PNNL

Biomonitoring of Organophosphorus Agent Exposure by Reactivation of Cholinesterase Enzyme Based on Carbon Nanotube-Enhanced Flow-Injection Amperometric Detection

Using In-Situ Strain Measurements to Evaluate the Accuracy of Stress Estimation Procedures from Fracture Injection/Shut-in Tests

Biosensor Based on Self-Assembling Acetylcholinesterase on Carbon Nanotubes for Flow injection/Amperometric Detection of Organophosphate Pesticides and Nerve Agents

Determining Aromatic and Aliphatic Carboxylic Acids in Biomass-Derived Oil Samples Using 2,4-Dinitrophenylhydrazine and Liquid Chromatography-Electrospray Injection-Mass Spectrometry/Mass Spectrometry

Particle Acidity Drives Kinetics and Oligomer Formation in Aqueous Secondary Organic Aerosols

Multiple concurrent single-particle measurements help develop a quantitative and predictive understanding of secondary organic aerosols.

An Automated, Faster Way to Analyze Aerosols

Researchers use machine learning to speed up the analysis of aerosol datasets from mass spectrometry.

Successfully Combining Two Decades of Aerosol Data

Merging long-term records of aerosol loading to create a high-quality, useful dataset for a continental site.

A New Option for Determining Aerosol Absorption from Wildfires

A recently developed laboratory-based technique allows researchers to quantify aerosol absorption from field campaign samples.

Earth System Model Offers New View of Aerosol Treatments

Aerosol treatments in E3SM affect clouds, heat reflected to space, and Earth’s snow-or-ice-covered surface.

Aerosols Notably Contribute to the Predictability of Hail and Precipitation

Large ensemble simulations show that aerosols can significantly modify the predictability of hail and precipitation in hailstorms.