Dispersion coefficient and moment analysis of flow injection analysis peaks

Brooks, Stephen H.; Leff, Daniel V.; Torres, Maria A. Hernández; Dorsey, John G.

doi:10.1021/ac00175a020

Cited by 30 publications

(9 citation statements)

References 56 publications

(38 reference statements)

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“…The calculated results are listed in Table 2. The dispersion coefficients thus obtained are in the same order of magnitude compared with the results in the literature [43,44]. The temporal effect (judged by asymmetry factors) increased with dispersion under higher flow rate, as observed in Table 2.…”

Section: The Temporal Effect Affected By Dispersion Under Different Flow Ratessupporting

confidence: 84%

See 1 more Smart Citation

Examination of the temporal effect in a flow injection analysis system using multi-channel absorbance detection

Lin¹,

Chang²,

Chen³

et al. 2009

Journal of Chromatography A

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Section: The Temporal Effect Affected By Dispersion Under Different Flow Ratessupporting

confidence: 84%

“…Brooks et al [44] took the second moment (variance) of peaks to analyze the characteristic of the FIA response curves. Under higher flow rate, the second moment raised and resulted in higher peak skewness from the Gaussian shape.…”

Section: The Temporal Effect Analyzed Using the Temporal Data Alonementioning

confidence: 99%

Examination of the temporal effect in a flow injection analysis system using multi-channel absorbance detection

Lin¹,

Chang²,

Chen³

et al. 2009

Journal of Chromatography A

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“…The asymmetry factors [13,14] of all peaks (As) calculated from measurements made at 50 % of the total peak height were in the range 1.00 _< A s _< 1.22. The experimental k values were determined at the maxima of the chromatographic peaks.…”

Section: O M P O U N D R E T E N T I O N B E H a V I O R And C O M mentioning

confidence: 99%

“…temperatures with C equal to 3,4,5,6,12,14,16,18,20,22,24,26,28, and 30 mM. A total of 135 experiments was performed.…”

Section: Introductionmentioning

confidence: 99%

Peculiarities of the mechanism of retention of imidazole derivatives when using hydroxypropyl-β-cyclodextrin as mobile phase additive

Peyrin

Guillaume

1999

Chromatographia

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SummaryTwo different methods have been used to investigate the retention mechanism of a series of imidazole derivatives in reversed-phase liquid chromatography (RPLC) over a range of column temperatures and with different concentrations of hydroxypropyl-fl-cyclodextrin (HPfl-CD) in the mobile phase. The first approach was the separate study of each factor affecting the retention mechanism; the second method was the simultaneous variation of all these factors. Changes in Van't Hoff plots as a function of HP-fl-CD concentration were examined. Enthalpy and entropy were determined for two physicochemical processes: (i) solute transfer from the mobile phase to the stationary phase, and (ii) solute complexation by HP-fl-CD. These thermodynamic data showed that the mechanism of retention of the solute was dependent on the concentration of HP-fl-CD in the mobile phase. For a HP-fl-CD concentration, C, greater than to 4 mM, from 28 ~ to a critical temperature, T*, solute retention was entropy-dominated because of inclusion of the solute in the HP-fl-CD cavity. Above T* retention was enthalpy-dominated, because of interaction of the solute with the RP18 stationary phase. At first 7-* increased as C was increased up to a critical value, C**; it then remained relatively constant because of auto-association of the HP-fl-CD molecules in the mobile phase. Enthalpy-entropy compensation revealed that HP-fl-CD-solute complexation had a greater effect on retention than RP18 stationary phasesolute interaction. This confirms that the main parameter determining retention in RPLC is the distribution of the solute in the mobile phase, and that interactions with the stationary phase play a minor role.

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“…In this study the statistical moments were calculated by direct numerical integration between peak start and peak end. This method makes no assumptions about peak shape and can be used for peaks (such as slurry peaks [8]) which cannot be fitted by Gaussian or modified Gaussian functions for which simple manual methods are available for moment calculations [15]. The direct numerical integration is straightforward and easy to implement especially in the case of computer data acquisition.…”

Section: Moment Analysismentioning

confidence: 99%

Dispersion behaviour of solid particles in flow-injection analysis

Hulsman¹,

Bos²,

Linden³

1997

Analytica Chimica Acta

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In order to achieve a reproducible on-line pretreatment of slurry samples in flow-injection analysis the dispersion behaviour of these samples has to be examined. This paper reports the effects of flow rate and some configurations of reaction manifolds. The reaction manifolds were a straight tube and two helically coiled tubes with different aspect ratios and spatial orientation. The slurry samples consisted of spheres of different densities suspended in a Triton X-100/water solution, the particle diameters (up to 75 ~tm) were relatively large compared to the internal diameter of the tubing (0.75 ram). For the straight tube theoretical calculations were found to give a reasonable impression of the experimental flow behaviour of the spheres. Statistical moments were used to characterize the slurry peaks. For tightly coiled tubes it was found that the retention time of a slurry sample depends on the particle density. The spatial orientation of the coils mainly affects the retention of high density particles.

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Dispersion coefficient and moment analysis of flow injection analysis peaks

Cited by 30 publications

References 56 publications

Examination of the temporal effect in a flow injection analysis system using multi-channel absorbance detection

Examination of the temporal effect in a flow injection analysis system using multi-channel absorbance detection

Peculiarities of the mechanism of retention of imidazole derivatives when using hydroxypropyl-β-cyclodextrin as mobile phase additive

Dispersion behaviour of solid particles in flow-injection analysis

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