25 research outputs found
Chemo-Mechanically Regulated Oscillation of an Enzymatic Reaction
Chemo-Mechanically Regulated
Oscillation of an Enzymatic
Reactio
Chemo-Mechanically Regulated Oscillation of an Enzymatic Reaction
Chemo-Mechanically Regulated
Oscillation of an Enzymatic
Reactio
Harnessing Cooperative Interactions between Thermoresponsive Aptamers and Gels To Trap and Release Nanoparticles
We use computational modeling to
design a device that can controllably trap and release particles in
solution in response to variations in temperature. The system exploits
the thermoresponsive properties of end-grafted fibers and the underlying
gel substrate. The fibers mimic the temperature-dependent behavior
of biological aptamers, which form a hairpin structure at low temperatures
(T) and unfold at higher T, consequently
losing their binding affinity. The gel substrate exhibits a lower
critical solution temperature and thus, expands at low temperatures
and contracts at higher T. By developing a new dissipative
particle dynamics simulation, we examine the behavior of this hybrid
system in a flowing fluid that contains buoyant nanoparticles. At
low T, the expansion of the gel causes the hairpin-shaped
fibers to extend into the path of the fluid-driven particle. Exhibiting
a high binding affinity for these particles at low temperature, the
fibers effectively trap and extract the particles from the surrounding
solution. When the temperature is increased, the unfolding of the
fiber and collapse of the supporting gel layer cause the particles
to be released and transported away from the layer by the applied
shear flow. Since the temperature-induced conformational changes of
the fiber and polymer gel are reversible, the system can be used repeatedly
to “catch and release” particles in solution. Our findings
provide guidelines for creating fluidic devices that are effective
at purifying contaminated solutions or trapping cells for biological
assays
Biomimetic Hydrogel Composites for Soil Stabilization and Contaminant Mitigation
We
have developed a novel method to synthesize a hyper-branched
biomimetic hydrogel network across a soil matrix to improve the mechanical
strength of the loose soil and simultaneously mitigate potential contamination
due to excessive ammonium. This method successfully yielded a hierarchical
structure that possesses the water retention, ion absorption, and
soil aggregation capabilities of plant root systems in a chemically
controllable manner. Inspired by the robust organic–inorganic
composites found in many living organisms, we have combined this hydrogel
network with a calcite biomineralization process to stabilize soil.
Our experiments demonstrate that poly(acrylic acid) (PAA) can work
synergistically with enzyme-induced carbonate precipitation (EICP)
to render a versatile, high-performance soil stabilization method.
PAA-enhanced EICP provides multiple benefits including lengthening
of water supply time, localization of cementation reactions, reduction
of harmful byproduct ammonium, and achievement of ultrahigh soil strength.
Soil crusts we have obtained can sustain up to 4.8 × 10<sup>3</sup> kPa pressure, a level comparable to cementitious materials. An ammonium
removal rate of 96% has also been achieved. These results demonstrate
the potential for hydrogel-assisted EICP to provide effective soil
improvement and ammonium mitigation for wind erosion control and other
applications
Biomimetic Hydrogel Composites for Soil Stabilization and Contaminant Mitigation
We
have developed a novel method to synthesize a hyper-branched
biomimetic hydrogel network across a soil matrix to improve the mechanical
strength of the loose soil and simultaneously mitigate potential contamination
due to excessive ammonium. This method successfully yielded a hierarchical
structure that possesses the water retention, ion absorption, and
soil aggregation capabilities of plant root systems in a chemically
controllable manner. Inspired by the robust organic–inorganic
composites found in many living organisms, we have combined this hydrogel
network with a calcite biomineralization process to stabilize soil.
Our experiments demonstrate that poly(acrylic acid) (PAA) can work
synergistically with enzyme-induced carbonate precipitation (EICP)
to render a versatile, high-performance soil stabilization method.
PAA-enhanced EICP provides multiple benefits including lengthening
of water supply time, localization of cementation reactions, reduction
of harmful byproduct ammonium, and achievement of ultrahigh soil strength.
Soil crusts we have obtained can sustain up to 4.8 × 10<sup>3</sup> kPa pressure, a level comparable to cementitious materials. An ammonium
removal rate of 96% has also been achieved. These results demonstrate
the potential for hydrogel-assisted EICP to provide effective soil
improvement and ammonium mitigation for wind erosion control and other
applications
Visualizing Morphogenesis through Instability Formation in 4‑D Printing
Heterogeneous growth in a myriad of biological systems
can lead
to the formation of distinct morphologies during the maturation processes
of different species. We demonstrate that the distinct circumferential
buckling observed in pumpkins can be reproduced by a core–shell
barrel structure using four-dimensional (4D) printing, taking advantage
of digital light processing (DLP)-based three-dimensional (3D) printing
and stimulus-responsive hydrogels. The mechanical mismatch between
the stiff core and compliant shell results in buckling instability
on the surface. The initiation and development of the buckling are
governed by the ratio of core/shell radius, the ratio of core/shell
swelling ratios, and the mismatch between the core and shell in stiffness.
Furthermore, the rigid core not only acts as a source of circumferential
confinement but also sets a boundary at the poles of the entire structure.
The heterogeneous structures with controllable buckling geometrically
and structurally behave much like plants’ fruits. This replicates
the biological morphologic change and elucidates the general mechanism
and dynamics of the complex instability formation of heterogeneous
3D objects
Toward Rapid Detection of Trace Lead and Cadmium by Anodic Stripping Voltammetry in Complex Wastewater Streams
Heavy metals (HMs), such as lead
(Pb) and cadmium (Cd), in municipal
wastewater (MWW) limit its use as an alternative water resource. Therefore,
monitoring HM concentrations in MWW is critical to evaluating potential
reuse applications. However, current metal detection methods rely
on grab-sampling and analysis on complicated laboratory-based analytical
chemistry instruments, limiting sampling frequency. Anodic stripping
voltammetry (ASV) is a promising measurement alternative. However,
HMs in MWW are found as complexes and/or sorbed onto particles, and
are thus not detectable by ASV. In this study, we develop a processing
method that enables the detection of HMs using ASV. In this method,
HM-containing MWW is pretreated by either vacuum ultraviolet (VUV)/H2O2(Cd) or a strong acid (Pb), which releases the
bound HMs. HMs are then accurately detected and quantified using ASV
by utilizing a bismuth subcarbonate/reduced graphene oxide nanocomposite
incorporated in a Nafion matrix electrode. The resulting sensing process
is able to detect trace concentrations of Cd and Pb in both synthetic
and real MWW samples. Detection results were benchmarked against state-of-the-art
metal detection methods, and were found to be highly accurate (>88%).
This pretreatment and detection method enables utilities and end-users
to frequently monitor HM concentrations in complex streams
All-Fabric Capacitive Pressure Sensors with Piezoelectric Nanofibers for Wearable Electronics and Robotic Sensing
Flexible pressure sensors are increasingly sought after
for applications
ranging from physiological signal monitoring to robotic sensing; however,
the challenges associated with fabricating highly sensitive, comfortable,
and cost-effective sensors remain formidable. This study presents
a high-performance, all-fabric capacitive pressure sensor (AFCPS)
that incorporates piezoelectric nanofibers. Through the meticulous
optimization of conductive fiber electrodes and P(VDF-TrFE) nanofiber
dielectric layers, the AFCPS exhibits exceptional attributes such
as high sensitivity (4.05 kPa–1), an ultralow detection
limit (0.6 Pa), an extensive detection range (∼100 kPa), rapid
response time (14,000 cycles).
The sensor’s porous structure enhances its compressibility,
while its piezoelectric properties expedite charge separation, thereby
increasing the interface capacitance and augmenting overall performance.
These features are elucidated further through multiphysical field-coupling
simulations and experimental testing. Owing to its comprehensive superior
performance, the AFCPS has demonstrated its efficacy in monitoring
human activity and physiological signals, as well as in discerning
soft robotic grasping movements. Additionally, we have successfully
implemented multiple AFCPS units as pressure sensor arrays to ascertain
spatial pressure distribution and enable intelligent robotic gripping.
Our research underscores the promising potential of the AFCPS device
in wearable electronics and robotic sensing, thereby contributing
significantly to the advancement of high-performance fabric-based
sensors
Photoinduced Dual Shape Programmability of Covalent Adaptable Networks with Remarkable Mechanical Properties
As
classic shape memory polymers featuring shape reconfiguration
of temporary state, covalent adaptable networks containing reversible
bonds can enable permanent-state reconfigurability through topological
rearrangement via dynamic bond exchange. Yet, such an attractive dual
shape programmability is limited by the actuation mode of direct heat
transfer and poor mechanical properties, restricting its control precision
and functionality. Herein, we presented a method to create nanocomposites
with photomodulated dual shape programmability and remarkable mechanical
properties leading the fields of covalent adaptable networks. MXene,
whose photothermal efficiency was revealed to be regulated by the
etching method and delamination, was introduced into polyurethane
networks. Upon adjusting the light intensity, the dual shape programmability
of both permanent and temporary states could be accomplished, which
exhibited potential in information recognition, photowriting paper, etc. Furthermore, owing to the dynamic transcarbamoylation
at elevated temperatures, such a phototriggered dual shape programmability
could be maintained after the self-healing and reprocessing
Photoinduced Dual Shape Programmability of Covalent Adaptable Networks with Remarkable Mechanical Properties
As
classic shape memory polymers featuring shape reconfiguration
of temporary state, covalent adaptable networks containing reversible
bonds can enable permanent-state reconfigurability through topological
rearrangement via dynamic bond exchange. Yet, such an attractive dual
shape programmability is limited by the actuation mode of direct heat
transfer and poor mechanical properties, restricting its control precision
and functionality. Herein, we presented a method to create nanocomposites
with photomodulated dual shape programmability and remarkable mechanical
properties leading the fields of covalent adaptable networks. MXene,
whose photothermal efficiency was revealed to be regulated by the
etching method and delamination, was introduced into polyurethane
networks. Upon adjusting the light intensity, the dual shape programmability
of both permanent and temporary states could be accomplished, which
exhibited potential in information recognition, photowriting paper, etc. Furthermore, owing to the dynamic transcarbamoylation
at elevated temperatures, such a phototriggered dual shape programmability
could be maintained after the self-healing and reprocessing
