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http://dx.doi.org/10.1126/science.aaf2919 | DOI Listing |
Crit Rev Anal Chem
January 2025
Department of Chemistry, University of Delhi, New Delhi, India.
Heavy metal pollution is a major environmental and health problem due to the toxicity and persistence of metals such as lead, mercury, cadmium, and arsenic in water, soil, and air. Advances in sensor technology have significantly improved the detection and quantification of heavy metals, providing real-time monitoring and mitigation tools. This review explores recent developments in heavy metal detection, focusing on innovative uses of immobilized chromogenic reagents, nanomaterials, perovskites, and nanozymes.
View Article and Find Full Text PDFEnviron Sci Pollut Res Int
January 2025
College of Materials Science and Engineering, Nanjing Forestry University, Nanjing, 210037, China.
Since its discovery, carbon quantum dots (CDs) have been widely applied in cell imaging, drug delivery, biosensing, and photocatalysis due to their excellent water solubility, chemical stability, fluorescence stability biocompatibility, low toxicity, and preparation cost. However, the low fluorescence yield and poor surface structure limit the application of CDs. Heteroatom doping is considered an ideal method to improve CDs' optical and electrical properties.
View Article and Find Full Text PDFSci Rep
January 2025
School of Physics and Optoelectronics, Xiangtan University, Xiangtan, 411105, China.
We introduce two strategies to enhance quantum synchronization within a triple-cavity optomechanical system, where each cavity contains an oscillator and is interconnected via optical fibers. Our results demonstrate that applying appropriate periodic modulation to the driving fields or the cavity modes can ensure robust quantum synchronization across both open and closed configurations. This approach offers promising avenues for expanding quantum synchronization capabilities in multi-cavity systems and has significant implications for advancing quantum synchronization generation and application in complex networks.
View Article and Find Full Text PDFNat Commun
January 2025
School of Applied and Engineering Physics, Cornell University, Ithaca, NY, USA.
Energy efficiency in computation is ultimately limited by noise, with quantum limits setting the fundamental noise floor. Analog physical neural networks hold promise for improved energy efficiency compared to digital electronic neural networks. However, they are typically operated in a relatively high-power regime so that the signal-to-noise ratio (SNR) is large (>10), and the noise can be treated as a perturbation.
View Article and Find Full Text PDFPhys Rev Lett
December 2024
Physikalisches Institut der Universität Heidelberg, Im Neuenheimer Feld 226, 69120 Heidelberg, Germany.
We realize a Laughlin state of two rapidly rotating fermionic atoms in an optical tweezer. By utilizing a single atom and spin resolved imaging technique, we sample the Laughlin wave function thereby revealing its distinctive features, including a vortex distribution in the relative motion, correlations in the particles' relative angle, and suppression of the interparticle interactions. Our Letter lays the foundation for atom-by-atom assembly of fractional quantum Hall states in rotating atomic gases.
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