Nondestructive determination of total and soluble solids in fresh prune using near infrared spectroscopy

Postharvest Biology and Technology

Volumn 28, Issue 3, 2003, Pages 437-444

  Slaughter, D C ^a   Thompson, J F ^a   Tan, E S ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Maturity; Near infrared spectroscopy; Nondestructive; Prunes; Soluble solids; Total solids

Indexed keywords

PRUNUS; PRUNUS DOMESTICA;

EID: 0037680217     PISSN: 09255214     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0925-5214(02)00204-1     Document Type: Article

References (29)

1. AOAC, 1999. AOAC official method 920.151. Solids (total) in fruits and fruit products. In official methods of analysis of AOAC International, sixteenth ed. 5th Revision, (Chapter 37), p. 5.
2. Bailey, C.H., 1912. A Method for the Determination of the Specific Gravity of Wheat and Other Cereals (Circular No. 99). USDA Bureau of Plant Industry, Washington, DC.
3. Bellon, V., Vigneau, J.L., Leclercq, M., 1993. Feasibility and performance of a new, multiplexed, fast and low-cost fiber-optic NIR spectrometer for the on-line measurement of sugar in fruits. Appl. Spectroscopy 47, 1079-1083.
4. Birth, G.S., Dull, G.G., Magee, J.B., Chan, H.T., Cavaletto, C.G., 1984. An optical method for estimating papaya maturity. J. Am. Soc. Hort. Sci. 109, 62-66.
5. Birth, G.S., Dull, G.G., Renfroe, W.T., Kays, S.J., 1985. Nondestructive spectrophotometric determination of dry matter in onions. J. Am. Soc. Hort. Sci. 110, 297-303.
6. Butler, W.L., Norris, K.H., 1958. The spectrophotometry of dense light-scattering material. Plant Physiol. Proc. 33, 8 (Abstract).
7. Chalfant, J.A., James, J.S., Lavoie, N., Sexton, R.J., 1999. Asymmetric grading error and adverse selection: lemons in the California prune industry. J. Agric. Res. Econ. 24, 57-79.
8. Claypool, L.L., Esau, P., Chordis, A., 1974. Chemical characteristics of extracted stonefruit juices as indicators of their sources. J. Am. Soc. Hort. Sci. 99, 193-196.
9. Conway, J.M., Norris, K.H., Bodwell, C.E., 1984. A new approach for the estimation of body composition: infrared interactance. Am. J. Clin. Nutr. 40, 1123-1130.
10. Dull, G.G., Birth, G.S., Leffler, R.G., 1989. Use of near infrared analysis for the nondestructive measurement of dry matter in potatoes. Am. Potato J. 66, 215-225.
11. Dull, G.G., Leffler, R.G., Birth, G.S., Smittle, D.A., 1992. Instrument for nondestructive measurement of soluble solids in honeydew melons. Trans. ASAE 35, 735-737.
12. Guthrie, J., Walsh, K., 1997. Non-invasive assessment of pineapple and mango fruit quality using near infrared spectroscopy. Aust. J. Exp. Agric. 37, 253-263.
13. Kader, A.A., 1981. Quality evaluation and sizing of fresh prunes. In: Ramos, D.E. (Ed.), Prune Orchard Management. DANR Special Publication No. 3269. University of California, Oakland, CA.
14. Kawano, S., Fujiwara, T., Iwamoto, M., 1993. Nondestructive determination of sugar content in satsuma mandarin using near infrared (NIR) transmittance. J. Jap. Soc. Hort. Sci. 62, 465-470.
15. Lammertyn, J., Peirs, A., deBaerdemaeker, J., Nicolai, B., 2000. Light penetration properties of NIR radiation in fruit with respect to non-destructive quality assessment. Postharvest Biol. Technol. 18, 121-132.
16. Martens, H., Naes, T., 1989. Multivariate Calibration. Wiley, New York.
17. Miller, M.W., 1981. Quality fruit maturation in prunes: when to harvest. In: Ramos, D.E. (Ed.), Prune Orchard Management. DANR Special Publication No. 3269. University of California, Oakland, CA.
18. Neter, J., Wasserman, W., Kutner, M.H., 1990. Applied Linear Statistical Models. Irwin Inc, Boston, MA.
19. NSAS. 1990. Manual for Near Infrared Spectral Analysis Software. NIR Systems, Inc. Silver Spring, MD.
20. Savitzky, A., Golay, M.J.E., 1964. Smoothing and differentiation of data by simplified least squares procedures. Anal. Chem. 36, 1627-1638.
21. Schmilovitch, Z., Hoffman, A., Egozi, H., BenZvi, R., Bernstein, Z., Alchanatis, V., 1999. Maturity determination of fresh dates by near infrared spectrometry. J. Sci. Food Agric. 79, 86-90.
22. Slaughter, D.C., 1995. Nondestructive determination of internal quality in peaches and nectarines. Trans. ASAE 38, 617-623.
23. Slaughter, D.C., Barrett, D., Boersig, M., 1996. Nondestructive determination of soluble solids in tomatoes using near infrared spectroscopy. J. Food Sci. 61, 695-697.
24. Slaughter, D.C., Crisosto, C.H., 1998. Nondestructive internal quality assessment of kiwifruit using near-infrared spectroscopy. Semin. Food Anal. 3, 131-140.
25. Steel, R.G.D., Torrie, J.H., 1980. Principles and Procedures of Statistics, second ed., McGraw-Hill, Inc, New York.
26. Thompson, J.F., 1981. Methods of prune dehydration. In: Ramos, D.E. (Ed.), Prune Orchard Management. DANR Special Publication No. 3269. University of California, Oakland, CA.
27. USDA. 1965. United States standards for grades of dried prunes. USDA Processed Products Branch, Fruit and Vegetable Division, AMS. Washington, DC.
28. Williams, P., Norris, K., 1987. Near-Infrared Technology in the Agricultural and Food Industries. American Association of Cereal Chemists, Inc, St. Paul, MN.
29. Worthington, J.T., Massie, D.R., Norris, K.H., 1974. Light transmission technique for predicting ripening time for intact green tomatoes. ASAE Publication 1-76. Quality Detection in Foods, ASAE, St. Joseph, MI, pp. 46-49.