|Corporate Social Responsibility and Impact on Hotel Industries|
In this research analyzing of corporate social responsibility activities and impact of it on hotel industries has been examined through a case study.
|Phytochip: a New Tool to Study the Diversity of Toxic Phytoplankton in the Bay of Seine|
Noyer Charlotte, Anton Leberre Véroniqueand Dreanno Catherine
The phytochip seems to be a promising method for the identification of toxic phytoplankton and could be a useful tool to help environmental monitoring.
|Detection of Environmental Contaminants Caused by the Oil Spill in the Gulf of Mexico by GC and HPLC|
Sky Countryman, Ngoc Nguyen, Jeff Layne, Kory Kelly and Zeshan Aqeel
In order to help understand the impact that the oil spill has caused, laboratories are looking for rapid and robust analytical procedures to characterize the hydrocarbon contaminants. This work provides SPE, GPC, GC-FID, GC/MS, and HPLC analytical methods for analyzing the most common contaminants that originated from the
|Detection and Identification of Dispersants (COREXIT® 9527 and 9500) by GC/MS and LC-MS/MS|
Sky Countryman, Matthew Trass, Seyed Sadjadi, Jeff Layne
Dispersants are plasticizers commonly used to prevent clumping and help dissipate oil slicks. In this work, we used GC/MS and LC-MS/ MS to detect and indentify two of the most widely used dispersants (Corexit 9527 and 9500).
|Novel QSAR Models for Predicting Toxicity of Chemicals to Aquatic Organisms and Identifying the Mode of Action|
Kiril Lanevskij, Liutauras Juska, Remigijus Didziapetris and Pranas Japertas
This study presents the application of recently introduced GALAS modeling methodology for estimating toxicity of chemicals to several aquatic species. Experimental data were expressed as median lethal concentration of test compound in water (LC50) and the data set contained 904 LC50 values for fishes (Pimephales promelas) and 589 LC50 values for crustaceans (Daphnia magna).
|Application of index analysis to evaluate the water quality of the Tuul River in Mongolia|
Ochir Altansukh1*, G.Davaa2
A study of the Tuul River water pollution was carried out in surrounding area of Ulaanbaatar, the capital of Mongolia at 14 monitoring sites, using a dataset between 1998-2008. An index method applied to assess water quality and seven hydro-chemicals used in the index calculation. The research indicates that the river is not polluted until the Ulaanbaatar and the contamination level spike appears when the river entering the city.
|Comprehensive, Fully Automated Water Analysis|
J. Kleimann, C. Emmenegger and H. Risse
This poster describes how a single analytical unit that combines titration, ion chromatography and direct measurement can be utilised for automated drinking water analysis.
|Water quality assessment of the Tuul River in Ulaanbaatar city, Mongolia|
Ochir Altansukh, Paul Whitehead
This poster presents the spatio-temporal assessment of 14 hydro-chemicals at 15 monitoring sites of the Tuul River in Ulaanbaatar city using a dataset between 1998-2008. Human activity has a significant imprint on river water quality. Level of pollution of the river strongly depends on how well water has been treated when discharged from CWTP, means it is a strongest point pollution source in downstream section of the Tuul River.
|Trace Analysis of Isothiazolinones in Water Samples by Large-Volume Direct Injection Liquid Chromatography Tandem Mass Spectrometry|
P. Speksnijder, J. van Ravestijn, and P. de Voogt
Isothiazolinones are used as preservatives, biocides and desinfectants in variety of industrial and domestic applications. The purpose of this study was to develop and optimize an LC–MS/MS method that would enable the determination without any derivatization or preconcentration step of isothiazolinones used in membrane technology for water purification and in household products, at levels relevant for the water cycle.
|Hyphenated Techniques as Modern Detection Systems in Ion Chromatography|
K.M. Ruth, A. Wille, S. Czyborra and J. Kleimann
Historically ion chromatography (IC) using conductivity detection has been successfully used for the analysis of ionic (e.g., anions and cations) and polar substances (e.g., organic acids or sugars). However, due to current toxicity concerns, analyses in complex matrices require improved sensitivities and selectivities.
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