IMPROVED PERFORMANCE OF ELISAs FOR FERTILITY ASSESSMENT USING COMMON REAGENTS AND ASSAY PROTOCOL AS EVIDENCE FROM QUALITY CONTROL STUDIES
Autor: | Meena Desai, M. Ikram Khatkhatay, U. M. Donde |
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Rok vydání: | 2002 |
Předmět: |
Quality Control
endocrine system medicine.medical_specialty Estrone media_common.quotation_subject Clinical Biochemistry Immunology Enzyme-Linked Immunosorbent Assay Glucuronates Pregnanediol Glucuronide Fertility Biology Sensitivity and Specificity Luteinising hormone chemistry.chemical_compound Follicle-stimulating hormone Internal medicine medicine Humans Immunology and Allergy Retrospective Studies media_common Immunoassay Analysis of Variance Reproductive hormones Luteinizing Hormone Medical Laboratory Technology Improved performance Endocrinology chemistry Pregnanediol Reagent Kits Diagnostic Follicle Stimulating Hormone Glucuronide human activities Protein Binding |
Zdroj: | Journal of Immunoassay and Immunochemistry. 23:163-180 |
ISSN: | 1532-4230 1532-1819 |
DOI: | 10.1081/ias-120003659 |
Popis: | At our Institute, a panel of reproductive hormones, viz., estrone glucuronide (E1G), pregnanediol glucuronide (PdG), luteinising hormone (LH), and follicle stimulating hormone (FSH) are estimated by ELISA for the assessment of fertility from a single urine sample collected from a subject. In order to make the estimates less cumbersome, the selection and mode of presentation of immunoreagents of the assay were modified in such a way that, either on reconstitution or single dilution, would result in ready-to-use reagents in the assay. Retrospective analysis on the performance of these ELISAs with uniform protocols (n = 86) was compared with assays having individual assay protocols (n = 116). The performance of the assay, based on the standard curve characteristics and quality control pools, was better and the rate of acceptance of these assays improved from 87.9 to 97.6%. The simplification of assay protocols, thus, had better impact on the quality and reproducibility of immunoassay of the four analytes. |
Databáze: | OpenAIRE |
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