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Spectral analysis of biochemical reactions used for identification of bacteria


, : Spectral analysis of biochemical reactions used for identification of bacteria. European Journal of Clinical Microbiology 3(4): 310-315

To define parameters for optimizing automated discrimination of bacterial biochemical reactions certain theoretical considerations of spectrophotometric analysis were explored. Recent clinical isolates (101) of gram-negative bacilli (21 spp.) were inoculated into AP1 20 E strips and read manually after 24 h. With spectrophotometric scanning the AP1 reactions could be classified inot 3 analytical categories: pH change, production of new products and darkening of the medium. Whereas single wavelength analysis gave 2.9% disagreement from the visual, multiple wavelength analyses were uniformly more accurate. The best results for pH change reactions were obtained by calculating a ratio of 2 wavelengths. New color reactions were best interpreted by demonstration of the new peak; darkening reactions required quantitation of the area under the entire curve. With these methods, a 99.3% overall agreement of individual reactions and a 97% agreement of identification were achieved. Multiple-point analysis of spectra coupled with computerized interpretation of the data should help resolve the problem of equivocal reactions in bacterial identification schemes optimized for spectral analysis.

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Accession: 006459385

PMID: 6386460

DOI: 10.1007/bf01977479

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