Novel QSAR Models for Predicting Toxicity of Chemicals to Aquatic Organisms and Identifying the Mode of Action

Poster   May 05, 2011

 
Novel QSAR Models for Predicting Toxicity of Chemicals to Aquatic Organisms and Identifying the Mode of Action
 
View Poster
 
 

Kiril Lanevskij, Liutauras Juska, Remigijus Didziapetris and Pranas Japertas

 
 

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License

 
View Poster
 
 
 

OTHER POSTERS

Determination of the Fat Content Profile of different Chocolate Products using an Automated Workflow for the Generation of Fatty Acid Methyl Esters (FAME)

Poster

The method allows for automated determination of total fat content and quantitative analysis of saturated and unsaturated cis- and trans- fatty acids of different chocolate products.

READ MORE

Determination of Volatile Organic Compounds in Water by GC-MS after Headspace-Solid-Phase Microextraction (HS-SPME)

Poster

The German standard DIN 38 407-41 describes a method for the analysis of volatile compounds from aqueous samples by headspace-solid-phase microextraction (HS-SPME).

READ MORE

Lutjanus jocu (Dog snapper) as a bio-indicator of emerging contaminants and changes in environmental condition.

Poster

Our research assesses the use of Lutjanus jocu as a bioindicator of changes in environmental condition and water contaminated with toxic substances in estuarine ecosystems.

READ MORE

 

Comments | 0 ADD COMMENT

To personalize the content you see on Technology Networks homepage, Log In or Subscribe for Free

LOGIN SUBSCRIBE FOR FREE