Roadmap of environmental health research on emerging contaminants: inspiration from the studies on engineered nanomaterials

X Li, F He, Z Wang, B **ng - Eco-Environment & Health, 2022 - Elsevier
Research on the environmental health of emerging contaminants is critical to understand
their risks before causing severe harm. However, the low environmental concentrations …

Internal exposure and distribution of airborne fine particles in the human body: methodology, current understandings, and research needs

W Wang, Y Lin, H Yang, W Ling, L Liu… - Environmental …, 2022 - ACS Publications
Exposure to airborne fine particles (PM2. 5, particulate matter with aerodynamic diameter<
2.5 μm) severely threatens global human health. Understanding the distribution and …

Data-driven machine learning in environmental pollution: gains and problems

X Liu, D Lu, A Zhang, Q Liu, G Jiang - Environmental science & …, 2022 - ACS Publications
The complexity and dynamics of the environment make it extremely difficult to directly predict
and trace the temporal and spatial changes in pollution. In the past decade, the …

Chemical multi-fingerprinting of exogenous ultrafine particles in human serum and pleural effusion

D Lu, Q Luo, R Chen, Y Zhuansun, J Jiang… - Nature …, 2020 - nature.com
Ambient particulate matter pollution is one of the leading causes of global disease burden.
Epidemiological studies have revealed the connections between particulate exposure and …

Deep neural network method for predicting the mechanical properties of composites

S Ye, B Li, Q Li, HP Zhao, XQ Feng - Applied Physics Letters, 2019 - pubs.aip.org
Determining the macroscopic mechanical properties of composites with complex
microstructures is a key issue in many of their applications. In this Letter, a machine learning …

Quantification and characterization of Ti-, Ce-, and Ag-nanoparticles in global surface waters and precipitation

A Azimzada, I Jreije, M Hadioui, P Shaw… - Environmental …, 2021 - ACS Publications
Nanoparticle (NP) emissions to the environment are increasing as a result of anthropogenic
activities, prompting concerns for ecosystems and human health. In order to evaluate the risk …

Current methods and prospects for analysis and characterization of nanomaterials in the environment

C Jiang, S Liu, T Zhang, Q Liu… - … Science & Technology, 2022 - ACS Publications
Analysis and characterization of naturally occurring and engineered nanomaterials in the
environment are critical for understanding their environmental behaviors and defining real …

Distinguishing Engineered TiO2 Nanomaterials from Natural Ti Nanomaterials in Soil Using spICP-TOFMS and Machine Learning

GD Bland, M Battifarano… - Environmental …, 2022 - ACS Publications
Identifying engineered nanomaterials (ENMs) made from earth-abundant elements in soils
is difficult because soil also contains natural nanomaterials (NNMs) containing similar …

Single-particle metal fingerprint analysis and machine learning pipeline for source apportionment of metal-containing fine particles in air

GD Bland, M Battifarano, Q Liu, X Yang… - … & Technology Letters, 2022 - ACS Publications
Fine particulate matter (PM2. 5) is a serious global health concern requiring mitigation, but
source apportionment is difficult due to the limited variability in bulk aerosol composition …

Toxic impacts of amorphous silica nanoparticles on liver and kidney of male adult rats: an in vivo study

RA Azouz, RMS Korany - Biological trace element research, 2021 - Springer
The toxic effects of the amorphous silica nanoparticles have not been thoroughly studied.
Moreover, the majority of the in vivo investigations were performed using an inhalation …