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Optimization of spray drying parameters for pink guava powder using RSM
Mohammad Rezaul Islam Shishir1, Farah Saleena Taip1, Norashikin Ab Aziz1
11Department of Process and Food Engineering, Universiti Putra Malaysia (UPM), 43400 Serdang, Selangor, Malaysia.
Spray drying optimization for pink guava powder was achieved using a central composite design. Optimal conditions yielded desirable moisture, particle size, and lycopene content, confirming model predictions.
Area of Science:
- Food Science and Technology
- Chemical Engineering
- Process Optimization
Background:
- Pink guava is rich in lycopene, a valuable antioxidant.
- Spray drying is a common method for fruit powder production.
- Optimizing spray drying parameters is crucial for preserving quality attributes.
Purpose of the Study:
- To optimize spray drying parameters for pink guava powder.
- To determine the effects of inlet temperature, maltodextrin concentration (MDC), and feed flow (FF) on powder properties.
- To predict optimal conditions for maximizing lycopene content and achieving desired moisture and particle size.
Main Methods:
- Central composite face-centered design was employed for experimental optimization.
- Second-order polynomial models were developed to describe responses (moisture, particle size, lycopene).
- Multiple response optimization was used to identify ideal processing conditions.
Main Results:
- Models showed high coefficients of determination (R² > 0.95) for all responses.
- Moisture decreased with higher inlet temperature and MDC; particle size increased.
- Lycopene content decreased with higher temperature but increased with higher MDC.
Conclusions:
- Optimal spray drying conditions were determined: 150°C inlet temperature, 17.12% MDC, and 350 mL/h FF.
- Predicted responses included 3.10% moisture, 11.23 μm particle size, and 58.71 mg/100 g lycopene.
- Experimental results validated the predictive model, ensuring process efficiency and product quality.
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