Advancing Sustainability Through Automation and AI in Fungi-Based Bioprocessing
What are the sustainability goals of fungi-based bioprocesses?
Fungi-based bioprocesses contribute to sustainability goals by producing diverse bioproducts like enzymes, organic acids, and bioactive compounds for various sectors, reducing environmental impact. They enable efficient nutrient utilization, waste reduction, and circular economy principles. Automation and AI enhance process control, optimizing production yields and minimizing resource consumption.
How does automation enhance fungi-based biomanufacturing?
Automation enhances fungi-based biomanufacturing by replacing manual tasks with mechanized tools, optimizing process efficiency, and reducing human error4. It enables precise monitoring and control of critical parameters, such as pH, temperature, and nutrient levels, and facilitates real-time decision-making based on data insights. This integration enhances process control, resource utilization, and scalability, resulting in consistent, high-quality production outcomes.
What role does AI play in fungal bioprocess control?
AI plays a crucial role in fungal bioprocess control by enabling real-time monitoring and control of critical parameters, such as pH, temperature, and nutrient levels. It facilitates the optimization of bioprocesses, maximizing product yields while minimizing costs and environmental impacts. AI-driven tools, including smart sensors, image analysis tools, and robotic systems, enhance efficiency, accuracy, and process reliability in filamentous fungi cultivation.