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Cited by 314

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

Analytical Chemistry of Nitric Oxide

Open access
Hetrick, Evan M., Schoenfisch, Mark H.·2009·Annual Review of Analytical Chemistry

Abstract

Nitric oxide (NO) is the focus of intense research primarily because of its wide-ranging biological and physiological actions. To understand its origin, activity, and regulation, accurate and precise measurement techniques are needed. Unfortunately, analytical assays for monitoring NO are challenged by NO's unique chemical and physical properties, including its reactivity, rapid diffusion, and short half-life. Moreover, NO concentrations may span the picomolar-to-micromolar range in physiological milieus, requiring techniques with wide dynamic response ranges. Despite such challenges, many analytical techniques have emerged for the detection of NO. Herein, we review the most common spectroscopic and electrochemical methods, with a focus on the underlying mechanism of each technique and on approaches that have been coupled with modern analytical measurement tools to create novel NO sensors.

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Crossref · 10.1146/annurev-anchem-060908-155146

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Metadata

Authors
Hetrick, E. M., & Schoenfisch, M. H.
Venue
Annual Review of Analytical Chemistry
Published
2009-07-19
Volume
2
Issue
1
Pages
409-433
ISSN
  • 1936-1327 (ISSN-L)
  • 1936-1335
OpenAlex
W2099782720
Cited by
314
References
9
FWCI
0.77
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Analytical Chemistry of Nitric Oxide. https://app.cochat.ai/papers/10.1146/annurev-anchem-060908-155146
The paper
Hetrick, E. M., & Schoenfisch, M. H. (2009). Analytical Chemistry of Nitric Oxide. Annual Review of Analytical Chemistry. https://doi.org/10.1146/annurev-anchem-060908-155146

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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.