Sentence examples for the disruption process from inspiring English sources

The disruption process was investigated in detail in a French-press and compared with the cell disruption performance of a conventional bead mill.

The enzyme release response of the disruption process was modelled for the experimental factors of biomass concentration in the broth being disrupted, the homogenization pressure and the number of passes of the cell slurry through the homogenizer.

The data obtained were used to develop response surface models, artificial neural network (ANN) model and support vector machine (SVM) models for predicting the performance of the disruption process.

The targeted nature of an enzyme to a specific substrate plays a prominent role in selective disruption and extraction in addition to protecting target biomolecule integrity throughout the disruption process.

Notice that γ describes the system in a wide range of configurations in regard to the disruption process, for instance, from a MF with the same number of monomers and dimers (N d = N m ) at T = T i to a configuration in which dimers are completely disrupted (N d = 0) at T = T f.

Although the disruption process is different, the impact on vegetation is comparable yet more variable: according to the ash thickness plants might be totally buried, killed but with a rapid plant recovery due to seeds in the soil still being able to germinate (Anderson et al. 2012), or only covered temporarily by ash with a minor decay for a short time period (Ayiris and Delmelle 2012).

The optimization of the cell disruption process was aimed at finding the levels of independent variables (number of passes, cell concentration, pulse pressure), which would give maximum cell disruption capability and HBsAg release activity.

This feature brings difficulties to the cell disruption process, as the latter must be gentle enough to preserve organelle integrity as much as possible.

It is evident that pulse pressure was a key factor influencing the cell disruption process owing to the lowest p-value among the others (Table 2).

Therefore, in the present study, RSM based on a central composite design (CCD) was used to identify main factors (number of passes, biomass concentration and pulse pressure) influencing cell disruption capability of Avestin homogenizer on P. pastoris and to optimize the cell disruption process in maximizing the recovery of recombinant HBsAg.

The statistical analysis of the completely unseen data exhibited ANN and SVM modelling as proficient alternatives to RSM for the prediction and generalization of the cell disruption process in French press.