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Promotional model

How can we confirm this sacrificial promoter model By simply looking at the r vs t transient behaviour of Figure 4.13 or of any galvanostatic NEMCA experiment upon current interruption (1=0). [Pg.130]

The common underlying principle was shown in Figure 11.2. The electrochemical potential of electrons jl e(=Ep, the Fermi level) in the metal catalyst is fixed at that of the Fermi level of the support.37 This is valid both for electrochemically promoted model catalysts (left) and for seminconducting or ion-conducting-supported metal nanoparticles (right). [Pg.497]

As has been discussed above, knowledge of the dispersion of the catalyst is extremely difficult to obtain, especially in the promoted systems. This is the main obstacle to clear differentiation between the promoter models proposed and remains so today. Chemisorption techniques to count the active sites present on the sulfided surfaces have had limited success. 02 chemisorption has been associated with edge vacancies (active sites) on pure M0S2 (100). However, the same authors showed that it was impossible to correlate activity and amount of 02 chemisorbed on Co- or Ni-promoted molybdenum sulfide (101). The use of other test molecules was disputable, particularly NO, which can strongly modify the structure of the surface during the measurement (102). [Pg.225]

Figure 12.11 Initiation/promotion model. X = application of initiator, P = application of promoter. Figure 12.11 Initiation/promotion model. X = application of initiator, P = application of promoter.
Tritscher AM, Goldstein JA, Portier CJ, et al. 1992. Dose-response relationships for chronic exposure to 2,3,7,8-tetrachlorodibenzo-p-dioxin in a rat tumor promotion model Quantification and immuno-localization of CYP1A1 and CYP1A2 in the liver. Cancer Res 52 3436-3442. [Pg.697]

TABLE 27.11 Critical review of in vivo initiation-promotion model systems for identification and characterization of atypical tumor promoters and tumor progression... [Pg.619]

Figure 24.15. Diagrammatic scheme of the initiation promotion model. Topical application of a subthreshold dose of an initiating carcinogen to mouse skin will result in no tumor formation however, if this dose is followed by repetitive treatment with a tumor promoter, then tumors will develop. Initiation is an irreversible genetic event leading to the development of an initiated cell which can remain dormant until exposed to a tumor promoter. Tumor promoters produce the clonal expansion of the initiated cell to form a tumor. Figure 24.15. Diagrammatic scheme of the initiation promotion model. Topical application of a subthreshold dose of an initiating carcinogen to mouse skin will result in no tumor formation however, if this dose is followed by repetitive treatment with a tumor promoter, then tumors will develop. Initiation is an irreversible genetic event leading to the development of an initiated cell which can remain dormant until exposed to a tumor promoter. Tumor promoters produce the clonal expansion of the initiated cell to form a tumor.
In the rodent liver initiation-promotion model, phenobarbital is a tumor promoter. Phenobarbital is a hepatic mitogen, and recent evidence indicates that it activates the transcription factor, constitutive androstane nuclear receptor (CAR). Additionally, CAR was found to be essential for liver tumor promotion in pheno-barbital-treated mice. In phenobarbital promoted preneoplastic foci and hepatic tumors, phenobarbital can also suppress apoptosis and accelerate the growth of the foci or tumor. Withdrawal of phenobarbital treatment is accompanied by an increase in apoptosis. Similar results involving the inhibition of apoptosis have been reported for nafenopin, a peroxisome proliferator and hepatic tumor promoter. [Pg.561]

Neonatal rodents (in vivo) Initiation-Promotion models (in vivo)... [Pg.440]

A promotional model to be used as a framework for the marketing of VAM was developed to address the issues outlined above (see Fig. 1). Development of the model also took place alongside a quantitative telemarketing survey conducted amongst identified decision makers in industry. The objectives of the survey were to identify potential barriers to adoption of VAM identify the communication objectives and key messages benchmark the overall awareness of VAM. [Pg.145]

Whilst senior dedsion-makers who are producers of analytical data can still be encouraged to adopt VAM through the route suggested in the VAM promotional model, i.e. via the VAM welcome pack and manager s guide, the model needs further adaptation in order to explain how the producer analysts can be addressed. [Pg.146]

These definitions imply that the senior decision-makers targeted previously in the promotional model for producers could in fact be both producers and users of analytical data. It is clear that, to market VAM effectively, a clear understanding of the benefits of VAM is required from the distinct viewpoint of users and producers. In the case of senior decisionmakers they will be in a position to take advantage of some or all of these dependent on whether they are adopting a user or producer role. [Pg.147]

Burns, R, Albert, R., Altshuler, B., and Morris, E. (1983). Approach to risk assessment for genotoxic carcinogens based on data from the mouse skin initiation-promotion model. Environ Health Perspect 50, 309-320. [Pg.157]

We will briefly discuss individual methods in these two categories with emphasis on the implementation of the biological principles of promoter features. Recently, a practical comparison of the majority of available tools based on general promoter models has been carried out, which has shown that none of these methods is dearly superior to its peers [50]. Therefore, I will not go into details about performance of the methods here (see Chapter 3 for details). [Pg.147]

Michael Zhang [58] published a new method to detect TATA-box containing core promoters by discrimination analysis. This method is available via a WWW-interface, which already requires restriction of the sequence length to 1 kb. Core Promoter Search and NNPP are alternative implementations of a similar general promoter model and can be applied in parallel. [Pg.150]

These programs also rely on statistical promoter models but include directly or indirectly some organizational features of promoters placing them in between the pure statistical models and attempts to approximate the biologically important structured organization of promoters. [Pg.150]

Generally, this group of methods achieves much higher specificity than programs following general models. However, the price for this increase in specificity is usually restriction of the promoter models to a small subset (class) of promoters. [Pg.152]

In order to avoid this methods can be designed to yield the utmost specificity (e.g., specific promoter modeling as discussed above). Here, the catch is that inevitably a high number of false-negative results, which also may obscure 70% to 90% of the true positive regions. [Pg.153]

In model kinetics investigations, the rate of carbonylation of [Ir(CO)2l3Me] was found to be substantially enhanced by the addition of the neutral ruthenium complexes, [Ru(CO)3l2]2, [Ru(CO)4l2], or [Ru(CO)2I2] comparable promotional effects were also found for Inl3, Gal3, and Znl2 [125]. Activation parameters for the ruthenium-promoted model reaction (AH, 90 kj mol, AS, 63 J K 1 mol-1) are comparable to those observed for the ruthenium-promoted catalytic carbonylation process (AH, 96 kj mol-1 AS, 40 J K-1 mol-1) [125]. [Pg.32]

The modification of platinum surfaces by foreign metal atoms promotes the oxidation of methanol either in UHV conditions or in the electrochemical environment. This promotion model has been mainly discussed in electrochemistry using the third body model [37], the ligand effect [38], or the bifunctional effect [9,39,40], A theoretical review on the inclusion of metal reaction promoters was undertaken by Anderson et al. [41] and later discussed in [42],... [Pg.51]


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See also in sourсe #XX -- [ Pg.179 , Pg.420 ]




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Atypical tumor promoters models

Electron promotion model

Initiation-Promotion Model for Chemical Carcinogenesis

Initiation-promotion model

Mathematical Modeling Dimensionless Numbers Governing Electrochemical Promotion and Metal-Support Interactions

Mathematical Modeling of Electrochemical Promotion

Model catalysts alkali promoters

Models of Structural Promotion

Promoters electrostatic model

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