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Limit of Quantitiation and Detection

The LOD value is then calculated from linear regression parameters obtained from calibration data, [Pg.329]

The limit of quantitation (LOQ) is defined by the maximum acceptable level of uncertainty in the measured values, and is generally considered to be the analyte concentration that yields a signal equal to the blank signal plus 10 standard deviations, as shown below. These and alternative definitions of LOD and LOQ are presented elsewhere.3 [Pg.329]

Linearizing Sigmoidal Curves (Four-Parameter Log-Logit Model) [Pg.329]

When an assay presents a nonlinear calibration curve (Fig. 16.4), the data can be linearized using standard functions.4 The log-logit function transforms a sigmoid curve with a single point of inflection into a straight line, and is used extensively with data from competitive immunoassays. [Pg.329]

The first step to linearizing a sigmoidal curve is to normalize the response values so that 0 y 1. Normalized values can be calculated using Eq. 16.25. [Pg.330]


See other pages where Limit of Quantitiation and Detection is mentioned: [Pg.329]   


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