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Carbon

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Forecasting the spatiotemporal variability of soil CO emissions in sugarcane areas in southeastern Brazil using artificial neural networks.

Environmental monitoring and assessment
Carbon dioxide (CO) is considered one of the main greenhouse effect gases and contributes significantly to global climate change. In Brazil, the agricultural areas offer an opportunity to mitigate this effect, especially with the sugarcane crop, sinc...

Space-time trends of PM constituents in the conterminous United States estimated by a machine learning approach, 2005-2015.

Environment international
Particulate matter with aerodynamic diameter less than 2.5 μm (PM) is a complex mixture of chemical constituents emitted from various emission sources or through secondary reactions/processes; however, PM is regulated mostly based on its total mass c...

Chemical Sensing at the Robot Fingertips: Toward Automated Taste Discrimination in Food Samples.

ACS sensors
The development of robotic sensors that mimic the human sensing capabilities is critical for the interaction and cognitive abilities of modern robots. Though robotic skin with embedded pressure or temperature sensors has received recent attention, ro...

Estimating regional effects of climate change and altered land use on biosphere carbon fluxes using distributed time delay neural networks with Bayesian regularized learning.

Neural networks : the official journal of the International Neural Network Society
The ability to accurately predict changes of the carbon and energy balance on a regional scale is of great importance for assessing the effect of land use changes on carbon sequestration under future climate conditions. Here, a suite of land cover-sp...

Microwave-assisted digestion using diluted HNO and HO for macro and microelements determination in guarana samples by ICP OES.

Food chemistry
A microwave-assisted digestion procedure using diluted HNO and HO was developed for multi-element determination in guarana samples by ICP OES. Optimization step was performed employing a mixture design with pseudocomponents using HNO, HO and HO. The ...

Electrochemical synthesis of silver nanoclusters on electrochemiluminescent resonance energy transfer amplification platform for Apo-A1 detection.

Talanta
Herein, a novel electrochemiluminescence resonance energy transfer (ERET) strategy between in situ electrogenerated silver nanoclusters (AgNCs) as the donor and Ru(bpy)(5-NH-1,10-phen)Cl (Ru(II)) as the acceptor was reported, which was applied for th...

Carbon dots-modified chitosan based electrochemical biosensing platform for detection of vitamin D.

International journal of biological macromolecules
Here in, a carbon dots (CDs)-modified chitosan (CH) based biosensing platform was fabricated for vitamin D detection. Carbon dots were synthesized through microwave pyrolysis method, and characterized with transmission electron microscopy, Raman spec...

Investigation of the effects of carbon-based nanomaterials on A53T alpha-synuclein aggregation using a whole-cell recombinant biosensor.

International journal of nanomedicine
The aggregation of alpha-synuclein (αS), natively unstructured presynaptic protein, is a crucial factor leading to the pathogenesis of Parkinson's disease (PD) and other related disorders. Recent studies have shown prefibrillar and oligomeric interme...

Aptamer based fluorometric β-lactoglobulin assay based on the use of magnetic nanoparticles and carbon dots.

Mikrochimica acta
The authors describe a fluorometric aptamer based assay for detecting β-lactoglobulin by using carbon dots (C-dots) as a signal indicator. The aptamer was immoblized on magnetite (FeO) nanoparticles (MNPs), and the C-dots served as a label for the co...