AIMC Topic: Toluene

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Pd/silicalite-1: An highly active catalyst for the oxidative removal of toluene.

Journal of environmental sciences (China) Dec 29, 2021
Catalytic combustion is thought as an efficient and economic pathway to remove volatile organic compounds, and its critical issue is the development of high-performance catalytic materials. In this work, we used the in situ synthesis method to prepar...
Toluene Oxides Catalysis Oxidative Stress Oxidation-Reduction
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Kriging-Based Land-Use Regression Models That Use Machine Learning Algorithms to Estimate the Monthly BTEX Concentration.

International journal of environmental research and public health Sep 23, 2020
This paper uses machine learning to refine a Land-use Regression (LUR) model and to estimate the spatial-temporal variation in BTEX concentrations in Kaohsiung, Taiwan. Using the Taiwanese Environmental Protection Agency (EPA) data of BTEX (benzene, ...
Benzene Environmental Monitoring Machine Learning Algorithms Toluene Xylenes Benzene Derivatives Taiwan Air Pollutants Humans
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Performance assessment of gas-phase toluene removal in one- and two-liquid phase biotrickling filters using artificial neural networks.

Chemosphere Jun 8, 2019
The main aim of this work is to study gas-phase toluene removal in one- and two-liquid phase biotrickling filters (O/TLP-BTF) and model the BTF performance using artificial neural networks (ANNs). The TLP-BTF was operated for 60 d in the presence of ...
Filtration Gases Silicone Oils Kinetics Toluene Neural Networks, Computer Air Pollutants
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Bluetooth gas sensing module combined with smartphones for air quality monitoring.

Chemosphere Apr 26, 2018
This study addresses the development of a miniaturized (60 × 60 mm) Wireless Sensing Module (WSM) for environmental application and air quality detection. The proposed prototype has six sensors: one for humidity, one for ambient temperature (SHT21 fr...
Environmental Monitoring Air Pollution Smartphone Benzene Toluene Gases Xylenes Formaldehyde Acetone Neural Networks, Computer Algorithms
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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...
Spectrometry, Fluorescence Metal-Organic Frameworks Models, Molecular Limit of Detection Calixarenes Hippurates Fluorescent Dyes Toluene Humans Reagent Strips Phenols Urinalysis
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Classification of nervous system withdrawn and approved drugs with ToxPrint features via machine learning strategies.

Computer methods and programs in biomedicine Feb 9, 2017
BACKGROUND AND OBJECTIVES: Early-phase virtual screening of candidate drug molecules plays a key role in pharmaceutical industry from data mining and machine learning to prevent adverse effects of the drugs. Computational classification methods can d...
Computer Simulation Sensitivity and Specificity Benzene Support Vector Machine Algorithms Patient Safety Humans Data Mining Toluene Pattern Recognition, Automated False Positive Reactions Linear Models Drug Monitoring Pharmaceutical Preparations Carbon Area Under Curve Ethylamines Safety-Based Drug Withdrawals Product Surveillance, Postmarketing Nervous System Drug Approval Risk
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