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Serum triglycerides determined colorimetrically with an enzyme that produces hydrogen peroxide.

Fossati, P, Prencipe, L·1982·Clinical Chemistry

Abstract

In this direct colorimetric procedure, serum triglycerides are hydrolyzed by lipase, and the released glycerol is assayed in a reaction catalyzed by glycerol kinase and L-alpha-glycerol-phosphate oxidase in a system that generates hydrogen peroxide. The hydrogen peroxide is monitored in the presence of horseradish peroxidase with 3,5-dichloro-2-hydroxybenzenesulfonic acid/4-aminophenazone as the chromogenic system. The high absorbance of this chromogen system at 510 nm affords useful results with a sample/reagent volume ratio as low as 1:150, and a blank sample measurement is not needed. A single, stable working reagent is used; the reaction is complete in 15 min at room temperature. The standard curve is linear for triglyceride concentrations as great as 13.6 mmol/L. Average analytical recovery of triglycerides in human sera is 100.1%, and within-run and between-run precision studies showed CVs of less than or equal to 1.6 and less than or equal to 3.0%, respectively. The method is suitable for automation.

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Metadata

Authors
Fossati, P., & Prencipe, L.
Venue
Clinical Chemistry
Published
1982-10-01
Volume
28
Issue
10
Pages
2077-2080
ISSN
  • 0009-9147 (ISSN-L)
  • 1530-8561
OpenAlex
W2154774609
Cited by
2,905
References
0
FWCI
2.41
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Serum triglycerides determined colorimetrically with an enzyme that produces hydrogen peroxide. https://app.cochat.ai/papers/10.1093/clinchem/28.10.2077
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Fossati, P., & Prencipe, L. (1982). Serum triglycerides determined colorimetrically with an enzyme that produces hydrogen peroxide. Clinical Chemistry. https://doi.org/10.1093/clinchem/28.10.2077

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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.