2007
DOI: 10.1016/j.chroma.2006.11.011
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Dispersion-convolution model for simulating peaks in a flow injection system

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Cited by 8 publications
(13 citation statements)
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“…The deviation of the peaks from Gaussian profile could occur under higher flow rates. The dispersion coefficient D* (cm 2 s −1 ) can be estimated by the temporal data, using the equation recently derived by Pai et al [43]:…”
Section: The Temporal Effect Affected By Dispersion Under Different Flow Ratesmentioning
confidence: 99%
“…The deviation of the peaks from Gaussian profile could occur under higher flow rates. The dispersion coefficient D* (cm 2 s −1 ) can be estimated by the temporal data, using the equation recently derived by Pai et al [43]:…”
Section: The Temporal Effect Affected By Dispersion Under Different Flow Ratesmentioning
confidence: 99%
“…More recently by Pai et al adopted a dispersion-convolution model for simulating peak shapes in a single-line FIA system [9]. These models are essentially based on the axially dispersed plugflow model that has demonstrated to offer the best compromise between the mathematical simplicity and precision [10].…”
Section: Introductionmentioning
confidence: 99%
“…Actually, additional contributions to HETP were observed in some cases. Pai et al proposed a dispersion-convolution model for simulating peaks in flow-injection systems and used an empirical correlation of the type D * = Ä 1 + Ä 2 v 0 + Ä 3 v 2 0 for the dispersion coefficient [37]. This would also yield a second-order equation for HETP where, compared with Eqs.…”
Section: Theoretical Sectionmentioning
confidence: 99%
“…The performance of rectangular chromatographic columns has been analyzed first by Golay [16] (see also [21]), and was studied extensively in recent contributions [25][26][27][28][29][30][31][32][33]. In addition to theoretical treatments, numerical modeling of mass transfer has proved to be successful in tracing down the performance of such columns [33][34][35][36][37].…”
Section: Introductionmentioning
confidence: 99%