The DOI matches its Crossref record.
Preparation of fatty acid methyl esters for gas‐chromatographic analysis of lipids in biological materials
Abstract
Theoretically, preparation of fatty acid methyl esters (FAMEs) deals with reversible chemical reactions in a complex system. Methodologically, there are numerous ways, generally characterized by the type of catalysts used and steps involved. Although there are more than a half dozen common catalysts, the majority fall into either acidic (HCl, H 2 SO 4 and BF 3) or alkaline types (NaOCH 3, KOH and NaOH), with each having its own catalytic capability and application limitations. In terms of steps, many conventional methods, including those officially recognized, consist of drying, digestion, extraction, purification, alkaline hydrolysis, transmethylation/methylation and postreaction work‐up. Although these methods are capable of providing reliable estimates if some precautions are taken, they are cumbersome, time‐consuming and cost‐inefficient. A new approach has been to transmethylate lipids in situ. Due to its simplicity, high sensitivity, comparable reliability and capability to determine total fatty acids, the method of direct transmethylation is finding a unique place in lipid determination. Regardless of which method is used, quantitative methylation requires chemists to take precautions at every step involved, particularly during FAME formation and subsequent recovery steps. Evidently, there is an urgent need for more systematic studies, guided by the chemical principle of reactions involved and physicochemical properties of regents and end products, into factors affecting these steps. Hopefully, this will lead to an improved method, which measures lipid composition in biological materials not only with high accuracy but also with high efficiency and minimum costs.
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
Cited by
BIODIESEL PRODUCTION FROM OILS AND FATS WITH HIGH FREE FATTY ACIDS
Canakci, M., & Gerpen, J. V. (2001) · Transactions of the ASAE · doi:10.13031/2013.7010 · Cited by 1,296
Advancements in development and characterization of biodiesel: A review
Sharma, Y. C., Singh, B., & Upadhyay, S. N. (2008) · Fuel · doi:10.1016/j.fuel.2008.01.014 · Cited by 1,121
A review on novel processes of biodiesel production from waste cooking oil
Talebian-Kiakalaieh, A., Amin, N. A. S., & Mazaheri, H. (2013) · Applied Energy · doi:10.1016/j.apenergy.2012.11.061 · Cited by 773
Biodiesel production from various feedstocks and their effects on the fuel properties
Canakci, M., & Sanli, H. (2008) · Journal of Industrial Microbiology & Biotechnology · doi:10.1007/s10295-008-0337-6 · Cited by 628
Rapeseed oil methyl esters preparation using heterogeneous catalysts
Gryglewicz, S. (1999) · Bioresource Technology · doi:10.1016/s0960-8524(99)00042-5 · Cited by 520
Furuta, S., Matsuhashi, H., & Arata, K. (2004) · Catalysis Communications · doi:10.1016/j.catcom.2004.09.001 · Cited by 503
Acid-catalyzed production of biodiesel from waste frying oil
Zheng, S., Kates, M., Dubé, M. A., & McLean, D. D. (2006) · Biomass and Bioenergy · doi:10.1016/j.biombioe.2005.10.004 · Cited by 434
Determination of Total Lipid, Lipid Classes, and Fatty Acids in Aquatic Samples
Parrish, C. C. (1999) · Lipids in Freshwater Ecosystems · doi:10.1007/978-1-4612-0547-0_2 · Cited by 431
Preparation of a sugar catalyst and its use for highly efficient production of biodiesel
Zong, M.-H., Duan, Z.-Q., Lou, W.-Y., Smith, T. J., & Wu, H. (2007) · Green Chemistry · doi:10.1039/b615447f · Cited by 388
Production of biodiesel: possibilities and challenges
Al‐Zuhair, S. (2007) · Biofuels, Bioproducts and Biorefining · doi:10.1002/bbb.2 · Cited by 385
Al-Hamamre, Z., Foerster, S., Hartmann, F., Kröger, M., & Kaltschmitt, M. (2012) · Fuel · doi:10.1016/j.fuel.2012.01.023 · Cited by 318
Griffiths, M. J., van Hille, R. P., & Harrison, S. T. L. (2010) · Lipids · doi:10.1007/s11745-010-3468-2 · Cited by 277
Identity, regulation, and activity of inducible diterpenoid phytoalexins in maize
Schmelz, E. A., Kaplan, F., Huffaker, A., Dafoe, N. J., Vaughan, M. M., Ni, X., Rocca, J. R., Alborn, H. T., & Teal, P. E. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1014714108 · Cited by 277
Biodiesel production from used cooking oil: a review
Mandolesi de Araújo, C. D., de Andrade, C. C., de Souza e Silva, E., & Dupas, F. A. (2013) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2013.06.014 · Cited by 275
(2001) · doi:10.13031/2013.4209 · Cited by 98
Metadata
- Authors
- Liu, K.
- Venue
- Journal of the American Oil Chemists' Society
- Publisher
- Wiley
- Published
- 1994-11
- Volume
- 71
- Issue
- 11
- Pages
- 1179-1187
- ISSN
- 0003-021X (ISSN-L)
- 1558-9331
- OpenAlex
- W2064424653
- Cited by
- 439
- References
- 0
- FWCI
- 3.39
- Type
- journal article
- Language
- en
- Open access
- closed
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
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.