Article
Leaf-Inspired Self-Healing Polymers
Ying Yang,1 Dmitriy Davydovich,1 Chris C. Hornat,1 Xiaolin Liu,1 and Marek W. Urban1,2,3,
SUMMARY
The Bigger Picture
Developments of self-healing
polymers are primarily driven by
the desire to prolong materials’
lifetime while maintaining their
functions. Significant synthetic
efforts have been made over the
last two decades via the
Hierarchical multiphase fibrous morphologies provide strength and elasticity
for biological species, facilitating responses to environmental changes. Wound
closure of leaves is one example. If polymers can be formed in a similar manner
by introducing multiphase-separated morphologies, self-healing in a variety of
commodity materials can be achieved. In these studies, we demonstrate the role
of phase morphologies, interphases, and viscoelasticity-driven shape memory
effects on self-healing. We synthesized phase-separated polycaprolactone-
polyurethane fibrous thermoplastic polymers in which microphase separation
facilitates the formation of stable interfacial regions between hard and soft seg-
ments. Self-healing can be repeated many times. This behavior is attributed to
the shape memory effect, given that micron-scale interphase reduces chain slip-
page, enabling entropic energy storage during damage. Chemically identical
but nanophase-separated copolymers do not exhibit this behavior. These
studies show that self-healing can be achieved by morphology control and facil-
itated by thermal or other volume-induced transitions.
incorporation of dynamic bonds
capable of reversible breaking
and reforming. However, the role
of physical network design in
achieving self-healing properties
in commodity polymers remains
unclear.
Inspired by the self-healing
behavior of leaves, we built self-
healing into polycaprolactone-
polyurethane fibers by controlling
morphological features.
INTRODUCTION
Biological species are able to self-repair repeatedly and autonomously on multiple
scale lengths, from DNA macromolecules to larger organs, such as veins, soft
or hard tissues, and muscles. Over the last couple of decades, numerous studies
have focused on mimicking biological systems to develop self-healing materials.
The main motivation behind these efforts is to prolong the lifespan while retaining
desired functions of man-made materials. Recent advances in materials capable of
self-healing can be classified by a handful of approaches: (1) embedding reactive
encapsulated fluids that burst open upon crack propagation to fill and repair
damaged areas,1,2 (2) incorporating reversible covalent and non-covalent bonds
into existing structures capable of rebonding after damage,3–16 (3) physically
dispersing superparamagnetic or other nanomaterials that remotely respond to
magnetic, electromagnetic, or other energy sources,17,18 and (4) embedding living
organisms capable of re-mending damaged structural features.19,20 Although
these inherently different chemical and physical approaches significantly advanced
our understanding of synthetic self-healing materials, biological systems are
capable of on-demand self-healing with an incredible degree of efficiency. One
example is healing upon mechanical damage of the Delosperma cooperi leaves
shown in Figure 1A, where wounds can be closed within 60 min by tissue bending
or contraction. This response is believed to be due to stored elastic stress built-
in within the heterogeneous structure during growth.21 When the equilibrium
is disturbed by mechanical damage the energy will be released, causing
viscoelastic shape transformation, bringing the wound edges into contact to
heal. Similarly, in mammals, microstructural heterogeneity in cancellous bones is
responsible for enhanced shape recovery upon mechanical deformations.22
Achieving similar functions in real-world polymer-based materials is challenging
Favorable viscoelastic properties
originating from interphase
features facilitate shape memory
effects and lead to autonomous
damage closure and subsequent
self-healing. The creation of
morphology-controlled dynamic
polymers can be utilized in
numerous applications ranging
from soft robotics to molecular
actuators or morphology-induced
information storage to
thermomechanical sensing and
other devices.
Chem 4, 1–9, August 9, 2018 ª 2018 Elsevier Inc.
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