Use of electronic nose and trained sensory panel in the evaluation of tomato quality

Journal of the Science of Food and Agriculture

Volumn 80, Issue 1, 2000, Pages 63-71

  Sinesio, Fiorella ^a   Di Natale, Corrado ^b   Quaglia, Giovanni B ^a   Bucarelli, Francesco M ^a   Moneta, Elisabetta ^a   Macagnano, Antonella ^b   Paolesse, Roberto ^b   D'Amico, Arnaldo ^b  

^a ISTITUTO NAZIONALE DELLA NUTRIZIONE   (Italy)

^b UNIVERSITY OF ROME TOR VERGATA   (Italy)

Author keywords

Data analysis; Electronic nose; Food quality; Neural networks; Sensory analysis; Tomatoes

Indexed keywords

ARTIFICIAL NEURAL NETWORK; DEGRADATION; ELECTRONIC NOSE; FOOD QUALITY; GAS; INTERMETHOD COMPARISON; MULTIVARIATE ANALYSIS; SENSOR; TOMATO; TRAINED SENSORY PANEL;

EID: 0033969984     PISSN: 00225142     EISSN: None     Source Type: Journal    
DOI: 10.1002/(SICI)1097-0010(20000101)80:1<63::AID-JSFA479>3.0.CO;2-8     Document Type: Article

References (19)

1. Kress-Rogers E, Handbook of Biosensors and Electronic Nose, CRC Press, Boca Raton, FL (1996).
2. Bartlett PN, Elliott JM and Gardner JW, Electronic noses and their application in the food industry. Food Technol 51:44-48 (1997).
3. Di Natale C, Macagnano A, D'Amico A and Davide F, Electronic nose modelling and data analysis by self organizing neural networks. Meas Sci Technol 8:1236-1243 (1997).
4. Porretta S, Composition of commercial tomato pulp and its relationship to some typical sensory characteristics. J Food Compos Anal 6:185-194 (1993).
5. Cairncross SE and Sjöström LB, Flavour profiles: a new approach to flavour problems. Food Technol 4:308-311 (1958).
6. Stone H, Sidel J, Oliver S, Woolsey A and Singleton RC, Sensory evaluation by quantitative descriptive analysis. Food Technol 28:24-34 (1974).
7. Brandt MA, Skinner EZ and Coleman JA, Texture profile method. J Food Sci 28:404-410 (1963).
8. Kohonen T, Self Organizing Map, Springer, Berlin (1995).
9. Di Natale C and D'Amico A, Modelling and data analysis of multisensor systems with the self organizing map. Proc First Int Workshop on Self Organizing Map (WSMO 97). Espoo, June (1997).
10. Brunink JAJ, Di Natale C, Bungaro F, Davide F, D'Amico A, Paolesse R, Boschi T, Faccio M and Ferri G, The application of metalloporphyrins as coating material for GMB based chemical sensors. Anal Chim Acta 325:53-64 (1996).
11. Di Natale C, Brunink JAJ, Bungaro F, Davide F, D'Amico A, Paolesse R, Boschi T, Faccio M and Ferri G, Recognition of fish storage time by a metallophorphyrins coated QMB sensor array. Meas Sci Technol 7:1103-1114 (1996).
12. Di Natale C, Brunink JAJ, Bungaro F, Davide F, D'Amico A, Paolesse R, Boschi T, Faccio M and Ferri G, Metalloporphyrin coated quartz micro balance sensor for amine detection. In Proceedings of the 2nd East Asia Conference on Chemical Sensors, International Academic Publishers, Beijing, pp 46-50 (1995).
13. SPSS, Base System User's Guide, SPSS (1991).
14. Arnold GM and Williams AA, The use of generalized Procrustes analysis. In Statistical Procedures in Food Research, Ed by Piggott JR, Elsevier Applied Science, London, pp 233-254 (1986).
15. Gower JC, Generalised Procrustes analysis. Psychometrika 40:33-51 (1975).
16. Dijksterhuis G, Procrustes analysis in sensory research. In Multivariate Analysis of Data in Sensory Science, Ed by Noes T and Risvik E, Elsevier Science, Amsterdam, pp 185-219 (1996).
17. OP&P, Procrustes for Windows, Loiemans Punter and Partners, Utrecht (1995).
18. Di Natale C, Macagnano A, Davide F, D'Amico A, Paolesse R, Boschi T, Faccio M and Ferri G, An electronic nose for food analysis. Sens Actua B 44:521-526 (1997).
19. Göppert J, Speckmann H, Rosenstiel W, Kessler W, Kraus G and Gauglitz G, Evaluation of spectra in chemistry and physics with Kohonen's self organizing feature map. Proc Neuro Nimes 92, Nanterre, November, pp 405-416 (1992).