Preprints
https://doi.org/10.5194/egusphere-2026-2261
https://doi.org/10.5194/egusphere-2026-2261
19 May 2026
 | 19 May 2026
Status: this preprint is open for discussion and under review for Geochronology (GChron).

Short communication: A linear regression model for amino acid dating of Bithynia opercula from deep-core material

Ellie Frances Nelson and J. Andres Christen

Abstract. Estimating numerical ages from the extent of amino acid racemisation observed in fossil biominerals has been the aim of many researchers in the field of amino acid geochronology. Here, the use of temperature profiles and independent age estimates to build a linear regression model for IcPD with uncertainty calculated using a Bayesian approach is explored. This work presents a pilot study to test the potential of this methodology and determine what next steps need to be taken to make this a viable approach to produce numerical ages from IcPD data. To progress this work, a comprehensive study of the sources of uncertainty in the model needs to be made.

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Ellie Frances Nelson and J. Andres Christen

Status: open (until 30 Jun 2026)

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Ellie Frances Nelson and J. Andres Christen
Ellie Frances Nelson and J. Andres Christen
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Short summary
This pilot study uses a Bayesian linear regression model to relate intra-crystalline protein degradation (IcPD) in Bithynia opercula to temperature and time. By integrating thermal profiles with independent ages, we assess the feasibility of a new age calibration. While results show promise, particularly for deep-core material, further research into model uncertainty is required before this approach can be adopted as a standard method in amino acid geochronology.
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