Skip to Content

Better Fuel Cells Using Bacteria

Bioengineer Tim Gardner says synthetic biology could create bacteria that produce electricity from waste more efficiently.

What if you could power your house with sewage? Or run your pacemaker with blood sugar rather than a traditional battery? Scientists hope that microbial fuel cells – devices that use bacteria to generate electricity – could one day make this vision a reality.

Scientists hope to design new strains of bacteria that produce energy more efficiently.

While typical fuel cells use hydrogen as fuel, separating out electrons to create electricity, bacteria can use a wide variety of nutrients as fuel. Some species, such as Shewanella oneidensis and Rhodoferax ferrireducens, turn these nutrients directly into electrons. Indeed, scientists have already created experimental microbial fuel cells that can run off glucose and sewage. Although these microscopic organisms are remarkably efficient at producing energy, they don’t make enough of it for practical applications.

Tim Gardner, a bioengineer at Boston University (and member of the 2004 TR35), has developed a new technique for understanding the networks of genes that regulate the chemical reactions taking place in bacterial cells. The resulting “map” will be an advance for the field of synthetic biology: the quest to design and build biological systems that can perform specific functions. Gardner’s team aims to harness the genetic control system to engineer bacteria that can produce energy more efficiently.

As a test run of their technique, Gardner and coworkers analyzed the regulatory network of Escherichia coli, a common bacteria often used in research studies. The researchers identified more than 200 gene regulators that could be used in synthetic biology circuits. And they are now applying the technology to Shewanella bacteria.

Technology Review interviewed Tim Gardner about his plans during the Synthetic Biology 2.0 conference, held this week at the University of California, Berkeley.

Technology Review: What is the potential for microbial fuel cells?

Tim Gardner: Microbial fuel cells could really happen, but we have a ways to go in improving the power output. Right now, the output is so low that the technology is unlikely to be able to generate power for homes and cars. But there are some applications for which fuel cells might be appropriate. Some devices don’t need much power or could benefit from the ability to use unusual fuel sources – a medical implant that gets power from the blood, for example, and never needs to get charged. Or robots in the field that could grab a plant and convert it to power.

TR: How will you improve on nature’s design of bacteria?

TG: We want to rationally design a cell by manipulating existing machinery. A lot of the early work in synthetic biology was to try to build complete devices from scratch. But we realized we were fundamentally limited using a wholly synthetic approach – we were trying to build what evolution had built over millions of years. So we said, let’s try to tweak what evolution already built.

TR: How is your approach different from traditional molecular biology techniques?

TG: People have been modifying genetic systems for years. But, for the most part, it’s a trial-and-error approach. They tweak something and see what happens. We wanted to bring a systems level perspective, so we could approach the problem like an engineer. In order to do that, we had to know more about the existing circuitry, so we began to do genetic mapping.

We’ve been focusing on mapping regulatory circuits [a network of genes that control the chemical reactions taking place in the cell]. If you’re trying to figure out the circuitry of a house, you go to the circuit breaker and flip circuits on and off, looking for the circuit that controls the bathroom or the kitchen. We do a similar thing in bacteria, but it’s a bit messier. We stress the bacteria in different ways, with different chemicals or extreme temperatures, and then see how each gene responds. If you do this hundreds of times, you can look for genes that change together. For example, if you see different genes whose expression changes the same way under different conditions, we can infer those genes are related. We can then identify gene regulatory interactions and map the network.

TR: What will you do with this information?

TG: We have hopes of assembling whole genome regulatory models in novel organisms, which could be very powerful. We plan to try it out on electricity-producing organisms, which produce electricity directly from carbon sources.

We will couple the regulatory network with a model of the metabolic network [a map of the cell’s metabolic reactions], which is where the real business of turning carbon into electricity takes place. Then we’ll try to predict what will happen if we tweak genes or nutrients. We will try to decide if and how we could increase the power output or the thermodynamic efficiency of the organism.

Understanding these networks could also help scientists build artificial circuits from scratch. Scientists have already built a number of biological machines, such as toxin detectors or bacterial cameras. That was neat circuit engineering, but most of these devices are built using just three or four component parts. Understanding gene regulators will broaden the list of parts that can be used, because scientists will understand how the parts will impact the cell.

Keep Reading

Most Popular

computation concept
computation concept

How AI is reinventing what computers are

Three key ways artificial intelligence is changing what it means to compute.

still from Embodied Intelligence video
still from Embodied Intelligence video

These weird virtual creatures evolve their bodies to solve problems

They show how intelligence and body plans are closely linked—and could unlock AI for robots.

We reviewed three at-home covid tests. The results were mixed.

Over-the-counter coronavirus tests are finally available in the US. Some are more accurate and easier to use than others.

conceptual illustration showing various women's faces being scanned
conceptual illustration showing various women's faces being scanned

A horrifying new AI app swaps women into porn videos with a click

Deepfake researchers have long feared the day this would arrive.

Stay connected

Illustration by Rose WongIllustration by Rose Wong

Get the latest updates from
MIT Technology Review

Discover special offers, top stories, upcoming events, and more.

Thank you for submitting your email!

Explore more newsletters

It looks like something went wrong.

We’re having trouble saving your preferences. Try refreshing this page and updating them one more time. If you continue to get this message, reach out to us at with a list of newsletters you’d like to receive.