| Literature DB >> 26723118 |
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.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