Separation of the strength and selectivity of the microbiological effect of synthetic dyes by spectral mapping technique

The growth inhibitory effect of 30 synthetic dyes on 22 bacteria (test organisms) belonging to various taxonomic groups was determined. The strength (potency) and selectivity of the biological effect were separated by the spectral mapping technique, reducing the dimensionality of the selectivity map...

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Bibliographic Details
Published in:Chemosphere (Oxford) 2003-07, Vol.52 (1), p.185-193
Main Authors: Oros, Gyula, Cserháti, Tibor, Forgács, Esther
Format: Article
Language:English
Subjects:
Bacteriological methods and techniques used in bacteriology
Bacteriology
Biological and medical sciences
Biological Assay
Coloring Agents - adverse effects
Forecasting
Fundamental and applied biological sciences. Psychology
Gram negative and positive bacteria
Gram-Negative Bacteria
Gram-Positive Bacteria
Microbiological effect
Microbiology
Models, Theoretical
Nonlinear mapping
Spectral mapping
Spectrum Analysis
Synthetic dyes
Water Pollutants - adverse effects
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Summary:The growth inhibitory effect of 30 synthetic dyes on 22 bacteria (test organisms) belonging to various taxonomic groups was determined. The strength (potency) and selectivity of the biological effect were separated by the spectral mapping technique, reducing the dimensionality of the selectivity maps to two by the nonlinear mapping technique. The relationship between biological effect and physicochemical parameters of dyes was elucidated by stepwise regression analysis. It has been established that the strength of the effect of anthracene and trityl derivatives was higher than that of azobenzene dyes and significantly depended on the hydrophobicity of the compound. The selectivity of the effect also depended on hydrophobicity and on the nonpolar unsaturated surface area of the dyes. Gram negative and Gram positive bacteria differed in the strength and selectivity of their response to dyes indicating the marked impact of the taxonomical position on the response. Contrary to other multivariate mathematical statistical methods biological activity may be divided by SPM into potency and selectivity values, therefore, application of the technique in future QSAR studies is highly recommended.
ISSN:0045-6535
1879-1298
DOI:10.1016/S0045-6535(03)00158-9