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Monte Carlo simulation based prediction of blended oil composition containing mustard, rapeseed and soybean oil

Kshitij Shrestha (UGent) , Liesbeth Jacxsens (UGent) and Bruno De Meulenaer (UGent)
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Keywords
SEED OIL, CANOLOL, ADULTERATION, OLIVE OIL, Monte Carlo simulation, Fatty acid composition, Blend composition, Adulteration, Soybean oil, Rapeseed oil, Mustard seed oil

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Citation

Please use this url to cite or link to this publication:

Chicago
Shrestha, Kshitij, Liesbeth Jacxsens, and Bruno De Meulenaer. 2014. “Monte Carlo Simulation Based Prediction of Blended Oil Composition Containing Mustard, Rapeseed and Soybean Oil.” Food Research International 60: 108–116.
APA
Shrestha, K., Jacxsens, L., & De Meulenaer, B. (2014). Monte Carlo simulation based prediction of blended oil composition containing mustard, rapeseed and soybean oil. FOOD RESEARCH INTERNATIONAL, 60, 108–116.
Vancouver
1.
Shrestha K, Jacxsens L, De Meulenaer B. Monte Carlo simulation based prediction of blended oil composition containing mustard, rapeseed and soybean oil. FOOD RESEARCH INTERNATIONAL. 2014;60:108–16.
MLA
Shrestha, Kshitij, Liesbeth Jacxsens, and Bruno De Meulenaer. “Monte Carlo Simulation Based Prediction of Blended Oil Composition Containing Mustard, Rapeseed and Soybean Oil.” FOOD RESEARCH INTERNATIONAL 60 (2014): 108–116. Print.
@article{4197815,
  author       = {Shrestha, Kshitij and Jacxsens, Liesbeth and De Meulenaer, Bruno},
  issn         = {0963-9969},
  journal      = {FOOD RESEARCH INTERNATIONAL},
  language     = {eng},
  pages        = {108--116},
  title        = {Monte Carlo simulation based prediction of blended oil composition containing mustard, rapeseed and soybean oil},
  url          = {http://dx.doi.org/10.1016/j.foodres.2013.11.030},
  volume       = {60},
  year         = {2014},
}

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