AIMC Topic: Limit of Detection

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Dual-mode nanosensor for sensitive detection of methotrexate based on fluorescence technology and deep learning algorithms.

Analytica chimica acta
BACKGROUND: Methotrexate (MTX) in the body can result in severe, potentially life-threatening side effects. As a result, it is imperative to establish a dependable, precise, and specific method for detecting MTX. However, conventional sensors often s...

A nanozyme colorimetric sensor combined with cloud-based machine learning algorithm-assisted WeChat mini program for intelligent identification of Chinese green tea.

Food research international (Ottawa, Ont.)
Green tea has become increasingly renowned among consumers by virtue of its exceptional flavor and high nutritional value. There is often a strong correlation between the varieties of green tea, quality and corresponding price. In this work, a simple...

Fluorescent Microneedle Sensors Based on Tb@Hydrogen-Bonded Organic Frameworks for Real-Time Food Freshness Monitoring.

Inorganic chemistry
As crucial biomarkers of food spoilage, portable and real-time monitoring of the biogenic amines (BAs) is essential to ensuring food safety. In light of this, a ratiometric fluorescent probe (Tb@HOF-BPTC) is developed, which exhibits distinct fluores...

Slice-Inference-Assisted Lightweight Small Object Detection Model for Holographic Digital Immunoassay Quantification.

Analytical chemistry
Sensitive and cost-effective detection methods utilizing portable equipment are crucial for applications in food safety inspection, environmental monitoring, and clinical diagnosis. In this study, we propose a sliced inference-assisted lightweight sm...

Machine Learning-Driven Multi-Emission Fluorescence Array for Simultaneous Size Discrimination and Quantification of Gold Nanoparticles.

Analytical chemistry
Gold nanoparticles (AuNPs) exhibit size-dependent environmental behaviors and bioaccumulation risks, necessitating precise characterization of their hydrodynamic dimensions and concentrations for toxicity assessment. Existing analytical platforms are...

Characterization of digital camera-based UV illumination fluorescent imaging for concentration measurement with limit of detection, specificity and precision.

European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences
Nowadays the increased need for pharmaceutics requires fast, cheap and reliable quality control systems to investigate the final product's quality. The generally used methods like high-pressure liquid chromatography (HPLC) and other coupled technique...

Active capture-directed bimetallic nanosubstrate for enhanced SERS detection of Staphylococcus aureus by combining strand exchange amplification and wavelength-selective machine learning.

Biosensors & bioelectronics
Staphylococcus aureus (S. aureus) is the leading risk factor for food safety and human health. Herein, a novel wavelength-selective machine learning -driven adaptive strand exchange amplification (SEA)/SERS biosensor was developed for rapid detection...

Machine Learning-Guided Cobalt@Copper Dual-Metal Electrochemical Sensor for Urinary Creatinine Detection.

ACS sensors
By utilizing the synergistic effects of a dual-metal cobalt@copper electrode and advanced machine learning algorithms, we have developed a reliable and cost-effective electrochemical sensor for creatinine monitoring. The sensor's active surface was f...

Ultrafast Ratiometric Fluorescent Probe and Deep Learning-Assisted On-Site Detection Platform for BAs and Meat Freshness Based on Molecular Engineering.

ACS sensors
As metabolic byproducts and representative indicators of food spoilage, the monitoring and detection for biogenic amines (BAs) are crucial but challenging for food quality assessment. Here, a strategy is proposed by combining fluorescent probe molecu...