omics and biosensors

BIOSENSORS
Design of electrochemical and colorimetric biosensors on paper-based, flexible and waste-derived materials. Merging nanomaterials with biological and biomimetic recognition elements, such as enzymes, nucleic acids and aptamers, allows designing and applying microfabricated devices for the continuous and timely monitoring of relevant species in pharmaceutical, clinical, environmental and food fields.
 
Research groups: 
  • Uninanobiosensors

 

Logo Uninabiosensors

 

The activities are focused on the design, development and characterization of miniaturized analytical devices for the decentralized testing of samples in the clinical, pharmaceutical, environmental, agri-food and cosmetic fields. Thanks to a multidisciplinary approach represented by microfabrication, use of paper materials, nanomaterials, biological elements and biomimetic probes, it is possible to design electrochemical and colorimetric platforms to quantify ions, small molecules, proteins, nucleic acids, pollutants etc., quickly and economically.

Research Team:

CINTI Stefano

 

METABOLOMICS

Study of the changes occurring in the whole ensemble of metabolites (amino acids, lipids, sugars, nucleotides) of a biological system in response to external stimuli, such as pharmacological treatments and/or the presence of pathologies, in order to identify biomarkers useful in the diagnosis of diseases, to predict the response to a treatment and to identify new drug targets. The experimental approach involves the study of the metabolome of tissues, cells and organs using nuclear magnetic resonance and mass spectrometry.
 
Research Groups
  • OmicLab

The research group is focused on GC-MS and NMR-based metabolomics studies on biological samples (biofluids, cell extracts, tissues, and organs) and food matrices to unveil the effects induced by external stimuli on the biochemical pathways of the investigated system.
Such complex omics datasets are analyzed by employing advanced chemometric tools such as Principal Component Analysis, Partial Least Square-Discriminant Analysis, ANOVA-Simultaneous Component Analysis, and Multivariate Curve Resolution.

Research Team:

RANDAZZO Antonio

AMATO Jussara

PAGANO Bruno

IACCARINO Nunzia