Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

In this study, the feasibility of a novel Ca-AgPO composite with visible light irradiation for the phenanthrene (PHE) degradation and algae inactivation in artificial seawater was firstly investigated. The experimental findings revealed that AgPO phase was sucessfully formed on the Ca-based material, and the presence of Ca-based material could effectively keep AgPO particles stable. An excellent performance on PHE degradation or algae inactivation was observed from Ca-AgPO composite under visible light irradiation. The degradation of PHE or inactivation of algae not only could be efficiently achieved in the single mode, but also could be successfully achieved in the coexisting mode. Above 96% of PHE and algae were simultaneously removed within 12 h in the Ca-AgPO/visible light system. It was further observed that the degradation of PHE and/or inactivation of algae increased with the increase of Ca-AgPO dosage. HO was the primary radical responsible for PHE degradation, whereas HO and Ag released from Ca-AgPO mainly contributed to the algae inactivation. A possible mechanism involving the catalytic removal of PHE and algae by Ca-AgPO under visible light irradiation was proposed. This study provides helpful guide for the simultaneous removal of various pollutants in real seawater.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.chemosphere.2019.01.044DOI Listing

Publication Analysis

Top Keywords

visible light
16
ca-agpo composite
12
composite visible
12
light irradiation
12
phe degradation
12
algae inactivation
12
algae
8
novel ca-agpo
8
degradation algae
8
ca-based material
8

Similar Publications

This study addresses historical uncertainties regarding morphological variation in the paraprocts of Tupiperla illiesi, a stonefly with a complex taxonomic history. We tested whether these variations represent phenotypic plasticity or distinct species using integrative taxonomy. Adult gripopterygids were collected from Estação Biológica de Boracéia utilizing Malaise and light traps.

View Article and Find Full Text PDF

Large language models (LLMs) have been successfully used for data extraction from free-text radiology reports. Most current studies were conducted with LLMs accessed via an application programming interface (API). We evaluated the feasibility of using open-source LLMs, deployed on limited local hardware resources for data extraction from free-text mammography reports, using a common data element (CDE)-based structure.

View Article and Find Full Text PDF

A CoO/AgMoO/CeOternary nanocomposites photocatalyst was successfully synthesized through a straightforward ethanol-assisted chemical method. Comprehensive characterization of its structural and optical properties was conducted using X-ray diffraction (XRD), Fourier-transform infrared spectroscopy (FTIR), Raman spectroscopy, scanning electron microscopy (SEM), transmission electron microscopy (TEM), UV-Vis diffuse reflectance spectroscopy (UV-DRS), and photoluminescence (PL) analysis. XRD analysis confirmed the presence of CoO, AgMoO and CeO in the ternary composite sample.

View Article and Find Full Text PDF

Transition behavior of the waiting time distribution in a stochastic model with the internal state.

J Math Biol

September 2025

School of Mathematical Sciences and Institute of Natural Sciences, MOE-LSC, CMA-Shanghai, Shanghai Jiao Tong University, Shanghai, China.

It has been noticed that when the waiting time distribution exhibits a transition from an intermediate time power-law decay to a long-time exponential decay in the continuous time random walk model, a transition from anomalous diffusion to normal diffusion can be observed at the population level. However, the mechanism behind the transition of waiting time distribution is rarely studied. In this paper, we provide one possible mechanism to explain the origin of such a transition.

View Article and Find Full Text PDF

Volume correlative light and electron microscopy (vCLEM) is a powerful imaging technique that enables the visualization of fluorescently labeled proteins within their ultrastructural context. Currently, vCLEM alignment relies on time-consuming and subjective manual methods. This paper presents CLEM-Reg, an algorithm that automates the three-dimensional alignment of vCLEM datasets by leveraging probabilistic point cloud registration techniques.

View Article and Find Full Text PDF