Lunt Amy M, Fakhruldeen Hatem, Pizzuto Gabriella, Longley Louis, White Alexander, Rankin Nicola, Clowes Rob, Alston Ben, Gigli Lucia, Day Graeme M, Cooper Andrew I, Chong Samantha Y
Department of Chemistry and Materials Innovation Factory, University of Liverpool L7 3NY UK
Leverhulme Research Centre for Functional Materials Design, University of Liverpool Liverpool L7 3NY UK.
Chem Sci. 2023 Dec 26;15(7):2456-2463. doi: 10.1039/d3sc06206f. eCollection 2024 Feb 14.
Automation can transform productivity in research activities that use liquid handling, such as organic synthesis, but it has made less impact in materials laboratories, which require sample preparation steps and a range of solid-state characterization techniques. For example, powder X-ray diffraction (PXRD) is a key method in materials and pharmaceutical chemistry, but its end-to-end automation is challenging because it involves solid powder handling and sample processing. Here we present a fully autonomous solid-state workflow for PXRD experiments that can match or even surpass manual data quality, encompassing crystal growth, sample preparation, and automated data capture. The workflow involves 12 steps performed by a team of three multipurpose robots, illustrating the power of flexible, modular automation to integrate complex, multitask laboratories.
自动化可以提高使用液体处理的研究活动(如有机合成)的生产力,但在材料实验室中的影响较小,因为材料实验室需要样品制备步骤和一系列固态表征技术。例如,粉末X射线衍射(PXRD)是材料和药物化学中的一种关键方法,但其端到端的自动化具有挑战性,因为它涉及固体粉末处理和样品加工。在这里,我们展示了一种用于PXRD实验的完全自主的固态工作流程,其数据质量可以与手动操作相媲美甚至超越手动操作,该流程涵盖晶体生长、样品制备和自动数据采集。该工作流程由一组三个多功能机器人执行12个步骤,展示了灵活的模块化自动化在整合复杂的多任务实验室方面的强大作用。