Melting of fluorine-rich biotite as a mechanism for generating lithium-rich granites

Abstract Granitic melts derived from anatexis of metasedimentary rocks, particularly biotite-dehydration reactions, are important lithium (Li) sources. Petrogenetic models depend on mineral-melt lithium partitioning, yet published partition coefficients ( $${D}_{{{{\rm{Li}}}}}^{{{{\rm{mineral/melt}}}}}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msubsup> <mml:mrow> <mml:mi>D</mml:mi> </mml:mrow> <mml:mrow> <mml:mi>Li</mml:mi> </mml:mrow> <mml:mrow> <mml:mi>mineral/melt</mml:mi> </mml:mrow> </mml:msubsup> </mml:math> ) vary by over an order of magnitude, and are commonly used as static values. Here we use thermodynamic modelling coupled with relevant published $${D}_{{{{\rm{Li}}}}}^{{{{\rm{mineral/melt}}}}}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msubsup> <mml:mrow> <mml:mi>D</mml:mi> </mml:mrow> <mml:mrow> <mml:mi>Li</mml:mi> </mml:mrow> <mml:mrow> <mml:mi>mineral/melt</mml:mi> </mml:mrow> </mml:msubsup> </mml:math> ranges, including a dynamic composition- and temperature-dependent $${D}_{{{{\rm{Li}}}}}^{{{{\rm{biotite/melt}}}}}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msubsup> <mml:mrow> <mml:mi>D</mml:mi> </mml:mrow> <mml:mrow> <mml:mi>Li</mml:mi> </mml:mrow> <mml:mrow> <mml:mi>biotite/melt</mml:mi> </mml:mrow> </mml:msubsup> </mml:math> , to quantify viable enrichment during partial melting and fractional crystallisation. Using the lithium-rich Cornubian granite batholith, we demonstrate the sensitivity of results to $${D}_{{{{\rm{Li}}}}}^{{{{\rm{mineral/melt}}}}}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msubsup> <mml:mrow> <mml:mi>D</mml:mi> </mml:mrow> <mml:mrow> <mml:mi>Li</mml:mi> </mml:mrow> <mml:mrow> <mml:mi>mineral/melt</mml:mi> </mml:mrow> </mml:msubsup> </mml:math> choices for modally-dominant lithium-poor phases (e.g. quartz), as well as phases traditionally thought to dominate lithium budgets (e.g. biotite). While economic lithium enrichment can result from extreme fractionation with selective $${D}_{{{{\rm{Li}}}}}^{{{{\rm{mineral/melt}}}}}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msubsup> <mml:mrow> <mml:mi>D</mml:mi> </mml:mrow> <mml:mrow> <mml:mi>Li</mml:mi> </mml:mrow> <mml:mrow> <mml:mi>mineral/melt</mml:mi> </mml:mrow> </mml:msubsup> </mml:math> , we suggest that dehydration melting of fluorinated biotite is the most viable petrogenetic model. The latter reconciles the common observations of fluorite in lithium-granites and their late-orogenic occurrence, and provides a mechanism for extensive fractionation.

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Journal
Communications Earth & Environment
Published
2026-03-09
DOI
https://doi.org/10.1038/s43247-026-03361-x
Primary Topic
Geological and Geochemical Analysis
Type
article
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article

Melting of fluorine-rich biotite as a mechanism for generating lithium-rich granites

Chris Yeomans, Caroline Soderman, Charles D. Beard, Matthew C. Morris et al.
Communications Earth & Environment
Geological and Geochemical Analysis
article

Melting of fluorine-rich biotite as a mechanism for generating lithium-rich granites

Chris Yeomans, Caroline Soderman, Charles D. Beard, Matthew C. Morris, Marie Edmonds, Owen M. Weller
article en

Abstract

Abstract Granitic melts derived from anatexis of metasedimentary rocks, particularly biotite-dehydration reactions, are important lithium (Li) sources. Petrogenetic models depend on mineral-melt lithium partitioning, yet published partition coefficients ( $${D}_{{{{\rm{Li}}}}}^{{{{\rm{mineral/melt}}}}}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msubsup> <mml:mrow> <mml:mi>D</mml:mi> </mml:mrow> <mml:mrow> <mml:mi>Li</mml:mi> </mml:mrow> <mml:mrow> <mml:mi>mineral/melt</mml:mi> </mml:mrow> </mml:msubsup> </mml:math> ) vary by over an order of magnitude, and are commonly used as static values. Here we use thermodynamic modelling coupled with relevant published $${D}_{{{{\rm{Li}}}}}^{{{{\rm{mineral/melt}}}}}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msubsup> <mml:mrow> <mml:mi>D</mml:mi> </mml:mrow> <mml:mrow> <mml:mi>Li</mml:mi> </mml:mrow> <mml:mrow> <mml:mi>mineral/melt</mml:mi> </mml:mrow> </mml:msubsup> </mml:math> ranges, including a dynamic composition- and temperature-dependent $${D}_{{{{\rm{Li}}}}}^{{{{\rm{biotite/melt}}}}}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msubsup> <mml:mrow> <mml:mi>D</mml:mi> </mml:mrow> <mml:mrow> <mml:mi>Li</mml:mi> </mml:mrow> <mml:mrow> <mml:mi>biotite/melt</mml:mi> </mml:mrow> </mml:msubsup> </mml:math> , to quantify viable enrichment during partial melting and fractional crystallisation. Using the lithium-rich Cornubian granite batholith, we demonstrate the sensitivity of results to $${D}_{{{{\rm{Li}}}}}^{{{{\rm{mineral/melt}}}}}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msubsup> <mml:mrow> <mml:mi>D</mml:mi> </mml:mrow> <mml:mrow> <mml:mi>Li</mml:mi> </mml:mrow> <mml:mrow> <mml:mi>mineral/melt</mml:mi> </mml:mrow> </mml:msubsup> </mml:math> choices for modally-dominant lithium-poor phases (e.g. quartz), as well as phases traditionally thought to dominate lithium budgets (e.g. biotite). While economic lithium enrichment can result from extreme fractionation with selective $${D}_{{{{\rm{Li}}}}}^{{{{\rm{mineral/melt}}}}}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msubsup> <mml:mrow> <mml:mi>D</mml:mi> </mml:mrow> <mml:mrow> <mml:mi>Li</mml:mi> </mml:mrow> <mml:mrow> <mml:mi>mineral/melt</mml:mi> </mml:mrow> </mml:msubsup> </mml:math> , we suggest that dehydration melting of fluorinated biotite is the most viable petrogenetic model. The latter reconciles the common observations of fluorite in lithium-granites and their late-orogenic occurrence, and provides a mechanism for extensive fractionation.

Communications Earth & Environment
Utrecht University (NL), University of Cambridge (GB), Royal Cornwall Hospital (GB), Cornwall Council (GB), West Cornwall Hospital (GB)
UK Research and Innovation, Natural Environment Research Council
Openalex Percentile: Top 49%
Geological and Geochemical Analysis
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