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Evolution Pattern in Bruised Tissue of 'Red Delicious' Apple
Tao Xu1,2,3,4, Xiaomin Zhang1,2,3,4, Yihang Zhu1,2,3,4
1College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China.
Foods (Basel, Switzerland)
|February 24, 2024
Summary
Bruised apples show damage spreading from a central cell death zone, with consistent directional patterns over time. Understanding this apple damage evolution aids in predicting and mitigating post-harvest losses.
Area of Science:
- Agricultural Science
- Plant Pathology
- Food Science
Background:
- Improving post-harvest apple treatment requires understanding damage mechanisms.
- The evolution pattern of damaged tissue is fundamental to studying apple damage.
- Previous research has not fully detailed the temporal and spatial development of bruise damage in apples.
Purpose of the Study:
- To explore the relationship between time and damage in 'Red Delicious' apples after bruising.
- To characterize the spatial development and temporal progression of tissue damage.
- To provide a theoretical basis for enhancing early-stage damage prediction in apples.
Main Methods:
- Utilized 'Red Delicious' apples for controlled bruising experiments.
- Observed and measured the development of damaged tissue over time.
- Analyzed the directional spread (core vs. pericarpal) and depth of damage.
Main Results:
- A central cell death zone was identified in bruised apple pulp.
- Damage spread laterally from the cell death zone, increasing in width with time.
- Damage distribution was consistently ~60% in the core direction and ~40% in the pericarpal direction.
- Maximum damage rate occurred around 30 minutes; damage depth stabilized by 72 minutes.
- The damage development pattern was independent of impact force and damaged area size.
Conclusions:
- The study elucidates the specific evolution pattern of bruise damage in 'Red Delicious' apples.
- Findings offer insights into the biomechanics of apple bruising.
- This research provides a foundation for improving the accuracy and robustness of early-stage apple damage prediction models.

