Literature DB >> 26723118

Development of a colloidal gold immunochromatographic strip assay for simple and fast detection of human α-lactalbumin in genetically modified cow milk.

Chenyu Tao1, Qingde Zhang2, Na Feng1, Deshi Shi2, Bang Liu3.   

Abstract

The qualitative and quantitative declaration of food ingredients is important to consumers, especially for genetically modified food as it experiences a rapid increase in sales. In this study, we designed an accurate and rapid detection system using colloidal gold immunochromatographic strip assay (GICA) methods to detect genetically modified cow milk. First, we prepared 2 monoclonal antibodies for human α-lactalbumin (α-LA) and measured their antibody titers; the one with the higher titer was used for further experiments. Then, we found the optimal pH value and protein amount of GICA for detection of pure milk samples. The developed strips successfully detected genetically modified cow milk and non-modified cow milk. To determine the sensitivity of GICA, a quantitative ELISA system was used to determine the exact amount of α-LA, and then genetically modified milk was diluted at different rates to test the sensitivity of GICA; the sensitivity was 10 μg/mL. Our results demonstrated that the applied method was effective to detect human α-LA in cow milk.
Copyright © 2016 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  ELISA; colloidal gold immunochromatographic strip assay; genetically modified cow milk; human α-lactalbumin

Mesh:

Substances:

Year:  2015        PMID: 26723118     DOI: 10.3168/jds.2015-9919

Source DB:  PubMed          Journal:  J Dairy Sci        ISSN: 0022-0302            Impact factor:   4.034


  2 in total

1.  Electrochemical immunoassay for lactalbumin based on the use of ferrocene-modified gold nanoparticles and lysozyme-modified magnetic beads.

Authors:  Abdelmoneim Mars; Sinda Ben Jaafar; Amel Ben Ammar-El Gaied; Noureddine Raouafi
Journal:  Mikrochim Acta       Date:  2018-09-07       Impact factor: 5.833

2.  In vitro selection and optimization of high-affinity aptamer for milk allergen α-lactalbumin and its application in dual-mode detection.

Authors:  Ruobing Liu; Fuyuan Zhang; Minghui Shi; Yaxin Sang; Xianghong Wang
Journal:  Front Nutr       Date:  2022-10-04
  2 in total

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