首页|University of Kansas Reports Findings in Robotics (Optimization of a Hydrogen Exchange-Mass Spectrometry Robotic Liquid Handler Using Tracers)

University of Kansas Reports Findings in Robotics (Optimization of a Hydrogen Exchange-Mass Spectrometry Robotic Liquid Handler Using Tracers)

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New research on Robotics is the subject of a report. According to news reporting originating in Lawrence, Kansas, by NewsRx journalists, research stated, “Hydrogen exchange-mass spectrometry (HX-MS) is a valuable analytical technique that can provide insight into protein interactions and structure. The deuterium labeling necessary to gain this insight is affected by many physical and chemical factors, making it challenging to achieve high reproducibility.” The news reporters obtained a quote from the research from the University of Kansas, “Poor precision during dispensing, transfer, and mixing of solutions during the experiment contributes substantially to the overall variability. While the use of a robotic liquid handler can potentially improve precision, its operation must be optimized. We observed poor precision in data collected using a robotic liquid handler to perform HX-MS. In this work, we describe how we were able to improve that system's precision considerably based on tracking performance using caffeine, caffeine-, and caffeine- as tracers for the sample, label, and quench to report on each operation of the liquid handling workflow. The insights gained about liquid handler performance and the three-tracer approach can aid in optimizing HX-MS workflow operations, whether performed manually or when using a liquid handling system.”

LawrenceKansasUnited StatesNorth and Central AmericaElementsEmerging TechnologiesGasesHydrogenInorganic ChemicalsMachine LearningRoboticsRobots

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Feb.5)