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>