Visualization of sugar content in the flesh of a melon by near-infrared imaging

Journal of Agricultural and Food Chemistry

Volumn 47, Issue 7, 1999, Pages 2715-2718

  Sugiyama, Junichi ^a  

^a NATIONAL FOOD RESEARCH INSTITUTE   (Japan)

Author keywords

CCD camera; Imaging; Melon; Near infrared; NIR; Sugar content

Indexed keywords

CARBOHYDRATE; SUGAR;

ABSORPTION SPECTROSCOPY; ARTICLE; CARBOHYDRATE ANALYSIS; CHEMISTRY; COMPUTER PROGRAM; CUCUMBER; FRUIT; IMAGE PROCESSING; IMAGING; INFRARED SPECTROMETRY; INFRARED SPECTROSCOPY;

CARBOHYDRATES; CUCURBITACEAE; SPECTROSCOPY, NEAR-INFRARED;

EID: 0032821320     PISSN: 00218561     EISSN: None     Source Type: Journal    
DOI: 10.1021/jf981079i     Document Type: Article

References (13)

1. Bertrand, D.; Robert, P.; Novales, B.; Devaux, M. Chemometrics of multichannel imaging. In Near Infrared Spectroscopy: The Future Waves; Davies, A. M. C., Williams, P., Eds.; NIR Publications: Chichester, U.K., 1996; pp 174-178.
2. Fukushima, H. Basics of Image Analysis. In Reikyaku CCD nyuumon; Seibundou Sinkousha: Tokyo, Japan, 1996.
3. Izumi, H.; Ito, T.; Yoshida, Y. Seasonal changes in ascorbic acid, sugar and chlorophyll contents in Sun and shade leaves of Satsuma mandarin and their interrelationships. J. Jpn. Soc. Hortic. Sci. 1990, 59, 389-397.
4. Kawano, S. Present condition of nondestructive quality evaluation of fruits and vegetables in Japan. Jpn. Agric. Res. Q. 1994, 28, 212-216.
5. Kawano, S.; Watanabe, H.; Iwamoto, M. Determination of sugar content in intact peaches by near-infrared spectroscopy with fiber optics in interactance mode. J. Jpn. Soc. Hortic. Sci. 1992, 61, 445-451.
6. Morita, K.; Shiga, T.; Taharazako, S, Evaluation of change in quality of ripening bananas using light reflectance technique. Mem. Fac. Agric. Kagoshima Univ. 1992, 28, 125-134.
7. Nussberger, S.; Dekker, J. P.; Kuhlbrandt, W.; van Bolhuis, B. M.; van Grondelle, R.; van Amerongen, H. Spectroscopic characterization of three different monomeric forms of the main chlorophyll a/b binding protein from chloroplast membranes. Biochmistry 1994, 33, 14775-14783.
8. Osborne, B. G.; Feam, T. Near-infrared data handling and calibration by multiple linear regression. In Near Infrared Spectroscopy in Food Analysis; Longman Scientific & Technical: Harlow, U.K., 1986.
9. Robert, P.; Devaux, M. F.; Bertrand, D. Near-infrared video image analysis. Sci. Aliments 1991, 11, 565-574.
10. Robert, P.; Bertrand, D.; Devaux, M. F.; Sire, A. Identification of chemical sonstituents by multivariate near-infrared spectral imaging. Anal. Chem. 1992, 24, 664-667.
11. SBIG. Product Catalog; SBIG Astronomical Instruments: Santa Barbara, CA, 1998.
12. Taylor, S. K.; McClure, W. F. NIR imaging spectroscopy: measuring the distribution of chemical components. In Proceedings of the 2nd International NIRS Conference; Iwamoto, K., Kawano, S., Eds.; Korin: Tokyo, Japan, 1989; pp 393-404.
13. Watada, A. E.; Norris, K. H.; Worthington, J. T.; Massie, D. R. Estimation of chlorophyll and carotenoid contents of whole tomato by light absorbance technique. J. Food Sci. 1976, 41, 329-332.