Curve prediction in automated analyses in routine laboratories

Application of curve regeneration to the determination of electrolytes by the Flame IV Auto-Analyser using a mini-computer

Curve regeneration is applied to the continuous-flow determination of serum Na +, K +, Cl- and CO2 by the Flame photometer IV (Technicon Corp.). A Hewlett-Packard 2100 A mini-computer is used for data acquisition. The continuous-flow parameters of both rise and fall curves are estimated from computer sampled voltage outputs over the standard profile. An additional interaction correction variable designated as Beta (beta) is described and applied to the regenerated peaks of the cresol red CO2 procedure. The phenolphthlalein CO2 methodology, showing improved flow parameters over those for the cresol red procedure is adapted for the Flame IV system. The basic program design is briefly outlined. Typical computer determined calibration curves (linear regression) and sample peak tracings for both the basic and regenerated techniques are illustrated.

A comparison of serum electrolyte results by the Flame III Auto-Analyser and a Flame IV Auto-Analyser which utilises curve regeneration with a data acquisition system

Results obtained with a Technicon Flame Photometer Model IV Auto-Analyzer, which utilizes curve regeneration in conjunction with a mini-computer for the continuous-flow determination of serum electrolytes, is presented. The system, featuring optimal flow conditions, subjects sample peaks to a mathematical treatment to effectively remove exponential deformation. The evaluation, undertaken after 2 months of operation in the routine clinical laboratory, utilizes the Flame Photometer Model III as the "referee" procedure. The comparison includes a statistical analysis of quality control reference material, simultaneously determined patient data and an evaluation of repeated patient data. The system gave comparable results to those obtained for the Flame Photometer Model III and provides the additional benefits of increased sample throughput, decreased reagent comsumption and sample interaction and gives reductions in the clerical tasks associated with the retrieval of data from Auto-Analyzer systems.