Academic Thesis

Basic information

Name Hata Akihisa
Belonging department
Occupation name
researchmap researcher code B000334435
researchmap agency Okayama University of Science

Title

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

Bibliography Type

Joint Author

Author

Tomoko Kubota, Norio Tateishi, Hideki Toita, Nobutoshi Kanaki, Akihisa Hata, Noboru Fujitani

Summary

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.

Magazine(name)

Analytical Sciences

Publisher

Volume

Number Of Pages

StartingPage

EndingPage

Date of Issue

2022/08

Referee

Exist

Invited

Not exist

Language

Thesis Type

ISSN

DOI

10.1007/s44211-022-00173-9

NAID

PMID

URL

J-GLOBAL ID

arXiv ID

ORCID Put Code

DBLP ID