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Reagent for the enzymatic determination of serum total cholesterol with improved lipolytic efficiency.

Siedel, J, Hägele, E O, Ziegenhorn, J, Wahlefeld, A W·1983·Clinical Chemistry

Abstract

We describe a sensitive method for quantifying the extent of cholesterol ester cleavage during enzymatic assay of total cholesterol in serum. Lipids are extracted from the assay mixture with chloroform/methanol (1/1 by vol), concentrated, then quantified by "high-performance" thin-layer chromatography. Although with conventional enzymatic reagents for determination of serum total cholesterol the hydrolysis of the cholesterol esters may be incomplete, a new enzymatic cholesterol reagent (Monotest Cholesterol, High Performance, Boehringer Mannheim) gives virtually complete cholesterol ester cleavage (i.e., greater than or equal to 99.5%). Use of this reagent with its improved lipolytic efficiency yields results for serum total cholesterol that are identical to those measured with a candidate reference procedure involving alkaline cholesterol ester saponification.

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Crossref · 10.1093/clinchem/29.6.1075

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Metadata

Authors
Siedel, J., Hägele, E. O., Ziegenhorn, J., & Wahlefeld, A. W.
Venue
Clinical Chemistry
Published
1983-06-01
Volume
29
Issue
6
Pages
1075-1080
ISSN
  • 0009-9147 (ISSN-L)
  • 1530-8561
OpenAlex
W2140089186
Cited by
942
References
0
FWCI
3.39
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Reagent for the enzymatic determination of serum total cholesterol with improved lipolytic efficiency. https://app.cochat.ai/papers/10.1093/clinchem/29.6.1075
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Siedel, J., Hägele, E. O., Ziegenhorn, J., & Wahlefeld, A. W. (1983). Reagent for the enzymatic determination of serum total cholesterol with improved lipolytic efficiency. Clinical Chemistry. https://doi.org/10.1093/clinchem/29.6.1075

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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.