- Spectroscopy and Chemometric Analyses
- Identification and Quantification in Food
- Advanced Chemical Sensor Technologies
- Listeria monocytogenes in Food Safety
- Microbial Inactivation Methods
- Edible Oils Quality and Analysis
- Advanced biosensing and bioanalysis techniques
- Melamine detection and toxicity
- Micro and Nano Robotics
- Horticultural and Viticultural Research
- Analytical Chemistry and Sensors
- Biosensors and Analytical Detection
- Food Quality and Safety Studies
- GABA and Rice Research
- Gold and Silver Nanoparticles Synthesis and Applications
- Fermentation and Sensory Analysis
- Molecular Junctions and Nanostructures
- Coffee research and impacts
- Meat and Animal Product Quality
- Food composition and properties
- Pickering emulsions and particle stabilization
- Electrochemical sensors and biosensors
Universidad Complutense de Madrid
2020-2023
Faculty (United Kingdom)
2020
A novel multi-stimuli responsive Janus nanomachine with enzymatic control for dual and sequential release of two different payloads was developed.
In order to develop a detection system monitor potential adulteration of gluten-free beer, method involving the use residual convolutional neural network (specifically, ResNet50 based on transfer learning) has been developed classify images different beer samples containing varying trace-level amounts gluten. As strict regulation regarding foods is common, this deep learning-based tool can help food sector while protecting consumers. A total 4,000 photographs were taken at two shutter speeds...