Evaluation of a predictive curve-fitting method for processing data from flow systems: Part 1. Flow system with a mixing chamber

✍ Scribed by James M. Jordan; Michael D. Love; Harry L. Pardue

• Publisher: Elsevier Science
• Year: 1993
• Tongue: English
• Weight: 834 KB
• Volume: 272
• Category: Article
• ISSN: 0003-2670
• DOI: 10.1016/0003-2670(93)80383-v

✦ Synopsis

Ahstmet

This paper describes the evaluation of a curve-fitting predlctnre approach to processing data from a flow system Hrlth a well-stirred mwng chamber The method utdlzes 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 optunal condltlons include a lO-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 m situations mvolvmg nomdeal detector response and situations mvolvmg slow reaction kmetlcs Limltatlons 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

Keyword Flow system, Curve fitting, Data processmg

Quantltatlve methods based on transient responses tend to be less rugged than then eqmhbrrum counterparts because transient responses usually depend more on expenmental variables than eqmhbnum conditions Accordmgly, it has been suggested that kmetlc-based methods should not be used if eqmhbrmm-based methods are available [l] Unfortunately, there are many sltuatlons m which other cnterla strongly favor the use of transient responses In such situations, the approach usually used to compensate for the larger