AIMC Topic: Hippurates

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Harnessing Small-Molecule Analyte Detection in Complex Media: Combining Molecularly Imprinted Polymers, Electrolytic Transistors, and Machine Learning.

ACS applied materials & interfaces Dec 22, 2023
Small-molecule analyte detection is key for improving quality of life, particularly in health monitoring through the early detection of diseases. However, detecting specific markers in complex multicomponent media using devices compatible with point-...
Humans Machine Learning Limit of Detection Graphite Molecularly Imprinted Polymers Transistors, Electronic Molecular Imprinting Hippurates
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Application of kernel principal component analysis and computational machine learning to exploration of metabolites strongly associated with diet.

Scientific reports Feb 21, 2018
Computer-based technological innovation provides advancements in sophisticated and diverse analytical instruments, enabling massive amounts of data collection with relative ease. This is accompanied by a fast-growing demand for technological progress...
Humans Machine Learning Diet Metabolomics Metabolome Principal Component Analysis Eating Data Mining Hippurates
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Design of a calix[4]arene-functionalized metal-organic framework probe for highly sensitive and selective monitor of hippuric acid for indexing toluene exposure.

Analytica chimica acta Nov 23, 2017
In the present work, a novel metal-organic framework (MOF) fluorescent probe was prepared by post-synthetic modification of MIL-53-NH(Al) with carboxylatocalix[4]arene (CC[4]A). The introduced CC[4]A could not only enhance the fluorescence performanc...
Humans Reagent Strips Phenols Models, Molecular Limit of Detection Spectrometry, Fluorescence Metal-Organic Frameworks Fluorescent Dyes Toluene Calixarenes Hippurates Urinalysis
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