AIMC Topic: Colorimetry

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DNA Robots for CRISPR/Cas12a Activity Management and Universal Platforms for Biosensing.

Analytical chemistry Jan 13, 2024
The CRISPR/Cas12a system is a revolutionary genome editing technique that is widely employed in biosensing and molecular diagnostics. However, there are few reports on precisely managing the -cleavage activity of Cas12a by simple modification since t...
Excision Repair DNA CRISPR-Cas Systems Biosensing Techniques Robotics Colorimetry
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Explainable Deep Learning-Assisted Self-Calibrating Colorimetric Patches for In Situ Sweat Analysis.

Analytical chemistry Jan 8, 2024
Sweat has emerged as a compelling analyte for noninvasive biosensing technology because it contains a wealth of important biomarkers in hormones, organic biomacromolecules, and various ionic mixtures. These components offer valuable insights and can ...
Humans Deep Learning Colorimetry Sweat Neural Networks, Computer Algorithms
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Visible detection of chilled beef freshness using a paper-based colourimetric sensor array combining with deep learning algorithms.

Food chemistry Jan 6, 2024
This study developed an innovative approach that combines a colourimetric sensor array (CSA) composed of twelve pH-response dyes with advanced algorithms, aiming to detect amine gases and assess the freshness of chilled beef. With the assistance of m...
Algorithms Gases Amines Cattle Colorimetry Animals Deep Learning
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Combination of headspace single-drop microextraction (HS-SDME) with a nickel-embedded paper-based analytical device for cyanide quantification.

Analytica chimica acta Oct 14, 2023
BACKGROUND: Cyanide anion can be found in foodstuffs, tobacco smoke and a variety of types of waters, mainly originating from anthropogenic activities. Due to its highly toxic nature, several agencies have established limits for cyanide levels in wat...
Cyanides Limit of Detection Liquid Phase Microextraction Humans Paper Nickel Colorimetry
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A deep learning-enabled smartphone platform for rapid and sensitive colorimetric detection of dimethoate pesticide.

Analytical and bioanalytical chemistry Sep 29, 2023
A novel deep learning-enabled smartphone platform is developed to assist a colorimetric aptamer biosensor for fast and highly sensitive detection of dimethoate. The colorimetric determination of dimethoate is based on the specific binding of dimethoa...
Biosensing Techniques Gold Smartphone Aptamers, Nucleotide Pesticides Dimethoate Metal Nanoparticles Limit of Detection Deep Learning Colorimetry
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CoO/CoFeO Hollow Nanocube Multifunctional Nanozyme with Oxygen Vacancies for Deep-Learning-Assisted Smartphone Biosensing and Organic Pollutant Degradation.

ACS applied materials & interfaces Feb 21, 2023
Although the application of nanozymes has been widely studied, it is still a huge challenge to develop highly active and multifunctional nanozyme catalysts with a wider application prospect. CoO/CoFeO hollow nanocubes (HNCs) with oxygen vacancies wer...
Norfloxacin Peroxidase Oxygen Cysteine Smartphone Oxidation-Reduction Hydrogen Peroxide Deep Learning Colorimetry
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Deep learning-assisted ultra-accurate smartphone testing of paper-based colorimetric ELISA assays.

Analytica chimica acta Jan 31, 2023
Smartphone has long been considered as one excellent platform for disease screening and diagnosis, especially when combined with microfluidic paper-based analytical devices (μPADs) that feature low cost, ease of use, and pump-free operations. In this...
Immunoglobulin G Reproducibility of Results Paper Microfluidic Analytical Techniques Smartphone Deep Learning Enzyme-Linked Immunosorbent Assay Colorimetry
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A regression-based machine learning approach for pH and glucose detection with redox-sensitive colorimetric paper sensors.

Analytical methods : advancing methods and applications Dec 1, 2022
Colorimetric paper sensors are used in various fields due to their convenience and intuitive manner. However, these sensors present low accuracy in practical use because it is difficult to distinguish color changes for a minute amount of analyte with...
Oxidation-Reduction Glucose Hydrogen-Ion Concentration Machine Learning Colorimetry
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Explainable Deep-Learning-Assisted Sweat Assessment via a Programmable Colorimetric Chip.

Analytical chemistry Nov 1, 2022
Multianalytes and individual differences of biofluids (such as blood, urine, or sweat) pose enormous complexity and challenges to rapid, facile, high-throughput, and accurate clinical analysis or health assessment. Deep-learning (DL)-assisted image a...
Colorimetry Sweat Algorithms Deep Learning Humans Image Processing, Computer-Assisted Neural Networks, Computer
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Photodegradation Kinetics and Deep Learning-Based Intelligent Colorimetric Method for Bioavailability-Based Dissolved Iron Speciation.

Analytical chemistry Oct 14, 2022
Via the photodegradation of dissolved iron (dFe) complexes in the euphotic zone, released free Fe(III) is the most important source of bioavailable iron for eukaryotic phytoplankton. There is an urgent need to establish bioavailability-based dissolve...
Biological Availability Photolysis Colorimetry Iron Deep Learning
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