Lifeboat Foundation

Nano-ZnO is a potential catalyst material for carbon dioxide electrocatalytic reduction (CO₂RR), but its effective Faraday efficiency (FE) is still below 90% and the current density is less than 300 mA cm^-2, which is not enough to meet industrial requirements.

A new study published in Chem Catalysis reported on ZnO nanorods for electrocatalytic CO₂RR, which after 500°C heat-treatment, achieved the highest oxygen vacancy content, the highest FE_CO of 98.3%, and a partial current density of 786.56 mA cm^-2 in a 3 M KCl electrolyte.

The research was conducted by Prof. Wu Zhonghua and Dr. Xing Xueqing from the Institute of High Energy Physics of the Chinese Academy of Sciences (CAS) and Prof. Han Buxing from the Institute of Chemistry of CAS.

Advance paves the way for broad applications in medicine and biotech. Researchers from the UCLA Samueli School of Engineering and the University of Rome Tor Vergata in Italy have developed synthetic genes that function like the genes in living cells.

The artificial genes can build intracellular structures through a cascading sequence that builds self-assembling structures piece by piece. The approach is similar to building furniture with modular units, much like those found at IKEA. Using the same parts, one can build many different things and it’s easy to take the set apart and reconstruct the parts for something else. The discovery offers a path toward using a suite of simple building blocks that can be programmed to make complex biomolecular materials, such as nanoscale tubes from DNA tiles. The same components can also be programmed to break up the design for different materials.

The research study was recently published in Nature Communications and led by Elisa Franco, a professor of mechanical and aerospace engineering and bioengineering at UCLA Samueli. Daniela Sorrentino, a postdoctoral scholar in Franco’s Dynamic Nucleic Acid Systems lab, is the study’s first author.

Neuroscience aficionados may enjoy my preprint that compares leading imaging technologies for whole-brain mammalian connectomics, now with major updates/improvements: Link: arxiv.org/abs/2405.

Mammalian whole-brain connectomes at nanoscale synaptic resolution are a crucial ingredient for holistic understanding of brain function. Imaging these connectomes at sufficient resolution to densely reconstruct cellular morphology and synapses represents a longstanding goal in neuroscience. Although the technologies needed to reconstruct whole-brain connectomes have not yet reached full maturity, they are advancing rapidly enough that the mouse brain might be within reach in the near future. Detailed exploration of these technologies is warranted to help plan projects with varying goals and requirements. Whole-brain human connectomes remain a more distant goal yet are worthy of consideration to orient large-scale neuroscience program plans. Here, we quantitatively compare existing and emerging imaging technologies that have potential to enable whole-brain mammalian connectomics.

Researchers have significantly accelerated ion movement using nanotechnology, potentially improving technologies from battery charging to biosensing.

This breakthrough at Washington State University and Lawrence Berkeley National Laboratory involves creating a nanochannel lined with molecules that attract ions, allowing them to move over ten times faster than before. This development could revolutionize energy storage and help detect environmental pollutants or neurological activities.

Breaking Speed Records With Nanoscience

A recent study by researchers identifies pterostilbene nanoliposomes (PT-NLPs) which addresses long-standing challenges with pterostilbene.

Contrary to conventional wisdom, a lattice of engineered nanoparticles called meta-atoms can have a chiral optical response even when each meta-atom is not chiral.

A new method enables researchers to analyze magnetic nanostructures with a high resolution. It was developed by researchers at Martin Luther University Halle-Wittenberg (MLU) and the Max Planck Institute of Microstructure Physics in Halle.

The new method achieves a resolution of around 70 nanometers, whereas normal light microscopes have a resolution of just 500 nanometers. This result is important for the development of new, energy-efficient storage technologies based on spin electronics. The team reports on its research in the current issue of the journal ACS Nano.

Normal optical microscopes are limited by the wavelength of light and details below around 500 nanometers cannot be resolved. The new method overcomes this limit by utilizing the anomalous Nernst effect (ANE) and a metallic nano-scale tip. ANE generates an electrical voltage in a magnetic metal that is perpendicular to the magnetization and a temperature gradient.

Researchers from Seoul National University College of Engineering announced they have developed an optical design technology that dramatically reduces the volume of cameras with a folded lens system utilizing “metasurfaces,” a next-generation nano-optical device.

By arranging metasurfaces on the glass substrate so that light can be reflected and moved around in the glass substrate in a folded manner, the researchers have realized a lens system with a thickness of 0.7mm, which is much thinner than existing refractive lens systems. The research was published on Oct. 30 in the journal Science Advances.

Traditional cameras are designed to stack multiple glass lenses to refract light when capturing images. While this structure provided excellent high-quality images, the thickness of each lens and the wide spacing between lenses increased the overall bulk of the camera, making it difficult to apply to devices that require ultra-compact cameras, such as virtual and augmented reality (VR-AR) devices, smartphones, endoscopes, drones, and more.

Tissues take shape during development through a series of morphogenetic movements guided by local cell-scale forces. While current in vitro approaches subjecting tissues to homogenous stresses, it is currently no possible to recapitulate highly local spatially varying forces. Here we develop a method for local actuation of organoids using embedded magnetic nanoparticles. Sequential aggregation of magnetically labelled human pluripotent stem cells followed by actuation by a magnetic field produces localized magnetic clusters within the organoid. These clusters impose local mechanical forces on the surrounding tissue in response to applied global magnetic fields. We show that precise, spatially defined actuation provides short-term mechanical tissue perturbations as well as long-term cytoskeleton remodeling. We demonstrate that local magnetically-driven actuation guides asymmetric growth and proliferation, leading to enhanced patterning in human neural organoids. We show that this approach is applicable to other model systems by observing polarized patterning in paraxial mesoderm organoids upon local magnetic actuation. This versatile approach allows for local, controllable mechanical actuation in multicellular constructs, and is widely applicable to interrogate the role of local mechanotransduction in developmental and disease model systems.

The authors have declared no competing interest.