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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.
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http://dx.doi.org/10.1021/acs.analchem.8b01083 | DOI Listing |
ACS Appl Mater Interfaces
December 2024
Department of Chemistry, University of Massachusetts Amherst, 710 North Pleasant Street, Amherst, Massachusetts 01003, United States.
Cell state transitions are fundamental in biology, determining how cells respond to environmental stimuli and adapt to diseases and treatments. Cell surface-based sensing of geno/phenotypes is a versatile approach for distinguishing different cell types and states. Array-based biosensors can provide a highly sensitive platform for distinguishing cells based on the differential interactions of each sensing element with cell surface components.
View Article and Find Full Text PDFACS Sens
December 2024
School of Chemical Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea.
Breath sensors promise early disease diagnosis through noninvasive, rapid analysis, but have struggled to reach clinical use due to challenges in scalability and multivariate data extraction. The current breath sensor design necessitates various channel materials and surface functionalization methods, which delays the process. Additionally, the limited options for channel materials that provide optimum sensitivity and selectivity further restrict the array size to a maximum of only 10 to 20 channels.
View Article and Find Full Text PDFMaterials (Basel)
September 2024
Chair of Medical Biotechnology, Faculty of Chemistry, Warsaw University of Technology, Noakowskiego 3, 00-664 Warsaw, Poland.
The design of chemical sensors and probes is usually based on selective receptors for individual analytes, however, many analytical tasks are dedicated to multi-analyte sensing or recognizing properties of the sample related to more than one analyte. While it is possible to simultaneously use multiple sensors/receptors in such cases, multi-responsive probes could be an attractive alternative. In this work, we use thiomalic acid-capped CdTe quantum dots as a multiple-response receptor for the detection and quantification of six heavy metal cations: Ag(I), Cd(II), Co(II), Cu(II), Ni(II), and Pb(II) at micromolar concentration levels.
View Article and Find Full Text PDFAnal Methods
November 2024
Key Laboratory for Biorheological Science and Technology of Ministry of Education, Bioengineering College of Chongqing University, Chongqing 400044, PR China.
ACS Sens
October 2024
School of Chemical Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea.
Optical nanosensors, including single-walled carbon nanotubes (SWCNTs), provide real-time spatiotemporal reporting at the single-molecule level within a nanometer-scale area. However, their superior sensitivity also makes them susceptible to slight environmental influences such as reference analytes in media, external fluid flow, and mechanical modulations. Consequently, they often fail to achieve the optimal limit of detection (LOD) and frequently convey misinformation spatiotemporally.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!