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Chemical Diversity of Metal Sulfide Minerals and Its Implications for the Origin of Life
Prebiotic organic synthesis catalyzed by Earth-abundant metal sulfides is a key process for understanding the evolution of biochemistry from inorganic molecules, yet the catalytic functions of sulfides have remained poorly explored in the context of the origin of life. Past studies on prebiotic chem...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6316247/ https://www.ncbi.nlm.nih.gov/pubmed/30308967 http://dx.doi.org/10.3390/life8040046 |
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author | Li, Yamei Kitadai, Norio Nakamura, Ryuhei |
author_facet | Li, Yamei Kitadai, Norio Nakamura, Ryuhei |
author_sort | Li, Yamei |
collection | PubMed |
description | Prebiotic organic synthesis catalyzed by Earth-abundant metal sulfides is a key process for understanding the evolution of biochemistry from inorganic molecules, yet the catalytic functions of sulfides have remained poorly explored in the context of the origin of life. Past studies on prebiotic chemistry have mostly focused on a few types of metal sulfide catalysts, such as FeS or NiS, which form limited types of products with inferior activity and selectivity. To explore the potential of metal sulfides on catalyzing prebiotic chemical reactions, here, the chemical diversity (variations in chemical composition and phase structure) of 304 natural metal sulfide minerals in a mineralogy database was surveyed. Approaches to rationally predict the catalytic functions of metal sulfides are discussed based on advanced theories and analytical tools of electrocatalysis such as proton-coupled electron transfer, structural comparisons between enzymes and minerals, and in situ spectroscopy. To this end, we introduce a model of geoelectrochemistry driven prebiotic synthesis for chemical evolution, as it helps us to predict kinetics and selectivity of targeted prebiotic chemistry under “chemically messy conditions”. We expect that combining the data-mining of mineral databases with experimental methods, theories, and machine-learning approaches developed in the field of electrocatalysis will facilitate the prediction and verification of catalytic performance under a wide range of pH and Eh conditions, and will aid in the rational screening of mineral catalysts involved in the origin of life. |
format | Online Article Text |
id | pubmed-6316247 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-63162472019-01-10 Chemical Diversity of Metal Sulfide Minerals and Its Implications for the Origin of Life Li, Yamei Kitadai, Norio Nakamura, Ryuhei Life (Basel) Review Prebiotic organic synthesis catalyzed by Earth-abundant metal sulfides is a key process for understanding the evolution of biochemistry from inorganic molecules, yet the catalytic functions of sulfides have remained poorly explored in the context of the origin of life. Past studies on prebiotic chemistry have mostly focused on a few types of metal sulfide catalysts, such as FeS or NiS, which form limited types of products with inferior activity and selectivity. To explore the potential of metal sulfides on catalyzing prebiotic chemical reactions, here, the chemical diversity (variations in chemical composition and phase structure) of 304 natural metal sulfide minerals in a mineralogy database was surveyed. Approaches to rationally predict the catalytic functions of metal sulfides are discussed based on advanced theories and analytical tools of electrocatalysis such as proton-coupled electron transfer, structural comparisons between enzymes and minerals, and in situ spectroscopy. To this end, we introduce a model of geoelectrochemistry driven prebiotic synthesis for chemical evolution, as it helps us to predict kinetics and selectivity of targeted prebiotic chemistry under “chemically messy conditions”. We expect that combining the data-mining of mineral databases with experimental methods, theories, and machine-learning approaches developed in the field of electrocatalysis will facilitate the prediction and verification of catalytic performance under a wide range of pH and Eh conditions, and will aid in the rational screening of mineral catalysts involved in the origin of life. MDPI 2018-10-10 /pmc/articles/PMC6316247/ /pubmed/30308967 http://dx.doi.org/10.3390/life8040046 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Li, Yamei Kitadai, Norio Nakamura, Ryuhei Chemical Diversity of Metal Sulfide Minerals and Its Implications for the Origin of Life |
title | Chemical Diversity of Metal Sulfide Minerals and Its Implications for the Origin of Life |
title_full | Chemical Diversity of Metal Sulfide Minerals and Its Implications for the Origin of Life |
title_fullStr | Chemical Diversity of Metal Sulfide Minerals and Its Implications for the Origin of Life |
title_full_unstemmed | Chemical Diversity of Metal Sulfide Minerals and Its Implications for the Origin of Life |
title_short | Chemical Diversity of Metal Sulfide Minerals and Its Implications for the Origin of Life |
title_sort | chemical diversity of metal sulfide minerals and its implications for the origin of life |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6316247/ https://www.ncbi.nlm.nih.gov/pubmed/30308967 http://dx.doi.org/10.3390/life8040046 |
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