T246 Mineral Informatics and the Evolution of Earth, Planets, and Life: In Honor of MSA Awardee, Shaunna M. Morrison (Posters)

Wednesday, 18 October 2023
8:00 AM - 5:30 PM
Hall B

APPLYING MACHINE LEARNING FOR MOLECULAR BIOSIGNATURES DETECTION

Paper number: T246-1
Program: Technical Sessions
Time: 8:00 AM – 5:30 PM

Authors

Abstract

In this poster presentation, we describe machine learning methods for the detection of molecular biosignatures in complex molecular mixtures of natural and synthetic samples analyzed by gas chromatography-mass spectrometry (py-GC-MS). A data pipeline was developed and machine-learning models were trained on three-dimensional chromatographic retention time/mass-to-charge ratio/intensity data to predict the biogenicity of both contemporary and taphonomically altered biological samples. We investigate whether we can discover molecular biosignatures that can differentiate between samples from biotic and abiotic origin in order to test the hypothesis that terrestrial biochemistry differ from abiotic chemistry.

Geological Society of America Abstracts with Programs. Vol. 55, No. 6

doi: 10.1130/abs/2023AM-391693

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