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D Experiments

Toxicity. Fluoroborates are excreted mostly in the urine (22). Sodium fluoroborate is absorbed almost completely into the human bloodstream and over a 14-d experiment all of the NaBF ingested was found in the urine. Although the fluoride ion is covalently bound to boron, the rate of absorption of the physiologically inert BF from the gastrointestinal tract of rats exceeds that of the physiologically active simple fluorides (23). [Pg.165]

One final technical improvement in soHd-state nmr is the use of combined rotational and multiple pulse spectroscopy (CRAMPS) (2), a technique which also requires a special probe and permits the acquisition of high resolution H and X nucleus nmr from soHds. The combination of these methods permits adapting most of the 1-D and 2-D experiments previously described for Hquids to the soHd phase. [Pg.409]

The secondary stmcture elements are then identified, and finally, the three-dimensional protein stmcture is obtained from the measured interproton distances and torsion angle parameters. This procedure requites a minimum of two days of nmr instmment time per sample, because two pulse delays are requited in the 3-D experiment. In addition, approximately 20 hours of computing time, using a supercomputer, is necessary for the calculations. Nevertheless, protein stmcture can be assigned using 3-D nmr and a resolution of 0.2 nanometers is achievable. The largest protein characterized by nmr at this writing contained 43 amino acid units (51). However, attempts ate underway to characterize the stmcture of interleukin 2 [85898-30-2] which has over 150 amino acid units. [Pg.396]

For 2-D experiments, not only will you need to set the number of points for your direct detection dimension, you will also need to set the number of experiments in the second dimension as this will determine what resolution you have in that dimension. There is no simple answer to help here - it... [Pg.28]

Acquiring your data is just the first step in producing a useful spectrum. Fortunately, systems are normally set up so that they perform the processing steps automatically. Most of the time they do an excellent job and your data is fine. Sometimes you may have special requirements and other processing will be required. This chapter looks at some of the things that can be altered to improve the appearance of the data for you. Note that most of the examples are for 1-D proton spectra but all of the sections are valid for certain types of 2-D experiment. [Pg.33]

So far, we have talked about phasing 1-D spectra but this is also valid for some 2-D experiments. Phase-sensitive 2-D experiments also require phasing in one or both dimensions. Similar approaches are used as described here. Note that this is not necessarily the case for all 2-D experiments as some of them are collected in magnitude mode where we look at only the intensity of the signals, not their sign. [Pg.37]

Of course, you can find yourself looking at spectra that are complex enough to warrant numerous decoupling experiments for elucidation. In these circumstances, running a single correlated spectroscopy (COSY) 2-D experiment as an alternative might well be the answer. A full explanation of the theoretical... [Pg.112]

First, it is useful to understand what we mean by 1-D and 2-D experiments. If you consider a normal proton spectrum, it is plotted in two dimensions (chemical shift on the x axis and intensity on the y), so why is it called 1-D In fact, when NMR started, it wasn t because there was no need to distinguish it from what we now call 2-D. The dimensions that we are talking about are the number of frequency dimensions that the data set possesses. To try to understand we need to explain the basics of the pulse programme. If we take a simple example (e.g., 1-D proton) we can represent the pulse sequence in Figure 8.1. [Pg.113]

In the 2-D experiment, as in the COSY, no selection of any signal is required. The sequence is initiated and the data collected. [Pg.116]

Second, the resolution achieved in a 2-D experiment, particularly in the carbon domain is nowhere near as good as that in a 1-D spectrum. You might remember that we recommended a typical data matrix size of 2 k (proton) x 256 (carbon). There are two persuasive reasons for limiting the size of the data matrix you acquire - the time taken to acquire it and the shear size of the thing when you have acquired it This data is generally artificially enhanced by linear prediction and zero-filling, but even so, this is at best equivalent to 2 k in the carbon domain. This is in stark contrast to the 32 or even 64 k of data points that a 1-D 13C would typically be acquired into. For this reason, it is quite possible to encounter molecules with carbons that have very close chemical shifts which do not resolve in the 2-D spectra but will resolve in the 1-D spectrum. So the 1-D experiment still has its place. [Pg.136]

If 2-D NMR techniques are really useful then 3-D ones must be even more so... shouldn t they A number of 3-D experiments have been devised which are in fact, produced by merging two, 2-D experiments together. The results could never be plotted in true 3-D format since etching them into an A3-sized block of glass would not be practical and viewing them as some sort of holographic projection, would probably not be feasible In essence, 3-D spectra have to be viewed as slices through the block which effectively yield a series of 2-D experiments. It is possible to combine techniques to yield experiments such as the HMQC-COSY and the HSQC-TOCSY. [Pg.149]

For example, Table 1 shows the results of the calculation D (Experiment 2) and residual activity A (Experiment 3) in AChE-biotests (Fig. 2) after the action of the ezerine and prozerine. [Pg.154]

Kateman, F. Pijpers, F. W., Quality Control in Analytical Chemistry, Wiley-Interscience, 1981. Kealey, D., Experiments in Modern Analytical Chemistry. Blackie, Glasgow, 1986. [Pg.26]

Goupy, J. (2005). Pratiquer les plans d experiences, Dunod, Paris. [Pg.221]

Soil In a 14-d experiment, [ C]anthracene applied to soil-water suspensions under aerobic and anaerobic conditions gave CO2 yields of 1.3 and 1.8%, respectively (Scheunert et al, 1987). The reported half-lives for anthracene in a Kidman sandy loam and McLaurin sandy loam are 134 and 50 d, respectively (Park et al., 1990). [Pg.116]

Razo-Flores et al. (1999) studied the fate of 2,4-dinitrotoluene (120 mg/L) in an upward-flow anaerobic sludge bed reactor containing a mixture of volatile fatty acids and/or glucose as electron donors. 2,4-Dinitrotoluene was transformed to 2,4-diaminotoluene (52% molar yield) in stoichiometric amounts until day 125. Thereafter, the amine underwent continued degradation. Approximately 98.5% of the volatile fatty acids in the reactor was converted to methane during the 202-d experiment. [Pg.512]


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