EFFECT OF COLD STORAGE ON OPTICAL PROPERTIES OF SOME CITRUS FRUITS | ||||
Misr Journal of Agricultural Engineering | ||||
Article 2, Volume 29, Issue 4, October 2012, Page 1255-1270 PDF (860.09 K) | ||||
Document Type: Original Article | ||||
DOI: 10.21608/mjae.2012.100662 | ||||
![]() | ||||
Author | ||||
A.M. El Shal | ||||
Lecturer, Agric. Eng. Dept., Fac. of Agric., Zagazig Univ., Egypt. | ||||
Abstract | ||||
The objective of this research was to compare the optical properties of some citrus fruits (orange, mandarin and lemon) before and after cold storage over the visible and near-infrared wave region (400–1000 nm). AvaSpec-2048 Standard Fiber Optic Spectrometer was used to acquire spatially resolved diffuse reflectance images from the samples of orange, mandarin and lemon. Seven effective wavelengths (480, 535, 675, 720, 840, 880, 978 nm) were selected to realize hyper-spectral tests. The obtained results show that for flesh and skin of fruits after cold storage, there was not any peak at 675 nm excluding orange skin, this attribute after cold storage fruits become over ripe that there was not chlorophyll content as before storage; cold storage had not any effect on chlorophyll content of orange skin. Results also show that | ||||
Keywords | ||||
Spectrometer; Optical properties; Ripe; Chlorophyll; Cold storage | ||||
References | ||||
Abbott, J. A., R. Lu, B. L. Upchurch and R.L. Stroshine (1997). Technologies for non-destructive quality evaluation of fruits and vegetables. In Horticultural reviews. Technologies for nondestructive quality evaluation of fruits and vegetables (Vol. 20, pp. 1–120). John Wiley, Sons, Inc. ISBN 0-471-18906-5.
Bellon, V., J. L. Vigneau and M. Leclercq (1993). Feasibility and performance of a new, multiplexed, fast and low-cost fiber-optic NIR spectrometer for the online measurement of sugars in fruits. Applied Spectroscopy 47 (7):1079–1083.
Cubeddu, R., C. D’Andrea, A. Pifferi, P. Taroni, A. Torricelli, G. Valentini, C. Dover, D.Johnson, M. Ruiz-Altisent and C. Valero (2001). Nondestructive quantification of chemical and physical properties of fruits by time-resolved reflectance spectroscopy in the wavelength range 650–1000 nm. Applied Optics 40:538–543.
Eccher Zerbini, P., M. Vanoli, A. Rizzolo, S. Jacob, A. Torricelli, L. Spinelli and R.E. Schouten (2009). Time-resolved reflectance spectroscopy as a management tool in the fruit supply chain: an export trial with nectarines. Biosyst. Eng. 102:360– 363.
El Masry, G., N. Wang, C. Vigneault, J. Qiao and A. El Sayed (2008). Early detection of apple bruises on different background colors using hyper-spectral imaging. LWT - Food Science and Technology 41 (2):337-345.
Katayama, K., K. Komaki and S. Tamiya,(1996). Prediction of starch, moisture, and sugar in sweet potato by near infrared transmittance. HortScience, 31 (6):1003–1006.
Li, Q., M. Wang and W. Gu (2002). Computer vision based system for apple surface defect detection. Computers and Electronics in Agriculture 36 (2):215–223.
Liu, Y., Y. R. Chen, C. Y.Wang, D. E. Chan and M. S. Kim (2006). Development of hyper-spectral imaging technique for the detection of chilling injury in cucumbers; spectral and image analysis. Applied Engineering in Agriculture 22 (1):101–111.
Lu, R., D.E. Guyer and R.M. Beaudry (2000). Determination of firmness and sugar content of apple using NIR diffuse reflectance. J. Texture Stud. 31:615– 630.
Lu, R. (2004). Multispectral imaging for predicting firmness and soluble solids content of apple fruit. Postharvest Biology and Technology 31 (1):147–157.
Lu, R. and Y. Peng (2006). Hyper-spectral Imaging for assessing peach fruit firmness. Biosystems Engineering 93 (2):161–171.
Merzlyak, M.N., A.A. Gitelson, O.B. Chivkunova and V.Y. Rakitin (1999). Non- destructive optical detection of pigment changes during leaf senescence and fruit ripening. Physiologia Plantarum 106:135-141.
Merzlyak, M.N., A.E. Solovchenko and A.A. Gitelson (2003). Reflectance spectral features and non-destructive estimation of chlorophyll, carotene and anthocyanin content in apple fruit. Postharvest Biol. Technol. 27:197–211.
Moons, E., P. Dardenne, A. Dubois and M.Sindic (1997). Nondestructive visible and NIR spectroscopy measurement for the determination of apple internal quality. Acta Hort. 517:441–448.
Nagata, M., J. G. Tallada, T. Kobayashi and H. Toyoda (2005). NIR hyper-spectral imaging for measurement of internal quality in strawberries. ASAE meeting, Tampa, Florida, ASAE Paper No. 053131.
Park, B., J. A. Abbott, K. J. Lee, C. H. Choi and K. H. Choi (2003). Near-infrared diffuse reflectance for quantitative and qualitative measurement of soluble solids and firmness of Delicious and Gala apples. Transactions of the ASAE 46 (6):1721–1731.
Peirs, A., N. Scheerlinck , K. Touchant and B. M. Nicolai (2002). Comparison of Fourier transform and dispersive near-infrared reflectance spectroscopy for apple quality measurements. Biosystems Engineering 81 (3):305–311.
Qin, J. and R. Lu (2008). Measurement of the optical properties of fruits and vegetables using spatially resolved hyper-spectral diffuse reflectance imaging technique. Postharvest Biology and Technology 49:355–365.
Seeram, N. P., R. Lee, H. S. Scheuller and D. Heber (2006). Identification of phenolic compounds in strawberries by liquid chromatography electrospray ionization mass spectroscopy. Food Chemistry 97 (1):1–11.
Sugiyama, J.(1999). Visualization of sugar content in the flesh of a melon by near-infrared imaging. J. Agric. Food Chem. 47:2715–2718.
Tijskens, L.M.M., P. Eccher Zerbini, M. Vanoli, S. Jacob and M. Grassi (2006). Effects of maturity on chlorophyll-related absorption in nectarines, measured by nondestructive time-resolved reflectance spectroscopy. Int. J. Postharvest Technol. Innov. 1:178–188.
Tijskens, L.M.M., P. Eccher Zerbini, R.E. Schouten, M. Vanoli, S.Jacob, M. Grassi, R.Cubeddu, L. Spinelli and A.Torricelli (2007). Assessing harvest maturity in nectarines. Postharvest Biol. Technol. 43:204–213.
Zerbini, P. E., M. Grassi, R. Cubeddu, A. Pifferi and A. Torricelli (2005). Nondestructive detection of brown heart in pears by time resolved reflectance spectroscopy. Postharvest Biology and Technology 25:87–97. | ||||
Statistics Article View: 136 PDF Download: 241 |
||||