Amplification-free digital immunoassays (DIAs) typically utilize optical nanoparticles to enhance single immunocomplex molecule detection. The efficiency and uniformity of transferring the nanoparticles from a bulk solution to a solid surface determine the limit of detection (LOD) and the accuracy of DIAs. Previous methods suffer from issues like low efficiency, nonuniform distribution, and particle aggregation. Here, we present a novel technique named synergistic sedimentation of Brownian motion suppression and dehydration transfer (SynSed) for nanoparticles using water-soluble polymers. The efficiency of transferring quantum dots (QDs) was increased from 10.7 to 91.4%, and the variation in QD distribution was restricted to 8.8%. By incorporating SynSed into DIAs, we achieved a remarkable reduction in the LOD (down to 3.9 aM) for carcinoembryonic antigen and expanded the dynamic range to cover 3 orders of magnitude in concentration, ranging from 0.01 to 10 fM. DIAs enhanced with SynSed possess ultrahigh sensitivity, advanced accuracy, and specificity, offering a great premise in early disease diagnostics, risk stratification, and treatment response monitoring.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1021/acs.analchem.3c05066 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Multiplexed food-borne pathogen detection using an argonaute-mediated digital sensor based on a magnetic-bead-assisted imaging transcoding system.
Nat Food
January 2025
College of Food Science and Technology, Huazhong Agricultural University, Wuhan, China.
Accurate, sensitive and multiplexed detection of food-borne pathogens is crucial for assessing food safety risks. Here we present a digital DNA-amplification-free nucleic acid detection assay to achieve multiplexed and ultrasensitive detection of three food-borne pathogens. We used mesophilic Clostridium butyricum argonaute and magnetic beads in a digital carrier system (d-MAGIC).
View Article and Find Full Text PDFMachine Learning-Assisted, Dual-Channel CRISPR/Cas12a Biosensor-In-Microdroplet for Amplification-Free Nucleic Acid Detection for Food Authenticity Testing.
ACS Nano
December 2024
State Key Laboratory of Food Nutrition and Safety, Key Laboratory of Industrial Microbiology, Ministry of Education, Tianjin Key Laboratory of Industry Microbiology, National and Local United Engineering Lab of Metabolic Control Fermentation Technology, China International Science and Technology Cooperation Base of Food Nutrition/Safety and Medicinal Chemistry, College of Biotechnology, Tianjin University of Science & Technology, Tianjin 300457, China.
The development of novel detection technology for meat species authenticity is imperative. Here, we developed a machine learning-supported, dual-channel biosensor-in-microdroplet platform for meat species authenticity detection named CC-drop (RISPR/Cas12a digital single-molecule microdroplet biosensor). This strategy allowed us to quickly identify and analyze animal-derived components in foods.
View Article and Find Full Text PDFSingle-Molecule Detection of Serum MicroRNAs for Medulloblastoma with Biphasic Sandwich Hybridization-Assisted Plasmonic Resonant Scattering Imaging.
Anal Chem
November 2024
Shanghai Institute for Pediatric Research, Shanghai Key Laboratory of Pediatric Gastroenterology and Nutrition, Xin Hua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China.
MicroRNA (miRNA) dysregulation is closely related to the occurrence and progression of medulloblastoma (MB). However, the full potential of serum circulating miRNAs in MB diagnosis is restricted by their ultralow abundance in peripheral blood due to blood-brain barrier. Here, we report the direct preamplification-free detection of aberrant expression of oncogenic miRNAs in serum from MB patients by proposing a simple yet robust single-molecule assay that combines iphasic andwich hybridization in nucleic acids and the dark-field ingle-article lasmonic maging (B2S2PI).
View Article and Find Full Text PDFAn Amplification-Free Digital Assay Based on Primer Exchange Reaction-Mediated Botryoidal-Like Fluorescent Polystyrene Dots to Detect Multiple Pathogenic Bacteria.
ACS Nano
November 2024
College of Food Science and Technology, Huazhong Agricultural University, Wuhan, Hubei 430070, China.
Multiple and ultrasensitive detection of pathogenic bacteria is critical but remains a challenge. Here, we introduce a digital assay for multiplexed and target DNA amplification-free detection of pathogenic bacteria using botryoidal-like fluorescent polystyrene dots (PS-dots), which were first prepared through the hybridization reaction between primer exchange reaction chains and polystyrene nanospheres that encapsulated polymer dots for signal preamplification. The pathogenic bacteria's DNA was cleavaged by the argonaute (Ago) protein-mediated multiple and precise cleavage reactions, where the obtained target sequences bridged the magnetic beads (MBs) and botryoidal-like PS-dots via a hybridization reaction, and the fluorescent MB-botryoidal PS-dot complexes were utilized as digital probes based on colors and sizes for digital encoding.
View Article and Find Full Text PDFDigital CRISPR-Powered Biosensor Concept without Target Amplification Using Single-Impact Electrochemistry.
ACS Sens
November 2024
Neuroelectronics, Munich Institute of Biomedical Engineering, Department of Electrical Engineering, School of Computation, Information and Technology, Technical University of Munich, 85748 Garching, Germany.
The rapid and reliable detection and quantification of nucleic acids is crucial for various applications, including infectious disease and cancer diagnostics. While conventional methods, such as the quantitative polymerase chain reaction are widely used, they are limited to the laboratory environment due to their complexity and the requirement for sophisticated equipment. In this study, we present a novel amplification-free digital sensing strategy by combining the collateral cleavage activity of the Cas12a enzyme with single-impact electrochemistry.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!