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Category: chemistry

How did life originate? Ancient proteins may hold important clues. Every organism on Earth is made up of proteins. Although all organisms—even single-celled ones—have complex protein structures now, this wasn’t always the case.

For years, evolutionary biochemists assumed that most emerged from a simple signature, called a motif. However, new research suggests that this motif, without the surrounding protein, isn’t as consequential as it seemed. The study is published in the journal Molecular Biology and Evolution.

The international team of researchers was led by Lynn Kamerlin, a professor in the Georgia Tech School of Chemistry and Biochemistry and Georgia Research Alliance Vasser Woolley Chair in Molecular Design, and Liam Longo, a specially appointed associate professor at the Earth-Life Science Institute at the Institute of Science Tokyo, in Japan.

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A multi-institutional collaboration of synthetic biology research centers in China has developed a genetically engineered strain of Vibrio natriegens capable of bioremediating complex organic pollutants, including biphenyl, phenol, naphthalene, dibenzofuran, and toluene, in saline wastewater and soils.

Complex are prevalent in industrial wastewater generated by petroleum refining and chlor-alkali processing. Due to their and resistance to natural degradation, these compounds persist in marine and saline environments, posing ecological risks and potential threats to public health.

Microbial bioremediation methods typically use consortia of wild-type bacterial strains, yet these organisms demonstrate limited capacity to degrade complex pollutant mixtures. Elevated salinity levels further inhibit bacterial activity, diminishing bioremediation efficacy in industrial and marine wastewater. Developing capable of degrading pollutants while tolerating saline conditions remains a critical challenge.

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A group of researchers affiliated with the Center for Innovation in New Energies (CINE) has developed a method for purifying materials that is simple, economical and has a low environmental impact. The scientists have managed to improve the efficiency of a film that can be used in some green hydrogen production processes.

Known as mullite-type bismuth ferrite (Bi₂Fe₄O₉), the material has been used as a photoelectrocatalyst in the production of hydrogen by photoelectron oxidation, a process in which molecules of water or biomass derivatives are oxidized using sunlight as an energy source. The role of bismuth ferrite films in this process is to absorb light and drive the electrochemical reactions that “separate” the hydrogen from the original molecules (water, glycerol, ethanol, etc.).

However, the performance of these photoelectrocatalysts has been limited in the production of hydrogen due, among other factors, to the presence of unwanted compounds in the material itself, known as secondary phases. Now, research carried out by CINE members in the laboratories of the State University of Campinas (UNICAMP) in Brazil has brought a solution to the problem: a purification method that has managed to eliminate these unwanted compounds.

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In the domain of artificial intelligence, human ingenuity has birthed entities capable of feats once relegated to science fiction. Yet within this triumph of creation resides a profound paradox: we have designed systems whose inner workings often elude our understanding. Like medieval alchemists who could transform substances without grasping the underlying chemistry, we stand before our algorithmic progeny with a similar mixture of wonder and bewilderment. This is the essence of the “black box” problem in AI — a philosophical and technical conundrum that cuts to the heart of our relationship with the machines we’ve created.

The term “black box” originates from systems theory, where it describes a device or system analyzed solely in terms of its inputs and outputs, with no knowledge of its internal workings. When applied to artificial intelligence, particularly to modern deep learning systems, the metaphor becomes startlingly apt. We feed these systems data, they produce results, but the transformative processes occurring between remain largely opaque. As Pedro Domingos (2015) eloquently states in his seminal work The Master Algorithm: “Machine learning is like farming. The machine learning expert is like a farmer who plants the seeds (the algorithm and the data), harvests the crop (the classifier), and sells it to consumers, without necessarily understanding the biological mechanisms of growth” (p. 78).

This agricultural metaphor points to a radical reconceptualization in how we create computational systems. Traditionally, software engineering has followed a constructivist approach — architects design systems by explicitly coding rules and behaviors. Yet modern AI systems, particularly neural networks, operate differently. Rather than being built piece by piece with predetermined functions, they develop their capabilities through exposure to data and feedback mechanisms. This observation led AI researcher Andrej Karpathy (2017) to assert that “neural networks are not ‘programmed’ in the traditional sense, but grown, trained, and evolved.”

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Researchers from the University of Oklahoma have made significant advances in a promising technology for efficient energy conversion and chemical processing. Two recent studies involving protonic ceramic electrochemical cells, called PCECs, address significant challenges in electrochemical manufacturing and efficiency. These innovations are a crucial step toward reliable and affordable solutions for hydrogen production and clean energy storage.

The studies were led by Hanping Ding, Ph.D., an assistant professor in the School of Aerospace and Mechanical Engineering at the University of Oklahoma.

PCECs have traditionally struggled to maintain performance under the required for commercial use. In a study featured in Nature Synthesis, Ding and his colleagues reported a new approach that eliminates the need for cerium-based materials, which are prone to breakdown under high steam and heat.

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Researchers from the University of Sharjah claim to have developed a novel technology capable of producing clean hydrogen fuel directly from seawater, and at an industrial scale.

In a study published in the journal Small, the researchers report that they extracted without the need to remove the mineral salts dissolved in seawater or add any chemicals.

According to the authors, the technology enables hydrogen extraction from seawater without relying on , which require massive investments totaling hundreds of millions of dollars.

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Two recent advances—one in nanoscale chemistry and another in astrophysics—are making waves. Scientists studying the movement of molecules in porous materials and researchers observing rare cosmic events have uncovered mechanisms that could reshape both industry and our view of the universe.

One of the most promising fields in material science centers on molecular diffusion. This is the way molecules move through small, confining spaces—a key process behind technologies like gas separation, catalysis, and energy storage. Materials called MOFs, short for metal-organic frameworks, have emerged as powerful tools because of their flexible structure and tunable chemistry.

Yet predicting how molecules behave inside these frameworks isn’t simple. Pore size, shape, chemical reactivity, and even how the material flexes all play a role. Studying these factors one by one has been manageable. But understanding how they work together to control molecular flow remains a major hurdle for material designers.

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In our recent study published in the Journal of the American Chemical Society, our team from the National University of Singapore has developed a rapid and eco-friendly method for synthesizing imide-linked covalent organic frameworks (COFs) using a water-assisted microwave approach.

This innovative technique significantly reduces the synthesis time and eliminates the need for toxic organic solvents, marking a major advancement in the field of materials science.

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Researchers at TUM and TUMint. Energy Research have taken a significant step towards improving solid-state batteries. They developed a new material made of lithium, antimony and scandium that conducts lithium ions more than 30% faster than any previously known material. The work is published in the journal Advanced Energy Materials.

The team led by Prof. Thomas F. Fässler from the Chair of Inorganic Chemistry with a Focus on Novel Materials partially replaced lithium in a lithium antimonide compound with the metal scandium. This creates specific gaps, so-called vacancies, in the crystal lattice of the conductor material. These gaps help the lithium ions to move more easily and faster, resulting in a new world record for ion conductivity.

Since the measured conductivity far exceeded that of existing materials, the team collaborated with the Chair of Technical Electrochemistry under Prof. Hubert Gasteiger at TUM to confirm the result.

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