Issue |
BIO Web Conf.
Volume 111, 2024
2024 6th International Conference on Biotechnology and Biomedicine (ICBB 2024)
|
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Article Number | 02013 | |
Number of page(s) | 6 | |
Section | Biomedical Advances and Personalized Medicine | |
DOI | https://doi.org/10.1051/bioconf/202411102013 | |
Published online | 31 May 2024 |
Optimization of immunoturbidimetric assay system enhanced by β2-microglobulin latex
College of Life Science and Technology, Changchun University of Science and Technology, Editorial Department, Changchun, China
* Corresponding author: zhanghao@cust.edu.cn
a 874143077@qq.com
In this study, three-factor and three-level orthogonal experiment was used to optimize the detection system of clinical renal function marker β2-microglobulin latex enhanced immune turbidity, so as to prepare a detection system with a wider linear range, solve the false negative problem in clinical detection of high-concentration samples, and improve the detection accuracy. Based on latex enhanced immunoturbidimetry, automatic biochemical analyzer was used to establish the linear relationship between the β2-microglobulin standard with different concentrations and the absorbance change value of 546 nm, and optimize the antibody source, latex microsphere particle size, activator concentration, sealer concentration and buffer system in the β2-microglobulin detection system. The linear range and accuracy of the optimized detection system were evaluated. After optimization, the optimal detection system was obtained, and its detection linear range was 0.2-30 mg/L, which reached the upper limit of the reference range of β2-microglobulin in normal population by 10 times, and the accuracy was in line with clinical standards, which solved the false negative problem of high-concentration samples in clinical testing, eliminated the repeated dilution process of high-concentration samples, simplified the detection steps, and improved the detection accuracy.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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