2018
DOI: 10.1016/j.jfca.2018.01.017
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Multimeric recombinant antibody (scFv) for ELISA detection of allergenic walnut. An alternative to animal antibodies

Abstract: Walnuts are classified as an important allergenic ingredient that can cause severe reactions in sensitized individuals. To prevent unintended exposure to products containing walnut, food manufacturers have the responsibility to declare its presence in packaged foods.

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Cited by 11 publications
(6 citation statements)
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“…The capability to identify and detect biological molecules such as disease biomarkers with high sensitivity and specificity is of great importance to the pathology, diagnosis, and treatment of diseases. As a conventional and mature detection technology with the advantages of low cost, easy operation, and specific recognition, the ELISA provides an accurate, rapid, and efficient method to quantitatively measure target analytes in biological samples and has been widely used in clinical diagnosis and laboratories. Based on the antigen–antibody recognition and enzymatic reaction, conventional methods for quantitative analysis in ELISA catalyze the decomposition of a substrate such as 3,3′,5,5′-tetramethylbenzidine (TMB) into colored products by the enzyme-linked antibodies such as horseradish peroxidase (HRP) for visual quantification or spectrophotometric analysis, which can only detect targets at picogram or higher levels. This limited sensitivity hinders the widespread application of ELISA , in the detection of those disease-related biomarkers at lower concentrations. Currently, a number of diagnostic technologies such as lateral flow assays (LFAs), gold immunoassays (CGAs), electrochemistry, surface-enhanced Raman scattering, and so on have been intensively explored to provide complementary approaches to conventional ELISA.…”
mentioning
confidence: 99%
“…The capability to identify and detect biological molecules such as disease biomarkers with high sensitivity and specificity is of great importance to the pathology, diagnosis, and treatment of diseases. As a conventional and mature detection technology with the advantages of low cost, easy operation, and specific recognition, the ELISA provides an accurate, rapid, and efficient method to quantitatively measure target analytes in biological samples and has been widely used in clinical diagnosis and laboratories. Based on the antigen–antibody recognition and enzymatic reaction, conventional methods for quantitative analysis in ELISA catalyze the decomposition of a substrate such as 3,3′,5,5′-tetramethylbenzidine (TMB) into colored products by the enzyme-linked antibodies such as horseradish peroxidase (HRP) for visual quantification or spectrophotometric analysis, which can only detect targets at picogram or higher levels. This limited sensitivity hinders the widespread application of ELISA , in the detection of those disease-related biomarkers at lower concentrations. Currently, a number of diagnostic technologies such as lateral flow assays (LFAs), gold immunoassays (CGAs), electrochemistry, surface-enhanced Raman scattering, and so on have been intensively explored to provide complementary approaches to conventional ELISA.…”
mentioning
confidence: 99%
“…The specificity and sensitivity of the multimeric scFv ELISA for the detection of walnut were previously assessed [ 15 ]. The LOD was 1616 mg kg −1 , and some cross-reactivity was found with pecan (2.25%) and almond (0.35%), but not with the remaining tree nuts analyzed.…”
Section: Resultsmentioning
confidence: 99%
“…The JrBSF scFv was isolated from a phagemid synthetic library of human scFv fragments (Tomlinson I, Source Bioscience, Nottingham, UK) by phage display against a walnut protein extract [ 15 ]. However, the walnut protein fraction recognized by the phage-antibody was not identified.…”
Section: Resultsmentioning
confidence: 99%
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“…The biopanning processes were performed as described in Madrid et al [ 19 ], but using roasted pistachio, cashew, and peanut whole or defatted extracts, as shown in Table 2 .…”
Section: Methodsmentioning
confidence: 99%