Detection and identification of proteins using nanoparticle-fluorescent polymer 'chemical nose' sensors

Detection and identification of proteins using nanoparticle-fluorescent polymer 'chemical nose' sensors
复制标题

DOI:
10.1038/nnano.2007.99
复制
发表时间:
2007-05-01
影响因子:
38.3
通讯作者:
Rotello, Vincent M.
Rotello, Vincent M.
中科院分区:
材料科学1区
文献类型:
--
作者:
You, Chang-Cheng;Miranda, Oscar R.;Rotello, Vincent M.

文献摘要

被引文献

相似文献

一种包含六个非共价金纳米粒子-荧光聚合物偶联物的传感器阵列已经被创建,用于检测,识别和量化蛋白质目标。聚合物荧光被金纳米粒子猝灭;蛋白质的存在破坏了纳米粒子-聚合物的相互作用,产生了不同的荧光响应模式。这些模式是高度可重复的,并且是纳摩尔浓度下单个蛋白质的特征,并且可以通过线性判别分析(LDA)进行定量区分。基于在280 nm (a(280) = 0.005)相同紫外吸收浓度下生成的训练矩阵,LDA与紫外测量相结合,成功地鉴定了52种未知蛋白质样品(7种不同的蛋白质),准确率为94.2%。这项工作展示了新型纳米材料蛋白质检测阵列的构建,在医学诊断中具有潜在的应用前景。
A sensor array containing six non-covalent gold nanoparticle-fluorescent polymer conjugates has been created to detect, identify and quantify protein targets. The polymer fluorescence is quenched by gold nanoparticles; the presence of proteins disrupts the nanoparticle-polymer interaction, producing distinct fluorescence response patterns. These patterns are highly repeatable and are characteristic for individual proteins at nanomolar concentrations, and can be quantitatively differentiated by linear discriminant analysis (LDA). Based on a training matrix generated at protein concentrations of an identical ultraviolet absorbance at 280 nm (A(280) = 0.005), LDA, combined with ultraviolet measurements, has been successfully used to identify 52 unknown protein samples (seven different proteins) with an accuracy of 94.2%. This work demonstrates the construction of novel nanomaterial-based protein detector arrays with potential applications in medical diagnostics.