.... http://www.separationsNOW.com/coi/cda/landing.cda?type=Feature&chId=8 http://www.separationsNOW.com/coi/cma/download.cma?imageType=RssLogo&contentType=Feature&siteId=2&chId=8 http://www.separationsnow.com/ http://www.separationsNOW.com/coi/cda/detail.cda?chId=8&id=26644&type=Feature&page=1 Polish scientists have used principal component analysis to help optimize the derivatization of oestrogenic steroids such as estrone and estradiol prior to separation by gas chromatography. http://www.separationsNOW.com/coi/cda/detail.cda?chId=8&id=26641&type=Feature&page=1 Canadian scientists have used multivariate statistics and PCR-denaturing gradient gel electrophoresis to investigate the gastrointestinal tract microbial communities found in dairy calves and chickens. http://www.separationsNOW.com/coi/cda/detail.cda?chId=8&id=26659&type=Feature&page=1 Welcome to the second in a series of features from Chris Stumpf, a marketing manager at Waters Corporation who focuses on Lab Informatics. Every two months, Chris publishes a new informatics-related article which we hope will build into a worthwhile compendium of informatics material. This month, Chris describes the important concepts to consider when designing a standardized laboratory informatics environment operating in GxP. http://www.separationsNOW.com/coi/cda/detail.cda?chId=8&id=26618&type=Feature&page=1 Finding simple linear relationships between the variables making up large data sets is easy, but finding other types of relationships is hard. Unless you use a new statistical technique developed by British and US scientists. http://www.separationsNOW.com/coi/cda/detail.cda?chId=8&id=26522&type=Feature&page=1 US scientists have developed a novel approach to evaluating and selecting the normalization strategies for dealing with unavoidable variations in LC-MS peak intensities. http://www.separationsNOW.com/coi/cda/detail.cda?chId=8&id=26496&type=Feature&page=1 Applying chemometrics to GC-MS and HPLC-MS data, US scientist have produced models for classifying commercial orange juices based on their flavour-providing low molecular weight compounds. http://www.separationsNOW.com/coi/cda/detail.cda?chId=8&id=26456&type=Feature&page=1 By developing a new peak alignment technique and combining it with various multivariate statistical techniques, Korean scientists have automated all the steps required to transform raw spectral data into meaningful chemical information. http://www.separationsNOW.com/coi/cda/detail.cda?chId=8&id=26419&type=Feature&page=1 Swedish chemical engineers have used mechanistic modeling to design and evaluate control strategies for product pooling in preparative chromatography. http://www.separationsNOW.com/coi/cda/detail.cda?chId=8&id=26326&type=Feature&page=1 Welcome to the first in a series of features from Chris Stumpf, a marketing manager at Waters Corporation who focuses on Lab Informatics. Every two months, Chris will publish a new informatics-related article which we hope will build into a worthwhile compendium of informatics material. This month, Chris looks at how a wealth of new standardized informatics solutions are helping the scientist to reduce the drudgery of manual data management in the lab. http://www.separationsNOW.com/coi/cda/detail.cda?chId=8&id=26381&type=Feature&page=1 Chinese scientists have used multivariate statistical techniques such as principal component analysis and cluster analysis to characterize Chinese vinegars by types, fermentation method and production area. http://www.separationsNOW.com/coi/cda/detail.cda?chId=8&id=26355&type=Feature&page=1 Monitoring lots of different UV wavelengths produces chemical fingerprints that are detailed enough to detect dodgy medicinal herbs, say Spanish chemists. http://www.separationsNOW.com/coi/cda/detail.cda?chId=8&id=26257&type=Feature&page=1 Canadian scientists have proposed an adaptive approach for estimating the weights of five features used to remove noise by adjusting the peak intensities in tandem mass spectra. http://www.separationsNOW.com/coi/cda/detail.cda?chId=8&id=26239&type=Feature&page=1 British biochemical engineers have developed a data-driven algorithm, termed the Simplex algorithm, for identifying feasible operating conditions during early bioprocess development, including optimum conditions for chromatography. http://www.separationsNOW.com/coi/cda/detail.cda?chId=8&id=26219&type=Feature&page=1 Two Dutch scientists have produced a piece of software called 2DAid that can combine several peaklets in a 1D chromatogram into a single peak in a 2D chromatorgam with no human involvement whatsoever. http://www.separationsNOW.com/coi/cda/detail.cda?chId=8&id=26119&type=Feature&page=1 Chinese scientists have shown that gas chromatography-mass spectrometry coupled with multivariate statistical analysis can be used to classify the essential oils produced from three different species of the plant genus <i>Curcuma</i>. http://www.separationsNOW.com/coi/cda/detail.cda?chId=8&id=26105&type=Feature&page=1 Using principal component analysis and partial least squares-discriminant analysis, Chinese scientists have characterised metabolism disorders induced by tumours in laboratory mice. http://www.separationsNOW.com/coi/cda/detail.cda?chId=8&id=26099&type=Feature&page=1 It may have been developed for a completely different purpose, but an automated peak tracking algorithm is proving highly adept at optimizing liquid chromatography separations. http://www.separationsNOW.com/coi/cda/detail.cda?chId=8&id=26000&type=Feature&page=1 Applying principal component analysis to the data produced by gas chromatography/time-of-flight mass spectrometry, Chinese scientists have identified several metabolite biomarkers for gastric cancer. http://www.separationsNOW.com/coi/cda/detail.cda?chId=8&id=25988&type=Feature&page=1 Russian scientists have developed a routine for determining the position of the top of exponentially modified Gaussian peaks in chromatography, helping to reduce the number of chromatographic runs during method development. http://www.separationsNOW.com/coi/cda/detail.cda?chId=8&id=25986&type=Feature&page=1 After developing a novel technique for identifying peptides in proteomic analyses, US scientists have now developed a process for determining the accuracy of those identifications.