Optimization of ingredients for noodle preparation using response surface methodology.

Area of Science:

• Food Science and Technology
• Nutritional Biochemistry
• Cereal Science

Background:

• Composite flours offer a way to improve the nutritional profile of traditional food products.
• Whole wheat, tapioca, and defatted soy flours are common ingredients with distinct properties.
• Optimizing composite flour blends is crucial for achieving desired product quality and consumer acceptance.

Purpose of the Study:

• To determine the optimal combination of whole wheat flour, tapioca flour, and defatted soy flour for noodle production.
• To evaluate the impact of different composite flour ratios on various noodle quality attributes.
• To identify the best formulation for Chinese salted noodles with enhanced nutritional and sensory characteristics.

Main Methods:

• Utilized a central composite rotatable design (CCRD) to systematically vary flour proportions.
• Analyzed key responses including bulk density, proximate composition, water uptake, cooking expansion, and sensory attributes.
• Fitted a second-order quadratic polynomial equation to predict responses based on flour composition.

Main Results:

• Maximum protein content (16 g%) was achieved with 75.54 g whole wheat, 10 g tapioca, and 19.78 g defatted soy flour.
• Excessive defatted soy flour (>10 g) negatively impacted noodle quality attributes.
• Optimal noodle quality was obtained using a ratio of 77.33 g whole wheat: 22.19 g tapioca: 8.92 g defatted soy flour.

Conclusions:

• A specific composite flour blend significantly enhances protein, water absorption, and cooking quality of Chinese salted noodles.
• The optimized formulation balances nutritional benefits with desirable physical and sensory characteristics.
• This research provides a cost-effective approach (Rs. 75.50/kg) for producing high-quality composite flour noodles.