Scientists have claimed that they Space creature A simple test has been developed to find out the life of
The breakthrough contributes to astrobiology‘s ‘much-desired but difficult’ quest, meaning it will be a reliable test to determine whether other The planets But life exists or once existed.
The discovery uses artificial intelligence to determine with 90 percent accuracy whether a sample (brought from space) is biological or not.
The researchers say it can also be used on existing samples. It could mean, for example, that samples we’ve already collected can tell whether there’s life on Mars.
The scientists hope their test can be used on samples already collected by NASA’s Curiosity rover‘s Sample Analyzes at Mars (SAM) instrument. Data collected from the samples by the instrument on the rover can be used in this test.
These findings may also help us learn more about our planet by revealing the history of the mysterious and ancient rocks found on Earth.
“The search for extraterrestrial life is one of the most complex endeavors in modern science,” said Jim Clews, who led the study at the Earth and Planets Laboratory at the Carnegie Institution for Science in Washington.
“There are many hidden implications of this new research, but three major conclusions can be drawn from it: First, at some depth, biochemistry is different from abiotic organic chemistry,” he said. Second, we can tell if they were once alive by looking at samples from Mars and ancient Earth. And third, it is likely that this new method could isolate alternative biospheres from Earth, which would have important implications for future astrobiology missions.’
This technique does not look for specific molecules or compounds that indicate life, as it used to do. Instead, it looks for small differences in the molecular patterns of samples using different types of analysis.
It was constructed from artificial intelligence system data on 134 known specimens, including information on whether they were biotic or abiotic. He was given new samples to test – including living things, remains of ancient life and other biological samples that did not indicate life, such as pure chemicals – and identified them with 90 percent accuracy. .
The system also began predicting another type of sample, dividing biotics into ‘living’ and ‘fossil’.
This means, for example, that it can tell the difference between a freshly cut leaf and something else that died long ago.
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Scientists hope that over time it will be able to distinguish other signals in the data, such as signs of photosynthesis or cells that contain a nucleus.
Previous research has struggled because organic molecules degrade over time. The researchers behind it say the new method works even when samples are damaged and significantly altered.
According to Robert Hazen of the Carnegie Institution for Science, one of the leaders of the research, ‘this routine analytical method could revolutionize the search for extraterrestrial life and increase our knowledge of both the origin and chemistry of early life on Earth. is capable of This will pave the way for the use of smart sensors on robotic spacecraft, landers and rovers to detect signs of life before sending samples back to Earth.’
These findings may also help solve the mysteries of life. Many of the oldest rocks on Earth are still debated as to whether they contain the earliest fossil microbes of life, while others say they contain no life at all—and researchers already in Australia, Canada, and elsewhere. are inputting data about these rocks into the device.
“We are now using our methods to address long-standing questions about the biological nature of the organic matter in these rocks,” Hazen said.
A paper describing the research, titled ‘A robust, agnostic biosignature based on machine learning’, was published in the journal Proceedings of the National Academy of Sciences.
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