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Hydrogen production by suspension self-rotation enhanced pyrolysis of sludge particles in cyclone.
Water Res
January 2025
National Engineering Research Center of Industrial Wastewater Detoxication and Resource Recovery, East China University of Science and Technology, Shanghai, 200237, China. Electronic address:
The challenges faced by sludge pyrolysis units, including poor heat transfer efficiency and uneven heating of material groups, significantly hinder the green and low-carbon transformation and sustainable development of sludge treatment. The suspension self-rotation of sludge particles in a cyclone enhances particle heat transfer, thereby improving the pyrolysis process. In this study, we developed a novel method for sludge pyrolysis using Cyclone Suspension Self-Rotation Pyrolysis Reactor (CSSPR).
View Article and Find Full Text PDFResearch Progress on the Chemical Constituents and Pharmacological Effects of Thunb and a Predictive Analysis of Quality Markers.
Curr Issues Mol Biol
December 2024
College of Veterinary Medicine, Gansu Agricultural University, Lanzhou 730070, China.
() is widely used in respiratory disease control as an important heat-clearing and detoxifying traditional Chinese medicine. It effectively clears away heat and toxins, eliminates carbuncles, and drains pus, and it is diuretic and detoxicating. The aim of this study is to review the botany, chemical composition, pharmacological effects, and quality control of to establish a better-quality evaluation system.
View Article and Find Full Text PDFCadmium accumulation potential and detoxication mechanism of Koenigia tortuosa: A novel extremely hardy plant from high altitude lead-zinc mine in Qinghai-Tibet Plateau.
Chemosphere
January 2025
State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, College of Ecology and Environment, Chengdu University of Technology, Chengdu, 610059, PR China.
Hardy plants play a crucial role in restoring high-altitude tailings ponds, but the accumulation of potentially toxic elements (PTEs) and detoxification mechanisms in alpine plants are understudied. This study first investigated the cadmium (Cd) accumulation capacity and detoxification mechanisms by comparative transcriptomics with different Cd stress (0, 5, 10, 20 and 40 mg L Cd) of Koenigia tortuosa from a lead-zinc mine (4950 m above sea level) in Qinghai-Tibet Plateau. The findings revealed that, despite elevated Cd concentrations suppressed the growth of Koenigia tortuosa, the plant retained a notable ability to accumulate Cd.
View Article and Find Full Text PDFComprehensive multi-omics analysis reveals the mechanism of hepatotoxicity induced by Emilia sonchifolia (L.) DC.
J Ethnopharmacol
January 2025
Guizhou University of Traditional Chinese Medicine, Guiyang 550025, China. Electronic address:
Ethnopharmacological Relevance: Emilia sonchifolia is a very widely used traditional Chinese medicine, with the efficacy of heat-clearing, detoxicating, dissipating blood stasis, reducing swelling and relieving pain. As a widely used traditional miao herb, Emilia sonchifolia is often used to treat upper respiratory tract infections, oral ulcer, pneumonia, mastitis, enteritis, bacillum, urinary tract infection, sores, eczema, falls and injuries, etc. In fact, many cases of liver injury caused by Emilia sonchifolia have been reported clinically.
View Article and Find Full Text PDFIntegrating machine learning, suspect and nontarget screening reveal the interpretable fates of micropollutants and their transformation products in sludge.
J Hazard Mater
January 2025
School of Environmental Studies, China University of Geosciences, Wuhan, Hubei 430074, China; National Engineering Research Center of Industrial Wastewater Detoxication and Resource Recovery, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China. Electronic address:
Activated sludge enriches vast amounts of micropollutants (MPs) when wastewater is treated, posing potential environmental risks. While standard methods typically focus on target analysis of known compounds, the identity, structure, and concentration of transformation products (TPs) of MPs remain less understood. Here, we employed a novel approach that integrates machine learning for the quantification of nontarget TPs with advanced target, suspect, and nontarget screening strategies.
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