- Adsorption and biosorption for pollutant removal
- Wastewater Treatment and Nitrogen Removal
- Heavy metals in environment
- Pickering emulsions and particle stabilization
- Nanomaterials for catalytic reactions
- Arsenic contamination and mitigation
- Mesoporous Materials and Catalysis
- Catalytic Processes in Materials Science
- Advanced Photocatalysis Techniques
- Fluoride Effects and Removal
- Groundwater flow and contamination studies
- Methane Hydrates and Related Phenomena
- Recycling and Waste Management Techniques
- Hydrocarbon exploration and reservoir analysis
- Phosphorus and nutrient management
- Microplastics and Plastic Pollution
- Innovative Microfluidic and Catalytic Techniques Innovation
- Hydraulic Fracturing and Reservoir Analysis
- Layered Double Hydroxides Synthesis and Applications
- Surfactants and Colloidal Systems
- Geochemistry and Elemental Analysis
- Advanced Cellulose Research Studies
- Heavy Metal Exposure and Toxicity
- Water Quality Monitoring and Analysis
- Microbial Community Ecology and Physiology
Nanjing Tech University
2012-2025
Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application
2016-2025
Nanjing Normal University
2016-2025
Chevron (United States)
2009-2025
ZheJiang Academy of Agricultural Sciences
2022-2025
Ministry of Agriculture and Rural Affairs
2025
Shangqiu Normal University
2025
Chinese Academy of Medical Sciences & Peking Union Medical College
2025
Peking Union Medical College Hospital
2025
Hebei University of Science and Technology
2025
We studied Cd, Cr, As, Ni, Mn, Pb, and Hg in three agricultural areas of Hunan province determined the potential non-carcinogenic carcinogenic risks for residents. Soil brown rice samples from Shimen, Fenghuang, Xiangtan counties were analyzed by atomic absorption spectroscopy. levels Cd greatest, followed As Ni. The mean concentrations heavy metals 0.325, Cr 0.109, 0.344, Ni 0.610, Mn 9.03, Pb 0.023, 0.071 mg/kg, respectively. had greater transfer ability soil to than other elements. Daily...
A two-faced synthesis: Biphasic grafting at a Pickering emulsion interface leads to the formation of Janus colloids (see scheme; ATRP: atom transfer radical polymerization), which form composite by preferential growth desired materials in specific regions original colloids. This approach is general and can be extended synthesis huge family such Supporting information for this article available on WWW under http://www.wiley-vch.de/contents/jc_2002/2008/z705103_s.pdf or from author. Please...
Stimuli-responsive microcapsules, which can release the encapsulated payload under various environmental stimuli, have attracted great interests of food, pharmaceutical, cosmetics, and agricultural fields in recent years. However, most reported responsive microcapsules normally a single storage area thus load/release only one type stimulus. In this work, we fabricated novel kind multicompartmental intelligent microcapsule with two areas independently controlled (preprogrammable) releasing...
A stimuli-responsive hydrogel for fungicide delivery based on UV-sensitive molecular (AZO)-conjunct CNCs is successfully prepared.
Abstract Systematic bone and muscle loss is a complex metabolic disease, which frequently linked to gut dysfunction, yet its etiology treatment remain elusive. While probiotics show promise in managing diseases through microbiome modulation, their therapeutic impact on dysfunction-induced remains be elucidated. Employing dextran sulfate sodium (DSS)-induced dysfunction model wide-spectrum antibiotics (ABX)-treated mice model, our study revealed that instigates loss, accompanied by microbial...
Rising nitrate contamination in water systems poses significant risks to public health and ecosystem stability, necessitating advanced modeling understand dynamics more accurately. This study applies the long short-term memory (LSTM) investigate hydrologic environmental factors influencing concentration rivers aquifers across state of Alabama southeast United States. By integrating dynamic data such as streamflow groundwater levels with static catchment attributes, machine learning model...