Journal of Biosystems Engineering

Korean Society for Agricultural Machinery (한국농업기계학회)
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Understanding Phytosanitary Irradiation Treatment of Pineapple Using Monte Carlo Simulation

  • Kim, Jongsoon (Department of Bio-industrial Machinery Engineering Pusan National University) ;
  • Kwon, Soon-Hong (Department of Bio-industrial Machinery Engineering Pusan National University) ;
  • Chung, Sung-Won (Department of Bio-industrial Machinery Engineering Pusan National University) ;
  • Kwon, Soon-Goo (Department of Bio-industrial Machinery Engineering Pusan National University) ;
  • Park, Jong-Min (Department of Bio-industrial Machinery Engineering Pusan National University) ;
  • Choi, Won-Sik (Department of Bio-industrial Machinery Engineering Pusan National University)
  • Received : 2013.04.15
  • Accepted : 2013.05.21
  • Published : 2013.06.01
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Abstract

Purpose: Pineapple is now the third most important tropical fruit in world production after banana and citrus. Phytosanitary irradiation is recognized as a promising alternative treatment to chemical fumigation. However, most of the phytosanitary irradiation studies have dealt with physiochemical properties and its efficacy. Accurate dose calculation is crucial for ensuring proper process control in phytosanitary irradiation. The objective of this study was to optimize phytosanitary irradiation treatment of pineapple in various radiation sources using Monte Carlo simulation. Methods: 3-D geometry and component densities of the pineapple, extracted from CT scan data, were entered into a radiation transport Monte Carlo code (MCNP5) to obtain simulated dose distribution. Radiation energy used for simulation were 2 MeV (low-energy) and 10 MeV (high-energy) for electron beams, 1.25 MeV for gamma-rays, and 5 MeV for X-rays. Results: For low-energy electron beam simulation, electrons penetrated up to 0.75 cm from the pineapple skin, which is good for controlling insect eggs laid just below the fruit surface. For high-energy electron beam simulation, electrons penetrated up to 4.5 cm and the irradiation area occupied 60.2% of the whole area at single-side irradiation and 90.6% at double-side irradiation. For a single-side only gamma- and X-ray source simulation, the entire pineapple was irradiated and dose uniformity ratios (Dmax/Dmin) were 2.23 and 2.19, respectively. Even though both sources had all greater penetrating capability, the X-ray treatment is safer and the gamma-ray treatment is more widely used due to their availability. Conclusions: These results are invaluable for optimizing phytosanitary irradiation treatment planning of pineapple.

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