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Biochemistry

Democratizing Chemical Analysis with Machine Learning and Robotics

Chemists have created a machine learning tool that can identify the chemical composition of dried salt solutions from an image with 99% accuracy. By using robotics to prepare thousands of samples and artificial intelligence to analyze their data, they created a simple, inexpensive tool that could expand possibilities for performing chemical analysis.

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Democratizing Chemical Analysis with Machine Learning and Robotics

A team of chemists at Florida State University has made significant strides in developing a machine learning tool that can identify the chemical composition of dried salt solutions from an image with remarkable accuracy. This breakthrough, published in Digital Discovery, has far-reaching implications for various fields, including space exploration, law enforcement, home testing, and more.

“We are living in the age of artificial intelligence and big data,” said co-author Oliver Steinbock, a professor in the FSU Department of Chemistry and Biochemistry. “We thought that if we used sufficiently large databases with enough pictures of different compounds and stains, we could maybe use AI to determine what the composition is.”
The research built upon a previous study from Steinbock’s lab, where researchers used machine learning to identify the chemical composition of salt stains from photos. In this new paper, they amplified that work by using a robot to process samples that were later analyzed by an improved machine learning program.

The Robotic Drop Imager (RODI) was created to prepare more than 2,000 samples per day, allowing the researchers to build a library of over 23,000 images. After preparing samples and taking photos, they simplified each image by converting them to grayscale and extracted 47 features, such as pattern area, brightness, and other attributes, which were used in their analysis.

With additional images, the accuracy of their machine learning program increased from around 90% to almost 99%. The researchers also analyzed the initial concentration of the salt solution at five different levels and trained their machine learning program to distinguish among them. The program reached 92% accuracy in identifying the concentration of the solution and the salt’s identity.

The accuracy demanded in different analyses will vary depending upon the situation,” said paper co-author Amrutha S.V., a postdoctoral researcher. “From my experience, I know that some types of spectroscopy and other analysis methods are expensive and require specialized technical expertise to operate. That’s why I’m excited about the possibility of a simple method — just taking a photo to determine chemical composition. That would be incredibly useful.”
Most chemical analysis methods focus on the molecular level, examining atoms, molecules, or crystal structures.

“That works great if you have good samples, a few hundred thousand dollars for the instruments and no weight restrictions,” Steinbock said. “But if you want to go on a space mission and ship things to a moon of Saturn, for example, every gram matters. If you can do chemical analysis with a camera, that’s a game changer.”
The project was developed for NASA, which was looking for inexpensive, low-cost, low-weight methods for determining chemical concentrations. Instead of transporting samples to Earth, an extraterrestrial rover equipped with a simple chemistry lab and camera could analyze the chemical composition of materials on site.

Along with space exploration, the method developed in Steinbock’s lab could be used to provide chemical analysis for other applications. The testing relies on minute sample amounts — just a few milligrams — making it valuable in scenarios where obtaining large samples is difficult. Law enforcement could run preliminary tests on suspected drugs, laboratories could test spilled materials for safety, and hospitals without access to a full chemical analysis lab could use it to aid diagnoses for patients.

“This is important because it could democratize chemical analysis,” Steinbock said.
Artificial intelligence promises to transform what is possible in research. Faculty at Florida State University are engaging in innovative projects that push the boundaries of this rapidly developing tool.

FSU’s artificial intelligence efforts are providing tools and insight for faculty in teaching and researching.

“I think it’s very helpful to be at a place where you get this kind of support, and it doesn’t necessarily have to be money, but just appreciation for trying new things,” Steinbock said. “AI is changing how we approach scientific discovery. What once required expensive equipment and specialized expertise can now be done with a simple camera and the right algorithm. This opens up new possibilities — not just for space missions, but for medicine, forensics, and beyond.”

Biochemistry

Shape-Shifting Catalysts: Revolutionizing Green Chemistry with a Single Atom

A team in Milan has developed a first-of-its-kind single-atom catalyst that acts like a molecular switch, enabling cleaner, more adaptable chemical reactions. Stable, recyclable, and eco-friendly, it marks a major step toward programmable sustainable chemistry.

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The scientific community has witnessed a groundbreaking development in sustainable chemistry with the creation of a shape-shifting single-atom catalyst at the Politecnico di Milano. This innovative material has demonstrated the capability to selectively adapt its chemical activity, paving the way for more efficient and programmable industrial processes.

Published in the Journal of the American Chemical Society, one of the world’s most esteemed scientific journals in chemistry, this study marks a significant breakthrough in the field of single-atom catalysts. For the first time, scientists have successfully designed a material that can change its catalytic function depending on the chemical environment, much like a ‘molecular switch.’ This allows complex reactions to be performed more cleanly and efficiently, using less energy than conventional processes.

The research focuses on a palladium-based catalyst in atomic form encapsulated in a specially designed organic structure. This unique setup enables the material to ‘switch’ between two essential reactions in organic chemistry – bioreaction and carbon-carbon coupling – simply by varying the reaction conditions. The team has successfully demonstrated this phenomenon, showcasing the potential for more intelligent, selective, and sustainable chemical transformations.

Lead researcher Gianvito Vilé, lecturer at the Politecnico di Milano’s ‘Giulio Natta’ Department of Chemistry, Materials and Chemical Engineering, emphasizes the significance of their discovery: “We have created a system that can modulate catalytic reactivity in a controlled manner, paving the way for more intelligent, selective, and sustainable chemical transformations.”

The new catalyst stands out not only for its reaction flexibility but also for its stability, recyclability, and reduced environmental impact. ‘Green’ analyses conducted by the team reveal a substantial decrease in waste and hazardous reagents, making it an exemplary model for sustainable chemistry.

This study is the result of an international collaboration with esteemed institutions from around the world, including the University of Milan-Bicocca, the University of Ostrava (Czech Republic), the University of Graz (Austria), and Kunsan National University (South Korea). The joint efforts of these researchers have led to a groundbreaking achievement that has far-reaching implications for the field of green chemistry.

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Biochemistry

Scientists Finally Tame the Impossible: A Stable 48-Atom Carbon Ring is Achieved

Researchers have synthesized a stable cyclo[48]carbon, a unique 48-carbon ring that can be studied in solution at room temperature, a feat never achieved before.

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The discovery of a new type of molecular carbon allotrope, known as cyclocarbon, has been a long-standing challenge for chemists. A team of researchers from Oxford University’s Department of Chemistry, led by Dr Yueze Gao and senior author Professor Harry Andersen, have successfully synthesized a stable 48-atom carbon ring in solution at room temperature. This achievement marks a significant breakthrough in the field, as previous attempts to study cyclocarbons were limited to the gas phase or extremely low temperatures (4 to 10 K).

The researchers employed a unique approach by synthesizing a cyclocarbon catenane, where the C48 ring is threaded through three other macrocycles. This design increases the stability of the molecule, preventing access to the sensitive cyclocarbon core. The team developed mild reaction conditions for the unmasking step in the synthesis process, which allowed them to achieve a stable cyclocarbon in solution at 20°C.

The cyclocarbon catenane was characterized using various spectroscopic techniques, including mass spectrometry, NMR, UV-visible, and Raman spectroscopy. The observation of a single intense 13C NMR resonance for all 48 sp1 carbon atoms provides strong evidence for the cyclocarbon catenane structure.

Lead author Dr Yueze Gao stated that achieving stable cyclocarbons in a vial at ambient conditions is a fundamental step, making it easier to study their reactivity and properties under normal laboratory conditions. Senior author Professor Harry Andersen added that this achievement marks the culmination of a long endeavor, with the original grant proposal written in 2016 based on preliminary results from 2012-2015.

The study also involved researchers from the University of Manchester, the University of Bristol, and the Central Laser Facility, Rutherford Appleton Laboratory. This collaborative effort demonstrates the power of interdisciplinary research in advancing our understanding of complex molecular systems.

This achievement has significant implications for future studies on cyclocarbons and their potential applications in various fields. The researchers’ innovative approach to synthesizing stable cyclocarbons at room temperature opens up new possibilities for exploring the properties and reactivity of these intriguing molecules.

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Biochemistry

“Revolutionizing Medicine: A 100x Faster Path to Life-Saving Drugs with Metal Carbenes”

Using a clever combo of iron and radical chemistry, scientists have unlocked a safer, faster way to create carbenes molecular powerhouses key to modern medicine and materials. It s 100x more efficient than previous methods.

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Chemists have made a groundbreaking breakthrough in developing a novel method to generate highly useful chemical building blocks by harnessing metal carbenes. This achievement is expected to revolutionize the synthesis of life-saving drugs and materials development.

Typically used in chemical reactions essential for drug synthesis, carbenes are short-lived, highly reactive carbon atoms. However, creating these carbenes has been a challenging task due to limited methods and hazardous procedures.

Researchers at The Ohio State University have now developed an approach that makes producing metal carbenes much easier and safer. According to David Nagib, co-author of the study and distinguished professor in arts and sciences, “Our goal all along was to determine if we could come up with new methods of accessing carbenes that others hadn’t found before.”

The team’s innovative method uses iron as a metal catalyst and combines it with chlorine-based molecules that easily generate free radicals. This combination works to form the carbene of their choice, including many that had never been made before.

These three-sided molecular fragments, known as cyclopropanes, are vital to the synthesis of medicines and agrichemicals due to their small size and unusual energy. The researchers’ work was inspired by looking for the best ways to create these shape, which is one of the most common found in medicines.

“Our lab is obsessed with trying to get the best methods for making cyclopropanes out there as soon as possible,” said Nagib. “We have the eye on the prize of inventing better tools to make better medicines, and along the way, we’ve solved a huge problem in the carbene world.”

The study was recently published in Science, and the team’s discovery is expected to become extremely impactful. By accessing a new way of creating and classifying carbenes, scientists can simplify and improve the current wasteful, multistep process of producing them.

For consumers, this method suggests that future drugs developed by this technology may be cheaper, more potent, faster-acting, and longer-lasting. The work could prevent shortages of important medicines like antibiotics and antidepressants, as well as drugs that treat heart disease, COVID, and HIV infections, said Nagib.

Additionally, the team would like to ensure that their transformational organic chemistry tool is accessible to both big and small research labs and drug manufacturers around the world. One way to guarantee this is by continuing to improve the current technique, said Nagib.

“Our team at Ohio State came together in the coolest, most collaborative way to develop this tool,” he said. “So we’re going to continue racing to show how many different types of catalysts it could work on and make all kinds of challenging and valuable molecules.”

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