• Non ci sono risultati.

Optimization and applications of the microbiological survey method MBS

N/A
N/A
Protected

Academic year: 2021

Condividi "Optimization and applications of the microbiological survey method MBS"

Copied!
97
0
0

Testo completo

Loading

Figura

Figure 2. Color change of the MBS vials. The starting color blue (left), changes to yellow (right) in the presence of
Table 1. Example of correlation between bacterial concentration (expressed as CFU/g or ml) and time taken for  the vials to change color (expressed as hours)
Figure 3. MBS Multireader
Table 2. Comparison analysis of the results obtained both for total viable count and for total coliforms on 100ml  of different water samples between the MBS method and the reference method
+7

Riferimenti

Documenti correlati

In chapters 2 and 3 we have presented a pure deterministic Pattern search algorithms (PS), and two stochastic algorithms Particle Swarm Optimization (PSO) and Differential

However, according to the last decree 36 regarding the basement of the State Policy of the RF in the Arctic region for the period up to 2035 signed on 5 th March 2020, the

Finally in the Chapter 5, a technique, based on a combination of the Mode Matching-Finite Element Method, Spectral Decomposition (MM-FEM-SD) and Method of Moments (MoM), to

Since the Kamchatka territory is washed by the Pacific Ocean, by the Okhotsk and the Bering Seas, which are the zones of increased cyclone activity, Kamchatka may be considered as a

During the transfer of data to the tax authorities on the availability of real property subject to taxation from physical persons, identification of addresses of buildings in

Kprowpc j , K prowkh j , K prowkp j – value of the repaid bank commission in the j-th year of operation during the loan repayment period of N sbpc years, taken to cover

In this paper authors presented the results of the study whether the standard deviation of measurement data can be used as optimization criterion in the process of dataset reduction

The first feature representation is a vector of values that are relative to the total number of instances of each category of function word produced by the given person across