Optimizing ultrasound-assisted extraction with custom design and response surface methodology: A case study using...

Area of Science:

• Biomass processing and extraction technologies
• Applied chemistry and chemical engineering
• Marine biotechnology and phycology

Background:

• Ulva spp. are a rich source of valuable compounds like ulvan, proteins, and phenolics.
• Ultrasound-assisted extraction (UAE) offers an efficient method for extracting compounds from complex biomass.
• Optimization of UAE is crucial for maximizing yield and minimizing energy consumption.

Purpose of the Study:

• To develop and apply a structured optimization approach for UAE of Ulva spp.
• To model and optimize the recovery of ulvan, proteins, and phenolic compounds.
• To provide a replicable framework for UAE process optimization from complex biomass.

Main Methods:

• Utilized a custom I-optimal response surface methodology for experimental design.
• Investigated four independent variables: specific energy input (SEI), solid-liquid ratio (SLR), amplitude, and temperature.
• Evaluated extraction yield, recovery yield, and specific energy demand as response criteria.

Main Results:

• Specific energy input, solid-liquid ratio, and temperature were identified as the most influential factors on extraction efficiency.
• Higher specific energy input and temperature generally increased extraction yields but also energy consumption.
• Optimal conditions for ulvan recovery favored lower temperatures and energy-efficient ultrasonication.

Conclusions:

• A holistic approach to UAE optimization is necessary, balancing yield maximization with energy efficiency.
• Methodological design is critical for optimizing UAE processes for practical applicability and scalability.
• The study provides valuable educational insights for process engineers and researchers in UAE.