Estimation of ELISA results using a parallel curve analysis

被引：10

作者：

Bursa, Francis ^{[1
]}

Yellowlees, Ann ^{[1
]}

Bishop, Alka ^{[2
]}

Beckett, Angela ^{[2
,3
]}

Hallis, Bassam ^{[4
]}

Matheson, Mary ^{[4
]}

机构：

[1] Quant Biostat, Edinburgh, Midlothian, Scotland

[2] Porton Biopharma Ltd, Porton Down, England

[3] Univ Portsmouth, Ctr Enzyme Innovat, Portsmouth, Hants, England

[4] Publ Hlth England, Porton Down, England

来源：

JOURNAL OF IMMUNOLOGICAL METHODS | 2020年 / 486卷

关键词：

ELISA; ELISA statistics; Concentration estimation; Immunoassay; ERROR;

D O I：

10.1016/j.jim.2020.112836

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

We introduce a new method for the analysis of enzyme-linked immunosorbent assay (ELISA) data. The new method can use data near the asymptotes and does not give undue weight to responses on the flatter parts of the dose-response curve. We apply it to simulated data and to two real-world assays and show it is more accurate and more precise than the traditional interpolation method. In particular, the new method works much better for very low-concentration samples for which the traditional method is often unable to give a result.

引用

页数：9

共 11 条

[1]

[Anonymous], 2018, R LANG ENV STAT COMP

[2] Statistical estimation of antibody concentration using multiple dilutions [J].