Open AccessTurbidity of Saccharomyces cerevisiae: a proposed cell quantification method
Author(s) -
Ahmad Syauqi,
Hari Santoso,
Siti Nurul Hasana
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/456/1/012031
Subject(s) - turbidity , turbidimetry , standard curve , mathematics , linear regression , heteroscedasticity , standard error , enumeration , standard deviation , biological system , hemocytometer , statistics , chemistry , chromatography , biology , ecology , combinatorics , biochemistry
The relation between cell and turbidity (cloudiness) in suspended form is studied intensively to facilitate the estimation of the cell number. A standard curve in turbidimetry has utility to compare the turbidity reading value for the determination of Saccharomyces cerevisiae cell number and using a model. A standard curve is a prospect in this issue for the cell that has an inherent inaccuracy in the method as well as spectrophotometry. This research is conducted to obtain a model for the standard curve using analysis and diagnosis of the linear regression which was measured the relative standard error (SE) value of the dependent variable by simulation of turbidity value and verification of the applied model. We obtained the smallest relative SE from one of the five datasets that resulted in less than 10% of the relative SE on the estimated cell number. Plotting all of the bivariate data resulted in a larger error on the scattered light intensity at the higher cell number value, and this characteristic was named heteroscedasticity. Application of turbidity method for cell enumeration per mL in the media was significant equal and lower coefficient variation than the result of verification by a viable method.