AIMC Topic: Biosensing Techniques

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Robust detection of femtogram-level Alzheimer's biomarkers using machine learning-enhanced graphene biosensors.

Biosensors & bioelectronics
Early diagnosis of Alzheimer's disease (AD) requires blood biomarker tests sensitive to femtogram/mL concentrations. Graphene field-effect transistors (GFETs) are promising for this application, but suffer from device-to-device variability and requir...

DNA Nanostructures Characterized via Dual Nanopore Resensing.

ACS nano
DNA nanotechnology uses predictable interactions of nucleic acids to precisely engineer complex nanostructures. Characterizing these self-assembled structures at the single-structure level is crucial for validating their design and functionality. Nan...

Machine Learning-Assisted Terahertz Metagrating Biosensor for Label-Free Bacterial Identification Based on Spectral Fingerprinting.

Analytical chemistry
Rapid and accurate identification of pathogenic bacteria is pivotal for enabling early clinical diagnosis and precision antimicrobial therapy. In this study, we developed a label-free bacterial detection platform that integrates terahertz (THz) metag...

Chemiluminescent biosensors for pharmaceutical analysis: innovations, challenges, and future prospects.

Biosensors & bioelectronics
Chemiluminescent (CL) biosensors have rapidly emerged as indispensable analytical tools within the multifaceted domains of pharmaceutical research, development, and clinical diagnostics. This prominence stems from their intrinsic attributes such as h...

Machine-Learning-Assisted CRISPR/Cas12a Biosensors for Monitoring Organophosphorus Pesticide Degradation.

Analytical chemistry
Owing to the severe environmental and health issues posed by organophosphorus pesticides (OPs), a dual-enzyme cascade biosensing platform based on manganese dioxide (MnO) and CRISPR/Cas12a was developed in this study. Smartphones were innovatively in...

Next-generation COVID-19 detection using a metasurface biosensor with machine learning-enhanced refractive index sensing.

Scientific reports
This work introduces a high-performance graphene-silver hybrid metasurface biosensor for the fast and precise detection of COVID-19. Through parametric optimization with COMSOL Multiphysics, the sensor achieves a sensitivity of 400 GHz/RIU, a figure ...

Interpretating SPR-Derived Reaction Kinetics via Self-Organizing Maps for Diagnostic Applications.

ACS sensors
Biosensors emerge as promising, cost-effective infectious disease diagnostics in resource-limited settings, requiring neither laboratory infrastructure nor specialized personnel. Surface plasmon resonance (SPR)-based biosensors remain preeminent for ...

From reactive to proactive: Continuous protein monitoring for preventive health care.

Science (New York, N.Y.)
Continuous biomarker monitoring is revolutionizing chronic disease management, with glucose monitoring for diabetes as the primary example. Given the success of this approach, a transition to continuous protein monitoring (CPM, a real-time, implantab...

Micro- and nanoscale biosensing technologies for early diagnosis of Parkinson's disease.

Mikrochimica acta
Parkinson's disease (PD), the second most prevalent neurodegenerative disorder, remains challenging to diagnose at its earliest stages due to the absence of definitive biomarkers and overlapping clinical features with other synucleinopathies, thereby...

An artificial intelligence-enhanced early ovarian cancer diagnosis biosensor.

Journal of materials chemistry. B
In early cancer diagnosis, extracellular vesicles (EVs) are more advantageous than circulating tumor cells due to their smaller size, greater stability, and enhanced tissue penetration. These qualities lead to higher EV concentrations in body fluids,...