Classification of impacted blueberries during storage using an electronic nose

Journal of the Science of Food and Agriculture

Volumn 91, Issue 9, 2011, Pages 1722-1727

  Demir, Necla ^a,b   Ferraz, Antonio Carlos O ^c   Sargent, Steven A ^d   Balaban, Murat O ^b,d  

^a The American University in Cairo   (Egypt)

^b UNIVERSITY OF ALASKA FAIRBANKS   (United States)

^c UNIVERSITY OF CAMPINAS   (Brazil)

^d UNIVERSITY OF FLORIDA   (United States)

Author keywords

Fruit; Handling; Impacts; Sorting; Volatiles

Indexed keywords

VOLATILE ORGANIC COMPOUND;

AGRICULTURE; ARTICLE; BLUEBERRY; CHEMISTRY; CLASSIFICATION; ELECTRICAL EQUIPMENT; ELECTRONICS; FOOD ANALYSIS; FOOD HANDLING; FOOD STORAGE; FRUIT; MECHANICAL STRESS; METHODOLOGY; VALIDATION STUDY;

AGRICULTURE; BLUEBERRY PLANT; ELECTRICAL EQUIPMENT AND SUPPLIES; ELECTRONICS; FOOD ANALYSIS; FOOD HANDLING; FOOD STORAGE; FRUIT; STRESS, MECHANICAL; VOLATILE ORGANIC COMPOUNDS;

VACCINIUM; VACCINIUM CORYMBOSUM;

EID: 79958754581     PISSN: 00225142     EISSN: 10970010     Source Type: Journal    
DOI: 10.1002/jsfa.4378     Document Type: Article

References (35)

1. Ferraz ACO, Sargent SA and Fox AJ, Delays to cooling and postharvest quality of fresh, Florida blueberries. Proc Fla State Hort Soc 113: 268-271 (2000).
2. Silva RJP, Estudo de redes neurais artificiais na seleção de frutos [Artificial neural networking in fruit selection]. PhD Dissertation, School of Agricultural Engineering, State University of Campinas (2001).
3. Williamson JG and Lyrene PM, Blueberry varieties for Florida. Document HS967, Horticultural Sciences Department, Florida Cooperative Extension Service, University of Florida/IFAS, Gainesville, FL (2004).
4. McKellar RC, Rupasinghe HPV, Lu X and Knight KP, The electronic nose as a tool for the classification of fruit and grape wines from different Ontario wineries. J Sci Food Agric 85: 2391-2396 (2005).
5. Gardner JW, Electronic nose technology: present and future, in Third International Symposium on Olfaction and Electronic Nose, ed. by Mifsud JC. Alpha MOS, Toulouse, p. 143 (1996).
6. Deisingh AK, Stone DC and Thompson M, Applications of electronic noses and tongues in food analysis. J Food Sci Technol 39: 587-604 (2004).
7. Simon JE, Hetzroni A, Bordelon B, Miles GE and Charles DJ, Electronic sensing of aromatic volatiles for quality sorting of blueberries. J Food Sci 61: 967-969 (1996).
8. Gardner JW and Bartlett PN, Performance definition and standardization of electronic noses. Sensors Actuators B 33: 60-67 (1996).
9. Gardner JW and Hines EL, Pattern analysis techniques, in Handbook of Biosensors and Electronic Noses. Medicine, Food, and Environment, ed. by Kress-Rogers E. CRC Press, Boca Raton, FL, pp. 633-652 (1997).
10. Korel F and Balaban MO, Microbial and sensory assessment of milk with an electronic nose. J Food Sci 67: 758-764 (2002).
11. Chantarachoti J, Oliveira ACM, Himelbloom BH, Crapo CA and Mclachlan DG, Portable electronic nose for detection of spoiling Alaska pink salmon (Oncorhynchus gorbuscha). J Food Sci 71: S414-S421 (2006).
12. Luzuriaga DA, Korel F and Balaban MO, Odor evaluation of shrimp treated with different chemicals with an electronic nose and a sensory panel. J Aquat Food Prod Technol 16: 57-75 (2007).
13. Luzuriaga DA, Application of computer vision and electronic nose technologies for quality assessment of color and aroma of shrimp and salmon. PhD Dissertation, Department of Food Science and Technology, University of Florida, Gainesville, FL (1999).
14. 2 sensors. Sensors Actuators B 10: 229-234 (1993).
15. Li C, Krewer GW, Ji P, Schermd H and Kays SJ, Gas sensor array for blueberry fruit disease detection and classification. Postharv Biol Technol 55: 144-149 (2010).
16. Luzuriaga DA and Balaban MO, Electronic nose volatile evaluation of salmon fillets stored at different temperatures, in Electronic Noses and Sensor Array Based Systems Design and Applications, ed. by Hurst WJ. Technomic Publishing, Lancaster, PA, pp. 177-184 (1999).
17. Newman DJ, Luzuriaga DA and Balaban MO, Volatile and microbiological evaluation of raw tuna: correlation of sensory and e-nose data, in Electronic Noses and Sensor Array Based Systems Design and Applications, ed. by Hurst WJ. Technomic Publishing, Lancaster, PA, pp. 170-176 (1999).
18. Luzuriaga DA and Balaban MO, Evaluation of volatile of decomposition in raw and cooked shrimp: correlation of electronic nose readings, volatile sensory evaluation and ammonia levels, in Electronic Noses and Sensor Array Based Systems Design and Applications, ed. by Hurst WJ. Technomic Publishing, Lancaster, PA, pp. 162-169 (1999).
19. Korel F, Luzuriaga DA and Balaban MO, Objective quality assessment of raw tilapia (Oreochromis niloticus) fillets using electronic nose and machine vision. J Food Sci 66: 1018-1024 (2001).
20. Korel F, Luzuriaga DA and Balaban MO, Microbial, sensory and electronic nose evaluation of pasteurized whole milk, in Electronic Noses and Sensor Array Based Systems Design and Applications, ed. by Hurst WJ. Technomic Publishing, Lancaster, PA, pp. 154-161 (1999).
21. Korel F, Bagdatlioglu N, Balaban MO and Hisil Y, Ground red peppers: capsaicinoids content, Scoville scores, and discrimination by an electronic nose. J Agric Food Chem 50: 3257-3261 (2002).
22. Zhang H, Balaban MO, Portier K and Sims CA, Quantification of spice mixture compositions by electronic nose. Part I. Data analysis using neural networks. J Food Sci 70: E253-E258 (2005).
23. Zhang H, Balaban MO, Portier K and Sims CA, Quantification of spice mixture compositions by electronic nose. Part II. Comparison with GC and sensory methods. J Food Sci 70: E259-E264 (2005).
24. Pereira MEC, Sargent SA and Berry AD, Use of an electronic nose to classify avocado pulp by maturity stage. Proc Fla State Hort Soc 122: 334-337 (2009).
25. Maul F, Sargent SA, Balaban MO, Baldwin EA, Huber DJ and Sims CA, Volatile profiles from ripe tomato fruit are influenced by physiological maturity at harvest: an application for electronic nose technology. J Am Soc Hort Sci 123: 1094-1101 (1998).
26. Maul F, Sargent SA, Sims CA, Baldwin EA, Balaban MO and Huber DJ, Tomato flavor and aroma quality as affected by storage temperature. J Food Sci 65: 1228-1237 (2000).
27. Gomez AH, Wang J, Hu G and Pereira AG, Monitoring storage shelf life of tomato using electronic nose technique. J Food Eng 85: 625-631 (2008).
28. Tamaki K, Tamaki T and Suzuki Y, Deodorisation of off-odour during sweet potato juice production by employing physical and chemical deodorants. Food Chem 105: 454-461 (2007).
29. Parpinello GP, Fabbri A, Domenichelli S, Mesisca V, Cavicchi L and Versari A, Discrimination of apricot cultivars by gas multisensor array using an artificial neural network. Biosyst Eng 97: 371-378 (2007).
30. Gómez AH, Wang J, Hu G and Pereira AG, Discrimination of storage shelf-life for mandarin by electronic nose technique. Food Sci Technol 40: 681-689 (2007).
31. Bhattacharyya N, Seth S, Tudu B, Tamuly P, Jana A, Ghosh D, et al, Monitoring of black tea fermentation process using electronic nose. J Food Eng 80: 1146-1156 (2007).
32. Buratti S, Rizzolo A, Benedetti S and Torreggiani D, Electronic nose to detect strawberry aroma changes during osmotic dehydration. J Food Sci 71: E184-E189 (2006).
33. Williams JP, Duncan SE, Williams RC, Mallikarjunan K, Eigel III WN and O'Keefe SF, Flavor fade in peanuts during short-term storage. J Food Sci 71: S265-S269 (2006).
34. Corcoran P, Electronic odour sensing systems. Electron Commun Eng J 5: 303-308 (1993).
35. Benady M, Simon JE, Charles DJ and Miles GE, Fruit ripeness determination by electronic sensing of aroma volatiles. Trans Am Soc Agric Eng 38: 251-257 (1995).