Analytical validation of an in-house method for adenosine deaminase determination
| Autor: | Flávia Martinello, Laís Fernanda Dos Santos, Camila Fontana Roman, Lisiê Silva Dalsasso Joaquim, Natalli Granzotto |
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| Rok vydání: | 2018 |
| Předmět: |
0301 basic medicine
Microbiology (medical) Calibration curve Adenosine Deaminase Clinical Biochemistry Clinical Chemistry Tests 03 medical and health sciences 0302 clinical medicine Adenosine deaminase Limit of Detection Immunology and Allergy Humans Sensitivity (control systems) Research Articles Mathematics Detection limit Reproducibility Chromatography biology Biochemistry (medical) Public Health Environmental and Occupational Health Linearity Reproducibility of Results Hematology Repeatability Working range Body Fluids Medical Laboratory Technology 030104 developmental biology 030220 oncology & carcinogenesis biology.protein Linear Models Colorimetry |
| Zdroj: | Journal of clinical laboratory analysis. 33(3) |
| ISSN: | 1098-2825 |
| Popis: | BACKGROUND: The adenosine deaminase (ADA) enzyme is a marker of inflammatory processes whose activity can be measured through a colorimetric method developed as an in‐house assay. This validation can reduce costs and expand the alternatives for laboratory diagnosis. METHODS: The ADA analysis was achieved through a modified form of Giusti and Galanti's (1984) method. The following parameters were characterized: calibration curve, linearity, analytical sensitivity, limit of detection, limit of quantification, method working range, precision (within‐assay and between‐assay), bias, total analytical error, and sample stability. The results were statistically evaluated and compared with quality specifications based on biological variations and the performance of commercial tests. RESULTS: The analytical sensitivity and limit of detection (0.013 and 3.0 U/L, respectively) were lower than those of commercial tests. The method's working range was 3.2‐100.0 U/L. According to the quality specification, the method showed optimum performance with a bias |
| Databáze: | OpenAIRE |
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