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Chinese Journal of Immunology ; (12): 377-381, 2016.
Article in Chinese | WPRIM | ID: wpr-490642

ABSTRACT

Objective:To establish a method to detect food allergen based on Latex-enhanced immune turbidimetry ( PETIA) and apply to clinic.Methods: The PETIA method was used for evaluating the detection system including standard curve , detection-limit,stability, intra-assay and inter-assay precision and cross-reactivity,clinical normal serum specimens and clinical allergic diseases serum specimens were measured to evaluated the perspective of the clinical application .Results: The standard curve :Y=837.1 x2-125.2x+10.036, linear range: 0.0-400 U/ml, the correlation coefficient of the standard curve was 0.996, the intrabatch and interbatch precision was<10%.The normal reference range was≤33.5 U/ml,the AUC of ROC curve was 0.957,the sensitivity was 89.61%,The specificity was 65.22%, the accuracy was 84.00%, and the positive predicted value was 89.61%, the negative predicted value was 65.22%.the test results have strong correlation with ELISA ( r=0.890 2 ) .Conclusion: The PETIA method for detecting food allergen achieved corresponding clinical application standards and may be used for the diagnosis of food allergies .

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