Application of the Biospeckle Method for Monitoring Bull’s Eye Rot Development and Quality Changes of Apples Subjected to Various Storage Methods—Preliminary Studies

In this study, the biospeckle technique was evaluated for monitoring of apple bull’s eye rot development and product quality in general, during storage under various conditions and during subsequent shelf life. This non-destructive optical method is based on the analysis of laser light variations scattered from the sample. Apples of the cultivars ‘Pinova’ and ‘Topaz’, susceptible to bull’s eye rot, were used in two independent experiments. In the first, apples were non-destructively monitored for five months during cold storage. After that time, 34% of ‘Pinova’ and 21% of ‘Topaz’ apples displayed visible surface lesions. The increase of biospeckle activity was observed during the development of fungal disease. In the second experiment various storage conditions were used and apples were tested during their shelf life by non-destructive and destructive methods. This study showed that biospeckle activity decreased during shelf life, irrespective of storage conditions.

[1]  G. Tribillon,et al.  Biological Activity Measurement on Botanical Specimen Surfaces Using a Temporal Decorrelation Effect of Laser Speckle , 1989 .

[2]  D. Sugar,et al.  Effects of Environmental Factors and Cultural Practices on Bull's Eye Rot of Pear. , 2008, Plant disease.

[3]  Roberto A. Braga,et al.  Detection of fungi in beans by the laser biospeckle technique , 2005 .

[4]  Artur Zdunek,et al.  Relation of biospeckle activity with chlorophyll content in apples , 2012 .

[5]  M. S. Howarth,et al.  Postharvest firmness changes as measured by acoustic and low-mass impact devices: a comparison of techniques , 2006 .

[6]  Технология.  Springer Science+Business Media , 2013 .

[7]  J. D. Briers,et al.  Wavelength dependence of intensity fluctuations in laser speckle patterns from biological specimens , 1975 .

[8]  M. Boccara,et al.  The importance of fungal pectinolytic enzymes in plant invasion, host adaptability and symptom type , 2007, European Journal of Plant Pathology.

[9]  G. G. Romero,et al.  Bio-speckle activity applied to the assessment of tomato fruit ripening , 2009 .

[10]  Roberto A. Braga,et al.  Assessment of Seed Viability by Laser Speckle Techniques , 2003 .

[11]  Leonid I. Muravsky,et al.  New nondestructive method based on spatial-temporal speckle correlation technique for evaluation of apples quality during shelf-life , 2007 .

[12]  Roberto A. Braga,et al.  Live biospeckle laser imaging of root tissues , 2009, European Biophysics Journal.

[13]  T. Roitsch,et al.  Plant physiology meets phytopathology: plant primary metabolism and plant-pathogen interactions. , 2007, Journal of experimental botany.

[14]  C. Lévesque,et al.  Phylogenetic relationships among Neofabraea species causing tree cankers and bull's-eye rot of apple based on DNA sequencing of ITS nuclear rDNA, mitochondrial rDNA, and the β-tubulin gene , 2001 .

[15]  Yang Zhao,et al.  Point-wise and Whole-field Laser Speckle Intensity Fluctuation Measurements Applied to Botanical Specimens , 1997 .

[16]  David Ingram,et al.  Plant pathology in the 21st century , 2011, Food Security.

[17]  Giovanni Francisco Rabelo,et al.  Motility parameters assessment of bovine frozen semen by biospeckle laser (BSL) system. , 2009 .

[18]  Charles Joenathan,et al.  Temporal and spatial properties of the time-varying speckles of botanical specimens , 1995 .

[19]  D. Sugar,et al.  Etiology of Bull's Eye Rot of Pear Caused by Neofabraea spp. in Oregon, Washington, and California. , 2004, Plant disease.

[20]  Artur Zdunek,et al.  Relation of Biospeckle Activity with Quality Attributes of Apples , 2011, Sensors.

[21]  Federico Hahn,et al.  Actual Pathogen Detection: Sensors and Algorithms - a Review , 2009, Algorithms.

[22]  Giovanni Francisco Rabelo,et al.  Laser speckle techniques in quality evaluation of orange fruits , 2005 .

[23]  Zbigniew Ranachowski,et al.  COMPARISON OF PUNCTURE TEST, ACOUSTIC EMISSION AND SPATIAL-TEMPORAL SPECKLE CORRELATION TECHNIQUE AS METHODS FOR APPLE QUALITY EVALUATION * , 2008 .

[24]  J. Robert Cooke,et al.  An Interpretation of the Resonant Behavior of Intact Fruits and Vegetables , 1972 .

[25]  Lucía Isabel Passoni,et al.  Dynamic laser speckle to detect motile bacterial response of Pseudomonas aeruginosa , 2007 .

[26]  Héctor Rabal,et al.  Bio-speckle assessment of bruising in fruits , 2003 .

[27]  Francesco Favaron,et al.  Pectin-degrading enzymes and plant-parasite interactions , 1995, European Journal of Plant Pathology.