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Real-Time Health and Biomass Monitoring for Algae Cultivation

Affordable sensor for large-scale algae production

At a Glance

Researchers at Colorado State University have developed a low-cost, real-time sensor for algae cultivation. This sensor measures biomass concentration and cellular health by analyzing light absorbance and color. It offers a linear, accurate, and reliable alternative to traditional sampling and lab-based spectrophotometry. Designed for use in open ponds, it simplifies large-scale algae monitoring.

Background

Algae cultivation is vital for industries like biofuels, nutraceuticals, and wastewater treatment. However, scaling up production poses challenges in monitoring biomass concentration and cellular health. Current methods are time-consuming, expensive, or unsuitable for large-scale operations. This sensor addresses the gap by providing real-time, in situ measurements in cultivation ponds, making large-scale algae production more efficient and sustainable.

Overview

This innovative sensor measures light absorbance and color across multiple wavelengths to determine algae biomass and cellular health. By detecting changes in color caused by stress, contamination, or disease, it provides early indicators of cultivation issues. Initial tests show a strong linear correlation between sensor readings and traditional spectrophotometers, with the sensor offering a larger measurement range and reduced sensitivity to ambient light. Future developments include automated controls, improved power efficiency, and enhanced signal transfer, further expanding its capabilities. Compared to traditional methods, this sensor eliminates the need for frequent sampling, making real-time monitoring in large-scale systems more practical and cost-effective.

Figure 1. Sensor readings from prototype 1 taken over a five-day period. The red circles represent density measurements taken using a bench top spectrophotometer.

Benefits

  • Real-time, in situ algae biomass and health monitoring
  • Cost-effective compared to current commercial options
  • Wider linear measurement range than benchtop spectrophotometers
  • Minimal sensitivity to ambient light
  • Early detection of contamination, stress, or disease
  • Scalable for large algae cultivation systems

Applications

  • Monitoring algae biomass for biofuel production
  • Nutritional quality assessment in nutraceutical production
  • Early detection of algal blooms in environmental monitoring
  • Streamlining wastewater treatment processes
  • Automated control of algae cultivation systems
Last Updated: March 2025
Opportunity

Available for Exclusive Licensing
TRL: 4

IP Status

US Provisional Patent

Inventors

Ken Reardon
Elliot Ferrell-Carretey
Rob Walder

Reference Number
2024-057
Licensing Manager

Jessy McGowan
Jessy.McGowan@colostate.edu
970-491-7100

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