2017
DOI: 10.1016/j.mimet.2017.08.018
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Development and standardization of an in-house indirect ELISA for detection of duck antibody to fowl cholera

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Cited by 15 publications
(13 citation statements)
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“…Bayesian latent class analysis is a statistical procedure for estimating the sensitivity and specificity of a diagnostic test in the absence of a gold standard assay. A Bayesian model has been used to estimate the sensitivity and specificity of various diagnostic techniques [27][28][29][30][31]. In this study, a Bayesian model was performed to estimate the sensitivity and specificity of an in-house indirect ELISA with two HRP-conjugated antibodies, and these values were compared to those of the HI test.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Bayesian latent class analysis is a statistical procedure for estimating the sensitivity and specificity of a diagnostic test in the absence of a gold standard assay. A Bayesian model has been used to estimate the sensitivity and specificity of various diagnostic techniques [27][28][29][30][31]. In this study, a Bayesian model was performed to estimate the sensitivity and specificity of an in-house indirect ELISA with two HRP-conjugated antibodies, and these values were compared to those of the HI test.…”
Section: Discussionmentioning
confidence: 99%
“…Therefore, the accuracy of newly developed diagnostic tests should be estimated appropriately in the absence of a gold standard. Recently, the Bayesian approach has been successfully applied to estimate the degrees of sensitivity and specificity in the absence of a gold standard [27,28,30,31]. The advantage of having access to Bayesian statistical inferences is the ability to simply model all of the uncertainties of the parameters with regard to probability [27].…”
Section: Discussionmentioning
confidence: 99%
“…Bayesian latent class analysis is a statistical procedure for estimating the sensitivity and specificity of a diagnostic test in the absence of a gold standard assay. A Bayesian model has been used to estimate the sensitivity and specificity of various diagnostic techniques [27][28][29][30][31]. In this study, a Bayesian model was performed to estimate the sensitivity and specificity of an in-house indirect ELISA with two HRPconjugated antibodies, and these values were compared to the HI test.…”
Section: Discussionmentioning
confidence: 99%
“…To improve the sensitivity of the ic ELISA, we optimized different parameters, including the antibody-working concentration, coating concentration, coating time, blocking solution, diluted concentration of GAMIgG-HRP, and time of TMB colorization. Concentrations of the working antibody and coating antigen were optimized by checkerboard titration using DES-MCPE-OVA as the coating antigen 25 . Briefly, the DES-MCPE-OVA was coated on the ELISA plate at concentrations of 0.1, 0.2, 0.5, 1.0, 2.0, and 4.0 ÎŒg/ mL and the mAbs towards DES were diluted with PBS at dilutions of 1:4.0 × 10 3 , 1:8.0 × 10 3 , 1:1.6 × 10 4 , 1:3.2 × 10 4 , 1:6.4 × 10 4 , 1:1.28 × 10 5 , 1:1.28 × 10 5 , and 1:5.12 × 10 5 .…”
Section: Optimization Of the Ic Elisamentioning
confidence: 99%