AIMC Topic: Limit of Detection

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Ratiometric Determination and Discrimination of Oxicams via Dual-Excitation Carbon Dots Assisted by Machine Learning.

Analytical chemistry
Oxicams, a major category of nonsteroidal anti-inflammatory drugs, are widely used in daily life. However, excessive consumption of oxicams can pose significant risks to human health. Herein, we introduce an innovative and highly sensitive fluorescen...

Machine learning-powered plasmonic pattern recognition: etch-suppressed gold nanorods for multiplex urinary analysis of catecholamine neurotransmitters.

Analytical methods : advancing methods and applications
Simultaneous monitoring of catecholamine neurotransmitters (CNTs)-including epinephrine (Epi), norepinephrine (NE), levodopa (L-DOPA), and dopamine (DA)-is essential for the accurate diagnosis and effective management of various neurological disorder...

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,...

A Machine Learning-Driven Cyclic Optimizing Strategy for the Construction of Paper-Based Microfluidic Devices in the Early Diagnosis of Periodontitis.

ACS sensors
The lack of effective optimization strategies hinders the optimal performance of paper-based microfluidic analytical devices (μPADs). In this work, a Machine Learning-driven Computer vision-BP Neural Networks-Genetic Algorithm-based Cyclic Optimizing...

A magnetic coupled organic SERS platform integrating acetonitrile-driven microextraction and hotspot enrichment: A new strategy for highly sensitive and precise detection of drug molecules in complex matrices.

Biosensors & bioelectronics
The sensitive detection of drug molecules in complex biological samples presents significant challenges, including weak signal intensity, strong matrix interference, and inefficient access of molecules to SERS hotspots. To address these issues, this ...

Neurochemical profiling in urine: Multiplexed detection of dopamine and serotonin using ML-integrated laser-induced graphene biosensors.

Biosensors & bioelectronics
Simultaneous monitoring of dopamine (DA) and serotonin (SER) in urine offers a non-invasive route for diagnosing neurological, psychiatric, and metabolic disorders. However, their multiplexed detection at the point-of-care remains challenging due to ...

Hollow polydopamine for the enhanced ultrasensitive dual-modal immunochromatographic detection of Salmonella typhimurium in dairy products via machine learning.

Mikrochimica acta
Salmonella typhimurium (S. typhimurium) A dual-mode colorimetric/photothermal immunochromatographic strip (ICS) employing hollow polydopamine nanoparticles (h-PDA) is reported for the ultrasensitive detection of Salmonella typhimurium (S. typhimurium...

Pocket Electronic Nose Integrating an Ultra-Compact Sensor Array Chip and Spatiotemporal Network Enables Highly Selective Gas Sensing.

ACS sensors
Accurately distinguishing gases with nearly identical molecular structures─such as nitric oxide (NO) and nitrogen dioxide (NO)─remains challenging for conventional sensors. We report a palm-sized (5 cm × 5 cm) electronic nose that integrates an ultra...

Machine Learning-Driven Dual-Recognition Magnetic Imprinted Polymers: Host-Guest/Aptamer Synergy Enabling Ultrasensitive Chloramphenicol Detection.

Analytical chemistry
To address the challenges in detecting chloramphenicol (CAP) in complex food matrices, this study developed a magnetic solid-phase microextraction coupled with a high-performance liquid chromatography (MSPME-HPLC) system that integrates machine learn...

Integrated deep eutectic solvent with amorphous metal-organic framework for highly sensitive electrochemical determination of dicofol in milk and water.

Food chemistry
High-throughput screening of deep eutectic solvents (DESs) was performed using artificial intelligence/quantum mechanical models. Ni-amorphous metal-organic frameworks (aMOFs) was synthesized through amine-DES aqueous solution. The target-specific DE...