Li Dongyang, Dong Yanhua, Li Bingyu, Wu Yayan, Wang Kai, Zhang Sichun
School of Life Science and Technology, Key Laboratory of Biomedical Information Engineering of Ministry of Education, Xi'an Jiaotong University, 710049, Xi'an, P. R. China.
Department of Chemistry, Beijing Key Laboratory for Microanalytical Methods and Instrumentation, Tsinghua University, 100084, Beijing, P. R. China.
Analyst. 2015 Nov 21;140(22):7672-7. doi: 10.1039/c5an01267h.
Herein we report a novel strategy for the detection and identification of proteins using unmodified noble metal nanoparticles. Five gold nanoparticles (AuNPs) and two silver nanoparticles (AgNPs) with different sizes were utilized as sensing elements to create a colorimetric sensor array. In the presence of proteins, the UV-vis absorbance of the noble metal nanoparticles changed due to the interactions between the protein and nanoparticles, producing distinct absorbance response patterns which can be visually detected by the naked eye. The color pattern of the array is a unique "fingerprints" for each protein sample, which can be differentiated by linear discriminant analysis (LDA). Ten different proteins at concentrations of 0.5, 5 and 50 μM have be successfully discriminated. Moreover, the array was also able to discriminate different bacteria at a concentration of 0.05 OD in 200 μL, as well as cancer cells at the level of 5000 cells in 200 μL. This work demonstrates that an unmodified noble metal nanoparticle-based protein detection array has potential for applications in medical diagnostics.
在此,我们报道了一种使用未修饰的贵金属纳米颗粒检测和鉴定蛋白质的新策略。利用五种不同尺寸的金纳米颗粒(AuNPs)和两种银纳米颗粒(AgNPs)作为传感元件,构建了一个比色传感器阵列。在蛋白质存在的情况下,由于蛋白质与纳米颗粒之间的相互作用,贵金属纳米颗粒的紫外可见吸收发生变化,产生可通过肉眼视觉检测的独特吸收响应模式。阵列的颜色模式是每个蛋白质样品独特的“指纹”,可通过线性判别分析(LDA)进行区分。已成功区分了浓度为0.5、5和50 μM的十种不同蛋白质。此外,该阵列还能够区分浓度为0.05 OD(200 μL)的不同细菌,以及200 μL中5000个细胞水平的癌细胞。这项工作表明,基于未修饰贵金属纳米颗粒的蛋白质检测阵列在医学诊断中具有应用潜力。