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Although many excellent nanozymes have been developed, designing and synthesizing highly active nanozymes is still challenging. Here, we developed a metal-based nanozyme (metal = Co, Fe, Cu, Zn) with a three-dimensional network structure. It possesses excellent peroxidase activity and catalyzes the reaction between HO and TMB to produce blue oxTMB, while antioxidants have different reducing power on the oxidation product of TMB (oxTMB), which leads to different absorbance and color changes. Using these color reactions, different nanozymes were used to form a colorimetric sensor array with seven antioxidants, and seven antioxidants were sensitively identified. And the differences between the three nanozymes were compared by density functional theory calculations and enzyme kinetic curve results. In conclusion, the colorimetric sensor array based on metal-based nanozymes provides a good strategy for the identification and detection of antioxidants, which has a broad application prospect.
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http://dx.doi.org/10.1039/d3ay02199h | DOI Listing |
J R Soc Interface
September 2025
Institute of Intelligent Systems and Robotics, Sorbonne Université, Paris, Île-de-France, France.
A number of techniques have been developed to measure the three-dimensional trajectories of protists, which require special experimental set-ups, such as a pair of orthogonal cameras. On the other hand, machine learning techniques have been used to estimate the vertical position of spherical particles from the defocus pattern, but they require the acquisition of a labelled dataset with finely spaced vertical positions. Here, we describe a simple way to make a dataset of images labelled with vertical position from a single 5 min movie, based on a tilted slide set-up.
View Article and Find Full Text PDFAnal Chem
September 2025
School of Chemistry and Chemical Engineering, Shandong University of Technology, Zibo 255049, PR China.
Pax-5a gene, as a nucleic acid biomarker closely associated with B-cell acute lymphoblastic leukemia (B-ALL), holds significant potential for early disease diagnosis. In this study, we developed a highly accurate and efficient "on-super on-off" photoelectrochemical (PEC) biosensor based on a dual-photoelectrode heterojunction system integrated with a multisphere cascade DNA amplification strategy. The designed heterojunction dual-photoelectrode platform, comprising a InO/CdS photoanode (on state) and an in situ-formed MIL-68(In)/InO (MIO) photocathode, effectively extends the electron-hole transport pathway, enhances photogenerated charge separation, and produces high-amplitude signal output (super on state), thereby providing a robust baseline for signal transduction.
View Article and Find Full Text PDFInt J Comput Assist Radiol Surg
September 2025
Division of Plastic and Reconstructive Surgery, Neonatal and Pediatric Craniofacial Airway Orthodontics, Department of Surgery, Stanford University School of Medicine, 770 Welch Road, Palo Alto, CA, 94394, USA.
Background: Alveolar molding plate treatment (AMPT) plays a critical role in preparing neonates with cleft lip and palate (CLP) for the first reconstruction surgery (cleft lip repair). However, determining the number of adjustments to AMPT in near-normalizing cleft deformity prior to surgery is a challenging task, often affecting the treatment duration. This study explores the use of machine learning in predicting treatment duration based on three-dimensional (3D) assessments of the pre-treatment maxillary cleft deformity as part of individualized treatment planning.
View Article and Find Full Text PDFLangmuir
September 2025
College of Textile and Clothing Engineering, Soochow University, Suzhou 215123, PR China.
Sodium-ion batteries are promising candidates for large-scale energy storage due to their low cost and resource abundance. However, their cathode materials suffer from poor conductivity and limited cycling stability. Here, we report a Prussian blue (PB)-based cathode hybridized with carboxyl-functionalized carbon nanotubes (CNTs) via a glutamic acid-assisted in situ coordination route.
View Article and Find Full Text PDFACS Appl Mater Interfaces
September 2025
Key Laboratory of Leather Chemistry and Engineering of Ministry of Education, Sichuan University, Chengdu 610065, China.
Gel-based electronic skin (e-skin) has recently emerged as one of the most promising interfaces for human-machine interaction and wearable devices, owing to its exceptional flexibility, extensibility, transparency, biocompatibility, high-quality physiological signal monitoring, and system integration suitability. However, conventional hydrogel-based e-skins may exhibit limitations in mechanical strength and stretchability compatibility, as well as poor environmental stability. To address these challenges, following a top-down fabrication strategy, this study innovatively integrates poly(methacrylic acid), titanium sulfate, and ethylene glycol (EG) into the three-dimensional collagen fiber network structure of zeolite-tanned sheepskin to successfully develop an organogel (SMEMT) e-skin, which exhibits superior high toughness, environmental stability, high transparency (74% light transmittance at 550 nm), antibacterial properties and ecological compatibility.
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