Fingerprint mode

Table 5 Third order coupling constants between the i/nh2 mode and relevant fingerprint modes (in cm-1) in AT-(H20)2. The numbers in parentheses refer to the isolated AT case.

In summary, the presented results demonstrate the capacity of combining IR-pump-probe methods with calculations on microsolvated base pairs to reveal information on hidden vibrational absorption bands. The simulation of real condensed phase dynamics of HBs, however, requires to take into account all intra- and intermolecular interactions mentioned in the Introduction. As far as DNA is concerned, Cho and coworkers have given an impressive account on the dynamics of the CO fingerprint modes [22-25]. Promising results for a single AU pair in deuterochloroform [21] have been reported recently using a QM/MM scheme [65]. 

When pyrolysis is applied to a microbial sample, a complex mixture of thermal degradation products is produced. Analytical pyrolysis is often performed in a fingerprinting mode using sophisticated pattern recognition methods. However, if the chemical basis of pattern differences is not defined, pyrograms are so complex... 

Line start-incremental monitoring system centrifugal disk photosedimentometers yield direct information on the largest and smallest fineparticle present in system. They can be operated in the fingerprint mode that is, the pen recorder traces for good and bad powders in a quality control situation can be established and compared directly to the traces generated by powder samples taken from production run. 

In the 1990s the search for characteristic pyrolysis products of complex biomolecules with the use of GC-MS and MS-MS instruments has firmly established the usefulness of analytical pyrolysis techniques when used in a biochemical marker detection, rather than in a fingerprinting mode. Either direct pyrolysis followed by analysis of thermal fragmentation products or, alternatively, chemical derivatization followed by analysis of the derivatized products... 

The lower the frequency, the more likely that a band is due to a fingerprint mode. 

One of the most common modes of characterization involves the determination of a material s surface chemistry. This is accomplished via interpretation of the fiag-mentation pattern in the static SIMS mass spectrum. This fingerprint yields a great deal of information about a sample s outer chemical nature, including the relative degree of unsaturation, the presence or absence of aromatic groups, and branching. In addition to the chemical information, the mass spectrum also provides data about any surface impurities or contaminants. 

SALI compares fiivorably with other major surface analytical techniques in terms of sensitivity and spatial resolution. Its major advantj e is the combination of analytical versatility, ease of quantification, and sensitivity. Table 1 compares the analytical characteristics of SALI to four major surfiice spectroscopic techniques.These techniques can also be categorized by the chemical information they provide. Both SALI and SIMS (static mode only) can provide molecular fingerprint information via mass spectra that give mass peaks corresponding to structural units of the molecule, while XPS provides only short-range chemical information. XPS and static SIMS are often used to complement each other since XPS chemical speciation information is semiquantitative however, SALI molecular information can potentially be quantified direedy without correlation with another surface spectroscopic technique. AES and Rutherford Backscattering (RBS) provide primarily elemental information, and therefore yield litde structural informadon. The common detection limit refers to the sensitivity for nearly all elements that these techniques enjoy. 

For large molecules, at least, Raman spectra contain numerous bands which cannot always completely he assigned to particular vibrational modes. The large number of bands can, however, when measured with appropriate spectral resolution, enable unambiguous identification of substances by comparing the spectral pattern ("fingerprint") with those of reference spectra, if they are available. 

Fig. 2e), virtually absent in perfect siUcalite-1 and immediately identified as a fingerprint of TS-1 material [37,52-55,63,70,71]. A qualitative correlation between the intensity of the infrared band at 960 cm and Ti content has been observed since the first synthesis of TS-1. Indeed, the occurrence of that band is one of the distinctive features of the material cited in the original patent [7]. However, the quantitative correlation has been reported only very recently by Ricchiardi et al. [52], owing to very serious experimental problems related to the saturation of the IR framework modes, hi the same work, the nature of the 960 cm band has been discussed in terms of theoretical calculations based on both cluster and periodical approaches. 

In the early 1990s Raman spectroscopy was applied to the characterization of TS-1 catalysts [55,56]. In such experiments, beside the 960 cm band, already observed by IR spectroscopy (see Sect. 3.5), a new component at 1125 cm was detected by Scarano et al. [55] (see Fig. 2f). The 1125 cm band was recognized to be a fingerprint of the insertion of Ti atoms in the ze-olitic framework [55]. This band could not be observed in the IR studies as totally overshadowed by an extremely intense band around 1000 cm due to Si02 framework modes (Fig. 2e). 

In both cases, GC fingerprint libraries must be built before quantitative analysis can be routinely carried out. In analysis of QTLC by laser pyrolysis scanning (LPS), the TLC plates are placed in a chamber after development, and were irradiated with an IR laser to produce a high temperature at the location of the spot. The analyte is swept by a carrier gas to a GC, and detected with FID or ECD. The technique combines the separation power of TLC and the detection modes of GC [846]. 

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