Evidence map›Paper›PMID 37576334›Full record

ArticleChemical engineering journal (Lausanne, Switzerland : 1996)2023

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

Jason Jones, Viviann Do, Yingqing Lu, R Michael van Dam

Abstract read
In one paragraph

Article in Chemical engineering journal (Lausanne, Switzerland : 1996), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Jason JonesCrump Institute of Molecular Imaging, University of California Los Angeles (UCLA),Los Angeles, CA, USA.
Viviann DoCrump Institute of Molecular Imaging, University of California Los Angeles (UCLA),Los Angeles, CA, USA.
Yingqing LuCrump Institute of Molecular Imaging, University of California Los Angeles (UCLA),Los Angeles, CA, USA.
R Michael van DamCrump Institute of Molecular Imaging, University of California Los Angeles (UCLA),Los Angeles, CA, USA.

Funding

Research Training in Biomedical PhysicsT32EB002101 · NIBIB · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Michael F McNitt-Gray · 2003 to 2026
$5.3M
Commercialization of a Benchtop Radiosynthesizer for the Production of PET ProbesR44MH097271 · NIMH · SOFIE BIOSCIENCES, INC. · PI MOORE, MELISSA · 2013 to 2018
$3.8M
Accelerating the discovery and development of neurotracers via high-throughput radiochemistryR01EB032264 · NIBIB · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CHATZIIOANNOU, ARION XENOFON, VAN DAM, ROBERT MICHAEL · 2022 to 2025
$2.7M
Optimization and validation of integrated microscale technologies for low-cost, automated production of PET molecular imaging tracers for cancer researchR33CA240201 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI VAN DAM, ROBERT MICHAEL · 2019 to 2021
$1.1M
High-throughput radiochemistry platform for accelerated discovery and development of novel PET imaging agents for cancerR21CA212718 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI VAN DAM, ROBERT MICHAEL · 2017 to 2018
$616k
Radio-UPLC-MS for high-throughput analysis of short-lived radiolabeled compoundsS10OD026942 · OD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI VAN DAM, ROBERT MICHAEL · 2019 to 2019
$199k
NCI NIH HHS R21 CA212718NCI NIH HHS R33 CA240201NIBIB NIH HHS R01 EB032264NIBIB NIH HHS T32 EB002101NIH HHS S10 OD026942NIMH NIH HHS R44 MH097271
6 · The paper itself

Abstract

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

Indexed as

AutomationDroplet RadiochemistryHigh-throughput RadiochemistryMicroreactorSynthesis Optimization

Identifiers

PMID37576334
PMCPMC10421640

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.