Single-atom nanozymes (SANs) with transition metals as their core are nanomaterials characterized by atomically dispersed active sites and intrinsic enzyme-mimicking activity, exhibiting ultrahigh catalytic efficiency. As an essential trace element a...
Journal of chemical information and modeling
Dec 19, 2025
Electrochemical carbon dioxide reduction (CORR) using electrocatalysts has gained attention for its potential to convert atmospheric CO into value-added chemicals. Recently, machine learning (ML) has emerged as a promising approach for catalyst devel...
Angewandte Chemie (International ed. in English)
Nov 24, 2025
CRISPR/Cas12a-based detection of non-nucleic acid targets faces two major challenges: 1) limited sensitivity due to the inherent inability to pre-amplify non-nucleic acid targets, and 2) suboptimal performance of traditional reporters caused by photo...
Nanozymes, defined as nanomaterials exhibiting intrinsic enzyme-like catalytic properties, represent a rapidly expanding interdisciplinary frontier. Since the initial discovery of peroxidase-like nanozymes, a wide variety of nanomaterials have demons...
Heterogeneous Fenton-like catalysis holds significant promise for environmental remediation, yet conventional trial-and-error methodologies fail to capture the intrinsic structure-activity relationships in catalyst design. Herein, we present an integ...
Per- and polyfluoroalkyl substances (PFASs), particularly trifluoroacetic acid (TFA), have emerged as global environmental pollutants due to their extreme persistence. Conventional treatment methods are largely ineffective, underscoring the need for ...
Single-atom nanozymes (SANs) represent a groundbreaking innovation in analytical chemistry, offering a new paradigm for molecular detection and environmental sensing. Due to their unique atomic-level dispersion, SANs exhibit superior catalytic activi...
Catalytic ozonation is a widely used advanced oxidation process for treating refractory organic wastewater; yet, the variability in dissolved organic matter (DOM) composition complicates reaction mechanisms. A critical challenge lies in designing opt...
Processive endoglucanases, which possess both endo- and exoglucanase activities, are considered highly promising catalysts in cellulose degradation. In this study, we employed multiple deep learning models, including MutCompute, DeepSequence, and ESM...
Current colorimetric sensing arrays for antioxidant detection often struggle with discrimination due to cross-reactive signals from individual nanozymes. These signals are typically modulated by external factors such as pH or chromogenic substrates, ...
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