A5005418951- Spectroscopy Techniques in Biomedical and Chemical Research
- Spectroscopy and Chemometric Analyses
- Wastewater Treatment and Nitrogen Removal
- Advanced Chemical Sensor Technologies
- Odor and Emission Control Technologies
- Soil and Water Nutrient Dynamics
- Optical Imaging and Spectroscopy Techniques
- Anaerobic Digestion and Biogas Production
- Vehicle emissions and performance
- Fermentation and Sensory Analysis
- Photoacoustic and Ultrasonic Imaging
- Phosphorus and nutrient management
- Soil Carbon and Nitrogen Dynamics
- Proteins in Food Systems
- Biosensors and Analytical Detection
- Product Development and Customization
- Infrared Thermography in Medicine
- Gold and Silver Nanoparticles Synthesis and Applications
- Carbon Dioxide Capture Technologies
- Orthopedic Infections and Treatments
- Sustainable Agricultural Systems Analysis
- Extracellular vesicles in disease
- Remote-Sensing Image Classification
- Mycorrhizal Fungi and Plant Interactions
- Hops Chemistry and Applications
University of Southern Denmark
2017-2024
NIHR Imperial Biomedical Research Centre
2021-2024
Imperial College London
2021-2024
Università degli Studi della Tuscia
2018
University of Naples Federico II
2018
Extracellular vesicles (EVs) secreted by cancer cells provide an important insight into biology and could be leveraged to enhance diagnostics disease monitoring. This paper details a high-throughput label-free extracellular vesicle analysis approach study fundamental EV biology, toward diagnosis monitoring of in minimally invasive manner with the elimination interpreter bias. We present next generation our single particle automated Raman trapping analysis─SPARTA─system through development...
Raman spectroscopy is a nondestructive and label-free chemical analysis technique, which plays key role in the discovery cycle of various branches science. Nonetheless, progress spectroscopic still impeded by lack software, methodological data standardization, ensuing fragmentation reproducibility workflows thereof. To address these issues, we introduce RamanSPy, an open-source Python package for research analysis. RamanSPy provides comprehensive library tools that supports day-to-day tasks,...
The intrinsic heterogeneity of many nanoformulations is currently challenging to characterize on both the single particle and population level. Therefore, there great opportunity develop advanced techniques describe understand nanomedicine heterogeneity, which will aid translation clinic by informing manufacturing quality control, characterization for regulatory bodies, connecting nanoformulation properties clinical outcomes enable rational design. Here, we present an analytical technique...
Raman spectroscopy is widely used across scientific domains to characterize the chemical composition of samples in a nondestructive, label-free manner. Many applications entail unmixing signals from mixtures molecular species identify individual components present and their proportions, yet conventional methods for chemometrics often struggle with complex mixture scenarios encountered practice. Here, we develop hyperspectral algorithms based on autoencoder neural networks, systematically...
Characterization of lignocellulosic biomass microstructure with chemical specificity and under physiological conditions could provide invaluable insights to our understanding plant tissue development, microstructure, origins recalcitrance, degradation, solubilization. However, most methods currently available are either destructive, not compatible hosting a environment, or introduces exogenous probes, complicating their use for studying changes in mechanisms degradation situ. To address...
Abstract . Ammonia emission reduces the reliability and nitrogen (N) fertilizer efficiency of animal manure mineral fertilizers applied to fields. The loss ammonia atmosphere is frequently compensated for by costly over-application N fertilizers. New technologies reduce are regularly developed, their efficacy needs be tested using accurate methods. To date, a major obstacle many available measurement techniques requirement large plot sizes homogeneous surface characteristics, which...
Raman spectroscopy is a non-destructive and label-free chemical analysis technique, which plays key role in the discovery cycle of various branches science. Nonetheless, progress spectroscopic still impeded by lack software, methodological data standardisation, ensuing fragmentation reproducibility workflows thereof. To address these issues, we introduce RamanSPy, an open-source Python package for research analysis. RamanSPy provides comprehensive library ready-to-use tools analysis,...
Ammonia (NH3) emission from agriculture is an environmental threat and a loss of nitrogen for crop production. Mineral fertilizers manure are significant sources NH3; therefore, abatement technologies have been introduced to mitigate these emissions. The aim this study was demonstrate that low-cost measuring techniques suitable assess NH3 emissions in smaller plots, appropriate test different managements. Two experiments were established quantify urea application multi-plot design with radii...
Raman spectroscopy is widely used across scientific domains to characterize the chemical composition of samples in a non-destructive, label-free manner. Many applications entail unmixing signals from mixtures molecular species identify individual components present and their proportions, yet conventional methods for chemometrics often struggle with complex mixture scenarios encountered practice. Here, we develop hyperspectral algorithms based on autoencoder neural networks, systematically...
Unsupervised estimation of the dimensionality hyperspectral microspectroscopy datasets containing pure and mixed spectral features, extraction their representative endmember spectra, remains a challenge in biochemical data mining. We report new versatile algorithm building on semi-nonnegativity constrained self-modeling curve resolution information entropy, to estimate quantity separable species from microspectroscopy, spectra. The is benchmarked with established methods satellite remote...