Evidence map›Paper›PMID 38597398›Full record

ReviewAnalytical chemistry2024

Maximizing Electrochemical Information: A Perspective on Background-Inclusive Fast Voltammetry.

Cameron S Movassaghi, Miguel Alcañiz Fillol, Kenneth T Kishida, Gregory McCarty, Leslie A Sombers, Kate M Wassum, Anne Milasincic Andrews

Abstract readReview
In one paragraph

Review in Analytical chemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. 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

7 authors.

Cameron S MovassaghiDepartment of Chemistry and Biochemistry, University of California, Los Angeles, Los Angeles, California 90095, United States.ORCID 0000-0001-9345-0091
Miguel Alcañiz FillolInteruniversity Research Institute for Molecular Recognition and Technological Development, Universitat Politècnica de València-Universitat de València, Camino de Vera s/n, Valencia 46022, Spain.
Kenneth T KishidaDepartment of Translational Neuroscience, Wake Forest School of Medicine, Winston-Salem, North Carolina 27101, United States.ORCID 0000-0002-7394-8922
Gregory McCartyDepartment of Chemistry, North Carolina State University, Raleigh, North Carolina 27695, United States.
Leslie A SombersDepartment of Chemistry, North Carolina State University, Raleigh, North Carolina 27695, United States.ORCID 0000-0002-0978-9795
Kate M WassumDepartment of Psychology, University of California, Los Angeles, Los Angeles, California 90095, United States.
Anne Milasincic AndrewsDepartment of Chemistry and Biochemistry, University of California, Los Angeles, Los Angeles, California 90095, United States.ORCID 0000-0002-1961-4833

Funding

Wake Forest Clinical and Translational Science AwardUL1TR001420 · NCATS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ARD, JAMY D, FOLEY, KRISTIE L · 2015 to 2023
$32.3M
TROPANE EVALUATION AND GENERAL SCIENTIFIC SERVICES COREP50DA006634 · NIDA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI HOWLETT, ALLYN C · 1991 to 2019
$30.8M
Wake Forest Clinical and Translational Science AwardKL2TR001421 · NCATS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI MILLER, DAVID P · 2015 to 2023
$5.8M
Micro- to Nanoscale Neurochemical SensorsR01DA045550 · NIDA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ANDREWS, ANNE MILASINCIC · 2017 to 2021
$5.8M
Computational and electrochemical substrates of social decision-making in humansR01MH124115 · NIMH · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI GU, XIAOSI, KISHIDA, KENNETH TUCKER · 2020 to 2024
$5.1M
Neuro-computational Approach to Determine a Neurochemical Basis of Mood and DepressionR01MH121099 · NIMH · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI KISHIDA, KENNETH TUCKER · 2019 to 2023
$1.9M
Commercialization of Enzyme Modified Carbon-Fiber Electrodes Paired with Voltammetry for Simultaneous Real-Time Monitoring of Electroactive and Non-Electroactive Species at Discrete Brain LocationsR44MH119870 · NIMH · PINNACLE TECHNOLOGY, INC · PI JOHNSON, DAVID A, SOMBERS, LESLIE A · 2022 to 2023
$1.8M
Real-time neurochemical encoding of reward- and punishment-prediction errors and associated subjective experiences in humansR01DA048096 · NIDA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI KISHIDA, KENNETH TUCKER · 2019 to 2023
$1.7M
NCATS NIH HHS KL2 TR001421NCATS NIH HHS UL1 TR001420NIDA NIH HHS P50 DA006634NIDA NIH HHS R01 DA045550NIDA NIH HHS R01 DA048096NIMH NIH HHS R01 MH121099NIMH NIH HHS R01 MH124115NIMH NIH HHS R44 MH119870
6 · The paper itself

Abstract

This perspective encompasses a focused review of the literature leading to a tipping point in electroanalytical chemistry. We tie together the threads of a "revolution" quietly in the making for years through the work of many authors. Long-held misconceptions about the use of background subtraction in fast voltammetry are addressed. We lay out future advantages that accompany background-inclusive voltammetry, particularly when paired with modern machine-learning algorithms for data analysis.

Identifiers

PMID38597398
PMCPMC11044109

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.