The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Analytical methods for cholesterol quantification
Open accessAbstract
Cholesterol is an important lipid molecule in cell membranes and lipoproteins. Cholesterol is also a precursors of steroid hormones, bile acids, and vitamin D. Abnormal levels of cholesterol or its precursors have been observed in various human diseases, such as heart diseases, stroke, type II diabetes, brain diseases and many others. Therefore, accurate quantification of cholesterol is important for individuals who are at increased risk for these diseases. Multiple analytical methods have been developed for analysis of cholesterol, including classical chemical methods, enzymatic assays, gas chromatography (GC), liquid chromatography (LC), and mass spectrometry (MS). Strategy known as ambient ionization mass spectrometry (AIMS), operating at atmospheric pressure, with only minimal sample pretreatments for real time, in situ, and rapid interrogation of the sample has also been employed for quantification of cholesterol. In this review, we summarize the most prevalent methods for cholesterol quantification in biological samples and foods. Nevertheless, we highlight several new technologies, such as AIMS, used as alternative methods to measure cholesterol that are potentially next-generation platforms. Representative examples of molecular imaging of cholesterol in tissue sections are also included in this review article.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Grundy, S. M., Cleeman, J. I., Merz, C. N. B., Brewer, H. B., Clark, L. T., Hunninghake, D. B., Pasternak, R. C., Smith, S. C., & Stone, N. J. (2004) · Circulation · doi:10.1161/01.cir.0000133317.49796.0e · Cited by 6,902
Molecular Imaging of Biological Samples: Localization of Peptides and Proteins Using MALDI-TOF MS
Caprioli, R. M., Farmer, T. B., & Gile, J. (1997) · Analytical Chemistry · doi:10.1021/ac970888i · Cited by 2,234
A Century of Cholesterol and Coronaries: From Plaques to Genes to Statins
Goldstein, J. L., & Brown, M. S. (2015) · Cell · doi:10.1016/j.cell.2015.01.036 · Cited by 1,233
Malformation syndromes caused by disorders of cholesterol synthesis
Porter, F. D., & Herman, G. E. (2011) · Journal of Lipid Research · doi:10.1194/jlr.r009548 · Cited by 473
Cholesterol in brain disease: Sometimes determinant and frequently implicated
Martín, M. G., Pfrieger, F., & Dotti, C. G. (2014) · The EMBO Reports · doi:10.15252/embr.201439225 · Cited by 304
Boyer, J. L. (2013) · Comprehensive Physiology · doi:10.1002/j.2040-4603.2013.tb00519.x · Cited by 124
Can Cholesterol Metabolism Modulation Affect Brain Function and Behavior?
Cartocci, V., Servadio, M., Trezza, V., & Pallottini, V. (2017) · Journal of Cellular Physiology · doi:10.1002/jcp.25488 · Cited by 77
Metadata
- Authors
- Li, L.-H., Dutkiewicz, E. P., Huang, Y.-C., Zhou, H.-B., & Hsu, C.-C.
- Venue
- Journal of Food and Drug Analysis
- Published
- 2019-04
- Volume
- 27
- Issue
- 2
- Pages
- 375-386
- ISSN
- 1021-9498 (ISSN-L)
- OpenAlex
- W2895343331
- Cited by
- 160
- References
- 7
- FWCI
- 4.11
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Analytical methods for cholesterol quantification. https://app.cochat.ai/papers/10.1016/j.jfda.2018.09.001
- The paper
- Li, L.-H., Dutkiewicz, E. P., Huang, Y.-C., Zhou, H.-B., & Hsu, C.-C. (2019). Analytical methods for cholesterol quantification. Journal of Food and Drug Analysis. https://doi.org/10.1016/j.jfda.2018.09.001
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.