Modern automated sample preparation for the determination of organic compounds: A review on robotic and on-flow systems

Medina, Deyber Arley Vargas; Maciel, Edvaldo Vasconcelos Soares; Lanças, Fernando Mauro

doi:10.1016/j.trac.2023.117171

Cited by 26 publications

(16 citation statements)

References 193 publications

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“…101,129 Additionally, the SPME throughput can be further enhanced by the combination of multi-SPME devices in 96-well plates and other robotic systems, achieving high throughput with less than 1 min of sample preparation per sample. 101,130,131 As an example, do Carmo et al 132 have integrated thin film (TF)-SPME into 96well plate system for the high-throughput determination of estrogens in human urine, with only 37 μL of the sample being necessary and 1.7 min sample preparation time per analysis.…”

Section: Analytical Chemistry Pubsacsorg/acmentioning

confidence: 99%

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Evolution of Green Sample Preparation: Fostering a Sustainable Tomorrow in Analytical Sciences

Martínez-Pérez-Cejuela,

Gionfriddo

2024

Anal. Chem.

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Section: Analytical Chemistry Pubsacsorg/acmentioning

confidence: 99%

“…Delving deeper into the subject of automation, we will focus on on-flow operation, LiS, LoV, and lab-on-chip (LoC), although other strategies like homemade robotics systems or traditional flow systems (SIA or FIA) are described in the literature …”

Section: Green Sample Preparationmentioning

confidence: 99%

Evolution of Green Sample Preparation: Fostering a Sustainable Tomorrow in Analytical Sciences

Martínez-Pérez-Cejuela,

Gionfriddo

2024

Anal. Chem.

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“…The development of high-throughput analysis (HTA) continues to flourish in fast-paced pharmaceutical laboratories. − Advanced technologies, including automated liquid handling systems, robotics, and high-performance analytical instrumentations, enable scientists to make informed decisions quickly, leading to faster advancements in pharmaceutical developments. − HTA allows for rapid screening of drug candidates, evaluation of their physicochemical properties, synthesis and process optimization, assessment of drug efficacy, and determination of impurities or contaminants in drug formulations while also enhancing efficiency, improving data quality, and reducing costs.…”

Section: Introductionmentioning

confidence: 99%

Accelerating Pharmaceutical Process Development with an Acoustic Droplet Ejection-Multiple Reaction Monitoring-Mass Spectrometry Workflow

Hu,

Singh,

Lehnherr

et al. 2024

Anal. Chem.

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Fast-paced pharmaceutical process developments (e.g., high-throughput experimentation, directed evolution, and machine learning) involve the introduction of fast, sensitive, and accurate analytical assays using limited sample volumes. In recent years, acoustic droplet ejection (ADE) coupled with an open port interface has been invented as a sampling technology for mass spectrometry, providing high-throughput nanoliter analytical measurements directly from the standard microplates. Herein, we introduce an ADE-multiple reaction monitoring-mass spectrometry (ADE-MRM-MS) workflow to accelerate pharmaceutical process research and development (PR&D). This systematic workflow outlines the selection of MRM transitions and optimization of assay parameters in a data-driven manner using rapid measurements (1 sample/s). The synergy between ADE sampling and MRM analysis enables analytical assays with excellent sensitivity, selectivity, and speed for PR&D reaction screenings. This workflow was utilized to develop new ADE-MRM-MS assays guiding a variety of industrial processes, including (1) screening of Ni-based catalysts for C−N cross-coupling reaction at 1 Hz and (2) high-throughput regioisomer analysis-enabled enzyme library screening for peptide ligation reaction. ADE-MRM-MS assays were demonstrated to deliver accurate results that are comparable to conventional liquid chromatography (LC) experiments while providing >100-fold throughput enhancement.

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“…The integration of robotic systems in biological research has revolutionized our ability to conduct complex assays [11]. Within the context of wound healing, robotics-assisted automation provides a compelling opportunity to develop a reproducible, high-throughput, and adaptable wound healing assay that can be used for evaluating reprogramming strategies geared towards accelerating the healing process.…”

Section: Introductionmentioning

confidence: 99%

Automated In Vitro Wound Healing Assay

Cwycyshyn,

Stansbury,

Meixner

et al. 2023

Preprint

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Wound healing is crucial for the restoration of the epidermal barrier in response to injury. This dynamic process requires an intricate orchestration of cellular migration and proliferation. Our understanding of the intra-cellular signalling mechanisms that initialize, cease, and balance migration and proliferation during wound healing remains incomplete. Wound healing assays are a frequently used approach to examine this complex relationship in vitro. However, existing assays suffer from limited reproducibility, low throughput, and inflexibility in experimental design. We have developed the Automated Wound Healing (AWH) assay, a high-throughput robotics-assisted technique for reproducible wound creation and automated time-lapse image analysis. Wounds are designed as Computer-aided design (CAD) models and recreated in confluent cell layers by the BioAssemblyBot (BAB) 3D-bioprinting platform. The dynamics of migration and proliferation in individual cells are evaluated over the course of wound closure using live-cell fluorescence microscopy and our image processing pipeline. The AWH assay outperforms the standard scratch assay with enhanced consistency in wound geometry. Our ability to create diverse wound shapes in any multi-well plate with the BAB not only allows for multiple experimental conditions to be analyzed in parallel but also offers versatility in the design of wound healing experiments. Our method emerges as a valuable tool for the automated completion and analysis of high-throughput, reproducible, and adaptable in vitro wound healing assays.

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Modern automated sample preparation for the determination of organic compounds: A review on robotic and on-flow systems

Cited by 26 publications

References 193 publications

Evolution of Green Sample Preparation: Fostering a Sustainable Tomorrow in Analytical Sciences

Evolution of Green Sample Preparation: Fostering a Sustainable Tomorrow in Analytical Sciences

Accelerating Pharmaceutical Process Development with an Acoustic Droplet Ejection-Multiple Reaction Monitoring-Mass Spectrometry Workflow

Automated In Vitro Wound Healing Assay

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