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Retention parameter techniques

Retention parameter techniques (such as GC, CE, or LC techniques equipped with selective detectors) are accepted as identification techniques, however, only when used in combination with at least one of the spectrometric techniques listed above, and when compared to the results obtained from a reference standard analyzed under similar conditions as the sample, giving consistent results. [Pg.99]

A chromatographic separation step provides various advantages to the analytical procedure (i) each component is isolated from the others (which facilitates identification) (ii) minor components in mixtures may be detected more readily than by direct analysis techniques (iii) the chromatographic retention parameter provides additional confirmation that a particular component is present or absent and (iv) quantitative analysis. However, chromatography alone does not provide information on the identity of a totally unknown sample. [Pg.174]

HPLC log P techniques, first described by Mirrlees et al. [374] and Unger et al., [375], are probably the most frequently used methods for determining log/1. The directly measured retention parameters are hydrophobicity indices, and need to be converted to a log P scale through the use of standards. The newest variants, breadths of scope, and limitations have been described in the literature [292-298]. A commercial automated HPLC system based on an extension of the approach described by Slater et al. [150] has just introduced by Sirius (www. sirius-analytical. com). [Pg.54]

FFF Technique Field Velocity Parameter Force Retention Parameter (X<0.01) Retention... [Pg.336]

HPLC units have been interfaced with a wide range of detection techniques (e.g. spectrophotometry, fluorimetry, refractive index measurement, voltammetry and conductance) but most of them only provide elution rate information. As with other forms of chromatography, for component identification, the retention parameters have to be compared with the behaviour of known chemical species. For organo-metallic species element-specific detectors (such as spectrometers which measure atomic absorption, atomic emission and atomic fluorescence) have proved quite useful. The state-of-the-art HPLC detection system is an inductively coupled plasma/MS unit. HPLC applications (in speciation studies) include determination of metal alkyls and aryls in oils, separation of soluble species of higher molecular weight, and separation of As111, Asv, mono-, di- and trimethyl arsonic acids. There are also procedures for separating mixtures of oxyanions of N, S or P. [Pg.18]

QSAR, QSPR and similar techniques are used to relate one block of properties to another. In this dataset, six chromatographic retention parameters of 13 compounds are used to predict a biological property (Al). [Pg.323]

The dimensionless retention parameter X of all FFF techniques, if operated on an absolute basis, is a function of the molecular characteristics of the compounds separated. These include the size of macromolecules and particles, molar mass, diffusion coefficient, thermal diffusion coefficient, electrophoretic mobility, electrical charge, and density (see Table 1, Sect. 1.4.1.) reflecting the wide variablity of the applicable forces [77]. For detailed theoretical descriptions see Sects. 1.4.1. and 2. For the majority of operation modes, X is influenced by the size of the retained macromolecules or particles, and FFF can be used to determine absolute particle sizes and their distributions. For an overview, the accessible quantities for the three main FFF techniques are given (for the analytical expressions see Table l,Sect. 1.4.1) ... [Pg.81]

To undertake QSRR studies one needs two kinds of input data. One is a set of quantitatively comparable retention data (dependent variable) for a sufficiently large (for statistical reasons) set of analytes. The other is a set of quantities (independent variables) assumed to account for structural differences among the chromatographed analytes. Through the use of chemometric computational techniques, retention parameters are characterized in terms of various descriptors of analytes (or their combinations) or in terms of systematic knowledge extracted (learned) from these descriptors. [Pg.514]

The most commonly used retention parameter in gas chromatography is the Kovats index. When the adjusted retention times are used to calculate Kovats indices, retention parameters are obtained which depend only on the column temperature and the stationaiy phase used. Kovats indices are highly reproducible, and with a well designed experimental technique and an accurate timing mechanism, an inter-laboratory reproducibility of one unit for larger values of Kovats indices and two units for indices below 400 is possible [14]. Instead of Kovats indices, sometimes in QSRR studies the logarithms of retention volumes of solutes are used. [Pg.515]

Selection of the experimental method which best suits the analytical problem considered. At this stage, a chromatographic technique is chosen that ensures that the best possible range of retention parameters is obtained for each individual component of the separated mixture. Establishing the experimental conditions that enable quantification of the influence of the optimized parameters of a chromatographic system on solute retention. [Pg.1081]

GC-MS is the most widely used hyphenated technique and there have been many comprehensive reviews. This description will only be a brief overview and touch on specific issues relevant to the coupling of the GC to the MS. The interfacing of the GC outlet to the MS inlet usually requires some type of selective carrier gas removal. Although direct connection of the GC to the MS is feasible (if large enough vacuum pumps are used), this is rarely done. This is because the vacuum at the outlet of the column can affect the separation efficiency, making most calculations of column retention parameter or efficiency calculations impossible, and the MS... [Pg.995]

In order to ensure the contimiity and clarity of the presentation some frequently-used concepts of chromatography ivith a mobile gas phase are briefly considered the mechanism of separation the retention parameters and the theories of gas chromatography. The employment of this technique as an important method of studying solutions through the most representor-live statistical models is also discussed it has hec7i of use in testing the non-ideal behaviour of some systems. [Pg.207]

Inclusion of thermography into a predictive maintenance program will enable you to monitor the thermal efficiency of critical process systems that rely on heat transfer or retention electrical equipment and other parameters that will improve both the reliability and efficiency of plant systems. Infrared techniques can be used to detect problems in a variety of plant systems and equipment, including electrical switchgear, gearboxes, electrical substations, transmissions, circuit breaker panels, motors, building envelopes, bearings, steam lines, and process systems that rely on heat retention or transfer. [Pg.800]

The co plAxlty of the retention proceas In RPC haa encouraged activity in non-chroaatographlc techniques to evaluate parameters appropriate for predicting retention as a function of mobile phase composition. Preliminary studies have indicated that solvatoChroaic methods can provide some useful insight into the retention process. The scale of solvent strength, based on... [Pg.204]

A chroaatogreuB provides information regarding the complexity (numlser of components), quantity (peak height or area) and identity (retention par uleter) of the components in a mixture. Of these parameters the certainty of identification based solely on retention is considered very suspect, even for simple mixtures. When the identity can be firmly established the quantitative information from the chromatogram is very good. The reverse situation applies to spectroscopic techniques which provide a rich source of qualitative information from which substance Identity may be inferred with a reasonable degree of certainty. Spectroscopic Instruments have, however, two practical limitations it is often difficult to extract quantitative... [Pg.480]


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See also in sourсe #XX -- [ Pg.99 ]




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