Information theory of optimization in chromatography: Optimum peak separation and dependency on peak area

Matsuda, Rieko; Hayashi, Yuzuru; Suzuki, Tomoya; Saitō, Yukio

doi:10.1007/bf02276246

Cited by 6 publications

(1 citation statement)

References 12 publications

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“…Up to the present, there have been several attempts in the literature to apply the information theory in the field of HPLC techniques. According to Matsuda et al , the information theory can be used to select the most efficient HPLC conditions for dissolution testing of multiingredient pharmaceuticals in the framework of a total chromatographic optimization procedure. Information content, sample complexity, physicochemical detectors, and chromatographic techniques are investigated in the analysis of plant extracts …”

Section: Introductionmentioning

confidence: 99%

Data Evaluation in High-Performance Liquid Chromatography-Diode-Array Detection-Fluorescence Detection by Information Theory

David

Medvedovici

2000

J. Chem. Inf. Comput. Sci.

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The concepts of information theory were applied to the high-performance liquid chromatography (HPLC) technique, with diode-array (DAD) and/or fluorescence (FLD) detections. The information amount for a complete analysis can be computed as a function of analytical parameters, such as the number of analytes, level of concentration, and standard deviation of determinations. By means of the proposed method, the information content of a qualitative and quantitative analysis accomplished by HPLC-DAD-FLD was estimated, and sensitivity was optimized taking into account a maximum information content, while the detection limit was estimated considering that at this level of concentration the information content approaches zero.

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Section: Introductionmentioning

confidence: 99%

Data Evaluation in High-Performance Liquid Chromatography-Diode-Array Detection-Fluorescence Detection by Information Theory

David

Medvedovici

2000

J. Chem. Inf. Comput. Sci.

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Expertensysteme zur Unterstützung der Analytischen Chemie: Störungserkennung und Plausibilitätsprüfung in der Ionenchromatographie

Ulrich¹,

Wünsch²

1997

J. Prakt. Chem.

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Expert Systems to Assist Analytical Chemistry: Troubleshooting and Plausibility Testing in Ion Chromatography An expert system for automated troubleshooting and plausibility testing in ion chromatography is introduced. The program is able to detect some major problems in the chromatograms. First it evaluates the incoming data to get the retention time, baseline drift and noise, the peakshape and other criteria. Based on this information conclusions are drawn whether an analysis is formally correct or not. Even more problems can be solved depending on the inputs of the users. The expert system is able to deal with many standard problems (523 are implemented). To evaluate the plausibility of the data the system uses known information about the sample (analytes and concentrations) to calculate ranges of credible results. The troubleshooting routines lead to at least 90% correct conclusions. The plausibility check needs many informations for the inference process, it succeeds best with routine problems.

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An information theory-based evaluation of stationary phases developed for optical resolution of amino acids

et al. 1993

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Information theory of optimization in chromatography: Optimum peak separation and dependency on peak area

Cited by 6 publications

References 12 publications

Data Evaluation in High-Performance Liquid Chromatography-Diode-Array Detection-Fluorescence Detection by Information Theory

Data Evaluation in High-Performance Liquid Chromatography-Diode-Array Detection-Fluorescence Detection by Information Theory

Expertensysteme zur Unterstützung der Analytischen Chemie: Störungserkennung und Plausibilitätsprüfung in der Ionenchromatographie

An information theory-based evaluation of stationary phases developed for optical resolution of amino acids

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