Biography
Dr. Iobbi works on aromatic plants grown in Liguria that are included in agricultural development projects. The project is focused on different fields: phytochemical extraction, isolation, and characterization of natural compounds from medicinal plants, to promote the sustainable use of biodiversity.
The identification of compounds is performed through gas chromatography, liquid chromatography coupled with mass spectrometry and NMR spectroscopy. NMR Chenomx (https://www.chenomx.com/) is a patented software that allows the unique and exclusive molecular profile of a sample (food or biologically derived) to emerge, thus characterizing it from a metabolic point of view.
The obtained data can be evaluated based on classic and advanced statistical methods. Alongside the instrumental approach, we combine an in-silico study, using computational chemistry programs, following a molecular docking protocol using the Schrödinger Suite
Research Interest
Natural compounds, phytochemistry, metabolomics, chromatography, extraction, molecular docking simulation, molecular dynamic simulations
Contribution by Topic Area
Why publish with us?
Global Visibility – Indexed in major databases
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Open Access – Maximize readership and citation
Multidisciplinary Scope – Biology, Medicine and Engineering
Editorial Board Excellence – Global experts involved
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Permanent Archiving – CrossRef DOI
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Citation – High Citation Potential
Which articles are now trending?
Research Articles
- Effect of Rainfall on Water Parameters in Recreational Lakes in Heidelberg, Germany
- Investigation and Energy Modeling of New Generation Environmentally Friendly Energy Source Thorium Fueled Molten Salt Reactors
- Designing a Compact High-precision Positioner with Large Stroke Capability for Nanoindentation Devices
- Potentially Toxic Metals in Cucumber Cucumis sativus Collected from Peninsular Malaysia: A Human Health Risk Assessment
- Risk of Nutritional Deficiencies and Changes in Dietary Patterns after Bariatric Surgery
- Improved Energy Valley Optimizer with Levy Flight for Optimization Problems
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