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231226s2023 xx |||||o 00| ||eng c |
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|a 10.1016/j.cej.2023.143524
|2 doi
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|a pubmed24n1472.xml
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|a (DE-627)NLM360757278
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|a (NLM)37576334
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|a (PII)143524
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|a DE-627
|b ger
|c DE-627
|e rakwb
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|a eng
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|a Jones, Jason
|e verfasserin
|4 aut
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|a Accelerating radiochemistry development
|b Automated robotic platform for performing up to 64 droplet radiochemical reactions in a morning
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|c 2023
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
|b c
|2 rdamedia
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|a ƒa Online-Ressource
|b cr
|2 rdacarrier
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|a Date Revised 16.07.2024
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|a published: Print-Electronic
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|a Citation Status PubMed-not-MEDLINE
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|a The growing discovery and development of novel radiopharmaceuticals and radiolabeling methods requires an increasing capacity for radiochemistry experiments. However, such studies typically rely on radiosynthesizers designed for clinical batch production rather than research, greatly limiting throughput. Two general solutions are being pursued to address this: developing new synthesis optimization algorithms to minimize how many experiments are needed, and developing apparatus with enhanced experiment throughput. We describe here a novel high-throughput system based on performing arrays of droplet-based reactions at 10 μL volume scale in parallel. The automatic robotic platform can perform a set of 64 experiments in ~3 h (from isotope loading to crude product, plus sampling onto TLC plates), plus ~1 h for off-line radio-TLC analysis and radioactivity measurements, rather than the weeks or months that would be needed using a conventional system. We show the high repeatability and low crosstalk of the platform and demonstrate optimization studies for two 18F-labeled tracers. This novel automated platform greatly increases the practicality of performing arrays of droplet reactions by eliminating human error, vastly reducing tedium and fatigue, minimizing radiation exposure, and freeing up radiochemist time for other intellectually valuable pursuits
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|a Journal Article
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|a Automation
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|a Droplet Radiochemistry
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|a High-throughput Radiochemistry
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|a Microreactor
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|a Synthesis Optimization
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|a Do, Viviann
|e verfasserin
|4 aut
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|a Lu, Yingqing
|e verfasserin
|4 aut
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|a van Dam, R Michael
|e verfasserin
|4 aut
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|i Enthalten in
|t Chemical engineering journal (Lausanne, Switzerland : 1996)
|d 1999
|g 468(2023) vom: 15. Juli
|w (DE-627)NLM098273531
|x 1385-8947
|7 nnns
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|g volume:468
|g year:2023
|g day:15
|g month:07
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|u http://dx.doi.org/10.1016/j.cej.2023.143524
|3 Volltext
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