Fluidic and syringe injection study by peak shape analysis

Remelli, Maurizio; Blo, G.; Dondi, Francesco; Vidal-Madjar, Marie Claire.; Guiochon, Georges

doi:10.1021/ac00189a005

Cited by 16 publications

(3 citation statements)

References 28 publications

(42 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Once tested for the general "goodness of fitting" rules previously described in the Theory section, these features show this procedure is able to unambiguously discriminate between overloading and nonoverloading conditions in SFFF. This EC series discriminating ability has also been reported for GC and ion chromatography (48)(49)(50).…”

Section: Resultssupporting

confidence: 69%

“…When, as the quantity injected is increased, these conditions no longer hold true, it is usually indication of the onset of nonlinearity effects. This last point has been proven in different systems such as GC packed and capillary columns and ion chromatography (47)(48)(49)(50)). An appealing perspective of such a peak shape analysis lies in its "intrinsic" ability to monitor nonlinearity effects through peak parameters of a given eluted band.…”

Section: Literature Citedmentioning

confidence: 82%

“…The peak fidelity ratio (eq 27) is actually an easy way to measure those detectable extracolumn band-broadening effects referred to as affecting the peak shape as exponential decay functions do (49).…”

Section: Literature Citedmentioning

confidence: 99%

See 2 more Smart Citations

Peak shape analysis in sedimentation field-flow fractionation

Reschiglian¹,

Blo²,

Dondi³

1991

Anal. Chem.

Self Cite

View full text Add to dashboard Cite

Peak shape effects In sedimentation field-flow fractionation (SFFF) are investigated by Edgeworth-Cramér (EC) leastsquares peak profile fitting, numerical integration, and graphical analysis. The use of an EC series expansion procedure with regard to the description of an SFFF process Is discussed. The onset of nonlinear effects and secondaryorder phenomena such as steric contributions in the normal SFFF elution mode and Injected sample overloading are detected by means of the EC series expansions through fitting patterns and statistical peak shape parameter analysis. It has been found that, under Ideal conditions of monodisperse sample analysis, current SFFF instrumentation produce symmetric peaks with skewness values as low as 0.2, leading to accurate particle parameter estimations. Therefore, peak shape markers are a complementary check for detecting mixed elution processes, overloading effects, or polydisperslty contributions that could affect the accuracy of particle parameter estimations. Peak shape analysis is generally able to allow for the unbiased determination of peak parameters at the onset of a steric contribution In the normal elution mode. Fast, handy rules are given for checking "pure" normal elution modes and the extent of bias on retention parameters.

show abstract

Section: Resultssupporting

confidence: 69%

Section: Literature Citedmentioning

confidence: 82%

See 1 more Smart Citation

Peak shape analysis in sedimentation field-flow fractionation

Reschiglian¹,

Blo²,

Dondi³

1991

Anal. Chem.

Self Cite

View full text Add to dashboard Cite

show abstract

PCB separation by HRGC‐MS. Fourier analysis for characterizing Aroclor chromatograms

Pietrogrande

Pasti

Dondi

et al. 1994

J. High Resol. Chromatogr.

View full text Add to dashboard Cite

SummaryAroclor and Aroclor mixture chromatograms obtained using temperature programmed high resolution capillary GC coupled with mass spectrometric selective detection have been investigated by Fourier analysis developed for the study of multicomponent chromatograms. The experimental autocorrelation function (EACF), i.e. peak shape and position correlation, showed a retention -structure pattern which could be associated with both the type of Aroclor and the ion used for selective ion monitoring (dzvalue). In particular, e m and m m isomerization effects were singled out by EACF analysis. By fitting EACF with previously developed theoretical models, it was possible to characterize a specific Aroclor in terms of the number of PCB congeners present in it. The results obtained agreed closely with the typical Aroclor content. For the Aroclor mixture, the distribution of inter-distance between successive peaks was derived. The two first distribution moments obtained agreed with those derived from retention data reported in the literature. The consequences on the separation performance, i.e. the number of singlets, doublets, etc. in the chromatogram, are discussed.

show abstract