Adaptive Textiles Based on Recyclable High-Shrinkage Polyester for Personal Thermal Management

Conventional textiles face a significant challenge in maintaining personal thermal comfort under dynamically changing ambient temperatures, due to their intrinsic static thermal management mechanisms. To address this, an adaptive nanofiber membrane was developed based on recyclable high-shrinkage polyester (HSPET). This membrane achieves efficient "heating-cooling" bimodal switching through the synergistic effect of thermochromic microcapsules (TCMCs) and poly(dimethylsiloxane) (PDMS). At low temperatures, the membrane darkens to enhance solar energy absorption. At elevated temperatures, it lightens in color and, synergistically with the high infrared emissivity of PDMS, enables efficient solar reflection and radiative cooling. Outdoor testing revealed that the HSPET NMs exhibited a temperature increase of 4.62 °C and a decrease of 5.27 °C relative to control samples. Furthermore, the membrane exhibits excellent mechanical strength coupled with hydrophobic self-cleaning properties, ensuring reliability for practical applications. This work not only presents a high-performance bidirectional thermal management material but also proposes a novel pathway for the high-value resource utilization of waste polymers.

Authors

Institutions

Publication Details

Journal
ACS Applied Materials & Interfaces
Published
2026-05-29
DOI
https://doi.org/10.1021/acsami.6c04494
Primary Topic
Architecture and Computational Design
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Adaptive Textiles Based on Recyclable High-Shrinkage Polyester for Personal Thermal Management

Y B Zhang, Qian Jiang, Yihan Lu, Zongjie Li et al.
ACS Applied Materials & Interfaces
Architecture and Computational Design
article

Adaptive Textiles Based on Recyclable High-Shrinkage Polyester for Personal Thermal Management

Y B Zhang, Qian Jiang, Yihan Lu, Zongjie Li, Zhiwei Hou, Yongyao Xiao
article en

Abstract

Conventional textiles face a significant challenge in maintaining personal thermal comfort under dynamically changing ambient temperatures, due to their intrinsic static thermal management mechanisms. To address this, an adaptive nanofiber membrane was developed based on recyclable high-shrinkage polyester (HSPET). This membrane achieves efficient "heating-cooling" bimodal switching through the synergistic effect of thermochromic microcapsules (TCMCs) and poly(dimethylsiloxane) (PDMS). At low temperatures, the membrane darkens to enhance solar energy absorption. At elevated temperatures, it lightens in color and, synergistically with the high infrared emissivity of PDMS, enables efficient solar reflection and radiative cooling. Outdoor testing revealed that the HSPET NMs exhibited a temperature increase of 4.62 °C and a decrease of 5.27 °C relative to control samples. Furthermore, the membrane exhibits excellent mechanical strength coupled with hydrophobic self-cleaning properties, ensuring reliability for practical applications. This work not only presents a high-performance bidirectional thermal management material but also proposes a novel pathway for the high-value resource utilization of waste polymers.

ACS Applied Materials & Interfaces
Tiangong University (CN), Textile Research Institute (US), Jiangsu Hengrui Medicine (China) (CN)
National Natural Science Foundation of China, China Postdoctoral Science Foundation, Natural Science Foundation of Tianjin City, Tianjin Science and Technology Committee
Openalex Percentile: Top 2%
Architecture and Computational Design
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.