AIAS FORMER FELLOW
Current position: Postdoc researcher, Department of Biology – Microbiology, Aarhus University, Denmark
During his AIAS-AUFF fellowship, Andrei Kalinichev will be working on the project 'Multiparameter Imaging for Soil Health: Advanced Optode-Driven Approach'
Chemical imaging is a powerful tool for studying complex systems such as soils. Soils release N2O, which contributes to global warming. Chemical microenvironments within the soil, notable O2, NH4+, and H+ levels affect the amount of N2O emissions. However, our understanding of how these factors interact is still lacking. It is crucial to have a tool that can map these parameters in 2D with high spatial and temporal resolutions to develop strategies for reducing N2O emissions. To achieve this, I have proposed a project that integrates optical sensors (optodes), hyperspectral imaging, and machine learning (chemometrics). This project will focus on developing a methodology for the simultaneous and direct imaging of O2, NH4+, and H+ levels.
The goal of the project is to provide farmers and policymakers with the tools to optimize fertilizer use, reduce costs, and ultimately support Europe's mission for healthier soils and lower greenhouse gas emissions.
Project title: 'Multiparameter Imaging for Soil Health: Advanced Optode-Driven Approach'
Area of research: Analytical and Physical Chemistry
Fellowship period: 1 Sep 2024 - 31 Jul 2026
Fellowship type: AIAS-AUFF Fellow
This fellowship has received funding from The Aarhus University Research Foundation (AUFF)
