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The IUP Journal of Chemical Engineering
Thin Layer Modeling Microwave Vacuum Drying of Green Chilli
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The drying kinetics of green chilli was evaluated using a Microwave Vacuum drier (MWV) for different power inputs of 160 W, 320 W, 480 W, 640 W and 800 W, at constant vacuum of 80 mmHg. Weibull distribution thin layer model is found to fit with results of microwave power input at 160 W, 320 W, 480 W and 640 W; and Wang and Singh suitable at 800 W. The best fit models were judged on the basis of regression coefficient (R2), Root Mean Square Error (RSME), chi-square (c2) and Residual Sum of Squares (RSS). The color and capsaicin content of chilli were evaluated using ASTA and colorimetric methods respectively. The best quality of final product was found at 160 W and 80 mmHg.

 
 

Drying of food items on a large scale is gaining importance with globalization, and the quantitative understanding of drying operations is crucial for process design, quality control, product handling and energy saving (McMinn, 2006). Freshly harvested chilli contains about 300% moisture on dry basis (Hu et al., 2006). Currently, India exports only 5-8% of its production, which can be increased only after preventing wastage (Kaleemullah and Kailappan, 2006).

In India, chilli is dried by direct exposure to sun resulting in a dull color, which reduces its market potential, and does not avoid spoilage due to microbial action for various reasons (Mangaraj et al., 2001). The improved solar driers such as natural convection (Hossain and Bala, 2007) and forced convection solar driers (Mangaraj et al., 2001) have prolonged heating which causes loss of pungency in chilli. These driers depend on weather conditions and there are more chances for the food items to be spoiled. Hot air drying is carried on by the convective drier (Akpinar et al., 2003 and Kaleemullah and Kailappan, 2006), forced convective air drier and rotary drier (Kaleemullah and Kailappan, 2005). This method has many disadvantages, including poor quality of dried products, low energy efficiency and a long drying time. The prolonged exposure to elevated drying temperatures, results in a substantial deterioration of quality attributes such as color, nutrient concentration, flavor and texture (Bondaruk et al., 2007).

Microwave Vacuum drying (MWV) is one of the emerging food processing methods in recent years. It relies on the principle of dielectric loss properties in a microwave field. As the microwaves directly penetrate the material, the entire product is heated (from inside out) in a fast and uniform manner, causing rapid evaporation of water and creating an outward flux of rapidly escaping vapor, and vacuum reduces the boiling point of water. In MWV drying process, heat and mass transfer are in the same direction and it helps to improve the rate of moisture removal. Microwave Vacuum drying can therefore accomplish drying tasks in a shorter time and at lower temperature. The drying of chilli using MWV technique is expected to gain greater importance on a large scale due the advantages of reduction in processing time, to preserve the quality attributes of the final product. Thin layer models are important for the industrial scale designing of the MWV drier. Thin layer models are categorized as theoretical, semi-theoretical and empirical (McMinn, 2006).

 
 

Chemical Engineering Journal, Green Chilli, Microwave, Vacuum, Thin Layer Models, Residual Sum of Squares, RSS, Microwave Vacuum drier, MWV, Root Mean Square Error , RSME, Regression Coefficient, American Spice Trade Association, ASTA, Sum of Squares of Error, SSE, Association of Official Analytical Chemist, AOAC.