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G-hopping

For each group, one representative sample matrix has to be used for method validation. If the intended use is restricted to one of the crop groups, the method must be validated only for this group. On the other hand, the method has to be validated for all groups if the use is intended for a variety of crops that belong to two or more different groups. In addition, specific crops which are difficult to analyze due to matrix interference require individual method validation (e.g., hops, brassica varieties, bulb vegetables, herbs, tea). [Pg.29]

As the sensitivity and selectivity of the above GC/MS methods are for many analytes around 1 pg injected into the GC system, cleanup by SiOa fractionation can be omitted when larger sample sizes (25-100 g) are possible. For difficult dry (e.g. hops, pharmaceutical herbs) or oily (e.g. rape seed, fat, liver) materials which start with smaller sample sizes (5-10 g) and tend to overload the chromatographic cleanup systems, however, cleanup is still an important requirement as the GC injection system is vulnerable when the ratio of co-extracted material to analyte is too high. [Pg.57]

For samples that contain a very high level of matrix co-extractives, e.g., hops, a secondary cleanup is required. Dissolve the evaporated Cig eluate in dichloromethane (2.5 mL). Precondition a silica SPE column (200-mg/3-mL) with dichloromethane (2.5 mL) and transfer the sample on to the column, discarding the column eluate. Wash the column with 2.5 mL of dichloromethane-ethyl acetate (19.5 0.5, v/v). Elute the azoxystrobin with 2.5 mL of dichloromethane-ethyl acetate (3 1, v/v). Evaporate the eluate to dryness in a heating block at 50 °C under a stream of clean, dry air and dissolve the residue in 1 mL of acetonitrile-water (1 1, v/v), transferring the solution to an autosampler vial ready for quantitation by LC/MS/MS. [Pg.1171]

To our knowledge, there are no other direct measurements of the dynamics of interstrand hole transport. However, the strand cleavage studies of Meggers et al. [17] have clearly demonstrated that long-distance hole transport can occur via a G-hopping sequence in which guanines are located in both strands. Other workers have assumed that hole transport occurs exclusively via intrastrand pathways [45]. [Pg.69]

In Germany, production plants for extracts, e.g. hop extract, are operated with subcritical separation (Figure 6). In these plants, heat recovery measures may significantly reduce the energy consumption. Energy calculations were performed for the example of a SCF extraction plant for processing 15 t hops/24 h with extraction at 300 bar and 60 C, separation at 60 bar and 40 C, a specific solvent mass flow of 10 kg CO2 / (h kg. hops) and an extraction time of 4 h. A comparison of different process variants for... [Pg.486]

Falk-Petersen, S., Pedersen, G., Hop, H., Hegseth, E.N. and Kwasniewski, S. (1999) Spatial distribution and life-cycle timing of zooplankton in die Marginal Ice Zone of die Barents Sea during summer melt season in 1995. Journal of Plankton Research, 20, 1249—1264. [Pg.150]

In addition to G, hopping among A has been reported. In 2001, Giese etal. reported high yield hole transfer from the G radical cation to the GGG unit separated by... [Pg.1730]

Figure 12 DNA investigated for the estimation of the intra- and interstrand G hopping rate. The sch atic energy diagram for the hole migration is shown at the bottom. (Reprodnced from Ref. 155. WUey-VCH, 2005.)... Figure 12 DNA investigated for the estimation of the intra- and interstrand G hopping rate. The sch atic energy diagram for the hole migration is shown at the bottom. (Reprodnced from Ref. 155. WUey-VCH, 2005.)...
We now focus on the probabilities of hopping from one electronic state to the other. We recall that in our simulation we set ci( = 0) = 1 and C2Q = 0) = 0. pmm jg. ] g hopping probability obtained by numerical evaluation of eqn (5.14). We take these numbers as the reference value since they are those that best reflect the notion of hopping probabilities in the mixed quantum-classical framework we exposed in the first section. P is the hopping probability calculated with the analytical expression, eqn (5.19). Finally P is the hopping probability calculated with the Landau-Zener model [Pl = l-exp[2%Hl2in if- ]y ... [Pg.139]


See other pages where G-hopping is mentioned: [Pg.84]    [Pg.37]    [Pg.46]    [Pg.27]    [Pg.445]    [Pg.446]    [Pg.461]    [Pg.345]    [Pg.617]    [Pg.617]    [Pg.475]    [Pg.1547]    [Pg.64]    [Pg.490]    [Pg.227]    [Pg.1730]    [Pg.1731]    [Pg.1731]    [Pg.1732]    [Pg.18]    [Pg.434]    [Pg.809]   
See also in sourсe #XX -- [ Pg.36 , Pg.175 ]




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