Development of a canine blood C-reactive protein-measuring device using a flow-type immunosensor.

This study aimed to construct a measurement system with the same performance as a measurement system using an automated analyzer and immunoturbidimetric reagents (comparative method) using a flow-type immunosensor (FIS) based on the fluorescence-linked immunosorbent assay technology. In the FIS constructed in this study, all control samples were within the indicated values. The coefficient of variation of repeatability and intermediate precision were less than 2.4% and less than 4.4%, respectively. The lower limit of quantification in this measurement system was 3.9 mg/L, and linearity was confirmed for quantification values, ranging from 3.9 to 465 mg/L. Canine plasma samples (N = 39) were used to measure C-reactive protein (CRP) levels using the comparative method (x) and FIS (y). The regression equation between the measurements was y = 1.035 × - 0.002, with a correlation coefficient of 0.9809, indicating a significantly high correlation. Although the Brandt-Altman analysis suggested the possibility of a proportional systematic error between the two measurements, 38 of the 39 canine plasma samples measured fell within the acceptable range of error, indicating that the measurements are highly consistent. These results suggest that the analytical accuracy of the FIS constructed in this study and the quantitative value of canine CRP are equivalent to those of measurement systems using automated analyzers and immunoturbidimetric reagents.

Development of the automated cleanup system for the analysis of PCDDs, PCDFs and DL-PCBs.

A new automated cleanup system for the analysis of dioxins (PCDDs, PCDFs and DL-PCBs) has been developed. It was controlled by PLC through the touch-panel. This automated cleanup system can simultaneously treat six samples in 2h, using only about 30 mL of solvent. In this study, the recovery rates of the internal standard added as cleanup spiked were between 70% and 120% in the fly ash sample. The RSDs (relative standard deviations) were below 15%. The shortest analysis time from cleanup to calculation of concentration was approximately 6h. Moreover, this automated cleanup system eliminates personal error in sample preparation and training time for the analyst, and improves the accuracy of the experiment. Additionally, this automated cleanup system allowed rapid analysis and less consumption of organic solvent.