Digital pipette: open hardware for liquid transfer in self-driving laboratories

Yoshikawa, Naruki; Darvish, Kourosh; Vakili, Mohammad Ghazi; Garg, Animesh; Aspuru-Guzik, Alán

doi:10.1039/d3dd00115f

Cited by 10 publications

(5 citation statements)

References 17 publications

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“…3D printers have been utilized for producing microfluidic devices 62 or building a pipette for a two-finger robot hand to enable accurate liquid handling. 63 Open hardware is beneficial to lowering the cost of building SDLs and their customizability is helpful in meeting individual requirements in different experimental settings which are not met by existing commercial hardware. 64 However, the technical difficulty of setting up open hardware and the wide variety of similar hardware proposals hinder widespread adoption in laboratories other than the developers of the hardware.…”

Section: Open Hardware For Lab Automationmentioning

confidence: 99%

Self-Driving Laboratories for Chemistry and Materials Science

Tom,

Schmid,

Baird

et al. 2024

Preprint

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Self-driving laboratories (SDLs) promise an accelerated application of the scientific method. Through the automation of experimental workflows, along with the autonomization of experiment planning, SDLs hold the potential to greatly accelerate research in chemistry and materials discovery. This review article provides an in-depth analysis of the state-of-the-art in SDL technology, its applications across various scientific disciplines, and the potential implications for research, and industry. This review additionally provides an overview of the enabling technologies for SDLs, including their hardware, software, and integration with laboratory infrastructure. Most importantly, this review explores the diverse range of scientific domains where SDLs have made significant contributions, from drug discovery and materials science to genomics and chemistry. We provide a comprehensive review of existing real-world examples of SDLs, their different levels of automation, and the challenges and limitations associated with each domain.

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Section: Open Hardware For Lab Automationmentioning

confidence: 99%

Self-Driving Laboratories for Chemistry and Materials Science

Tom,

Schmid,

Baird

et al. 2024

Preprint

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“…While parallelization is well adapted to automated high-throughput calculations, device costs, access to reagents/consumables, and space limitations generally impede the broad application of parallelled automated experimentation. Recent initiatives within the open-source hardware and software community, 10 in tandem with the "maker movement", 11 o er promising solutions, emphasizing customizability and cost-e ectiveness. The computer-driven, self-diagnosing nature of SDLs facilitates on-the-y decision-making, potentially generating consistent and reproducible experimental data in both human and machine-readable formats.…”

Section: Introductionmentioning

confidence: 99%

An affordable platform for automated synthesis and electrochemical characterization

Pablo-García,

García,

Deniz Akkoc

et al. 2024

Preprint

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Electrochemical techniques are pivotal for material discovery and renewable energy; however, often the extensive chemical spaces to be explored require high-throughput experimentation (HTE) to ensure timely results, which are costly both for instrument and materials/consumables. While self-driving laboratories (SDL) promise efficient chemical exploration, most contemporary implementations demand significant time, economic investment, and expertise. This study introduces an open and cost-effective autonomous electrochemical setup, comprising a synthesis platform and a custom-designed potentiostat device. We present an SDL platform that offers rapid deployment and extensive control over electrochemical experiments compared to commercial alternatives. Using ChemOS 2.0 for orchestration, we showcase our setup's capabilities through a campaign in which different metal ions reacts with ligands to form coordination compounds., yielding a database of 400 electrochemical measurements. Committed to open science, we provide a potentiostat design, campaign software, and raw data, aiming to democratize customized components in SDLs and ensure transparent data sharing and reproducibility.

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“…). While a plethora of automated tools are now commercially available or have been reported in the literature, 1–7 many basic tasks that are performed in a laboratory setting remain challenging to implement through automated methods. In particular, the transfer of liquids with viscosities larger than 100 cP is a task that is still challenging to automate, 8 while being of high relevance to the fields of biology, polymer, and formulation sciences.…”

Section: Introductionmentioning

confidence: 99%