Real-Time Tool Detects Algal Pond Crashes

Sandia National Laboratories is developing a suite of complementary technologies to help the emerging algae industry detect and quickly recover from algal pond crashes, an obstacle to large-scale algae cultivation for future biofuels.
Sandia developed a real-time monitoring tool for algal ponds that detects indications of a problem days in advance of a crash. Pathogen detection and characterization technologies were honed through the lab’s Rapid Threat Organism Recognition (RapTOR) work.

The laboratories' SpinDX diagnostic device helps to determine the root biological cause of the problem.


Also: Learn about a handheld universal diagnostic sensor.

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