The activity of the Chemometrics, Qualimetrics and Nanosensors Group focuses on two main areas. On the one hand, the Group focuses on the development and application of multivariate data analysis methods to fully exploit measurements from NIR, MIR, UV-Vis and fluorescence spectrophotometry, MS spectrometry, hyphenated techniques (HPLC-DAD, GC-MS,…) and spectral imaging for a variety of applications, ranging from the petrochemical industry to the food industry. The group investigates multivariate representation, classification and calibration methods that allow, for example, real-time analysis of the qualitative and quantitative development of systems (such as certain industrial chemical processes), classify (bio)chemical samples, determine the geographical origin of food products (wine and olive oil), and solve environmental problems.
The research activities on the field of sensors consist of developing chemical and physical sensors with attractive characteristics such as extreme simplicity, robustness, ultralow cost, accessibility and flexibility. These features add to performance parameters of high sensitivity or selectivity, low detection limits or short response time. Recent examples of these sensors are the ultrasensitive and real-time detection of proteins in blood using a potentiometric carbon-nanotube aptasensor, the development of paper-based ion-selective potentiometric sensors or the label-free detection of Staphylococcus aureus in skin using real-time potentiometric biosensors based on carbon nanotubes and aptamers. Also, the group has pioneered the field of wearable potentiometric sensors by developing a modified cotton yarn that can act as a chemical sensor. Currently, the group is working with miniaturized, wireless radiofrequency identification potentiometers. These devices have the size of a credit card and can read, store and wirelessly transmit data.
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