An automated photo-isomerisation and kinetics characterisation system for molecular photoswitches.

IF 6.2 Q1 CHEMISTRY, MULTIDISCIPLINARY
Jacob Lynge Elholm, Paulius Baronas, Paul A Gueben, Victoria Gneiting, Helen Hölzel, Kasper Moth-Poulsen
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引用次数: 0

Abstract

Physical chemistry parameters such as absorbance, photoconversion quantum yield, and thermal half-lives are crucial for the characterisation of new molecular photoswitch systems. In a traditional workflow, these parameters are challenging and time-consuming to measure. In this paper, a high-throughput flow-based photoswitch characterisation platform with a built-in broad-spectrum LED array and thermal back-conversion capabilities is developed with UV-Vis spectroscopic analysis tools to reduce materials consumption, limit laborous workflows, and improve experimental reproducibility. Following the experiments, an in-house developed Python program is used for easy and fast data analysis. The program is designed to be able to analyse different types of photoswitches depending on the molecular properties. The specific components and configurations are detailed, enabling reproducibility and adaptation to various experimental needs. This system demonstrates the potential for efficient, high-throughput analysis in spectroscopic studies. Wide applicability is underlined by showing the results and comparison of three different photoswitch types, norbornadienes, bicyclooctadienes, and azobenzenes. The results we obtain are in good agreement with reported values in the literature.

分子光开关的自动光异构化和动力学表征系统。
物理化学参数,如吸光度,光转换量子产率和热半衰期是表征新的分子光开关系统的关键。在传统的工作流程中,测量这些参数是具有挑战性和耗时的。本文利用UV-Vis光谱分析工具,开发了一个内置广谱LED阵列和热反转换功能的高通量流型光开关表征平台,以减少材料消耗,限制人工工作流程,提高实验可重复性。在实验之后,使用内部开发的Python程序进行简单快速的数据分析。该程序旨在能够根据分子特性分析不同类型的光开关。具体的组件和配置是详细的,使重现性和适应各种实验需要。该系统展示了在光谱研究中高效、高通量分析的潜力。通过展示三种不同类型的光开关,降冰片二烯,双环二烯和偶氮苯的结果和比较,强调了广泛的适用性。我们得到的结果与文献报道值很好地一致。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
2.80
自引率
0.00%
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