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In contrast to homogeneous enzyme catalysis, nanozymes are nanosized heterogeneous catalysts that perform reactions on a rigid surface. This fundamental difference between enzymes and nanozymes is often overlooked in kinetic studies and practical applications. In this article, using 14 nanozymes of various compositions (core@shell, metal-organic frameworks, metal, and metal oxide nanoparticles), we systematically demonstrate that nontypical features of nanozymes, such as multiple catalytic activities, chemical transformations, and aggregation, need to be considered in nanozyme catalysis.

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Tandem neural networks for inverse design can only make single predictions, which limits the diversity of predicted structures. Here, we use conditional variational autoencoder (cVAE) for the inverse design of core-shell nanoparticles. cVAE is a type of generative neural network that generates multiple valid solutions for the same input condition.

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Article Synopsis
  • - Atomically precise metal nanoclusters (NCs) are interesting for their unique structures and catalytic potential, but they have issues like instability and self-aggregation.
  • - This research presents a method to stabilize metal NCs by anchoring them to a metal oxide matrix, creating a hollow core-shell structure through thermal treatment.
  • - The resulting metal NPs@metal oxide heterostructures show improved catalytic activity and stability for reducing aromatic nitro compounds, suggesting a new approach to utilize the instability of metal NCs in catalysis.
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We reported the gold/silver core-shell nanoparticles (Au@Ag NPs) functionalized with β-cyclodextrin (β-CD) as versatile nano-agents demonstrated for human urine-based biosensing of cysteamine and catalytic conversion from nitrobenzene (NB) to aniline. First, the hybrid bimetallic nanoparticles, i.e.

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A novel optical strategy for ALP detection and development of matched smartphone app.

Sci Rep

November 2024

Chongqing Municipality Clinical Research Center for Geriatric diseases, Chongqing University Three Gorges Hospital, Chongqing, China.

Alkaline phosphatase (ALP) is a reliable biomarker for various diseases, making the development of new detection methods highly significant. Herein, we report a simple and accurate dual-signal optical detection strategy for measuring ALP activity across the entire clinical range in adults. Based on this, we designed a smartphone app to eliminate the limitations of large instruments, enabling real-time field detection.

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