Jeonbuk National University researchers explore the impact of different seasonings on the flavor perception of Doenjang soup
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Updates every hour. Last Updated: 23-Dec-2025 21:11 ET (24-Dec-2025 02:11 GMT/UTC)
Doenjang, a traditional Korean fermented soybean paste, contains natural umami and kokumi-active compounds. A new study from Jeonbuk National University found that monosodium glutamate (MSG) and nucleotide-based seasonings affect doenjang soup differently. Nucleotides mainly boost umami, while MSG strongly enhances both umami and kokumi, resulting in higher consumer acceptance.
Femtosecond laser-induced periodic surface structures can be used to control thermal conductivity in thin film solids, report researchers from Japan. Their innovative method, which leverages high-speed laser ablation, produces parallel nanoscale grooves with unprecedented throughput that is 1,000 times stronger than conventional approaches, strategically altering phonon scattering in the material. This scalable and semiconductor-ready approach could make it possible to mass-produce thermal engineering structures while maintaining laboratory-level precision.
A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant measurements and environmental data. By training models on seven years of high-resolution lysimeter data, the research demonstrates strong performance across tomatoes, wheat, and barley. The findings point toward future tools that may support both irrigation management and early detection of plant stress.
Road accidents often stem from failing to notice vehicles. A recent study introduced a method for detecting distant vehicles with over twice the accuracy of existing systems. Instead of using road markings, it analyzes the motion of nearby vehicles to estimate the road’s trajectory and vanishing point, capturing distant road areas. By enlarging distant regions, the system can more accurately detect faraway vehicles, thereby enhancing safety by providing distant-vehicle information to drivers and pedestrians.
A new model predicts, minute by minute, how individual cells will fold, divide, and rearrange during a fruit fly’s earliest stage of growth. The method may help scientists predict the development of more complex tissues or identify early signs of diseases such as asthma and cancer.
EurekAlert Summary
Order from Chaos: Technion and SJTU Researchers Reveal Hidden Photon Behavior
A collaborative team from the Technion–Israel Institute of Technology and Shanghai Jiao Tong University has identified a previously unknown physical phenomenon showing how order can emerge from complete disorder. Reported in Nature Materials, the study describes the discovery of photon “spin locking” generated by Brownian motion in nanometric systems.
The research was led by Prof. Erez Hasman of the Technion’s Faculty of Mechanical Engineering and the Helen Diller Quantum Center, together with Prof. Bo Wang, head of the Spin Nanophotonics Group at SJTU’s School of Physics and Astronomy and a former postdoctoral researcher in Prof. Hasman’s group.
The team uncovered a “spin-locking effect induced by Brownian motion,” demonstrating that photons scattered from randomly moving nanoparticles unexpectedly align into a specific spin state. This result overturns the long-standing assumption that Brownian motion produces fully chaotic, unpolarized scattering.
By illuminating nanoparticles suspended in a liquid, the researchers showed that sideways-scattered photons exhibit a locked spin state—an emergent form of order arising precisely from the particles’ random motion. The effect also enables characterization of particle size and material type, offering a new tool for nanoparticle identification.
“Our discovery beautifully illustrates the importance of experimental physics,” said Prof. Hasman. “It is often the most disordered systems that reveal the deepest order. We believe this phenomenon will open new avenues in nanoparticle characterization and future optical technologies.”
The study was supported by the National Science Foundations of Israel and China.