How does the Internet of Things (IoT) help in microalgae biorefinery?

Area of Science:

• Biotechnology and Bioengineering
• Sustainable Energy
• Environmental Science

Background:

• Microalgae biorefineries convert biomass into biofuels, chemicals, and materials.
• Large-scale microalgae cultivation requires advanced monitoring and control for commercialization.
• Current methods lack the precision needed for efficient and predictable microalgae production.

Purpose of the Study:

• To critically review cutting-edge Internet of Things (IoT) technologies for microalgae biorefineries.
• To explore IoT applications in both upstream and downstream processing of microalgae.
• To identify future research directions for optimizing microalgae biorefinery efficiency.

Main Methods:

• Comprehensive review of existing literature on IoT applications in microalgae cultivation.
• Analysis of key IoT components: automation, sensors, lab-on-chip, and machine learning.
• Discussion of emerging technologies like microfluidics and deep learning.

Main Results:

• IoT enables automatic control, precise monitoring, and prediction of microalgae production.
• Applications include species identification, classification, and viability detection.
• Integration of IoT enhances productivity and optimizes resource utilization in biorefineries.

Conclusions:

• IoT technologies are crucial for advancing microalgae biorefineries towards smarter, greener, and more economical processes.
• Further research in sensor development, microfluidics, and AI is essential.
• IoT integration promises significant improvements in energy recovery and product yields.