Pre-validation of choriogenin H transgenic medaka eleutheroembryos as a quantitative estrogenic activity test method
Number of Authors: 202021 (English)In: Analytical Biochemistry, ISSN 0003-2697, E-ISSN 1096-0309, Vol. 629, article id 114311Article in journal (Refereed) Published
Abstract [en]
The choriogenin H – EGFP transgenic medaka (Oryzias melastigma) has been used to test estrogenic substances and quantify estrogenic activity into 17β-estradiol (E2) equivalency (EEQ). The method uses 8 eleutheroembryos in 2 ml solution per well and 3 wells per treatment in 24-well plates at 26 ± 1 °C for 24 ± 2 h, with subsequent measurements of induced GFP signal intensity. EEQ measurements are calculated using a E2 probit regression model with a coefficient of determination (R2) > 0.90. The selectivity was confirmed evaluating 27 known estrogenic and 5 known non-estrogenic compounds. Limit of quantitation (LOQ), recovery rate and bias were calculated to be 1 ng/ml EEQ, 104% and 4% respectively. Robustness analysis revealed exposure temperature is a sensitive parameter that should be kept at 26 ± 1 °C. The repeatability of intra- and inter-laboratories achieved CV < 30% for most tested food and cosmetics samples. The lot-lot stability was confirmed by the stable EEQ qualitative control (QC, 1 ng/mL E2) and calibration curve results. The stability of standard reagents, samples and sample extracts was also investigated. These data demonstrated this method to be an accurate indicator of estrogenic activity for both chemicals and extracts.
Place, publisher, year, edition, pages
Academic Press Inc. , 2021. Vol. 629, article id 114311
Keywords [en]
Bioanalytical method, EEQ test, Estrogen equivalency, Estrogenic activity, Semi-quantitative, Transgenic medaka, Regression analysis, Calibration curves, Estrogenic activities, Estrogenic compounds, Exposure temperature, Limit of quantitations, Qualitative control, Robustness analysis, Sensitive parameter, Testing
National Category
Analytical Chemistry
Identifiers
URN: urn:nbn:se:ri:diva-55660DOI: 10.1016/j.ab.2021.114311Scopus ID: 2-s2.0-85111215777OAI: oai:DiVA.org:ri-55660DiVA, id: diva2:1583753
Note
Funding details: 9610348; Funding details: Innovation and Technology Commission, ITC; Funding text 1: The work described in this paper was partly supported by PsH/009/19 and PsH/008/19 from Innovation and Technology Commission , The Government of the Hong Kong SAR, and the City University of Hong Kong internal grant #9610348 . The authors wish to thank the participating laboratories for their commitment and most valuable contributions.
2021-08-092021-08-092024-02-06Bibliographically approved