A5079484746- Analytical Chemistry and Chromatography
- Advanced Chemical Sensor Technologies
- Spectroscopy and Chemometric Analyses
- Metabolomics and Mass Spectrometry Studies
- Essential Oils and Antimicrobial Activity
- Biofuel production and bioconversion
- Analytical Methods in Pharmaceuticals
- Biosensors and Analytical Detection
- Analytical Chemistry and Sensors
- Chromatography in Natural Products
- Analytical chemistry methods development
- Indoor Air Quality and Microbial Exposure
- Phytochemicals and Antioxidant Activities
- Microbial Metabolic Engineering and Bioproduction
- Odor and Emission Control Technologies
- Water Quality Monitoring and Analysis
- Computational Drug Discovery Methods
- Chemistry and Chemical Engineering
- Microbial Metabolites in Food Biotechnology
- Chemical and Physical Properties in Aqueous Solutions
University of Tasmania
2018-2023
Universitat de Barcelona
2020
A novel approach for multi-wavelength ultraviolet (UV) absorbance detection has been introduced employing a single board computer (SBC) with field programmable gate array (FPGA), Red Pitaya SBC, to generate separated micro pulses three deep-ultraviolet light-emitting diodes (DUV-LEDs), λmax = 235, 250, and 280 nm, along data acquisition processing via custom-made program. The pulse set generation were synchronized using the SBC. outputs of pulsing DUV-LEDs combined transmitted flow cell...
This work provides the p<italic>K</italic><sub>a</sub>at biorelevant temperature of 37 °C for a set compounds proposed as internal standards standard capillary electrophoresis method. The method is applied to p<italic>K</italic><sub>a</sub>determination polyprotic drugs.
Utilising a smartphone-based miniaturized Raman spectrometer and machine learning for the fast identification discrimination of adulterated essential oils.
Generation of specific xylooligosaccharides (XOS) is attractive to the pharmaceutical and food industries due importance their structure upon application. This study used chemometrics develop a comprehensive computational modelling set predict parameters maximising generation desired XOS during enzymatic hydrolysis. The evaluated included pH, temperature, substrate concentration, enzyme dosage reaction time. A Box-Behnken design was combined with response surface methodology models....