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Sa'adi, Ashon
Universitas Nahdlatul Ulama Sidoarjo
Chemical Engineering, Chemistry & Bioengineering Engineering Environmental Science Industrial & Manufacturing Engineering

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VERIFIKASI LINIERITAS KURVA BAKU TESTOSTERON MENGGUNAKAN METODE ELISA (ENZYME-LINKED IMMUNOSORBENT ASSAY) Fernanda, MA Hanny Ferry; Sa'adi, Ashon; Sudjarwo, Sudjarwo
Journal of Research and Technology Vol 5, No 1 (2019)
Publisher : Universitas Nahdlatul Ulama Sidoarjo

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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.
MEMBANDINGAKAN REGRESI 4 PL DAN LINIER FIT UNTUK VERIFIKASI HORMON 17β-ESTRADIOL MENGGUNAKAN METODE ELISA Sandiya, Arroofita Ani; Sa'adi, Ashon; Sudjarwo, Sudjarwo
Journal of Research and Technology Vol 5, No 1 (2019)
Publisher : Universitas Nahdlatul Ulama Sidoarjo

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Abstract

One solution for infertile couples to get offspring is IVF, where one of the stages is a HOT procedure, at which stage there is an increase in steroid hormone levels (estrogen) as a result of the development of ovarian follicles. The 17β-estradiol hormone was chosen to be verified because it can be used as a marker or marker to show the maturity of the follicle. Linear and logistic regression are the two most commonly used in curve making models for sandwich immunoassays. Although linear regression may be useful when analyzing samples included in the linear part of the analyte response curve, logistic regression is the preferred type of regression for multiplex immunoassays. Verification of the 17β estradiol hormone regression results using linear fit obtained the result of r = 0.952 while the regression value used 4 PL to get the result r = 0.998. But the results shown in the verification of the 17β estradiol hormone are good, this is evidenced by the use of SPSS software where F = 78.712 is obtained, where the value is greater than the value of F table (6.61) which means the value of independent variable (concentration) on value of the dependent variable (optical density value). The linearity values obtained through verification using the 4PL model indicate that the method is better linearity reported based on Linear regression.
Co-Authors Fernanda, MA Hanny Ferry Sandiya, Arroofita Ani Sudjarwo Sudjarwo