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Gradient separation 7581 Subject

A mixture of 14 compounds was subjected to a reversed-phase gradient separation going from 5% to 100% acetonitrile with a gradient time of 60 min. The sample was injected at t = dwell time. All peaks were eluted between 22 and 41 min. [Pg.587]

Figure 1. A two-dimensional electrophoresis (2DE) separation of 80 tg of heart (ventricle) proteins. The first dimension comprised an 18 cm non-linear pH 3-10 immobihsed pH gradient (IPG) subjected to isoelectric focusing. The second dimension was a 21 cm 12% SDS-PAGE (sodium dodecylsulphate polyacrylamide gel electrophoresis) gel. Proteins were detected by silver staining. The non-linear pH range of the first-dimension IPG strip is indicated along the top of the gel, acidic pH to the left. The Mr (relative molecular mass) scale can be used to estimate the molecular weights of the separated proteins. Figure 1. A two-dimensional electrophoresis (2DE) separation of 80 tg of heart (ventricle) proteins. The first dimension comprised an 18 cm non-linear pH 3-10 immobihsed pH gradient (IPG) subjected to isoelectric focusing. The second dimension was a 21 cm 12% SDS-PAGE (sodium dodecylsulphate polyacrylamide gel electrophoresis) gel. Proteins were detected by silver staining. The non-linear pH range of the first-dimension IPG strip is indicated along the top of the gel, acidic pH to the left. The Mr (relative molecular mass) scale can be used to estimate the molecular weights of the separated proteins.
If we now take all the compounds that elute in the retention-time window of our analyte and subject this mixture to a completely orthogonal second gradient separation, the 40 compounds will be distributed evenly over the entire gradient window, and the chances of an interference are significantly reduced. In practice, a little bit of optimization work would eliminate any remaining interferences, and the analyte can be quantitated without difficulty. In a one-dimensional chromatographic system, this task would be virtually impossible. [Pg.342]

It should be noted that the decomposition shown in Eq. 3.7.2 is not necessarily a subdivision of separate sets of spins, as all spins in general are subject to both relaxation and diffusion. Rather, it is a classification of different components of the overall decay according to their time constant. In particular cases, the spectrum of amplitudes an represents the populations of a set of pore types, each encoded with a modulation determined by its internal gradient. However, in the case of stronger encoding, the initial magnetization distribution within a single pore type may contain multiple modes (j)n. In this case the interpretation could become more complex [49]. [Pg.344]

To characterize rheological behavior of materials, some basic terms need to be defined. Consider a liquid material that is subjected to a shearing force as illustrated in Fig. 2. The liquid is assumed to consist of a series of parallel layers with the surface area A, the bottom layer being fixed. When a force is applied on the top layer, the top plane moves at a constant velocity, whereas each lower layer moves with a velocity directly proportional to its distance from the stationary bottom layer. The velocity gradient (dv/dr, the difference in velocity, dv, between the top and bottom planes of liquid separated by the distance, dr) is also called the rate of shear, G ... [Pg.252]

When a gas mixture is subjected to a temperature gradient, diffusion occurs establishing a separation, 9. [Pg.259]

Multitarget forensic applications of HPLC for other drug classes are also available in the literature. Josefsson et al. [77] applied HPLC-MS-MS to the determination of 19 neuroleptics and their major metabolites in human tissues and body fluids. Optimal separation was achieved using a cyano column within a 9 min gradient run. Detection was curried out in SRM reaching LQDs down to the lower ng/mL level, although more than a 10-fold difference in signal response was observed between analytes. The method was subjected to partial validation only. [Pg.670]


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Gradient separation

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