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Cutting useless variables in heroin analysis

Date: Dec 15, 2008

Author: David Bradley

Researchers in Spain have developed a way to eliminate uninformative variables from the multivariate calibration of near-infrared spectra and so allow a more productive determination of heroin in illicit street drugs to be carried out.

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How to reveal latent spectral attributes

Date: Nov 15, 2008

Author: Steve Down

A new approach to fitting a statistical model to time-resolved laser-induced fluorescence spectroscopy (TRLFS) could reveal hidden details and remove background noise, according to the German team developing the technique.

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Rotational tools for factor analytic models

Date: Nov 14, 2008

Author:

Rotational ambiguity is a major problem in the application of factor analysis to a variety of multivariate mixture resolution problems and particularly important in the analysis of environmental data.

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Multivariate modeling and exploration of environmental n-way data from bulk precipitation quality control

Date: Oct 21, 2008

Author:

This paper describes the results of study on modeling and exploration of a three-way environmental data set acquired from monitoring bulk precipitation chemistry collected in the Dupniaski Stream Catchment (Silesian Beskid, Southern Poland) using Tucker3 modeling and self-organizing map approach.

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Boning up on skeletal remains

Date: Oct 15, 2008

Author: David Bradley

A fast statistical method for analyzing spectroscopic data has been developed by US researchers to allow crime scene investigators and forensic scientists to more quickly and easily obtain a post-mortem interval on recovered skeletal remains.

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In-line monitoring of reactive crystallization process based on ATR-FTIR and Raman spectroscopy

Date: Sep 17, 2008

Author:

Glutamic acid is an industrially important amino acid which is mainly used as a food additive and in pharmaceuticals. This paper studies the utilization of attenuated total reflectance-Fourier transformed infrared (ATR-FTIR) and Raman spectroscopy to investigate isothermal semi-batch precipitation of a model compound, L-glutamic acid.

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Biomass analysis

Date: Sep 15, 2008

Author: David Bradley

Near infrared spectroscopy can be used to determine the amount of ash and char present in various types of biomass, according to researchers in Japan and the US. An informatics model based on multivariate analysis of the NIR data will allow those working with and using biomass to predict the levels of such burnt materials in advance of processing.

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Classification of GC-MS measurements of wines by combining data dimension reduction and variable selection techniques

Date: Aug 21, 2008

Author:

Pattern recognition methods for classification and identification are increasingly used in several fields such as food chemistry, process monitoring, medical sciences, pharmaceutical chemistry and social and economic sciences.

Read More thumbnail image: Classification of GC-MS measurements of wines by combining data dimension reduction and variable selection techniques

An electronic taste for wine

Date: Aug 15, 2008

Author: David Bradley

The wine buff's palate is a complicated multisensory organ as anyone who knows their Bordeaux from their Beaujolais knows. Now, researchers have taken a step towards an artificial nose based on a system amenable to multivariate analysis. The system integrates a multisensor to test wine samples for adulteration or vintage fraud.

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A pilot study on colonic mucosal tissues by fluorescence spectroscopy technique: Discrimination by principal component analysis and artificial neural network analysis

Date: Jul 28, 2008

Author:

Colonic cancers are one of the most common causes for death due to cancer in the developed world today. In this paper, the authors aim to show the effectiveness of laser induced fluorescence spectroscopy to discriminate between malignant and non-malignant conditions in colonic mucusal tissue.

Read More thumbnail image: A pilot study on colonic mucosal tissues by fluorescence spectroscopy technique Discrimination by principal component analysis and artificial neural network analysis
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