VERIFIKASI LINIERITAS KURVA BAKU TESTOSTERON MENGGUNAKAN METODE ELISA (ENZYME-LINKED IMMUNOSORBENT ASSAY)

MA Hanny Ferry Fernanda, Ashon Sa'adi, Sudjarwo Sudjarwo

Abstract


ELISA (Enzyme-Linked Linked Immunosorbent Assay) is one of the quantitative analysis methods that is often used to determine the levels of active compounds in biological samples. In this study, we will verify the method of determining testosterone active compounds in blood and urine samples of female patients who have PCOS (Polycystic Ovary Syndrome) using the Human Testosterone ELISA Kit. Before conducting testosterone levels using ELISA, it is necessary to verify the linearity of the standard curve first to determine the effect of testosterone standard levels on the analyte response in the form of optical density. The linearity verification of the standard testosterone curve is calculated using linear regression calculations with the results of the coefficient of determination which is 0.978 with a value of α = 0.05. While for testing with the calculation of 4 parameter logistic (4PL), the results of the coefficient of determination are 0.999. Based on these results it can be concluded that the testosterone standard level has a significant influence on the response of optical density analytes.

Keywords


ELISA (Enzyme-Linked Immunosorbent Assay), Linearity, Testosterone, Verification

Full Text:

PDF

References


Rudolf M. L. 2005. Enzyme Immunoassay (EIA)/Enzyme-Linked Immunosorbent Assay (ELISA). Clinical Chemistry Vol. 51 No. 12 pp. 2415–2418

Hahn S., Kuehnel W., Tan S., Kramer K., Schmidt M., Roesler S., Kimmig R., Mann K., and Janssen O.E. 2007. Diagnostic Value Of Calculated Testosterone Indices In The Assessment Of Polycystic Ovary Syndrome. J. Clin Chem Lab Med Vol 45 No. 2 pp. 202–207

Burger H. G. 2002. Androgen Production In Women. Fertility And Sterility Vol. 77, No. 4 pp. 1-3.

Davis D., Zhang A., Etienne C., Huang I.,and Malit M. 2000.Principles of Curve Fitting for Multiplex Sandwich Immunoassays.Bio-Rad Laboratories, Inc.Alfred Nobel Drive,Hercules, CA 94547 USA

Azadeh M., Gorovits B., Kamerud J.,MacMannis S.,Safavi A.,Sailstad J.,and Sondag P. 2018. Calibration Curves in Quantitative Ligand Binding Assays: Recommendationsand Best Practices for Preparation, Design, and Editing of Calibration Curves. The AAPS Journal 20: 22

https://www.aatbio.com/tools/four-para meter-logistic-4pl-curve-regression-online-calculator.






__________________________________________________________________________________________________________________________

Journal of Research and Technology by Jurnal Teknik Unusida is licensed under a Creative Commons Attribution 4.0 International License. Based on a work at http://journal.unusida.ac.id. E-ISSN: 2477-6165 | P-ISSN: 2460-5972

Sponsored by:     Creative Commons License