Different methods able to differenziate between traditional and industrial Balsamic Vinegar of Modena (TBVM and BVM respectively) have been proposed. Most of the techniques have been developed specifically for TBVM. On the contrary BVM is characterized by a significant variability and its quality is usually defined by its compositive and sensory analysis. The aim of this work was to evaluate the potentiality of combined instrumental methods to assess the safety and quality of BVMs. 55 samples of commercial BVM and 9 experimental ones were analyzed with ATR-FTIR spectroscopy, gascromatography-mass spectrometry/solid phase microextraction (GC-MS/SPME), electronic nose and HPLC (with DAD and RI detectors). The multivariate statistical analysis of all the instrumental data enabled the discrimination and classification of the different samples on the basis of quality parameters. The data obtained evidenced the influence of raw materials and processing parameters on the safety and quality of final products. The results suggest new criteria for BVMs characterization and consequently for their differentiation according to their quality.
Combined use of FTIR spectroscopy, GC-MS/SPME and Electronic Nose for the evaluation of safety and quality of Balsamic Vinegar of Modena
NDAGIJIMANA, MAURICE;VANNINI, LUCIA;SARACINO, PASQUALE;VALLICELLI, MELANIA;PATRIGNANI, FRANCESCA;LANCIOTTI, ROSALBA;GUERZONI, MARIA ELISABETTA
2005
Abstract
Different methods able to differenziate between traditional and industrial Balsamic Vinegar of Modena (TBVM and BVM respectively) have been proposed. Most of the techniques have been developed specifically for TBVM. On the contrary BVM is characterized by a significant variability and its quality is usually defined by its compositive and sensory analysis. The aim of this work was to evaluate the potentiality of combined instrumental methods to assess the safety and quality of BVMs. 55 samples of commercial BVM and 9 experimental ones were analyzed with ATR-FTIR spectroscopy, gascromatography-mass spectrometry/solid phase microextraction (GC-MS/SPME), electronic nose and HPLC (with DAD and RI detectors). The multivariate statistical analysis of all the instrumental data enabled the discrimination and classification of the different samples on the basis of quality parameters. The data obtained evidenced the influence of raw materials and processing parameters on the safety and quality of final products. The results suggest new criteria for BVMs characterization and consequently for their differentiation according to their quality.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
