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Evaluation of a Predictive Curve-Fitting Method for Processing Data from Flow Systems. Part 1. Flow System with a Mixing Chamber

James M. Jordan, Michael D. Love and Harry L. Pardue
Department of Chemistry, 1393 BRWN Building, Purdue University
West Lafayette, IN 47907-1393.

Analytica Chimica Acta, 1993, 272, 125-134.

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Abstract

This paper describes the evaluation of a curve-fitting predictive approach to processing data from a flow system with a well-stirred mixing chamber. The method utilizes data from the leading edges of response peaks to predict the response that would be measured if sufficient sample were used to give a steady-state response. Advantages of the method under optimal conditions include a 10-fold reduction of dependency on sample volume relative to a peak-height method, a 20- to 65-fold reduction of dependency on flow-rate relative to a peak-area method, and extended linear ranges in situations involving nonideal detector response and situations involving slow reaction kinetics. Limitations include a requirement for larger sample volumes and degraded error coefficients for flow-rate relative to a peak-height method and chamber volume relative to a peak-area method. The new approach is judged to offer complementary features relative to peak-height and peak-area methods.