AIMC Topic: Colorimetry

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Au nanozyme-based colorimetric sensor array integrates machine learning to identify and discriminate monosaccharides.

Journal of colloid and interface science Jun 3, 2024
As different monosaccharides exhibit different redox characteristics, this paper presented a novel colorimetric sensor array based on the glucose oxidase-like (GOx-like) activity of Au nanoparticles (NPs) for monosaccharides identification. AuNPs can...
Colorimetry Particle Size Machine Learning Metal Nanoparticles Monosaccharides Surface Properties Oxidation-Reduction Gold
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Deep learning assisted logic gates for real-time identification of natural tetracycline antibiotics.

Food chemistry May 30, 2024
The overuse and misuse of tetracycline (TCs) antibiotics, including tetracycline (TTC), oxytetracycline (OTC), doxycycline (DC), and chlortetracycline (CTC), pose a serious threat to human health. However, current rapid sensing platforms for tetracyc...
Colorimetry Smartphone Food Contamination Anti-Bacterial Agents Deep Learning Tetracycline Logic Tetracyclines
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3D-printed portable device for illicit drug identification based on smartphone-imaging and artificial neural networks.

Talanta May 6, 2024
In this manuscript, a 3D-printed analytical device has been successfully developed to classify illicit drugs using smartphone-based colorimetry. Representative compounds of different families, including cocaine, 3,4-methylenedioxy-methamphetamine (MD...
Illicit Drugs Neural Networks, Computer Colorimetry Printing, Three-Dimensional Substance Abuse Detection Humans Smartphone
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Ratiometric fluorescence sensor based on deep learning for rapid and user-friendly detection of tetracycline antibiotics.

Food chemistry Apr 15, 2024
The detection of tetracycline antibiotics (TCs) in food holds great significance in minimizing their absorption within the human body. Hence, this study aims to develop a rapid, convenient, real-time, and accurate detection method for detecting antib...
Spectrometry, Fluorescence Tetracycline Colorimetry Food Contamination Fluorescence Anti-Bacterial Agents Deep Learning
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Deep Learning-Assisted Colorimetric/Electrical Dual-Sensing System for Ultrafast Detection of Hydrogen Sulfide.

ACS sensors Apr 7, 2024
This study presents a colorimetric/electrical dual-sensing system (CEDS) for low-power, high-precision, adaptable, and real-time detection of hydrogen sulfide (HS) gas. The lead acetate/poly(vinyl alcohol) (Pb(Ac)/PVA) nanofiber film was transferred ...
Polyvinyl Alcohol Hydrogen Sulfide Acetates Nanofibers Deep Learning Colorimetry Lead Limit of Detection
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Multichannel Hierarchical Analysis of Time-Resolved Hyperspectral Data for Advanced Colorimetric E-Nose.

ACS sensors Mar 28, 2024
The colorimetric sensor-based electronic nose has been demonstrated to discriminate specific gaseous molecules for various applications, including health or environmental monitoring. However, conventional colorimetric sensor systems rely on RGB senso...
Electronic Nose Neural Networks, Computer Colorimetry Volatile Organic Compounds
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Machine Learning-Assistant Colorimetric Sensor Arrays for Intelligent and Rapid Diagnosis of Urinary Tract Infection.

ACS sensors Mar 26, 2024
Urinary tract infections (UTIs), which can lead to pyelonephritis, urosepsis, and even death, are among the most prevalent infectious diseases worldwide, with a notable increase in treatment costs due to the emergence of drug-resistant pathogens. Cur...
Biosensing Techniques Iron Urinary Tract Infections Machine Learning Colorimetry Humans
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Linker-Preserved Iron Metal-Organic Framework-Based Lateral Flow Assay for Sensitive Transglutaminase 2 Detection in Urine Through Machine Learning-Assisted Colorimetric Analysis.

ACS sensors Mar 12, 2024
A groundbreaking demonstration of the utilization of the metal-organic framework MIL-101(Fe) as an exceptionally perceptive visual label in colorimetric lateral flow assays (LFA) is described. This pioneering approach enables the precise identificati...
Humans Machine Learning Metal-Organic Frameworks Renal Insufficiency, Chronic Reproducibility of Results Protein Glutamine gamma Glutamyltransferase 2 Iron Colorimetry
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Nanozyme-induced deep learning-assisted smartphone integrated colorimetric and fluorometric dual-mode for detection of tetracycline analogs.

Analytica chimica acta Feb 14, 2024
In this work, a colorimetric and fluorescent dual-mode probe controlled by NH-MIL-88 B (Fe, Ni) nanozymes was developed to visually detect tetracycline antibiotics (TCs) residues quantitatively, as well as accurately distinguish the four most widely ...
Tetracycline Smartphone Fluorescent Dyes Benzidines Heterocyclic Compounds Hydrogen Peroxide Colorimetry Anti-Bacterial Agents Deep Learning
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On-Demand Optimization of Colorimetric Gas Sensors Using a Knowledge-Aware Algorithm-Driven Robotic Experimental Platform.

ACS sensors Feb 8, 2024
Synthesizing the best material globally is challenging; it needs to know what and how much the best ingredient composition should be for satisfying multiple figures of merit simultaneously. Traditional one-variable-at-a-time methods are inefficient; ...
Colorimetry Robotic Surgical Procedures Algorithms Ammonia Robotics
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