Bioactivity evaluation and freshness identification of cantaloupe fruit (Cucumis melo L. var. cantaloupensis) using biospeckle method


  • auttapon sripradit Burapha university


Speckle, bioactivity, cantaloupe, freshness


Biospeckle can be used as a method for analysis the activity of biological materials illuminated with laser beam. Physically, biospeckles are the result of scattering of coherent light on moving particles inside living tissue. Therefore, the aim of this study was to investigate biospeckle activity and determine the degree of ripeness of cantaloupe fruit using observation of its dynamic speckle pattern. The speckle pattern of laser light scattered in cantaloupe fruits were measured through their quantification. For the quantification of the variation by biospeckle, two different methods of image analysis were used: moment of inertia and profiles of time history speckle pattern (THSP) which contains data of time information of dynamic speckle. Furthermore, the result of measurement of the dynamic speckle varies for fruits as their quality decrease, and the values change with the position of images.


Download data is not yet available.


Abou Nader, C., Tualle, J.M., Tinet, E. and Ettori, D. 2019. A new insight into biospeckle activity in apple tissues. Sensors (Basel). 19(3): 497-507.

Ansari, S.A. and Al-Shaeri, M. 2019. Biotechnological application of surface modified cerium oxide nanoparticles. Brazilian Journal of Chemical Engineering. 36(01): 109-115.

Arizaga, R., Trivi, M. R. and Rabal, H. J. 1999. Speckle time evolution characterization by coocurrence matrix analysis. Optics & Laser Technology. 5(3): 1-7.

Cornuault, V., Pose, S. and Knox, P. 2018. Extraction, texture analysis and polysaccharide epitope mapping data of sequential extracts of strawberry, apple, tomato and aubergine fruit parenchyma. Data in Brief. 17(3): 314-320.

Figueira, F., Filho, V., Gastoni, W. and Carlos, D. 2013. Carbon isotope analysis in apple nectar beverages. Journal of Food Science and Technology. 33(1): 32-37.

Postnov, D.D., Tang, J., Erdener, S.E., Kilic, K. and Boas, D. 2020. Dynamic light scattering imaging. Science Advances. 6(45): 1-10.

Rabelo, G. F., Braga, R. A., Fabbro, I. M. D., Trivi, M. R., Rabal, H. J. and Arizaga, R. 2005. Laser speckle techniques in quality evaluation of orange fruits. Revista Brasileira de Engenharia Agrícola e Ambiental. 9(4): 570-575.

Romero, G.G., Martinez, C.C., Alanís, E.E., Salazar, G.A., Broglia, V.G. and Álvarez, L. 2009. Bio-speckle activity applied to the assessment of tomato fruit ripening. Biosystems Engineering, 103(1): 116-119.

Shahbazi, F. and Rahmati, S. 2014. Mass modeling of persimmon fruit with some physical characteristics. Agricultural Engineering International: CIGR Journal, 16(1): 289-293.

Taniwaki, M., Tohro, M. and Sakurai, N. 2010. Measurement of ripening speed and determination of the optimum ripeness of melons by a nondestructive acoustic vibration method. Postharvest Biology and Technology. 56(1): 101-103.

Vargas, M.A., Luo, N., Yamaguchi, A. and Kapahi, P. 2010. A role for S6 kinase and serotonin in postmating dietary switch and balance of nutrients in D.melanogaster. Current Biology. 20(11): 1006-1011.

Zdunek, A., Muravsky, L. I. , Frankevych, L. and Konstankiewicz, K. 2007. New non-destructive method based on spatial-temporal speckle correlation technique for evaluation of apples quality during shelf-life. International Agrophysics, 21(3): 305-310.



2021-12-22 — Updated on 2022-01-21


How to Cite

sripradit, auttapon. (2021) 2022. “Bioactivity Evaluation and Freshness Identification of Cantaloupe Fruit (Cucumis Melo L. Var. Cantaloupensis) Using Biospeckle Method”. Food and Applied Bioscience Journal 9 (3):1-11.



Food Processing and Engineering