ReviewACS chemical neuroscience2025
Progress toward Multianalyte Neurochemical Detection: Techniques and Applications.
Review in ACS chemical neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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.
The trial behind it
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0 citing papers in PubMed.
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Authors and funding
3 authors.
Funding
Abstract
Brain function is shaped by the coordinated activity of billions of neurons. The neurotransmitters and neuromodulators released from these neurons work together to modulate circuit function and, ultimately, behavior. Electroanalytical technologies are particularly valuable for simultaneous detection of multiple biomolecular targets in a single assay. However, to date, most studies that have investigated rapid neurochemical dynamics have targeted a single analyte at a time─usually dopamine. Information on how chemical signals fluctuate relative to one another is largely limited to assays that use electrode arrays (with one target per recording site), while multianalyte detection at single electrodes remains relatively under-developed. This review provides a comprehensive discussion of the strengths and weaknesses associated with classic approaches to molecular monitoring in the brain─microdialysis sampling, electroanalytical techniques, and photometric approaches─and key advances toward multianalyte sensing at single recording sites. The codetection of multiple analytes at the same space and time promises to provide an entirely new perspective on brain function (and dysfunction) that can be exploited to inform on the development of improved therapeutic strategies to treat neurological disorders, broadly speaking.
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Registered trials
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.