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Effective concentration prediction

This predicts the constitutive activity of the G-protein-coupled receptor. Note the dependence on the effective concentration of the G-protein. [Pg.78]

For the ecological assessment, risk analysis was based on the traditional PEC/ PNEC ratio (Hazard Quotient) where PEC is the predicted environmental concentration (resulting from chemical analysis) and PNEC the predicted no-effect concentration. Ecological assessment for aquatic species was based on rainbow trout or fathead minnow while terrestrial assessment was based on small rodents like mice rats and rabbits. Exposures associated with HQ<1 were considered negligible. [Pg.178]

Fig. 64. Single-chain behavior in semi-dilute PDMS/d-chlorbenzene solutions. Line-shape parameter (3 as a function of Q at the concentration c = 0.18 and c = 0.45, indicating the occurance of two crossover effects, as predicted by the concept of incompletely screened hydrodynamic interactions. (----), (---) asymptotic Zimm and Rouse behavior, respectively. (Reprinted with per-... Fig. 64. Single-chain behavior in semi-dilute PDMS/d-chlorbenzene solutions. Line-shape parameter (3 as a function of Q at the concentration c = 0.18 and c = 0.45, indicating the occurance of two crossover effects, as predicted by the concept of incompletely screened hydrodynamic interactions. (----), (---) asymptotic Zimm and Rouse behavior, respectively. (Reprinted with per-...
The objective is to predict the concentration of the substance below which adverse effects in a particular environmental compartment are not expected to occur, i.e., the predicted no effect concentration (PNEC). However, in some cases, it may not be possible to establish a PNEC, and a qualitative estimation has to be made instead. An assessment factor is applied to... [Pg.19]

Alternative Methods PNEC Predicted no effect concentration... [Pg.25]

The method compares the predicted environmental concentrations (PECs), as indices of exposure, with predicted no effect concentrations (PNECs), as indices of... [Pg.58]

In general, only valid studies were used to derive predicted no effect concentrations (PNECs). Because in some cases only a few valid data were available, studies valid with restrictions have been used based on expert judgement. Invalid or non-assignable studies have not been used. In instances of volatile compounds, valid studies were generally those using closed, flow-through systems, preferably with analytical measurements. [Pg.60]

The risk posed to predators eating contaminated fish is determined by comparing the estimated daily intake (EDI) of fish predators (birds or mammals) with the predicted no-effect concentration in these predatory species. If adequate data are missing, the latter value was estimated from laboratory rodent or meat-eating animals (Table 3.3). [Pg.61]

The assessment of whether a substance presents a risk to the receiving environmental compartment is based on a comparison of the measured or predicted environmental concentration (PEC) of the chemical of concern with the predicted no effect concentration (PNEC) to organisms in the ecosystem. This is briefly discussed in Chapter 7.4. Studies carried out so far, e.g. by Vandepitte and Feijtel [91], show that the risk of anionic surfactants such as LAS, AE and AES for the aquatic environment is low, since the PECs are always lower than the maximum permissible concentrations. [Pg.73]

Environmental risk assessment of substances is nowadays based on an evaluation of exposure pathways and concentrations on the one hand and identification and selection of sensitive endpoints on the other. The concept is operationalised by comparing real or estimated (predicted) exposure concentrations (PEC) with calculated no-effect concentrations (NEC or PNEC, predicted NEC). The comparison can be made by calculating the quotient of exposure and no-effect concentration. If the quotient is less than one, then the substance poses no significant risk to the environment. If the quotient is greater than one, the substance may pose a risk, and further action is required, e.g. a more thorough analysis of probability and magnitude of effects will be carried out. [Pg.942]

When translated to the SMB conditions, these features imply that increasing feed concentration lead to an increasing degree of non-linearity due to the fact that the adsorption columns increasingly are operated under overload conditions. This effect is predicted by the approach summarized in the previous section, in particular by Eqs. (8) to (19), which allow the calculation of the constraints on m1 and m4 and the boundaries of the complete separation region in the (m2, m3) plane as a function of feed composition [19]. [Pg.221]

Even with the uncertainty in E2 active-site position, the models have suggested that there would be no E3 residues near the E2 active site, in agreement with the observations made in the c-Cbl-E2 structure. This again ruled out the possibility that the SCF E3 provides acid/base catalysis and the possibility that the SCF positions the -amino group of the lysine at the E2 active site [66]. The only plausible mechanism left accounting for the catalysis mediated by the SCF in substrate ubiq-uitination is that the E3 complex helps increase the effective concentration of a portion of the substrate that contains the physiological ubiquitination-site lysine at the E2 active site. This model made the testable prediction that the distance between the destruction motif and the ubiquitinated lysine is a determinant of the ubiquiti-nation efficiency. [Pg.179]

The prediction of the effective concentration model has been tested in an in vitro system reconstituted with El, E2 (UbcHS), and all purified to >90%... [Pg.179]

One such study details the effects of temperature variation on substrate and metabolite concentration predictions, and used an artificial neural network creating a nonlinear multivariate model to improve concentration predictions. Another study notes the effects of temperature on the mid-infrared spectral data as well, but also noted that the sensor was not affected by reactor operating conditions such as agitation, airflow and backpressure. ... [Pg.453]

MEC measured environmental concentrations ( ig L ), PNEC predicted no effect concentration, REEmec literature reference for the MEC value, REEnmc literature reference for the PNEC value... [Pg.83]


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See also in sourсe #XX -- [ Pg.221 ]




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Concentration prediction

Predicted concentrations

Predicted no effect concentration

Predicted no effect concentration PNEC)

Predictions effect

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