posted on 2020-09-29, 21:31authored byFenghua Zhang, Tianheng Zhao, Daniel Ruiz-Molina, Yanju Liu, Claudio Roscini, Jinsong Leng, Stoyan K. Smoukov
From
smart self-tightening sutures and expandable stents to morphing
airplane wings, shape memory structures are increasingly present in
our daily life. The lack of methods for synthesizing intricate structures
from them on the micron and submicron level, however, is stopping
the field from developing. In particular, the methods for the synthesis
of shape memory polymers (SMPs) and structures at this scale and the
effect of new geometries remain unexplored. Here, we describe the
synthesis of shape memory polyurethane (PU) capsules accomplished
by interfacial polymerization of emulsified droplets. The emulsified
droplets contain the monomers for the hard segments, while the continuous
aqueous phase contains the soft segments. A trifunctional chemical
cross-linker for shape memory PU synthesis was utilized to eliminate
creep and improve the recovery ratios of the final capsules. We observe
an anomalous dependence of the recovery ratio with the amount of programmed
strain compared to previous SMPs. We develop quantitative characterization
methods and theory to show that when dealing with thin-shell objects,
alternative parameters to quantify recovery ratios are needed. We
show that while achieving 94–99% area recovery ratios, the
linear capsule recovery ratios can be as low as 70%. This quantification
method allows us to convert from observed linear aspect ratios in
capsules to find out unrecovered area strain and stress. The hollow
structure of the capsules grants high internal volume for some applications
(e.g., drug delivery), which benefit from much higher loading of active
ingredients than polymeric particles. The methods we developed for
capsule synthesis and programming could be easily scaled up for larger
volume applications.