Sentence examples for start of exponential phase from inspiring English sources

In contrast, when a similar experimental protocol was applied to Gram-negative E. coli, we noticed that the SERS spectra obtained from the bacteria growing at the start of exponential phase (OD600 = 0.4, Fig. 3D), towards the end of exponential phase (OD600 = 1.5) and at stationary phase (OD600 = 2.0), showed characteristic changes in their SERS profiles (Fig. 3E and quantified in Fig. 3G).

Three distinctive growth phases at OD600 0.4, 1.5 and 2.5 were used to represent bacterial growth at the beginning of exponential phase, the middle to late exponential phase and stationary phase, respectively.

The growth curves (DCW vs. time) were prepared to determine the start and end point of exponential phase for NA10 in batch fermentation.

Production of the biopolymer polyhydroxybutyrate (PHB) in Saccharomyces cerevisiae starts at the end of exponential phase particularly when the specific growth rate is decreased due to the depletion of glucose in the medium.

At the end of exponential phase, bacteria started to generate the butanol dehydrogenase, which was responsible for producing butanol.

The time points selected at both temperatures were: 2 h after inoculation, when the OD doubled the initial OD, in the middle of exponential phase, and finally at the start and at the end of the stationary phase (sugar exhaustion).

Cells were aerobically grown until end of exponential phase.

The N. oculata specific growth rate, which was the change of the natural log of the cell number density ( C n ) with time (t), was calculated from the slope of the linear regression of time (days) and cell density (cells/ml) [36]: μ = d ln C n / d t = ln C t - ln C o / t - t o (1 where C t is cell density at time (t), and C o is cell density at the start of the exponential phase ( t o ).

Considering X0 is still in the heart of Log linear phase amplification, so, raw fluorescence data points from the determined start cycle of the exponential phase to X0 cycle were chosen for further analysis.

The evaluation of background-normalised qPCR data can be subjective; for example, assessing the quality of a curve, or determining the perfect starting point of the exponential phase and where to assign the threshold for Cq generation.

Miner software pinpoints the starting and ending points of PCR exponential phase from raw fluorescence data, and estimates primer set amplification efficiencies through a nonlinear regression algorithm without the need of a standard curve.