AIMC Topic: Biosensing Techniques

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Advances in gene-targeted diagnostics for pathogenic .

The Analyst
Pathogenic (PEC) strains are important pathogens that causes a variety of infectious diseases in humans. Traditional bacterial culture and biochemical identification methods are time-consuming and lack specificity, making rapid and accurate diagnosi...

Dopamine Self-Polymerization-Assisted Oriented Antibody Immobilization on a Transistor for Alzheimer's Disease Diagnosis.

Analytical chemistry
Antibody transistor biosensors show promise for early Alzheimer's disease (AD) diagnosis due to their single molecule detection capability. However, the random attachment of a payload to antigen-binding fragments (Fab) during biosensor preparation ca...

Advances in biosensors for bacterial detection and identification.

World journal of microbiology & biotechnology
Bacterial detection and identification is paramount as it plays a key role in safeguarding human health, food safety and security. Over the past decade, biosensors have emerged as a powerful tool for bacterial detection due to their ability to provid...

Deep Learning-Assisted G4 Nanowire-Enhanced Carbon Dot Biosensor for Exosomal LncRNA Artificial Intelligence Diagnosis.

Analytical chemistry
Exosomal long noncoding RNAs (lncRNA) have significant potential as a biomarker for early cancer diagnosis. Accurate and sensitive detection of this abnormal expression remains challenging. Herein, we develop an innovative dual-mode photoelectrochemi...

Dynamic Interaction: Synthetic Biology and Cell-Free Biosensors Drive Each Other Forward.

ACS nano
The convergence of synthetic biology and biosensor technology is driving a scientific and technological revolution in biotechnology. Characterized by its interdisciplinary nature, synthetic biology applies engineering principles to design and constru...

Orthogonal Biochemical Sensing for Concentration-Independent Bacterial Fingerprinting.

Analytical chemistry
Array-based biosensors hold substantial promise for rapid bacterial identification. However, conventional approaches face two key limitations: their reliance on nonspecific interactions with bacterial surfaces hinders biochemical interpretation, and ...

Overcoming Challenges in Electrochemical Sensing: Toward Continuous Monitoring.

ACS sensors
The advancement of decentralized and real-time monitoring necessitates robust electrochemical sensors that can operate continuously in complex environments. However, transitioning these sensors from laboratory prototypes to reliable field devices rem...

From Lab to Body: Advanced Electrochemical Biosensors for Illicit Drug Detection via Nanomaterials, AI, and Wearable Tech.

ACS sensors
Illicit drug detection is entering a transformative era, driven by the convergence of electrochemical sensing, nanomaterials engineering, and artificial intelligence. Traditional analytical approaches, despite their precision, are increasingly misali...

Integrating AI-assisted SERS Biosensing and Photoactivated Antibacterial Therapy in Au@CuSe for Combating Multidrug-Resistant Bacteria.

Analytical chemistry
The escalating global crisis of multidrug-resistant (MDR) bacteria demands innovative strategies that bypass conventional antibiotic limitations. This study introduced a multifunctional Au@CuSe core-shell nanoplatform integrating artificial intellige...

Reticular-Induced Energy Transfer Driven Renewable ECL System with Machine Learning for Glioma-Specific Dual-Biomarker Detection and Expression Correlation Mechanism.

Analytical chemistry
Rapid, accurate, and renewable electrochemiluminescence (ECL) bioassays are crucial for multiplexed biomarker detection. Integrated with efficient analytical model for processing sensing data, these tools enable precise differentiation of tumor stage...