Non-destructive evaluation of sweet chery (prunus avium L.) ripeness using an electronic nose

Italian Journal of Food Science

Volumn 22, Issue 3, 2010, Pages 298-304

  Benedetti, S ^a   Spinardi, A ^a   Mignani, I ^a   Buratti, S ^a  

^a UNIVERSITY OF MILAN   (Italy)

Author keywords

Cluster analysis; Electronic nose; Fruit ripeness; Linear discriminant analysis; MOS sensors; Principal component analysis; Sweet cherries

Indexed keywords

PRUNUS; PRUNUS AVIUM;

EID: 79953846132     PISSN: 11201770     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (26)

1. Beebe K.R, Pell R.J. and Seasholtz M.B. (Ed.).1998. "Chemometrics, a Practical Guide" John Wiley and Sons, New York, Usa.
2. Benedetti S., Buratti S., Spinardi A., Mannino S. and Magnani I. 2008. Electronic nose as a non-destructive tool to characterise peach cultivars and to monitor their ripening stage during shelf-life. Postharvest Biol. Technol. 47: 181.
3. Boudhrioua N., Giampaoli P. and Bonazzi C. 2003. Changes in aromatic components of banana during ripening and air-drying. Lebensm. Wiss. U. Technol. 36: 633.
4. Brezmes J., Llobet E., Vilanova X., Orts J., Saiz G. and Correig X. 2001. Correlation between electronic nose signals and fruit quality indicators on shelf-life measurements with pinklady apples. Sens. Actuators B 80: 41.
5. Brezmes J., Llobet E., Vilanova X., Saiz G. and Correig X. 2000. Fruit ripeness monitoring using an Electronic Nose. Sens. Actuators B 69: 223.
6. Buratti S., Benedetti S., Spinardi A., Mignani I. and Mannino S. 2007. Electronic nose as a non-destructive tool to evacuate the fruit ripeness and to discriminate among cultivars. Paper presented at 3rd CIGR Section VI International Symposium on Food and Agricultural Products: Processing and Innovations, Naples, Italy, September 24-26.
7. Christensen C.M. 1983. Effect of color on aroma, flavor and texture judgments of food. J. Food Sci. 48: 787.
8. Di Natale C., Macagnano A., Martinelli E., Proietti E., Paolesse R., Castellari L., Campani S. and D'Amico A. 2001a. Electronic nose based investigation of the sensorial properties of peaches and nectarines. Sens. Actuators B 77: 561.
9. Di Natale C., Macagnano A., Martinelli E., Proietti E., Paolesse R., Proietti E. and D'Amico A. 2001b. The evaluation of quality of post-harvest oranges and apples by means of an electronic nose. Sens. Actuators B 78: 26.
10. Gardner J.W. and Bartlett P.N. 1992. Pattern recognition in odour sensing. In "Sensors and Sensory Systems for an Electronic Nose". J.W. Gardner and P.N. Bartlett, Dordrecht (Ed.), pp.161. Kluwer Academic Publishers, Boston, MA, Usa.
11. Gomez A.H., Hu G., Wang J. and Pereira A.G. 2006a. Evaluation of tomato maturity by electronic nose. Comput. Electron. Agric. 54: 44.
12. Gomez A.H., Wang J., Hu G. and Pereira A.G. 2006b. Electronic nose technique potential monitoring mandarin maturity. Sens. Actuators B 113: 347.
13. Gomez A.H., Wang J., Hu G. and Pereira A.G. 2007. Discrimination of storage shelf-life for mandarin by electronic nose technique. Lebensm. Wiss. U. Technol. 40: 681.
14. Gomez A.H., Wang J., Hu G. and Pereira A.G. 2008. Monitoring storage shelf life of tomato using electronic nose technique. J. Food Eng. 85: 625.
15. Ibanez E., Lopez-sebastian S., Ramos E., Tabera J. and Reglero G. 1998. Analysis of volatile fruits components by headspace solid-phase microextraction. Food Chem. 63: 281.
16. Lachlan G.Mc. 1992. "Discriminant Analysis and Statistical Pattern Recognition". New York: Wiley.
17. Lavilla T., Recasens I., Lopez M.L. and Puy J. 2002. Multivariate analysis of maturity stages, including quality and aroma, in "Rojal Glory" peaches and "Big Top" nectarine. J. Sci. Food Agric.82: 1842.
18. Llobet E., Hines E.L., Gardner J.W. and Franco S. 1999. Non-destructive banana ripeness determination using a neural network-based electronic nose. Meas. Sci. Technol. 10: 538.
19. Meloun M., Militky J., Forina M. (Ed.). 1992. "Chemometrics for Analytical Chemistry" Ellis Horwood, New York, Usa.
20. Plutowska B. and Wardencki W. 2007. Aromagrams-Aromatic profile in the appreciation of food quality. Food Chem. 101: 845.
21. Saevels S., Lammertyn J., Berna A.Z., Veraverbeke E.A., Di Natale C. and Nicolai B.M. 2003. Electronic nose as a non-destructive tool to evaluate the optimal harvest date of apple. Postharvest Biol. Technol. 30: 3.
22. Saevels S., Lammertyn J., Berna A.Z., Veraverbeke E.A., Di Natale C. and Nicolai B.M. 2004. An electronic nose and a mass spectrometry-based electronic nose for assessing apple quality during shelf life. Postharvest Biol. Technol. 31: 9.
23. Shaller E., Bosset J.O. and Escher F. 1998. Electronic nose and their application to food. Lebensm.- Wiss. U. Technol. 31: 305.
24. Wang J., Teng B. and Yu Y. 2004. Pear dynamic characteristics and firmness detection. Eur. Food Res. Technol. 218: 289.
25. Zhang H., Wang J. and Ye S. 2008a. Prediction of soluble solid content, firmness and pH of pear by signals of electronic nose sensors. Anal. Chem. Acta 606: 112
26. Zhang H., Chang M., Wang J. and Ye S. 2008b. Evaluation of peach quality indices using an electronic nose by MLR, QPST and BP network. Sens. Actuators B 134: 332.