Accelerating radiochemistry development: Automated robotic platform for performing up to 64 droplet radiochemical reactions in a morning.

Automation Droplet Radiochemistry High-throughput Radiochemistry Microreactor Synthesis Optimization

Journal

Chemical engineering journal (Lausanne, Switzerland : 1996)
ISSN: 1385-8947
Titre abrégé: Chem Eng J
Pays: Switzerland
ID NLM: 9892118

Informations de publication

Date de publication:
15 Jul 2023
Historique:
pmc-release: 15 07 2024
medline: 14 8 2023
pubmed: 14 8 2023
entrez: 14 8 2023
Statut: ppublish

Résumé

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

Identifiants

pubmed: 37576334
doi: 10.1016/j.cej.2023.143524
pmc: PMC10421640
mid: NIHMS1920106
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : NCI NIH HHS
ID : R21 CA212718
Pays : United States
Organisme : NIMH NIH HHS
ID : R44 MH097271
Pays : United States
Organisme : NIBIB NIH HHS
ID : R01 EB032264
Pays : United States
Organisme : NIH HHS
ID : S10 OD026942
Pays : United States
Organisme : NCI NIH HHS
ID : R33 CA240201
Pays : United States
Organisme : NIBIB NIH HHS
ID : T32 EB002101
Pays : United States

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Auteurs

Jason Jones (J)

Crump Institute of Molecular Imaging, University of California Los Angeles (UCLA),Los Angeles, CA, USA.
Physics and Biology in Medicine Interdepartmental Graduate Program, UCLA, USA.
Department of Molecular & Medical Pharmacology, David Geffen School of Medicine, UCLA, US.

Viviann Do (V)

Crump Institute of Molecular Imaging, University of California Los Angeles (UCLA),Los Angeles, CA, USA.
Department of Biochemistry, UCLA, USA.

Yingqing Lu (Y)

Crump Institute of Molecular Imaging, University of California Los Angeles (UCLA),Los Angeles, CA, USA.
Physics and Biology in Medicine Interdepartmental Graduate Program, UCLA, USA.
Department of Molecular & Medical Pharmacology, David Geffen School of Medicine, UCLA, US.

R Michael van Dam (RM)

Crump Institute of Molecular Imaging, University of California Los Angeles (UCLA),Los Angeles, CA, USA.
Physics and Biology in Medicine Interdepartmental Graduate Program, UCLA, USA.
Department of Molecular & Medical Pharmacology, David Geffen School of Medicine, UCLA, US.
Department of Bioengineering, Henry Samueli School of Engineering and Applied Science, UCLA, USA.

Classifications MeSH