journal article·2026-06-24

In Situ Decoding of Vitrimer Topological Evolution: A Non-Invasive, External Stress-Free Approach via Hierarchical CNT Sensing Networks

Hongbo Dai, Baoyu Du, Yubo Zhao, Jieyang Qiu, Jianpeng Mou, Kun Peng, Shuai Liu, Yunsheng Xu

ACS Applied Materials & Interfaces· Volume 18· Issue 24
Publisher page

Abstract

Vitrimers are covalent adaptable networks (CANs) that undergo thermally activated topological rearrangement via dynamic bond exchange, enabling reprocessability and intrinsic self-healing. However, precise, real-time identification of the topological transition temperature ( T v ) remains challenging, as conventional methods are inherently stress- and protocol-dependent. Here, we present a hierarchically structured piezoresistive sensing strategy based on dual-scale CNT-integrated conductive networks. A mesoscale CNT-decorated glass fibrous web (G-CNT) and a nanoscale CNT/EPON percolation network are synergistically integrated to enable in situ, external-stress-free electrical tracking of disulfide-containing epoxy vitrimer network formation and topological transitions. These multiscale conductive architectures exhibit distinct resistance signatures throughout vitrimer evolution, with pronounced inflection features at T v arising from bond-exchange-driven rearrangements of conductive pathways. Comparative analysis reveals that interfacial G-CNT meso-networks fabricated via ultrasonic atomization exhibit substantially higher sensitivity, manifested by pronounced resistance decreases at T v (Δ R v = −10.9% to −20.0%), enabling instant detection of local topological rearrangements. In contrast, bulk CNT/EPON networks display attenuated resistance responses (Δ R v = −4.3% to −9.4%) associated with matrix-level percolation restructuring. These electrical signatures are corroborated by differential scanning calorimetry, dynamic mechanical analysis, rheology, and dielectric analysis, establishing a direct structure-dynamics-signal correlation. This stress-free, multiscale sensing paradigm provides a scalable route for intrinsic T v identification and process-aware diagnostics in recyclable and adaptive vitrimer-based composites.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Advanced Memory and Neural Computing · Ferroelectric and Negative Capacitance Devices · Advanced Sensor and Energy Harvesting Materials

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Materials Science and Engineering

Zhejiang Sci-Tech University

Zhejiang Provincial Innovation Center of Advanced Textile Technology

Funding

Science and Technology Department of Zhejiang Province · National Natural Science Foundation of China · Shaoxing Bureau of Science and Technology · Natural Science Foundation of Zhejiang Province

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