Predicting gas-chromatographic resolution for pairs of normal alkane homologs

Swingle, R. S.; Rogers, L. B.

doi:10.1021/ac60316a018

Cited by 14 publications

(4 citation statements)

References 26 publications

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“…The finding that computerized data reduction yields superior precision to what is obtained via alternatives involving manual and/or mechanical processing is fairly typical of reports in this field (25)(26)(27). The one example referred to under item (c), where a significant deviation in the mean peak area is found, involves manual triangulation of the chlorpheniramine free base-lidocaine pair.…”

Section: Automatic Nitrous Oxidementioning

confidence: 68%

Time-sharing minicomputer data acquisition-processing system

Overton¹,

Alber²,

Smith³

1975

Anal. Chem.

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Section: Automatic Nitrous Oxidementioning

confidence: 68%

Time-sharing minicomputer data acquisition-processing system

Overton¹,

Alber²,

Smith³

1975

Anal. Chem.

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“…4.1 Applications in Physical and Engineering Sciences ln the late 70's scientists dealing in the important area of gas chromotography began using RSM methods. Scott (1970), Swingle and Rogers (1972), Kambara et al (1968), andTurina et al (1974) use variations of RSM to determine optimum conditions for gas ch€romotography. Morgan and Jacques (1978) study relationships between flow rate, temperature, stationary phase loading, and the responses, level of separation and analysis time.…”

Section: Subject Mattier Applicationsmentioning

confidence: 99%

Response Surface Methodology

Myers¹,

Montgomery²

1996

IIE Transactions

1,108

525

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Approved for Public Release: Distribution Unlimited 17. OiSTAiSuTiON STATEMENT (of the ob.trocl -ntoted IA Block 20, It different 1-m. Roporl) If. SUPPLEMENTARY NOTES 19. KEY *ORDS (Comntin~ue onrvrse 00.... It necateottv aid Identity by block number) Response Surface, Review, Design, Analysis. 20 ABSTRACT (Contln..e an roers*9 old* It flec*esorYan id hentity by block number)This paper provides a thorough review of response surface methodology since 1966. The review covers topics pertaining to the design and analysis of response surfaces. Multirespone techniques associated with optimization and lack of fit testing are also covered.

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“…Although the mathematical models play such an important role in chromatography, most real chromatographic peaks cannot be described very well by existing peak-shaped functions. These functions include, for example, the bi-Gaussian model, Edgeworth−Cramer series, , Chesler−Cram, exponentially modified Gaussian (EMG), Giddings, Haarhoff−Van der Linde, Poisson functions, etc. − This situation is due to the fact that the shapes of real chromatographic peaks change considerably, and each available peak-shaped function can fit a limited number of real peaks.…”

mentioning

confidence: 99%

Development and Evaluation of Flexible Empirical Peak Functions for Processing Chromatographic Peaks

1997

Anal. Chem.

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This paper describes the results of developing and evaluating extremely flexible empirical peak-shaped functions for processing chromatographic peaks. The proposed peak functions were developed based on transformation of Gaussian function into two-step functions that separately describe the leading and trailing edges. The flexibility and capability of these models were achieved by the combination and empirical modifications of the leading and trailing edge functions. The flexibility of the models was evaluated by fitting them to 10 types of peak shapes generated by literature peak functions possessing asymmetry values from 1 to 2.8. Excellent fits were found between the proposed models and generated peak shapes, showing that the new peak functions are extremely flexible. Furthermore, the capability of the models to smooth noisy peaks was demonstrated by fitting them to noisy, exponentially modified Gaussian peaks with different noise levels (S/N ratio was ranged from 200 to 10). Finally, we conclude that the flexibility of these models can be used to establish "templates" to significantly aid in smoothing noisy peaks and peak deconvolution.

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Predicting gas-chromatographic resolution for pairs of normal alkane homologs

Cited by 14 publications

References 26 publications

Time-sharing minicomputer data acquisition-processing system

Time-sharing minicomputer data acquisition-processing system

Response Surface Methodology

Development and Evaluation of Flexible Empirical Peak Functions for Processing Chromatographic Peaks

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