LCGC Europe-02-01-2005

LCGC Europe

Enhanced Sample Throughput for Environmental Analysis

February 01, 2005

Sample Throughput

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In this article, the authors look at ways to increase sample throughput for routine environmental analysis. Several strategies aimed at enhancing laboratory productivity are highlighted and illustrated with from-the-floor applications.

Stay Away from the Cliffs!

February 01, 2005

LC Troubleshooting

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This month, John Dolan underlines the importance of building safety factors into laboratory methods so that costly and frustrating problems that can arise during routine operation can be avoided.

New Developments in Microplates for Biological Assays and Automated Sample Preparation

February 01, 2005

Sample Preparation Perspectives

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This month's column reviews some key considerations in the manufacture and use of microplates with particular reference to the 96-well plate.

Analysis of Fructose, Glycine and Triglycine using UV/vis Detection and Evaporative Light-Scattering Detection

February 01, 2005

UV/vis and ELSD

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The development of a method for the simultaneous determination of glycine, triglycine and fructose using UV/vis and evaporative light-scattering is presented. The study formed part of a research project dealing with the recovery of functional peptides from aqueous streams on an industrial scale using absorption or related technologies.

Taming the Regulatory Beast: Regulation versus Functionalism

February 01, 2005

MS in Practice

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The authors discuss the issue of meeting the demands of regulatory compliance whilst ensuring good scientific practice. A number of requirements from 21 CFR Part 11 are cited to demonstrate the importance of applying the principles of risk analysis.

Shimadzu Application Note

February 01, 2005

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Shimadzu Application Note - Feb enewsletter

From Tables to Visuals: Principal Component Analysis, Part 2

February 01, 2005

Practical Data Handling

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The second part in this series focuses on the variables in large data tables, looking at the vocabulary used by PCA experts, and explaining some of the background to the method. It further provides practical examples of how these variables operate in practice.