Performance of Fuzzy Logic Model to Foresee of Ground Pistachio Nut Isotherm

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Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
Introduction

One of the most popular nuts in Iran is Pistachio (Pistachia vera L.). This nut is used as a food additive due to its high and uniquenutritional properties. Postharvest operations such as handling, cleaning, packaging and storing conditions have considerable effects on sensory attributes, the nutraceutical benefits, and shelf-life. Therefore, this research aims to predict the EMC of ground pistachio nut (GPN) undergoing 20oC storage based on two key criteria [i.e. T and ERH= (aw×100)] and application of the intelligent system of fuzzy logic.

Materials and Methods

The fuzzy logic model (FLM) was used to foresee of the EMCs (ads. /des.) behavior of GPN. First, the data obtained for EMC were run in MATLAB software & the fuzzy logic package was applied for EMC modeling of GPN. The variables were divided into two groups: inlet including storage temperature and water activity (aw) and outlet is EMCs. Next, effective verbal variables were defined for both dependent and independent variables.

Results

The FLM could predict EMCs (ads. /des.) of GPN with an R 2 value equal to 0.9959 and 0.9869, respectively

Conclusions

Totally, the obtained results of present study are operational by workstations of GPN producer & theirplants to control the shelflife.

Language:
English
Published:
Pistachio and Health Journal, Volume:3 Issue: 1, Winter 2020
Pages:
18 to 31
https://www.magiran.com/p2253809  
سامانه نویسندگان
  • Mokhtarian، Mohsen
    Corresponding Author (1)
    Mokhtarian, Mohsen
    Assistant Professor Department of Food Science and Technology, Roudhen Branch, Islamic Azad University, Roudhen, Iran, Roudehen Branch, Islamic Azad University, Rudhan, Iran
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