Spatial variability of soluble solids or dry-matter content within individual fruits, bulbs, or tubers: Implications for the development and use of NIR spectrometric techniques

HortScience

Volumn 34, Issue 1, 1999, Pages 114-118

  Peiris, K H S ^a   Dull, G G ^a   Leffler, R G ^a   Kays, S J ^a  

^a UNIVERSITY OF GEORGIA   (United States)

Author keywords

Allium cepa; Ananas comosus; Citrus paradisi; Citrus sinensis; Constituent variability; Cucumis melo; Lycopersicon esculentum; Malus xdomestica; Mangifera indica; NIR calibration equations; Nondestructive quality evaluation; Prunus persica; Solanum tuberosum

Indexed keywords

ALLIUM CEPA; ANANAS COMOSUS; CITRUS PARADISI; CITRUS SINENSIS; CUCUMIS MELO; LYCOPERSICON ESCULENTUM; MALUS DOMESTICA; MANGIFERA INDICA; PRUNUS PERSICA; SOLANUM TUBEROSUM;

EID: 0032975770     PISSN: 00185345     EISSN: None     Source Type: Journal    
DOI: 10.21273/hortsci.34.1.114     Document Type: Article

References (36)

1. Berry, S.Z., M.R. Uddin, W.A. Gould, A.D. Bisges, and G.D. Dyer. 1988. Stability in fruit yield, soluble solids and citric acid of eight machine-harvested processing tomato cultivars in northern Ohio. J. Amer. Soc. Hort. Sci. 113:604-608.
2. Birth, G.S., G.G. Dull, J.B. Magee, H.T. Chan, and C.G. Cavaletto. 1984. An optical method for estimating papaya maturity. J. Amer. Soc. Hort. Sci. 109:62-66.
3. Birth, G.S., G.G. Dull, W.T. Renfroe, and S.J. Kays. 1985. Nondestructive spectrophotometric determination of dry matter in onions. J. Amer. Soc. Hort. Sci. 110:297-303.
4. Borggaard, C. 1994. Modeling non-linear data using neural networks regression in connection with PLS or PCA. Spectroscopy Europe. 6(3):21-27.
5. Caudill, M. 1987. Neural networks primer. Artificial Intelligence Expert 2(12):46-52.
6. Chen, P. and V.R. Nattuvetty. 1980. Light transmittance through a region of an intact fruit. Trans. Amer. Soc. Agr. Eng. 23:519-522.
7. Chen, P. and Z. Sun. 1991. A review of non-destructive methods for quality evaluation and sorting of agricultural products. J. Agr. Eng. Res. 49:85-98.
8. Conwey, J.M., K.H. Norris, and C.E. Bodwell. 1984. A new approach for the estimation of body composition: infrared interactance. Amer. J. Clin. Nutr. 40:1123-1130.
9. Cowe I.A. and J.W. McNicol. 1985. The use of principal components in the analysis of near infrared spectra. Appl. Spectroscopy 39:257-266.
10. Davies, A.C.M. 1994. The year of neural network. Spectroscopy Europe 6(1):27-28.
11. Dull, G.G. 1986. Nondestructive evaluation of quality of stored fruits and vegetables. Food Technol. 40:106-110.
12. Dull, G.G., G.S. Birth, R.G. Leffler. 1989a. Use of near infrared analysis for the nondestructive measurement of dry matter in potatoes. Amer. Potato J. 66:215-225.
13. Dull, G.G., G.S. Birth, D.A. Smittle, and R.G. Leffler. 1989b. Near infrared analysis of soluble solids in intact cantaloupe. J. Food Sci. 54:393-395.
14. Dull, G.G., R.G. Leffler, G.S. Birth, and D.A. Smittle. 1992. Instrument for nondestructive measurement of soluble solids in honeydew melons. Trans. Amer. Soc. Agr. Eng. 35:735-737.
15. Finney, E.E. 1978. Engineering techniques for nondestructive quality evaluation of agricultural products. J. Food Protection. 41:57-62.
16. Frank, I.E., J. Feikema, N. Constantine, and B.R. Kowalski. 1984. Prediction of product quality from spectral data using the partial least squares method. J. Chem. Info. Comput. Sci. 24:20-24.
17. Geladi, P. and B.R. Kowalski. 1986. Partial least-squares regression: A tutorial. Anal. Chim. Acta. 185:1-17.
18. Gunasekaran, S., M.R. Paulsen, and G.C. Shove. 1985. Optical methods for nondestructive quality evaluation of agricultural and biological materials. J. Agr. Eng. Res. 32:209-241.
19. Guthrie, J. and K. Walsh. 1997. Non-invasive assessment of pineapple and mango fruit quality using near infrared spectroscopy. Austral. J. Expt. Agr. 37:253-263.
20. Hruschka, W.R. 1987. Data analysis: Wavelength selection methods, p. 35-55. In: P. Williams and K. Norris (eds.). Near-infrared technology in the agricultural and food industries. Amer. Assn. Cereal Chem., St. Paul, Minn.
21. Kader, A.A. and F.G. Mitchell. 1989. Maturity and quality, p. 191-196. In: J.H. LaRue and R.S. Johnson (eds.). Peaches, plums and nectarines: Growing and handling for fresh market. Univ. Calif. Div. Agr. Nat. Res. Pub. 3331.
22. Kawano, S., T. Sato, and M. Iwamoto. 1992. Determination of sugars in Sutsuma orange using NIR transmission, p. 387-393. In: I. Murray and I.A. Cowe (eds.). Making light work: Advances in near infrared spectroscopy. VCH, Weinheim, N.Y.
23. Kays, S.J. 1991. Postharvest physiology of perishable plant products. Van Nostrand Reinhold, New York.
24. Lawrence, J. 1994. Introduction to neural networks: Design, theory and applications. California Scientific Software Press, Nevada City, Calif.
25. McClure, W.F. 1994. Near-infrared spectroscopy. p. 13-57. In. R.H. Wilson. (ed.). Spectroscopic techniques for food analysis. VCH, Weinheim, N.Y.
26. McClure, W.F., M. Hana, and J. Sugiyama, 1992. Neural networks in NIR spectroscopy, p. 200-209. In: I. Murray and I.A. Cowe (eds.). Making light work: Advances in near infrared spectroscopy. VCH, Weinheim, N.Y.
27. Northeast Regional Agricultural Engineering Service. 1997. Sensors for nondestructive testing: Measuring the quality of fresh fruits and vegetables. Proc. Intl. Conf. Sensors for Nondestructive Testing: Measuring the Quality of Fresh Fruits and Vegetables. Northeast Reg. Agr. Eng. Serv., Ithaca, N.Y.
28. Osborne, B.G. and T. Fearn. 1986. Near-infrared spectroscopy in food analysis. Wiley, N.Y.
29. Peiris, K.H.S., G.G. Dull, R.G. Leffler, and S.J. Kays. 1997. Nondestructive determination of soluble solids content of peach by near infrared spectroscopy, p. 77-87. In: Proc. Intl. Conf. Sensors for Nondestructive Testing: Measuring the Quality of Fresh Fruits and Vegetables. Northeast Regional Agricultural Engineering Service, Ithaca, N.Y.
30. Scanlon, M.G., M.K. Pritchard, and L.R. Adam. 1997. NIR analysis of dry matter and sugars in whole potato tubers, p. 88-100. In: Proc. Intl. Conf. Sensors for Nondestructive Testing: Measuring the Quality of Fresh Fruits and Vegetables. Northeast Reg. Agr. Eng. Serv., Ithaca, N.Y.
31. Sistrunk, W.A. 1985. Peach quality assessment: Fresh and processed, p. 1-46. In: H.E. Pattee (ed.). Evaluation of quality of fruits and vegetables. AVI, Westport, Conn.
32. Slaughter, D.C. 1995. Nondestructive determination of internal quality in peaches and nectarines. Trans. Amer. Soc. Agr. Eng. 38:617-623.
33. Slaughter, D.C., D. Barrett, and M. Boersig. 1996. Nondestructive determination of soluble solids in tomatoes using near infrared spectroscopy. J. Food Sci. 61:695-697.
34. Stevens, M.A. 1986. Inheritance of tomato fruit quality components. Plant Breeding Rev. 4:273-311.
35. Stevens, M.A., A.A. Kader and M.A. Holton. 1977. Intercullivar variation in composition of locular and pericarp portions of fresh market tomatoes. J. Amer. Soc. Hort. Sci. 102:689-692.
36. Williams, J.W. and W.A. Sistrunk. 1979. Effect of cultivar, irrigation, ethephon and harvest date on the yield and quality of processing tomatoes. J. Amer. Soc. Hort. Sci. 104:435-439.