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Cited by 409

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Acetylcholine and Choline in Neuronal Tissue Measured by HPLC with Electrochemical Detection

Potter, P. E., Meek, J. L., Neff, N. H.·1983·Journal of Neurochemistry

Abstract

Abstract: A simple, rapid method is presented for the determination of acetylcholine (ACh) and choline (Ch) in neuronal tissue using HPLC with electrochemical detection. The method is based on the separation of ACh and Ch by reverse‐phase HPLC and mixing the effluent as it emerges from the column with acetylcholinesterase and Ch oxidase, which converts endogenous Ch and Ch produced by the hydrolysis of ACh to betaine and hydrogen peroxide. Production of hydrogen peroxide is continuously monitored electrochemically. The sensitivity of the procedure is 1 pmol for Ch and 2 pmol for ACh. Specificity of the method is based on HPLC, two specific enzymatic reactions, and the detection of hydrogen peroxide.

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Registry

Crossref · 10.1111/j.1471-4159.1983.tb13668.x

Cites

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Metadata

Authors
Potter, P. E., Meek, J. L., & Neff, N. H.
Venue
Journal of Neurochemistry
Publisher
Wiley
Published
1983-01
Volume
41
Issue
1
Pages
188-194
ISSN
  • 0022-3042 (ISSN-L)
  • 1471-4159
OpenAlex
W2152929301
Cited by
409
References
5
FWCI
11.10
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Acetylcholine and Choline in Neuronal Tissue Measured by HPLC with Electrochemical Detection. https://app.cochat.ai/papers/10.1111/j.1471-4159.1983.tb13668.x
The paper
Potter, P. E., Meek, J. L., & Neff, N. H. (1983). Acetylcholine and Choline in Neuronal Tissue Measured by HPLC with Electrochemical Detection. Journal of Neurochemistry. https://doi.org/10.1111/j.1471-4159.1983.tb13668.x

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.