Stay up to date with notifications from The Independent

Notifications can be managed in browser preferences.

Scientists develop method of identifying life on other planets

The simple and reliable test could revolutionise the search for life on other worlds, researchers say.

Nina Massey
Monday 25 September 2023 20:00 BST
Scientists are developing methods of identifying life on other planets (David Davies/PA)
Scientists are developing methods of identifying life on other planets (David Davies/PA) (PA Wire)

Your support helps us to tell the story

From reproductive rights to climate change to Big Tech, The Independent is on the ground when the story is developing. Whether it's investigating the financials of Elon Musk's pro-Trump PAC or producing our latest documentary, 'The A Word', which shines a light on the American women fighting for reproductive rights, we know how important it is to parse out the facts from the messaging.

At such a critical moment in US history, we need reporters on the ground. Your donation allows us to keep sending journalists to speak to both sides of the story.

The Independent is trusted by Americans across the entire political spectrum. And unlike many other quality news outlets, we choose not to lock Americans out of our reporting and analysis with paywalls. We believe quality journalism should be available to everyone, paid for by those who can afford it.

Your support makes all the difference.

Scientists have developed a way of identifying life on other planets.

They say the new method, which uses artificial intelligence (AI), can determine with 90% accuracy if a sample is biological or non-biological.

According to the researchers, the simple and reliable test could revolutionise the search for life on other planets.

This is a significant advance in our abilities to recognise biochemical signs of life on other worlds

Professor Robert Hazen

Lead researcher Professor Robert Hazen, of the Carnegie Institution’s Geophysical Laboratory and George Mason University in the US, said: “This is a significant advance in our abilities to recognise biochemical signs of life on other worlds.

“It opens the way to using smart sensors on unmanned spaceships to search for signs of life”.

Dr Hazen added: “This routine analytical method has the potential to revolutionise the search for extra-terrestrial life and deepen our understanding of both the origin and chemistry of the earliest life on Earth.

“It opens the way to using smart sensors on robotic spacecraft, landers and rovers to search for signs of life before the samples return to Earth.”

The scientists say that most immediately, the new test could reveal the history of mysterious, ancient rocks on Earth, and possibly that of samples already collected by the Mars Curiosity rover’s Sample Analysis at Mars (SAM) instrument.

The search for extra-terrestrial life remains one of the most tantalising endeavours in modern science

Lead author Jim Cleaves

Lead author Jim Cleaves of the Earth and Planets Laboratory, Carnegie Institution for Science in Washington, DC, said: “We’ll need to tweak our method to match SAM’s protocols, but it’s possible that we already have data in hand to determine if there are molecules on Mars from an organic Martian biosphere.

“The search for extra-terrestrial life remains one of the most tantalising endeavours in modern science.”

The method does not rely simply on identifying a specific molecule or group of compounds in a sample.

Instead, the researchers demonstrated that AI can differentiate between living and non-living samples, by detecting subtle differences within a sample’s molecular patterns.

The scientists used Nasa flight-tested methods to analyse 134 varied carbon-rich samples from living cells, age-degraded samples, geologically processed fossil fuels, carbon-rich meteorites, and laboratory-made organic compounds and mixtures.

Fifty-nine of these were of biological origin (biotic), such as a grain of rice, a human hair, crude oil, and 75 were of non-biological origin (abiotic), such as lab-made compounds like amino acids, or samples from carbon-rich meteorites.

Using a suite of machine-learning (AI) methods, the researchers created a model that can predict the abiotic or biotic nature of the sample with around 90% accuracy.

Surprisingly, in spite of significant decay and alteration, the new method detected signs of biology preserved in some instances over hundreds of millions of years.

Dr Hazen said: “These results mean that we may be able to find a lifeform from another planet, another biosphere, even if it is very different from the life we know on Earth.

“And, if we do find signs of life elsewhere, we can tell if life on Earth and other planets derived from a common or different origin.”

He added: “Put another way, the method should be able to detect alien biochemistries, as well as Earth life.

“That is a big deal because it’s relatively easy to spot the molecular biomarkers of Earth life, but we cannot assume that alien life will use DNA, amino acids, etc.

“Our method looks for patterns in molecular distributions that arise from life’s demand for ‘functional’ molecules.”

The findings are published in the Proceedings of the National Academy of Sciences.

Thank you for registering

Please refresh the page or navigate to another page on the site to be automatically logged inPlease refresh your browser to be logged in