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一种机器人前生物化学家探测复杂混合物的长期反应。

A robotic prebiotic chemist probes long term reactions of complexifying mixtures.

机构信息

School of Chemistry, University of Glasgow, Joseph Black Building, University Avenue, Glasgow, UK.

出版信息

Nat Commun. 2021 Jun 10;12(1):3547. doi: 10.1038/s41467-021-23828-z.

Abstract

To experimentally test hypotheses about the emergence of living systems from abiotic chemistry, researchers need to be able to run intelligent, automated, and long-term experiments to explore chemical space. Here we report a robotic prebiotic chemist equipped with an automatic sensor system designed for long-term chemical experiments exploring unconstrained multicomponent reactions, which can run autonomously over long periods. The system collects mass spectrometry data from over 10 experiments, with 60 to 150 algorithmically controlled cycles per experiment, running continuously for over 4 weeks. We show that the robot can discover the production of high complexity molecules from simple precursors, as well as deal with the vast amount of data produced by a recursive and unconstrained experiment. This approach represents what we believe to be a necessary step towards the design of new types of Origin of Life experiments that allow testable hypotheses for the emergence of life from prebiotic chemistry.

摘要

为了从非生物化学角度实验性地检验关于生命系统出现的假说,研究人员需要能够进行智能、自动化和长期的实验,以探索化学空间。在这里,我们报告了一个配备了自动传感器系统的机器人前生物化学家,该系统旨在进行长期的化学实验,探索不受约束的多组分反应,能够自主运行很长时间。该系统从 10 多个实验中收集质谱数据,每个实验有 60 到 150 个算法控制的循环,连续运行超过 4 周。我们表明,机器人可以从简单的前体中发现高复杂度分子的产生,并且可以处理递归和不受约束的实验产生的大量数据。这种方法代表了我们认为朝着设计新类型的生命起源实验迈出的必要一步,这些实验允许对生命从原始化学中出现的假说进行可测试的检验。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/512e/8192940/f425258e53ac/41467_2021_23828_Fig1_HTML.jpg

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