Graphical techniques for kinetic data analyses of alkaline phosphatase

Frazer, Jack W.; Brand, Hal R.

doi:10.1021/ac50061a044

Cited by 10 publications

(2 citation statements)

References 15 publications

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“…An excellent discussion of the basics of computer experimentation techniques for the study of complex chemical systems can be found in the article by Frazer (300) and a specific application of graphical techniques for kinetic data analyses is given by Frazer and Brand (301). A microprocessor-based computer system for data acquisition and manipulations specifically designed for rapid kinetic studies has been reported by Holtzman (302), and Fasano and Nogar (303) have designed a useful multipurpose computer based data acquisition system.…”

Section: Instrumentation and Computersmentioning

confidence: 99%

Kinetic determinations and some kinetic aspects of analytical chemistry

Mottola¹,

Mark²

1982

Anal. Chem.

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KINETIC ASPECTS OF ANALYTICAL CHEMISTRYHoraclo A. Mottola was born in Buenos Aires, Argentina, and received undergraduate and graduate education at the University of Buenos Aires. He earned Licentiate and Doctoral degrees from the University of Buenos Aires and did predoctoral work with Professor Ernest B. Sandell at the University of Minnesota (Minneapolis). He spent two years at the University of Arizona (Tucson) as a postdoctoral research fellow In Professor Henry Freiser's research group. After teaching for two years at the University ot the Pacific (Stockton, CA), he joined OSU in the fall of 1967. Dr. Mottola's research interests include studies on the role of kinetics in analytical chemistry (including reaction reate determinations), analytical separations (solvent extraction and liquid-liquid chromatography), continuousflow analysis, and analytical application of photochromism.

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Section: Instrumentation and Computersmentioning

confidence: 99%

Kinetic determinations and some kinetic aspects of analytical chemistry

Mottola¹,

Mark²

1982

Anal. Chem.

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“…For the AP catalyzed reaction discussed above, traditional techniques indicated that the hyperbolic System C2 model fit the data better than the other nine models under consideration; however, the small amount of noise on the data resulted in an unusable secondary replot needed to estimate the beta term (9,11). While it is possible to write analysis algorithms that will select mechanisms from simulated noise-free data (12), the best analytical and experimental techniques do not produce perfect noisefree data, making the analysis of experimental data often very difficult.…”

Section: Experimentationmentioning

confidence: 99%