Vibrational spectroscopic techniques have advantages over conventional microbiological approaches towards identification & detection of pathogens. Since unique spectral fingerprint is obtained, one can identify very closely related bacteria using such methods. In this study Raman microspectroscopy in combination with chemometric method has been used to classify four strains of E. coli (two path...

In the present study, trace elements including Na, Mg, K, Ca, Mn, Fe, Cu, Zn, Cd and Pb in Althaea rosea seeds were determined by flame and graphite furnace atomic absorption spectrometry. This method coupled with microwave-assisted acid digestion, based on a mixture of nitric acid and hydrogen peroxide. In order to get a better insight into the elemental patterns, the chemometric techniques of...

13 Abstract 14 Soil has been utilized in criminal investigations for some time because of its prevalence and 15 transferability. It is usually the physical characteristics that are studied, however the research 16 carried out here aims to make use of the chemical profile of soil samples. The research we are 17 presenting in this work used sieved (2mm) soil samples taken from the top soil layer ...

Environmental monitoring studies produce huge amounts of concentration values of chemicals spread at distant geographical sites and during different time periods. Moreover, the content of chemicals is also estimated at different environmental compartments (i.e. air, water, sediments, biota...). All these data values are difficult to cope and evaluate in a simple and fast way using simple univar...

The yeasts Zygosaccharomyces bailii, Dekkera bruxellensis (anamorph, Brettanomyces bruxellensis), and Saccharomyces cerevisiae are the major spoilage agents of finished wine. A novel method using Raman spectroscopy in combination with a chemometric classification tool has been developed for the identification of these yeast species and for strain discrimination of these yeasts. Raman spectra we...

Due to recent advances in methods and software for model-based clustering, and to the interpretability of the results, clustering procedures based on probability models are increasingly preferred over heuristic methods. The clustering process estimates a model for the data that allows for overlapping clusters, producing a probabilistic clustering that quantifies the uncertainty of observations ...

The counter-propagation neural networks have been widely used by the chemometricians for more than fifteen years. This valuable tool for data analysis has been applied for solving many different chemometric problems. In this paper the implementation of counter-propagation neural networks in Matlab environment is described. The program presented here is an extension of Self-Organizing Maps Toolb...