Source: Earth and Space Science
Scientists have long thought that our solar system’s ocean worlds, such as Jupiter’s moon Europa and Saturn’s moon Enceladus, may harbor extraterrestrial life in the form of microbes. But detecting it could be a challenge because missions to ocean worlds have relied on probes, not landers. Probes pass only through a planet’s or moon’s atmosphere, kilometers away from the surface and interior. Spacecraft such as Europa Clipper (like Cassini before it) stay even farther away, not even entering the moon’s exosphere.
To meet this challenge, Clough et al. describe a method for detecting biochemical signatures using samples from whisps of gas escaping such worlds. The approach uses mass spectrometry to measure levels of isotopes produced during metabolic processes such as photosynthesis and methanogenesis. Machine learning techniques then assess whether those levels indicate the presence of life below.
An abstract painting of Europa
Drawing inspiration from images taken by the Voyager, Galileo, and Juno spacecrafts and recognizing how little we know about Jupiter’s icy moon Europa, research scientist Bethany Theiling painted Meditations on Europa. Click image for larger version. Credit: Bethany Theiling
To train the algorithm, the researchers needed examples of these exospheric conditions with and without life present. In the lab, they concocted brines with chemistry similar to that of Europa and Enceladus. To some brines, they added the sulfate-reducing bacterium Desulfotomaculum thermocisternum, which may bear a resemblance to life on ocean worlds.
Measuring gases in the headspaces of the bottles of brine gave researchers examples of the potential composition of the exospheres of ocean worlds and how microbes change that composition.
Geochemistry unrelated to the presence of life will also influence isotopes in these types of samples, so the researchers varied the ingredients in their brines to capture a range of possible scenarios. By training their model on these samples, they created a diagnostic tool that can disentangle signatures of life from other types of chemistry with a low potential for false positives.
The researchers note that the model requires further testing before it can be perfected, including with different microbes. But with more work, they say, it may become a valuable tool for future space missions. (Earth and Space Science, https://doi.org/10.1029/2024EA003966, 2025)
—Saima May Sidik (@saimamay.bsky.social), Science Writer
Citation: Sidik, S. M. (2025), Using algorithms to help find life on icy ocean worlds, Eos, 106,https://doi.org/10.1029/2025EO250110. Published on 21 March 2025.
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