A rapid and sensitive 384-microtiter wells format chemiluminescent enzyme immunoassay for clenbuterol

被引:70
作者
Roda, A
Manetta, AC
Piazza, F
Simoni, P
Lelli, R
机构
[1] Univ Bologna, Dept Pharmaceut Sci, I-40126 Bologna, Italy
[2] Univ Bologna, Dept Internal Med & Gastroenterol, I-40126 Bologna, Italy
[3] Ist Zooprofilatt Abruzzo & Molise, Teramo, Italy
关键词
beta(2)-agonist; clenbuterol; enzyme immunoassay; chemiluminescence;
D O I
10.1016/S0039-9140(00)00362-3
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
A fast and sensitive chemiluminescent (CL) enzyme immunoassay for clenbuterol (CLB) analysis in bovine urine has been developed. Clenbuterol (CLB) specific polyclonal antibodies were raised in rabbit using a CLB azo derivative conjugated with ovalbumin. Horseradish peroxidase (HRP) was used as label and conjugated with the same derivative. In the developed competitive method, antibodies were immobilized on 384-wells black polystyrene microtiter plates; the sample volume was 20 mu l and HRP-labeled CLB activity was immediately measured, using different CL substrates, after 10 min incubation time. Emitted light was recorded using a sensitive back-illuminated, cooled CCD camera or a conventional, photomultiplier-based micrtotiter plate reader. The developed method fulfills all the requirements of precision (CV below 10%) and accuracy (mean recovery from 96 to 110%) with a detection limit of 0.08 ppb in urine matrix. The use of 384-wells microtiter plate allows a 5-fold reduction in reagent quantity and the CL detection improves the detectability of the HRP-labeled tracer, thus reducing analysis time. The developed method is therefore suitable for high-throughput screening of CLB in urine samples, with reduced costs as compared with conventional colorimetric enzyme immunoassays, thanks to the possibility to optimize the system in non-equilibrium immunological conditions and with a very fast chemiluminescence detection of the HRP-label activity. (C) 2000 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:311 / 318
页数:8
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