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Updated: Sep 26, 2025

Fruit Volatile Analysis Using an Electronic Nose
Published on: March 30, 2012
Fruit quality parameters and volatile compounds from 'Palmer' mangoes with internal breakdown
Fernanda Campos Alencar Oldoni1, Camila Florencio2, Giovana Brait Bertazzo3
1Department of Food and Nutrition, Sao Paulo State University (UNESP), Rod. Araraquara Jaú, Km 01 - s/n, 14800-903 Araraquara, SP, Brazil.
Internal breakdown (IB) in mangoes is a ripening disorder detected upon slicing. This study identified key physical and chemical markers, including specific volatile compounds, to accurately detect IB in mangoes, reducing waste.
Area of Science:
- Agricultural Science
- Food Science
- Plant Physiology
Background:
- Internal breakdown (IB) is a physiological disorder causing premature, uneven mango ripening, leading to consumer dissatisfaction and postharvest loss.
- Detecting IB before consumption is challenging as symptoms are only visible when the fruit is cut.
Purpose of the Study:
- To evaluate the potential of physicochemical and volatile compound analysis for predicting internal breakdown (IB) in mangoes.
- To identify reliable analytical methods for early IB detection in mangoes.
Main Methods:
- Analysis of physicochemical properties (color, firmness) and volatile compounds in mango pulp.
- Application of Principal Component Analysis (PCA) and Partial Least Squares Discriminant Analysis (PLS-DA) for data interpretation.
Main Results:
- Color, firmness, and volatile compounds significantly correlate with physiological changes associated with IB.
- Specific volatile compounds including methacrylic acid, ethyl ester, isopentyl ethanoate, limonene oxide, (E)-2-pentenal, tetradecane, and γ-elemene were identified as chemical markers for IB.
- PCA and PLS-DA successfully differentiated between healthy and IB-affected mangoes.
Conclusions:
- Combined analysis of physical and chemical characteristics, alongside multivariate statistical methods, provides an effective approach for identifying IB in mangoes.
- This methodology can aid in developing strategies to mitigate postharvest losses and improve consumer satisfaction by detecting IB early.
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