Evaluation of logistic and polynomial models for fitting sandwich-ELISA calibration curves

TLR3 in Chronic Human Itch: A Keratinocyte-Associated Mechanism of Peripheral Itch Sensitization

“…Following 4 more washes the signal was developed using MB One-Step Substrate Reagent which was stopped after 30 minutes using the supplied stop solution and subsequently measured at 450 nm using a SpectraMax plate reader (Molecular Devices). The concentration of the analytes in supernatant was then calculated using a cubic logistic model as recommended by (Herman et al 2008).…”

Detection of Proteins in Serum by Micromagnetic Aptamer PCR (MAP) Technology

“…[27] To determine the limit of detection, we first obtained the standard deviation of the signals from the negative control samples. Next, we fitted the calibration data in Figure 3 B with a third-order polynomial [28] and obtained a high correlation coefficient of regression within our operating range (R 2 > 0.99). Finally, the standard deviation value was multiplied by 3 [29] and subtracted from the mean negative control reaction signal to arrive at limits of detection (LODs) of 72 and 62 fm in buffer and 20 % serum, respectively.…”

Aqueous two-phase systems enable multiplexing of homogeneous immunoassays

“…3a). The data were fit using a 4-parameter logistic nonlinear regression model, as is typical for sandwich immunoassays 16 . We observed inter-assay percent coefficient of variation (%CV) below 20% for all of the tested biomarkers, indicating the high precision of our multiplex assay (Fig.…”