A novel immunoassay for quantitative drug abuse screening in serum.
Аннотация
An immunoassay was established which enables a reliable quantification of serological drug samples. The assay is based on a competitive ELISA. In total nine drugs (amphetamine, methamphetamine, 3,4-methylenedioxy-methamphetamine (MDMA), tetrahydrocannabinol (THC), phencyclidine (PCP), methadone, morphine, cocaine and benzoylecgonine) were tested. All reagents had to pass through a stringent validation process. Within the established test for three out of the nine drugs no cross-reactivity with any tested compounds, e.g. serum, other antibodies or chemically related molecules was detectable for the tested antibodies. Furthermore, a sensitive and selective detection was possible, even in the presence of up to 9 drugs or of various anti-drug antibodies. After exclusion of cross-reactivities antibodies against three drugs (methadone, MDMA, benzoylecgonine) were validated, which allowed a specific and sensitive quantification. For the competitive measurements CVs in the range of 2-17% could be reached with LLOQs of 10ng/mL and LODs of 150ng/mL for methadone, 250ng/mL for MDMA and 400ng/mL for benzoylecgonine. Anonymized serum samples (n=10) provided by the office of criminal investigation Berlin were analyzed for verification purposes. Evaluation of these data showed a correlation (CV) of ≈0.9 with standard GC-MS methods. A miniaturization on microarray was possible by using the anti-MDMA antibody for the detection of MDMA in serum. The microarray increased the through-put drastically and enabled the simultaneous quantification of various drugs.
Предметные рубрики MeSH
Подготовка и перевод публикации
Обработка статьи · этапы, ошибки и управление
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Тип публикации указан по данным источника. Уровень доказательности автоматически не присваивается.