Biospeckle Techniques in Quality Evaluation of Indian Fruits
In this study spatial-temporal speckle correlation techniques have been applied for the quality evaluation of three different Indian fruits namely apple, pear and tomato for the first time. The method is based on the analysis of variations of laser light scattered from biological samples. The results showed that crosscorrelation coefficients of biospeckle patterns change subject to their freshness and the storage conditions. The biospeckle activity was determined by means of the cross-correlation functions of the intensity fluctuations. Significant changes in biospeckle activity were observed during their shelf lives. From the study, it is found that the biospeckle activity decreases with the shelf-life storage time. Further it has been shown that biospeckle activity changes according to their respiration rates.
[1] J.A. Abbott, "Quality measurement of fruits and vegetables",
Postharvest Biol. Technol., vol. 15, pp. 207-225, 1999.
[2] Z. Zude-Sasse, I. Truppel, B. Herold, "An approach to non-destructive
apple fruit chlorophyll determination", Postharvest Biol. Technol,. vol.
25, pp. 12 -133, 2002.
[3] P.E. Zerbini, M. Grassi, R. Cubeddu, A. Pifferi, A. Torricelli, "Timeresolved
reflectance spectroscopy can detect internal defects in pears",
Acta Horticul., vol. 599, pp. 359-365, 2003.
[4] Y. Peng, R. Lu, "Analysis of spatially resolved hyperspectral scattering
images for assessing apple fruit firmness and soluble solids content",
Postharvest Biol. Technol. vol. 48, pp. 52-62, 2008.
[5] F. Firtha, A. Fekete, T. Kaszab, B. Gillay, M. Nogula-Nagy, Z. Kovács,
D.B. Kantor, "Methods for improving image quality and reducing
data load of NIR hyperspectral images", Sensors. vol. 8, pp. 3287-
3298, 2008.
[6] Z. Qing, B. Ji, M. Zude, "Predicting soluble solid content and firmness
in apple fruit by means of laser light backscattering image analysis", J.
Food Eng., vol. 82, pp. 58- 67, 2007.
[7] L. Baranyai, M. Zude, "Analysis of laser light propagation in kiwifruit
using backscattering imaging and Monte Carlo simulation", Comput.
Electron Agr. Vol. 69, pp. 33-39, 2009.
[8] W.B. Herppich, "Application Potential of Chlorophyll Fluorescence
Imaging Analysis in Horticultural Research (Proceedings of the 6th
International Symposium)," Fruit, Nut and Vegetable Production
Engineering, Potsdam, Germany, September, 2001, pp. 609-614.
[9] W.B. Herppich, M. Linke, S. Landahl, A. Gzik, "Preharvest and
postharvest responses of radish to reduced water supply during growth,"
Acta Horticult., vol. 553 pp. 89-90, 2001.
[10] E. Bauriegel, A. Giebel, W.B. Herppich. "Hyperspectral and chlorophyll
fluorescence imaging to analyse the impact of Fusarium culmorum on
the photosynthetic integrity of infected wheat ears," Sensors., vol. 11
pp. 3765- 3779, 2011.
[11] B.M. Nicolai, K. Beullens, E. Bobelyn, A. Peirs, W. Saeys, K.I. Theron,
J. Lammertyna. "Nondestructive measurement of fruit and vegetable
quality by means of NIR spectroscopy," A review. Postharvest Biol.
Technol., vol. 46, pp. 99-118, 2007.
[12] R.A. Braga, L. Dupuy, M. Pasqual, R.R. Cardosos. "Live biospeckle
laser imaging of root tissues," Eur. Biophys. J., vol. 38, pp. 679-686,
2009.
[13] R. A. Braga JR, W. Silva, T. Safadi, and C. Nobre, "Time history
speckle pattern under statistical view. Optics Communications., vol. 281
pp. 2443-2448, 2008.
[14] G.G. Romero, C.C. Martinez , E.E. Alanis, G.A. Salazar , V.G. Broglia ,
L. Alvarez, "Bio-speckle activity applied to the assessment of tomato
fruit ripening," biosystems engineering., vol. 103, pp. 116-119, 2009.
[15] A. Zdunek, and J. Cybulska, "Relation of Biospeckle Activity with
Quality Attributes of Apples," Sensors., vol. 11, pp. 6317-6327, 2011.
[16] J.D. Briers, A.F. Fercher. "Retinal blood-flow visualization by means of
laser speckle photography," Investig. Ophthalmol., Vis. Sci. vol. 22,
pp. 255-259, 1982.
[17] R.A. Braga, I.M. F.M. DalFabbro, Borem, G. Rabelo, R. Arizaga, H.J.
Rabal, M. Trivi, "Assessment of seed viability by laser speckle
techniques," Biosyst. Eng., Vol. 86 pp. 287-294, 2003.
[18] G.H. Sendra, R. Arizaga, H.J. Rabal, M. Trivi. "Decomposition of
biospeckle images in temporary spectral bands," Opt. Lett., vol. 30,
pp. 1641-1643, 2005.
[19] J.A. Pomarico, H.O. DiRocco, L. Alvarez, C. Lanusse, L. Mottier, C.
Saumell, R. Arizaga, H.J. Rabal, M. Trivi. "Speckle interferometry
applied to pharmacodynamic studies: Evaluation of parasite motility,"
Eur. Biophys. J., vol. 33, pp. 694-699, 2004.
[20] R.A. Braga, G.F. Rabelo, L.R. Granato, E.F. Santos, J.C. Machado, R.
Arizaga, H.J. Rabal, M. Trivi. "Detection of fungi in beans by the laser
biospeckle technique," Biosyst. Eng., vol. 91, pp. 465-469, 2005.
[21] M. Pajuelo, G. Baldwin, H.J. Rabal, N. Cap, R. Arizaga, M. Trivi. "Biospeckle
assessment of bruising in fruits," Opt. Lasers Eng., vol. 40, pp.
13-24, 2003.
[22] Y. Tao, and Z. Wen, "Machine vision techniques for defect inspection
on fruit packing lines," Advances in Bioprocessing Engineering. World
Sci. Publ. Co. Ltd (2002).
[23] M. Sjödahl. "Some recent advances in electronic speckle photography,"
Opt. Laser Eng., vol. 29, pp. 125-144, 1998.
[24] A. Zdunek, L.I. Muravsky, L. Frankevych and K. Konstankiewicz,
"New nondestructive method based on spatial-temporal speckle
correlation technique for evaluation of apples quality during shelf-life,"
Int. Agrophysics, vol. 21, pp. 305-310, 2007.
[25] I.J. Warrington, T.A. Fulton, E.A. Halligan, H.N. de Silva, "Apple fruit
growth and maturity affected by early season temperatures," J. Amer.
Soc. Hort. Sci. vol. 124, pp. 468-477, 1999.
[26] M.K. Ernst, G. Matitschka, N.J. Chatterton, P.A. Harrison, "A
quantitative histochemical procedure for measurement of starch in apple
fruit," Histochem. J., vol. 31, pp. 705-710, 1999.
[27] D.G. Stevenson, P.A. Domoto, J. Jane, "Structures and functional
properties of apple (Malus domestica Borkh) fruit starch," Carbohydr.
Polym., vol. 63, pp. 432-441, 2006.
[28] G.G. Romero, C.C. Martinez, E.E. Alanis, G.A. Salazar, V.G. Broglia,
L. Alvarez. "Bio-speckle activity applied to the assessment of tomato
fruit ripening," Biosyst. Eng. Vol. 103, pp. 116-119, 2009.
[29] J.B. Biale, R.E. Young, "Respiration and ripening in fruits - retrospect
and prospect," In: J. Friend and M.J.C. Rhodes (eds) Recent Advances
in the Biochemistry of Fruits and Vegetables; Acad. Press; NY, 1981,
pp. 1-39.
[1] J.A. Abbott, "Quality measurement of fruits and vegetables",
Postharvest Biol. Technol., vol. 15, pp. 207-225, 1999.
[2] Z. Zude-Sasse, I. Truppel, B. Herold, "An approach to non-destructive
apple fruit chlorophyll determination", Postharvest Biol. Technol,. vol.
25, pp. 12 -133, 2002.
[3] P.E. Zerbini, M. Grassi, R. Cubeddu, A. Pifferi, A. Torricelli, "Timeresolved
reflectance spectroscopy can detect internal defects in pears",
Acta Horticul., vol. 599, pp. 359-365, 2003.
[4] Y. Peng, R. Lu, "Analysis of spatially resolved hyperspectral scattering
images for assessing apple fruit firmness and soluble solids content",
Postharvest Biol. Technol. vol. 48, pp. 52-62, 2008.
[5] F. Firtha, A. Fekete, T. Kaszab, B. Gillay, M. Nogula-Nagy, Z. Kovács,
D.B. Kantor, "Methods for improving image quality and reducing
data load of NIR hyperspectral images", Sensors. vol. 8, pp. 3287-
3298, 2008.
[6] Z. Qing, B. Ji, M. Zude, "Predicting soluble solid content and firmness
in apple fruit by means of laser light backscattering image analysis", J.
Food Eng., vol. 82, pp. 58- 67, 2007.
[7] L. Baranyai, M. Zude, "Analysis of laser light propagation in kiwifruit
using backscattering imaging and Monte Carlo simulation", Comput.
Electron Agr. Vol. 69, pp. 33-39, 2009.
[8] W.B. Herppich, "Application Potential of Chlorophyll Fluorescence
Imaging Analysis in Horticultural Research (Proceedings of the 6th
International Symposium)," Fruit, Nut and Vegetable Production
Engineering, Potsdam, Germany, September, 2001, pp. 609-614.
[9] W.B. Herppich, M. Linke, S. Landahl, A. Gzik, "Preharvest and
postharvest responses of radish to reduced water supply during growth,"
Acta Horticult., vol. 553 pp. 89-90, 2001.
[10] E. Bauriegel, A. Giebel, W.B. Herppich. "Hyperspectral and chlorophyll
fluorescence imaging to analyse the impact of Fusarium culmorum on
the photosynthetic integrity of infected wheat ears," Sensors., vol. 11
pp. 3765- 3779, 2011.
[11] B.M. Nicolai, K. Beullens, E. Bobelyn, A. Peirs, W. Saeys, K.I. Theron,
J. Lammertyna. "Nondestructive measurement of fruit and vegetable
quality by means of NIR spectroscopy," A review. Postharvest Biol.
Technol., vol. 46, pp. 99-118, 2007.
[12] R.A. Braga, L. Dupuy, M. Pasqual, R.R. Cardosos. "Live biospeckle
laser imaging of root tissues," Eur. Biophys. J., vol. 38, pp. 679-686,
2009.
[13] R. A. Braga JR, W. Silva, T. Safadi, and C. Nobre, "Time history
speckle pattern under statistical view. Optics Communications., vol. 281
pp. 2443-2448, 2008.
[14] G.G. Romero, C.C. Martinez , E.E. Alanis, G.A. Salazar , V.G. Broglia ,
L. Alvarez, "Bio-speckle activity applied to the assessment of tomato
fruit ripening," biosystems engineering., vol. 103, pp. 116-119, 2009.
[15] A. Zdunek, and J. Cybulska, "Relation of Biospeckle Activity with
Quality Attributes of Apples," Sensors., vol. 11, pp. 6317-6327, 2011.
[16] J.D. Briers, A.F. Fercher. "Retinal blood-flow visualization by means of
laser speckle photography," Investig. Ophthalmol., Vis. Sci. vol. 22,
pp. 255-259, 1982.
[17] R.A. Braga, I.M. F.M. DalFabbro, Borem, G. Rabelo, R. Arizaga, H.J.
Rabal, M. Trivi, "Assessment of seed viability by laser speckle
techniques," Biosyst. Eng., Vol. 86 pp. 287-294, 2003.
[18] G.H. Sendra, R. Arizaga, H.J. Rabal, M. Trivi. "Decomposition of
biospeckle images in temporary spectral bands," Opt. Lett., vol. 30,
pp. 1641-1643, 2005.
[19] J.A. Pomarico, H.O. DiRocco, L. Alvarez, C. Lanusse, L. Mottier, C.
Saumell, R. Arizaga, H.J. Rabal, M. Trivi. "Speckle interferometry
applied to pharmacodynamic studies: Evaluation of parasite motility,"
Eur. Biophys. J., vol. 33, pp. 694-699, 2004.
[20] R.A. Braga, G.F. Rabelo, L.R. Granato, E.F. Santos, J.C. Machado, R.
Arizaga, H.J. Rabal, M. Trivi. "Detection of fungi in beans by the laser
biospeckle technique," Biosyst. Eng., vol. 91, pp. 465-469, 2005.
[21] M. Pajuelo, G. Baldwin, H.J. Rabal, N. Cap, R. Arizaga, M. Trivi. "Biospeckle
assessment of bruising in fruits," Opt. Lasers Eng., vol. 40, pp.
13-24, 2003.
[22] Y. Tao, and Z. Wen, "Machine vision techniques for defect inspection
on fruit packing lines," Advances in Bioprocessing Engineering. World
Sci. Publ. Co. Ltd (2002).
[23] M. Sjödahl. "Some recent advances in electronic speckle photography,"
Opt. Laser Eng., vol. 29, pp. 125-144, 1998.
[24] A. Zdunek, L.I. Muravsky, L. Frankevych and K. Konstankiewicz,
"New nondestructive method based on spatial-temporal speckle
correlation technique for evaluation of apples quality during shelf-life,"
Int. Agrophysics, vol. 21, pp. 305-310, 2007.
[25] I.J. Warrington, T.A. Fulton, E.A. Halligan, H.N. de Silva, "Apple fruit
growth and maturity affected by early season temperatures," J. Amer.
Soc. Hort. Sci. vol. 124, pp. 468-477, 1999.
[26] M.K. Ernst, G. Matitschka, N.J. Chatterton, P.A. Harrison, "A
quantitative histochemical procedure for measurement of starch in apple
fruit," Histochem. J., vol. 31, pp. 705-710, 1999.
[27] D.G. Stevenson, P.A. Domoto, J. Jane, "Structures and functional
properties of apple (Malus domestica Borkh) fruit starch," Carbohydr.
Polym., vol. 63, pp. 432-441, 2006.
[28] G.G. Romero, C.C. Martinez, E.E. Alanis, G.A. Salazar, V.G. Broglia,
L. Alvarez. "Bio-speckle activity applied to the assessment of tomato
fruit ripening," Biosyst. Eng. Vol. 103, pp. 116-119, 2009.
[29] J.B. Biale, R.E. Young, "Respiration and ripening in fruits - retrospect
and prospect," In: J. Friend and M.J.C. Rhodes (eds) Recent Advances
in the Biochemistry of Fruits and Vegetables; Acad. Press; NY, 1981,
pp. 1-39.
@article{"International Journal of Biological, Life and Agricultural Sciences:49252", author = "MD Zaheer Ansari and A.K. Nirala", title = "Biospeckle Techniques in Quality Evaluation of Indian Fruits", abstract = "In this study spatial-temporal speckle correlation techniques have been applied for the quality evaluation of three different Indian fruits namely apple, pear and tomato for the first time. The method is based on the analysis of variations of laser light scattered from biological samples. The results showed that crosscorrelation coefficients of biospeckle patterns change subject to their freshness and the storage conditions. The biospeckle activity was determined by means of the cross-correlation functions of the intensity fluctuations. Significant changes in biospeckle activity were observed during their shelf lives. From the study, it is found that the biospeckle activity decreases with the shelf-life storage time. Further it has been shown that biospeckle activity changes according to their respiration rates.
", keywords = "Biospeckle, cross-correlation, respiration, shelf-life.", volume = "6", number = "11", pages = "972-5", }
