Optimization of Fat-Reduced Puff Pastry Using Response Surface Methodology.

Area of Science:

• Food Science and Technology
• Bakery Science
• Product Development

Background:

• Puff pastry is a popular baked good characterized by its high fat content, crucial for both production and final texture.
• Developing reduced-fat versions without compromising quality is a significant challenge in bakery product innovation.

Purpose of the Study:

• To develop a fat-reduced puff pastry using response surface methodology (RSM).
• To evaluate the impact of technological parameters on puff pastry quality.
• To compare the quality and sensory attributes of fat-reduced puff pastry with conventional full-fat versions.

Main Methods:

• Response surface methodology (RSM) was employed to optimize technological parameters.
• Key parameters adjusted included roll-in fat level, number of fat layers (50-200), and final dough thickness (1.0-3.5 mm).
• Quality assessment utilized Texture Analyzer (ECK, MPP), VolScan, and C-Cell imaging systems, alongside sensory acceptance tests.

Main Results:

• Technological modifications significantly influenced internal and external structural quality parameters.
• A fat-reduced puff pastry (≥30% fat reduction) was successfully developed through process adjustments alone.
• Fat-reduced pastries exhibited comparable quality attributes to conventional full-fat (33 wt%) products.

Conclusions:

• Technological adjustments enable the creation of high-quality, reduced-fat puff pastry.
• Sensory evaluation indicated no significant differences in fatness or mouthfeel liking.
• Fat-reduced puff pastry showed a positive correlation with flavor liking and overall acceptance.