli NingState Key Laboratory of Bio-Based Fiber Materials, China Textile Industry Key Laboratory of High-Performance Fibers Wet-Laid Nonwoven Materials, Tianjin Key Laboratory of Pulp & Paper, Tianjin University of Science and Technology, Tianjin, 300457, People's Republic of China.
Wei LiuState Key Laboratory of Bio-Based Fiber Materials, China Textile Industry Key Laboratory of High-Performance Fibers Wet-Laid Nonwoven Materials, Tianjin Key Laboratory of Pulp & Paper, Tianjin University of Science and Technology, Tianjin, 300457, People's Republic of China. weiliu@tust.edu.cn.
Zhikun LiState Key Laboratory of Bio-Based Fiber Materials, China Textile Industry Key Laboratory of High-Performance Fibers Wet-Laid Nonwoven Materials, Tianjin Key Laboratory of Pulp & Paper, Tianjin University of Science and Technology, Tianjin, 300457, People's Republic of China.
Huiwu ZhuState Key Laboratory of Bio-Based Fiber Materials, China Textile Industry Key Laboratory of High-Performance Fibers Wet-Laid Nonwoven Materials, Tianjin Key Laboratory of Pulp & Paper, Tianjin University of Science and Technology, Tianjin, 300457, People's Republic of China.
Long LiState Key Laboratory of Bio-Based Fiber Materials, China Textile Industry Key Laboratory of High-Performance Fibers Wet-Laid Nonwoven Materials, Tianjin Key Laboratory of Pulp & Paper, Tianjin University of Science and Technology, Tianjin, 300457, People's Republic of China. lilong@tust.edu.cn.
Qingxi HouState Key Laboratory of Bio-Based Fiber Materials, China Textile Industry Key Laboratory of High-Performance Fibers Wet-Laid Nonwoven Materials, Tianjin Key Laboratory of Pulp & Paper, Tianjin University of Science and Technology, Tianjin, 300457, People's Republic of China.
Chaoji ChenHubei Biomass-Resource Chemistry and Environmental Biotechnology Key Laboratory, Hubei Provincial Engineering Research Center of Emerging Functional Coating Materials, School of Resource and Environmental Sciences, Wuhan University, Wuhan, 430079, People's Republic of China. chenchaojili@whu.edu.cn.
Bowen ChengState Key Laboratory of Bio-Based Fiber Materials, China Textile Industry Key Laboratory of High-Performance Fibers Wet-Laid Nonwoven Materials, Tianjin Key Laboratory of Pulp & Paper, Tianjin University of Science and Technology, Tianjin, 300457, People's Republic of China. bowenc15@tust.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Uncontrolled hemorrhage, resulting from trauma or surgery, presents a critical challenge in medical care. This study introduces a novel eutectogel, a multifunctional material synthesized using choline chloride/phytic acid derived deep eutectic solvents (CP-DES)-mediated cellulose-MXene polyacrylamide, aimed at addressing hemostatic needs. The eutectogel combines photothermal and thermoelectric effects to accelerate hemorrhage control, significantly reducing blood loss and hemostasis time. Unlike existing hemostatic materials, our design leverages the synergistic effects of photothermal heating and thermoelectric current, enhancing coagulation and promoting tissue repair. The innovation lies in the integration of DES to stabilize MXene, optimizing its photothermal and thermoelectric properties, and enabling rapid gelation, self-healing, and anti-freezing capabilities. In vitro and in vivo tests demonstrate the material's superior performance in hemostasis compared to traditional gauze, highlighting its potential for trauma care and surgical applications. This approach sets a new paradigm in the development of advanced, multifunctional biomedical materials for hemostasis and beyond.

Indexed as

CelluloseDeep eutectic solventsHemostasisMXenePhotothermoelectric eutectogel

Identifiers

PMID42474907
PMCPMC13385548

What OpenQuestion holds

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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.