Aptamer Nanomesh-Driven Probabilistic Evaluation of Biomarker Interactions Enabling Ultrasensitive Protein Detection

Detection of disease biomarkers at ultratrace concentrations remains a major bottleneck in molecular diagnostics, restricted by the intrinsic limitations of aptamer affinity, the scarcity of analyte molecules, and insufficient signal amplification strategies. In this work, we report a surface-enhanced Raman scattering (SERS) sandwich assay supported by theoretical basis that addresses these challenges by integrating aptamers, nanomeshes, and reporter nanoprobes. The resulting platform enables reliable detection of biomarkers in the attomolar range, representing a significant advance in sensitivity compared to conventional aptamer-SERS assays. The aptamer-nanomesh design demonstrated robust performance in detecting rotein biomarkers in human serum, maintaining high recovery rates even in the presence of complex matrix interferences that typically hinder ultrasensitive measurements. Beyond a single target, the approach was extended to multiple protein targets, where each analyte produced distinct and quantifiable Raman signatures, underscoring the assay’s versatility and potential for multiplexing applications. By addressing the fundamental limitations of natural aptamer-target interactions and enhancing molecular signal readouts, this study advances aptamer-SERS biosensing toward practical translational applications.

Authors

Institutions

Publication Details

Journal
ACS Applied Nano Materials
Published
2025-12-03
DOI
https://doi.org/10.1021/acsanm.5c04905
Primary Topic
Gold and Silver Nanoparticles Synthesis and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Aptamer Nanomesh-Driven Probabilistic Evaluation of Biomarker Interactions Enabling Ultrasensitive Protein Detection

Amil Aligayev, Qing Huang, Muhammad Muhammad
ACS Applied Nano Materials
Gold and Silver Nanoparticles Synthesis and Applications
article

Aptamer Nanomesh-Driven Probabilistic Evaluation of Biomarker Interactions Enabling Ultrasensitive Protein Detection

Amil Aligayev, Qing Huang, Muhammad Muhammad
article en

Abstract

Detection of disease biomarkers at ultratrace concentrations remains a major bottleneck in molecular diagnostics, restricted by the intrinsic limitations of aptamer affinity, the scarcity of analyte molecules, and insufficient signal amplification strategies. In this work, we report a surface-enhanced Raman scattering (SERS) sandwich assay supported by theoretical basis that addresses these challenges by integrating aptamers, nanomeshes, and reporter nanoprobes. The resulting platform enables reliable detection of biomarkers in the attomolar range, representing a significant advance in sensitivity compared to conventional aptamer-SERS assays. The aptamer-nanomesh design demonstrated robust performance in detecting rotein biomarkers in human serum, maintaining high recovery rates even in the presence of complex matrix interferences that typically hinder ultrasensitive measurements. Beyond a single target, the approach was extended to multiple protein targets, where each analyte produced distinct and quantifiable Raman signatures, underscoring the assay’s versatility and potential for multiplexing applications. By addressing the fundamental limitations of natural aptamer-target interactions and enhancing molecular signal readouts, this study advances aptamer-SERS biosensing toward practical translational applications.

ACS Applied Nano MaterialsVol. 8(49)
University of Science and Technology of China (CN), Chinese Academy of Sciences (CN), Hefei Institutes of Physical Science (CN), Institute of Intelligent Machines (CN), Institute of Optics and Electronics, Chinese Academy of Sciences (CN), Anhui Institute of Optics and Fine Mechanics (CN)
Openalex Percentile: Top 72%
Gold and Silver Nanoparticles Synthesis and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Aptamer Nanomesh-Driven Probabilistic Evaluation of Biomarker Interactions Enabling Ultrasensitive Protein Detection — Amil Aligayev, Qing Huang, et al. · ACS Applied Nano Materials (2025) | TGRS Research Map | TGRS