Sentence examples for microbial count was from inspiring English sources

The highest microbial count was obtained by detaching the biofilm from biofilter grains and dispersing clusters into singles cells using Tween 80 and sodium pyrophosphate combined with four steps of high energy sonication (27W, for 80 s each step); glutaraldehyde was shown to be the best fixative solution.

The microbial count was more correlated to the organic matter than the genetic relationship exhibited by Pleurotus mushrooms.

Microbial count was done by adding 10 g of waste or compost into 90 ml of sterile distilled water containing 0.85%% (w/v) sterile sodium chloride solution in 250 ml Erlenmeyer flasks.

As for the surfaces of rooms B and C, the mean percentage reduction in microbial count was 91.1% and 78.5%, respectively (Table 2).

With regard to the air conditioner surfaces of room A, the mean percentage decrease in microbial count was 25%, with an increase in Staphylococci (from 0.2 to 0.26 cmU/25 cm) after sanitization with BATT2.

Compared to the control which is the vancomycin free (placebo) formulations, considerable inhibition occurred after 8 hours of incubation for all formulations tested but after 24 hours of incubation the log reduction in the microbial count was approximately 5.2, 5.6, and 6.4 CFU/mL for F6, F20, and F13, respectively.

The effluent was first subjected to organic degradation in MBBR (with optimized carrier filling rate of 30%) followed by the bacterial degradation using solar energy in parabolic trough and the changes in values of parameters like pH, turbidity, chemical oxygen demand (COD), bio-chemical oxygen demand (BOD) and microbial count were monitored.

The reduction in microbial count is considered due to the transition from mesophilic to thermophilic conditions and these mesophiles are not resistant to such temperatures leading to inactivation of their populations (Haug 1993; Weppen 2001; Sundberg et al. 2004).

In contrast to visual plate counting, microscopic examination is impractical when the microbial count is low.

The performance of the network in the prediction of microbial counts was based on graphical plots and statistical indices (bias and accuracy factors, standard error of prediction, mean relative and mean absolute percentage residuals).

The use of this bacterium for the generation of a universal standard curve for the assessment of total microbial counts was already described by Kirakodu et al. [ 20].