AIMC Topic: Limit of Detection

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Lateral flow and colorimetric assay for ketamine detection reinforced with deep learning model interfaced with mobile app for smart alert.

Mikrochimica acta
Point-of-care (POC) devices have grown in popularity due to their ease of use, low cost, and speedy on-site diagnostic capabilities. This study focuses on ketamine detection by colorimetric and lateral flow assays (LFA), with aptamer-based LFA emergi...

Synthesis and characterization of lignin-copper nanohybrids for colorimetric acetaminophen detection: a combined physical chemistry and machine learning study.

Physical chemistry chemical physics : PCCP
Acetaminophen ranks among the most widely used pharmaceutical and personal care products today. Following consumption, the drug and its metabolites are excreted into sewage systems, wastewater treatment plants, and various aquatic environments, leadi...

Urea-mediated growth engineering of Au@Ag core-shell nanostructures: an enzymatic detection strategy with machine learning-assisted comparative analysis.

Mikrochimica acta
A non-invasive, enzyme-based colorimetric biosensor was developed for urea detection in saliva, utilizing a growth-based method with Au@Ag core-shell nanostructures, including CTAB-coated gold nanoparticles (AuNPs) and CTAB-coated gold nanorods with ...

Ultrasensitive Detection via Machine Learning-Optimized Bacterial-Imprinted Photoelectrochemical Biosensor with Active/Passive Dual-Mode Validation.

Analytical chemistry
Currently, the existing detection platforms face persistent challenges in achieving reliable bacterial identification within complex matrices, particularly in food and environmental specimens, where matrix interference effects substantially compromis...

A neural network-shaped composite of α-MnO with N-doped graphene for electrocatalytic reduction of hydrogen peroxide in human urine samples.

The Analyst
A neural network-shaped composite fusing α-MnO and nitrogen-doped graphene (N@Gr/α-MnO) was synthesized a hydrothermal method. The resulting composite demonstrates enhanced electrocatalytic activity for hydrogen peroxide (HO) compared with each sing...

Collaborative Internal Cavity Effect and Interfacial Modulation Mechanism for Boosting Deep Learning-Powered Immunochromatographic Pathogen Detection.

Analytical chemistry
Nanoenabled immunochromatographic assay (ICA) emerges as a powerful tool for pathogen diagnosis, yet current nanotechnologies are still constrained by inadequate light-matter interaction efficiency, sluggish nanomaterial flow dynamics, and inefficien...

Dual-Mode SERS Lateral Flow Aptamer Assay with Machine Learning-Driven Highly Sensitive Interferon-γ Detection.

ACS synthetic biology
Interferon-γ (IFN-γ), a key pro-inflammatory cytokine, is widely recognized as a critical biomarker for diagnosing and monitoring various immune-related conditions. However, its typically low concentrations in biological fluids─at the picogram-per-mi...

Dual-Channel Catalytic Immunochromatography Empowered by Machine Learning: Ultrasensitive Detection of O157:H7 via Magnetic CoFeO@HRP Nanocomposites.

Analytical chemistry
Traditional immunochromatographic test strips face significant limitations in detecting trace levels of O157:H7 due to insufficient sensitivity and reliability. To address this challenge, we developed a novel "three-In-One" nanoplatform based on mag...

Detection of Polystyrene Microplastics up to the Single Nanoparticle Limit Using SERS and Advanced ANN Design (KANformer).

ACS sensors
Due to uncontrolled release, gradual accumulation, low degradation rate, and potential negative impact on human health, microplastics (MPs) pose a serious environmental and healthcare risk. Thus, the spread of MPs should be at least carefully monitor...

Machine Learning-Enhanced Chemiresistive Sensors for Ultra-Sensitive Detection of Methanol Adulteration in Alcoholic Beverages.

ACS sensors
Methanol poisoning poses significant health risks, particularly in less developed countries, where adulterated alcoholic beverages often lead to severe morbidity and mortality. Current diagnostic methods, such as gas-liquid chromatography and blood g...