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A New Insight into Biospeckle Activity in Apple Tissues
Christelle Abou Nader1, Jean-Michel Tualle2, Eric Tinet
1Laboratoire de Physique des Lasers, CNRS UMR 7538, Institut Galilée, Université Paris 13, 99 Av. J. B. Clément, F-93430 Villetaneuse, France. abounaderchristelle@gmail.com.
Biospeckle activity analysis offers a novel method for assessing fruit quality. This study demonstrates its effectiveness in correlating apple firmness and soluble solids, even with unknown storage history.
Area of Science:
- Agricultural Science
- Biophysics
- Food Science
Background:
- Monitoring agricultural products during ripening and storage is crucial for quality assessment.
- Biospeckle activity analysis, using coherent light and speckle pattern fluctuations, shows promise for evaluating physiological changes in fruits.
- Previous research indicates a strong correlation between biospeckle activity and conventional fruit quality metrics.
Purpose of the Study:
- To investigate biospeckle activity in Gala apples during postharvest stages under realistic, uncontrolled storage conditions.
- To explore the potential of biospeckle analysis for shelf-life monitoring of fruits with unknown histories.
- To establish correlations between biospeckle parameters and key fruit quality indicators.
Main Methods:
- Acquisition of scattering spot images of Gala apples using a simple optical setup with multiple exposure times.
- Computation of contrast, representing biospeckle activity, after removing inhomogeneous areas from the images.
- Analysis of speckle intensity fluctuations and their correlation with fruit physiological properties.
Main Results:
- Demonstration of measurable biospeckle activity at short time scales in postharvest apples.
- Significant correlations were found between computed speckle parameters and the firmness-to-soluble solids ratio of apples.
- These correlations remained significant despite variations in fruit origin, harvest date, and storage conditions.
Conclusions:
- Biospeckle activity analysis is a viable, non-destructive technique for monitoring fruit quality during shelf life.
- The method shows potential for assessing apple ripeness and predicting quality attributes like firmness and sweetness.
- This technique can provide valuable insights even when fruit history and storage conditions are unknown.
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