A new fitness tracker that’s very much like a “Fitbit for fish” is revealing new information about fish biology. The first-of-its-kind device uses multiple sensors to wirelessly track what a fish experiences in real-time.
“The Lab-on-a-Fish offers something needed in conservation and aquaculture—a cost-effective way to monitor fish health and behaviour,” said Daniel Deng, a lab fellow and mechanical engineer at Pacific Northwest National Laboratory (PNNL) whose sensor development team collaborated with the battery team lead by Jie Xiao, a laboratory fellow and chemist.
Aquaculture is an increasingly important source of safe, nutritious, and sustainable seafood for people worldwide. Globally, aquaculture production must double by 2030 to keep pace with demand. These increases in demand for aquaculture products, food security considerations, and job creation have generated an increased need for skilled workers.
The device, a type of biosensor, can simultaneously collect data about a fish, including its location, heartbeat, tail movement and burned calories, as well as the temperature, pressure and magnetic field of its surrounding environment. This information can help scientists and managers understand the impact of climate change, culture conditions and infrastructure development on ecosystem health and, in turn, inform future management and conservation strategies.
“If we want to know what stresses a fish out, we need to use tracking data and link that with detailed environmental, health and behaviour data. This is the first time this information can be integrated in this way,” said Deng.
Historically, fish tags have been limited by the number of sensors that can be put into one device without negatively affecting fish behaviour or device longevity. Lab-on-a-Fish weighs 2.4 grams, is about the size of a pen cap and can collect data for up to eight months. This means scientists can study smaller species for a longer time than possible before.
This award-winning biosensor is surgically inserted under skin near a fish’s rear dorsal fins. As the fish swims, a wireless receiver picks up the sensor’s telltale beeps.
Once scientists retrieve the data from a wireless receiver or the device itself, a series of machine learning algorithms can help them tease out patterns among all the measurements.
“It’s not just about getting data, Lab-on-a-Fish also has a built-in algorithm that helps make that data meaningful,” said Deng.
Deng and his colleagues designed the device to assist environmental managers and others in evaluating the environmental performance and safety of hydropower technology and mitigating impacts to wildlife. To date, the device has been successfully tested in the lab on three fish species, including rainbow trout, white sturgeon, and walleye, but its commercial applications extend to other economically important species.
Deng and his team are already developing the next-generation Lab-on-a-Fish, which tailors the device to specific user needs related to hydropower, conservation and aquaculture. In the future, this technology could help monitor a range of aquatic and terrestrial species, expanding its use and utility.
This work was supported by the Department of Energy’s Water Power Technologies Office. In addition to Deng and Xiao, the team includes Yang Yang, Jun Lu, Brett D Pflugrath, Huidong Li, Jayson J Martinez, Siddhartha Regmi and Bingbin Wu. Those interested in partnering with PNNL or licensing opportunities related to this technology can contact PNNL commercialisation manager Sara Hunt.