10.1371/journal.pone.0187901.g004
Hector Sanz
Hector
Sanz
John J. Aponte
John
J. Aponte
Jaroslaw Harezlak
Jaroslaw
Harezlak
Yan Dong
Yan
Dong
Aintzane Ayestaran
Aintzane
Ayestaran
Augusto Nhabomba
Augusto
Nhabomba
Maxmillian Mpina
Maxmillian
Mpina
Obiang Régis Maurin
Obiang Régis
Maurin
Núria Díez-Padrisa
Núria
Díez-Padrisa
Ruth Aguilar
Ruth
Aguilar
Gemma Moncunill
Gemma
Moncunill
Agnandij Selidji Todagbe
Agnandij Selidji
Todagbe
Claudia Daubenberger
Claudia
Daubenberger
Carlota Dobaño
Carlota
Dobaño
Clarissa Valim
Clarissa
Valim
Estimation of the limits of quantification (LOQ), based on the “Derivative” (A), the “Interval” (B), and the “Coefficient of Variation” methods (C).
Public Library of Science
2017
quality control
Suboptimal calibration
fitness
RTS
method
malaria
vaccine
multiplex bead-based immunoassays data analysis Multiplex bead-based immunoassays
background noise
multiplex bead-based immunoassay
estimation
function
SC
Phase 3 randomized
sample
quantification
analyte
concentration
drLumi
conduct quality control
2017-11-14 18:41:23
Figure
https://plos.figshare.com/articles/figure/Estimation_of_the_limits_of_quantification_LOQ_based_on_the_Derivative_A_the_Interval_B_and_the_Coefficient_of_Variation_methods_C_/5600713
<p>In A solid and dashed black lines show the standard curve and the second order derivative, respectively. Dashed blue lines show the limits of quantification. In B, solid and dashed red lines show the asymptote coefficients and the 95% confidence interval, respectively. Dashed blue lines show the LOQ, and dashed black lines show the 95% prediction interval of the standard curve. In C, solid red and black lines show the coefficient of variation (CV) estimated for each fitted concentration and the standard curve, respectively. Dashed blue lines show the LOQ, and the dashed black line shows the user specified CV cutoff.</p>