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Chemistry

“The Shape-Defying Liquid: A Surprising Discovery that Challenges the Laws of Thermodynamics”

A team of researchers led by a physics graduate student recently made the surprising discovery of what they call a ‘shape-recovering liquid,’ which defies some long-held expectations derived from the laws of thermodynamics. The research details a mixture of oil, water and magnetized particles that, when shaken, always quickly separates into what looks like the classically curvaceous lines of a Grecian urn.

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The Shape-Defying Liquid: A Surprising Discovery that Challenges the Laws of Thermodynamics

A team of researchers at the University of Massachusetts Amherst has made a groundbreaking discovery that appears to defy some long-held expectations derived from the laws of thermodynamics. Led by graduate student Anthony Raykh, the team has created a “shape-recovering liquid” that can separate into a Grecian urn-like shape when mixed with magnetized particles.

Imagine a batch of Italian salad dressing being shaken up before it’s poured onto your favorite salad. The mixture of oil, water, and spices allows these normally mutually exclusive liquids to mix together in an emulsification process. However, Raykh was experimenting with magnetized particles instead of spices, which led to the unexpected creation of this shape-recovering liquid.

When mixed and shaken, the liquid formed a beautiful, pristine urn-shape that always returned no matter how many times or hard it was shaken. The team, including professors Thomas Russell and David Hoagland, were surprised by this phenomenon and conducted further experiments to understand its cause.

Their collaborative effort determined that strong magnetism explains the inexplicable phenomenon. When looking closely at individual nanoparticles of magnetized nickel forming the boundary between water and oil, researchers found that they could get extremely detailed information on how different forms assemble.

In a twist, particles added to an oil-and-water mixture typically decrease the tension at the interface between the two liquids, allowing them to mix. However, in this case, strongly magnetized particles actually increase the interfacial tension, bending the boundary between oil and water into a graceful curve.

The discovery of this shape-recovering liquid has no immediate application but is exciting for researchers in the field of soft-matter physics. The team’s work was funded by the U.S. National Science Foundation and the U.S. Department of Energy, highlighting the importance of continued research in this area.

Air Quality

A Groundbreaking Approach to Soil Contamination Detection: Harnessing Machine Learning and Light-Based Imaging

A team of researchers has developed a new strategy for identifying hazardous pollutants in soil — even ones that have never been isolated or studied in a lab.

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A team of researchers from Rice University and Baylor College of Medicine has developed an innovative strategy for identifying toxic compounds in soil, including those that have never been isolated or studied before. The new approach uses machine learning algorithms, theoretical predictions, and light-based imaging techniques to detect polycyclic aromatic hydrocarbons (PAHs) and their derivative compounds (PACs), which are linked to cancer and other serious health problems.

The researchers used surface-enhanced Raman spectroscopy, a light-based imaging technique that analyzes how light interacts with molecules, tracking the unique patterns or spectra they emit. These spectra serve as “chemical fingerprints” for each compound. To refine this method, the team designed signature nanoshells to enhance relevant traits in the spectra.

Using density functional theory, a computational modeling technique, the researchers calculated the spectra of a range of PAHs and PACs based on their molecular structure, generating a virtual library of “fingerprints.” Two complementary machine learning algorithms – characteristic peak extraction and characteristic peak similarity – were then used to parse relevant spectral traits in real-world soil samples and match them to compounds mapped out in the virtual library.

This method addresses a critical gap in environmental monitoring, opening the door to identifying a broader range of hazardous compounds, including those that have changed over time. The researchers tested this approach on soil from a restored watershed and natural area using artificially contaminated samples and a control sample, with results showing the new method reliably picked out even minute traces of PAHs.

The future holds promise for on-site field testing by integrating machine learning algorithms and theoretical spectral libraries with portable Raman devices into mobile systems. This would enable farmers, communities, and environmental agencies to test soil for hazardous compounds without needing to send samples to specialized labs and wait days for results.

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Chemistry

A Single Step Forward: Revolutionizing Drug Discovery with Carbon Insertion

A research team has pioneered a groundbreaking method that could accelerate drug discovery and reduce pharmaceutical development costs. Their work introduces a safe, sustainable way to insert a single carbon atom into drug molecules at room temperature.

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The discovery of new medicines is an intricate process that requires patience, precision, and creativity. A research team from the University of Oklahoma has made a groundbreaking breakthrough that could accelerate this process, making it faster, safer, and more cost-effective. Their innovative method allows for the insertion of a single carbon atom into drug molecules at room temperature, opening up new possibilities for chemical diversity without compromising sensitive structures.

Nitrogen atoms and nitrogen-containing rings, known as heterocycles, play a crucial role in medicine development. A team led by OU Presidential Professor Indrajeet Sharma has found a way to modify these rings by adding just one carbon atom using a fast-reacting chemical called sulfenylcarbene. This process, called skeletal editing, transforms existing molecules into new drug candidates.

The significance of this discovery lies in its potential to change the molecule’s biological and pharmacological properties without altering its functionalities. This could unlock uncharted regions of chemical space in drug discovery, making it easier to find effective treatments for various diseases.

Unlike previous studies that relied on potentially explosive reagents and posed significant safety concerns, Sharma’s team has developed a bench-stable reagent that generates sulfenylcarbenes under metal-free conditions at room temperature. This achievement reduces environmental and health risks associated with metal-based carbenes.

The researchers are also exploring how this chemistry could revolutionize DNA-encoded library (DEL) technology, which allows for the rapid screening of billions of small molecules for their potential to bind to disease-relevant proteins. The metal-free, room-temperature conditions of the team’s new carbon insertion strategy make it a compelling candidate for use in DEL platforms.

By enabling precise skeletal editing in collaboration with the Damian Young group at the Baylor College of Medicine, Sharma’s approach could significantly enhance the chemical diversity and biological relevance of DEL libraries. This is particularly important as these are two key bottlenecks in drug discovery.

The cost of many drugs depends on the number of steps involved in making them. Adding a carbon atom in the late stages of development can make new drugs cheaper, akin to renovating a building rather than building it from scratch. By making these drugs easier to produce at large scale, we could reduce the cost of healthcare for populations around the world.

In conclusion, Sharma’s team has pioneered a groundbreaking method that accelerates drug discovery and reduces pharmaceutical development costs. Their innovative approach has far-reaching implications for the field of medicine, making it faster, safer, and more cost-effective.

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Chemistry

“Nature’s Filter: Plant-Based Extracts Show Promise in Removing Microplastics from Water”

The substances behind the slimy strings from okra and the gel from fenugreek seeds could trap microplastics better than a commonly used synthetic polymer. Previously, researchers proposed using these sticky natural polymers to clean up water. Now, they report that okra and/or fenugreek extracts attracted and removed up to 90% of microplastics in ocean water, freshwater and groundwater.

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The fight against microplastic pollution has taken a promising turn. Researchers have discovered that extracts from plants like okra and fenugreek can trap and remove up to 90% of these tiny plastic particles from various types of water – ocean, freshwater, and groundwater. This breakthrough, published in ACS Omega, offers a biodegradable and non-toxic alternative to synthetic polymers currently used for wastewater treatment.

Researchers led by Rajani Srinivasan have been exploring plant-based approaches to clean contaminated water. In lab experiments, they found that extracts from okra, fenugreek, and tamarind formed sticky natural polymers that clump together with microplastics, making it easy to separate them from the water. The team demonstrated successful removals in freshwater and ocean water at a meeting of the American Chemical Society.

To extract these sticky plant polymers, researchers soaked sliced okra pods and blended fenugreek seeds in water overnight. They then removed the dissolved extracts, dried them into powders, and analyzed their composition. Initial tests showed that the powdered extracts contained polysaccharides, natural polymers capable of attracting microplastics.

The researchers then tested these plant extracts on real-world samples from waterbodies around Texas. The results varied depending on the original water source: okra worked best in ocean water (80%), fenugreek in groundwater (80-90%), and a combination of both in freshwater (77%). The team hypothesizes that this difference is due to the varying types, sizes, and shapes of microplastics present in each water sample.

Currently, polyacrylamide is used for contaminant removal during wastewater treatment. However, the researchers propose using okra and fenugreek extracts as biodegradable and non-toxic alternatives.

“Utilizing these plant-based extracts in water treatment will remove microplastics and other pollutants without introducing additional toxic substances to the treated water,” says Srinivasan. “This can significantly reduce long-term health risks to the population.”

The researchers acknowledge funding from various institutions, including the U.S. Department of Energy, Tarleton State University, and the National Science Foundation Research Experiences for Undergraduates program.

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