Laboratory and Computational Studies of Interstellar Ices

IF 3.9 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS ACS Synthetic Biology Pub Date : 2024-06-07 DOI:10.1146/annurev-astro-071221-052732
H. Cuppen, H. Linnartz, S. Ioppolo
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Abstract

Ice mantles play a crucial role in shaping the astrochemical inventory of molecules during star and planet formation. Small-scale molecular processes have a profound impact on large-scale astronomical evolution. The areas of solid-state laboratory astrophysics and computational chemistry involve the study of these processes. We review laboratory efforts in ice spectroscopy, methodological advances and challenges, and laboratory and computational studies of ice physics and ice chemistry. We place the last of these in context with ice evolution from clouds to disks. Three takeaway messages from this review are: ▪ Laboratory and computational studies allow interpretation of astronomical ice spectra in terms of identification, ice morphology, and local environmental conditions as well as the formation of the involved chemical compounds. ▪ A detailed understanding of the underlying processes is needed to build reliable astrochemical models to make predictions about abundances in space. ▪ The relative importance of the different ice processes studied in the laboratory and computationally changes during the process of star and planet formation.
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星际冰川的实验室和计算研究
在恒星和行星形成过程中,冰幔在形成天体化学分子库方面起着至关重要的作用。小规模的分子过程对大规模的天文演化有着深远的影响。固态实验室天体物理学和计算化学领域涉及对这些过程的研究。我们回顾了实验室在冰光谱学方面的工作、方法学方面的进展和挑战,以及冰物理学和冰化学的实验室和计算研究。我们将最后一项研究与冰从云到盘的演化过程结合起来。本综述的三个启示是 实验室和计算研究可以从识别、冰的形态、当地环境条件以及相关化合物的形成等方面解释天文冰的光谱。 需要详细了解基本过程,以建立可靠的天体化学模型,对太空中的丰度进行预测。 在恒星和行星形成过程中,在实验室和计算中研究的不同冰过程的相对重要性会发生变化。
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来源期刊
CiteScore
8.00
自引率
10.60%
发文量
380
审稿时长
6-12 weeks
期刊介绍: The journal is particularly interested in studies on the design and synthesis of new genetic circuits and gene products; computational methods in the design of systems; and integrative applied approaches to understanding disease and metabolism. Topics may include, but are not limited to: Design and optimization of genetic systems Genetic circuit design and their principles for their organization into programs Computational methods to aid the design of genetic systems Experimental methods to quantify genetic parts, circuits, and metabolic fluxes Genetic parts libraries: their creation, analysis, and ontological representation Protein engineering including computational design Metabolic engineering and cellular manufacturing, including biomass conversion Natural product access, engineering, and production Creative and innovative applications of cellular programming Medical applications, tissue engineering, and the programming of therapeutic cells Minimal cell design and construction Genomics and genome replacement strategies Viral engineering Automated and robotic assembly platforms for synthetic biology DNA synthesis methodologies Metagenomics and synthetic metagenomic analysis Bioinformatics applied to gene discovery, chemoinformatics, and pathway construction Gene optimization Methods for genome-scale measurements of transcription and metabolomics Systems biology and methods to integrate multiple data sources in vitro and cell-free synthetic biology and molecular programming Nucleic acid engineering.
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