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Electronic nose and GC–MS analysis of volatile compounds in Tuber magnatum Pico: Evaluation of different storage conditions
Authors:G Pennazza  C Fanali  M Santonico  L Dugo  L Cucchiarini  M Dachà  A D’Amico  R Costa  P Dugo  L Mondello
Affiliation:1. Center for Integrated Research – CIR, Unit of Electronics for Sensor Systems, University Campus Bio-Medico, via Álvaro del Portillo 21, 00128 Rome, Italy;2. Center for Integrated Research – CIR, University “Campus Bio-Medico di Roma”, via Álvaro del Portillo 21, 00128 Rome, Italy;3. Dipartimento di Ingegneria Elettronica, Università di Roma Tor Vergata, Via del Politecnico 1, 00133 Rome, Italy;4. Dipartimento di Scienze Biomolecolari, Università degli Studi di Urbino “Carlo Bo”, Urbino, Italy;5. Dipartimento Farmaco-chimico, University of Messina, viale Annunziata, 98168 Messina, Italy
Abstract:The characteristic aromatic composition of white truffles (Tuber magnatum Pico) determines its culinary and commercial value. However modifications of truffle organoleptic proprieties occur during preservation. A study of headspace of white truffles by using Electronic nose (E-nose), gas chromatography–mass spectrometry (GC–MS) and sensory analyses was performed. Truffles were stored at different conditions for 7 days: +4 and +8 °C wrapped in blotting paper or covered by rice or none of the above. Headspace E-nose measurements and sensory analyses were performed each day. Statistical multivariate analysis of the data showed the capability of E-nose to predict sensorial analysis scores and to monitor aroma profile changes during storage. Truffle’s volatile molecules were also extracted by headspace solid phase microextraction technique and separated and identified by GC–MS. Partial Components Analysis of data was performed. E-nose and GC–MS results were in agreement and showed that truffle storage in paper at +8 °C seemed to be the best storage condition.
Keywords:HS-SPME  headspace solid-phase microextraction  GC&ndash  MS  gas chromatography&ndash  mass spectrometry  GC&ndash  FID  gas chromatography&ndash  flame ionisation detector  E-nose  electronic nose  PCA  Principal Component Analysis  PLS-DA  Partial Least Square-Discriminant Analysis  PCs  Principal Components
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