scholarly journals New method of complex photo-fluorescent microbiotesting

2019 ◽  
Vol 489 (6) ◽  
pp. 641-645
Author(s):  
V. S. Sibirtsev ◽  
A. V. Garabadgiu ◽  
V. I. Shvets

The biotesting procedure is described, which provides for recording changes in the intensities of elastic light scattering, light absorption and intrinsic photofluorescence of the protein component, as well as determination of concentration and structuring coefficients of the genomic component of samples with viable unicellular test organisms, incubated in a liquid nutrient medium in the presence and absence of various external chemical factors. The results of the analysis using this technique of the antibiotic activity of cations of various metals are presented. It is shown that using this technique can be much more rapid, objectively and comprehensively than using standard visual microbiotesting methods, to assess the effect on reproduction rate, metabolic activity and genome structure of test organisms of samples of various products, wastes, etc.

1993 ◽  
Vol 65 (1) ◽  
pp. 1-10 ◽  
Author(s):  
S. Kölchens ◽  
V. Ramaswami ◽  
J. Birgenheier ◽  
L. Nett ◽  
D.F. O'Brien

1993 ◽  
Vol 58 (11) ◽  
pp. 2535-2551
Author(s):  
Lars-Olof Sundelöf ◽  
Bedřich Porsch

A theory for deviation functions defined as the deviation from strict gaussian behaviour of electric field correlation functions obtained from Quasi-Elastic Light Scattering experiments is presented. Its application to systems with different types of particle size distributions is treated both theoretically and by numerical examples. Expressions are given for distributions where the correlation function can be expressed as Laplace transform in closed form. The theory is also compared with experiments on solutions of polymers with a variety of molecular mass distributions. It is concluded that even if the procedure based on deviation functions cannot compete with other numerical inversion methods in the direct determination of molecular size distributions it may substantially help to visualize the magnitude of the effect of polydispersity and serve as a prerequisite for a decision concerning how far it is meaningful to purse more precise calculations. This is essentially equivalent to a judgment of the noise level of the experiment and of the "information content" to be expected.


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