基于糖纳米粒子的模式识别对凝集素进行分类。
Classification of lectins by pattern recognition using glyconanoparticles.
机构信息
Department of Chemistry, University of Massachusetts , Lowell, MA 01854, United States.
出版信息
Anal Chem. 2013 Nov 5;85(21):10277-81. doi: 10.1021/ac402069j. Epub 2013 Oct 16.
Abstract
Carbohydrate-functionalized gold nanoparticles were employed to differentiate plant-legume lectins using a statistical analysis method of linear discriminant analysis (LDA). Various carbohydrates were conjugated on gold nanoparticles, and the resulting glyconanoparticles were treated with lectins. Changes in the localized surface plasmon resonance of the glyconanoparticles upon lectin binding were recorded, and the data were subjected to LDA. Results showed that the glyconanoparticles successfully differentiated all lectins.
摘要
采用线性判别分析（LDA）的统计分析方法，利用碳水化合物功能化的金纳米粒子区分植物-豆科植物凝集素。将各种碳水化合物偶联到金纳米粒子上，所得糖纳米粒子与凝集素处理。记录凝集素结合时糖纳米粒子局域表面等离子体共振的变化，并对数据进行 LDA 分析。结果表明，糖纳米粒子成功地区分了所有的凝集素。
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