Anal Chem. 2018 May 15;90(10):6300-6306. doi: 10.1021/acs.analchem.8b01083. Epub 2018 Apr 26.
A novel combinatorial nanosensor array for miRNA analyses was assembled using the intrinsic noncovalent interactions of unmodified two-dimensional nanoparticles. Discrimination of nine miRNA analogues with as little as a single nucleotide difference was demonstrated under 2 h. All nine targets were identified simultaneously with 95% confidence. The developed nanotechnology offered identification and quantification of unknown targets with unknown concentration. Discrimination of target mixtures from low-to-high ratios was demonstrated. The DNA and RNA analogues of targets were identified using the combinatorial sensory approach. Identification of a target in a complex biological matrix prepared with human urine was demonstrated. The nanosensor array was put together using 15 nanoassemblies (2D-NAs) constructed using three two-dimensional nanoparticles (2D-nps: WS, MoS, and nanographene oxide (nGO)) and five rationally designed fluorescently labeled 15-nt-long ssDNAs (probes). In this approach, each target has only a small yet varying degree of complementarity with each of the five probes adsorbed on the 2D-np surface. The probes in each 2D-NA are desorbed from the surface by each target with a different degree that was recorded with fluorescence recovery measurements. The fluorescence data set was processed by partial least squares discriminant analysis (PLSDA), and each target was discriminated successfully. This new approach has a number of advantages over the classical bind-and-release model, typically used for 2D-np based biosensors, and opens greater detection opportunities with 2D-nps.
一种新型组合纳米传感器阵列用于 miRNA 分析,该阵列使用未经修饰的二维纳米粒子的固有非共价相互作用组装而成。在 2 小时内,证明了对具有单个核苷酸差异的 9 种 miRNA 类似物的区分。所有 9 个靶标均以 95%的置信度同时被识别。所开发的纳米技术提供了对未知浓度未知靶标的识别和定量。证明了从低至高比例的靶标混合物的区分。使用组合传感方法识别了目标的 DNA 和 RNA 类似物。使用人尿制备的复杂生物基质中的靶标鉴定得到了证明。该纳米传感器阵列由 15 个纳米组装体(2D-NAs)组成,这些纳米组装体使用三种二维纳米粒子(WS、MoS 和纳米氧化石墨烯(nGO))和五个合理设计的荧光标记的 15-nt 长 ssDNA(探针)构建。在这种方法中,每个靶标与吸附在 2D-np 表面上的五个探针中的每个探针仅有小但不同程度的互补性。每个 2D-NA 中的探针被每个靶标以不同程度从表面解吸,荧光恢复测量记录了该程度。荧光数据集通过偏最小二乘判别分析(PLSDA)进行处理,并且成功地对每个靶标进行了区分。与通常用于基于 2D-np 的生物传感器的经典结合-释放模型相比,这种新方法具有许多优势,并为 2D-nps 开辟了更多的检测机会。