Last call for HTC-11 posters
Those wishing to submit posters to the Hyphenated Techniques in Chromatography conference (HTC-11) will need to do so before 1 December 2009. Those wishing to benefit from reduced fees will need to register before this date also.
Those wishing to submit posters to the Hyphenated Techniques in Chromatography conference (HTC-11) will need to do so before 1 December 2009. Those wishing to benefit from reduced fees will need to register before this date also.
The HTC meeting series is claimed to be one of the premier platforms for the exchange of ideas on hyphenated and automated systems applicable in various laboratories. The next meeting, the 11th, will take place early next year in Bruges, Belgium, from 27–29 January.
There will also be short courses taking place on 25–26 January and anyone registering before 1 December will receive a reduced fee for these as well. The programme features one-day courses on
Miniaturized sample-preparation techniques
Comprehensive two-dimensional separations
Multidimensional techniques for application in industry
Liquid chromatography–mass spectrometry
A complete oral programme and a rapidly growing number of posters can be found on the website, www.ordibo.be
Pharmacokinetics of Oral Gabapentin in Goats: Insights from RP-HPLC Analysis
June 19th 2025A study conducted by the College of Veterinary Medicine of Midwestern University (Glendale, Arizona), the University of California Davis School of Veterinary Medicine (Davis, California) and the College of Veterinary Medicine of the University of Tennessee (Knoxville, Tennessee) set out to describe the pharmacokinetics of oral gabapentin (GABA) in goats given as a single dose (SD) and multidose (MD) regimen, as well as to document any adverse effects after administration. Plasma samples were collected and analyzed via reversed-phase high performance liquid chromatography (RP-HPLC).
Chemical Fingerprinting of Urban Runoff Using a Combined Iterative DDA and DIA Workflow
June 19th 2025An innovative workflow that combines iterative data-dependent acquisition (DDA) and data-independent acquisition (DIA) to enhance the identification of unknown pollutants in urban runoff is presented.
