The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.
Chemical Composition of Commercial Cow’s Milk
Abstract
Bovine milk is a nutritionally rich, chemically complex biofluid consisting of hundreds of different components. While the chemical composition of cow's milk has been studied for decades, much of this information is fragmentary and very dated. In an effort to consolidate and update this information, we have applied modern, quantitative metabolomics techniques along with computer-aided literature mining to obtain the most comprehensive and up-to-date characterization of the chemical constituents in commercial cow's milk. Using nuclear magnetic resonance (NMR) spectroscopy, liquid chromatography-mass spectrometry (LC-MS), and inductively coupled plasma-mass spectrometry (ICP-MS), we were able to identify and quantify 296 bovine milk metabolites or metabolite species (corresponding to 1447 unique structures) from a variety of commercial milk samples. Through our literature analysis, we also found another 676 metabolites or metabolite species (corresponding to 908 unique structures). Detailed information regarding all 2355 of the identified chemicals in bovine milk have been made freely available through a Web-accessible database called the Milk Composition Database or MCDB ( http://www.mcdb.ca/ ).
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Evolution, consequences and future of plant and animal domestication
Diamond, J. (2002) · Nature · doi:10.1038/nature01019 · Cited by 1,776
Psychogios, N., Hau, D. D., Peng, J., Guo, A. C., Mandal, R., Bouatra, S., Sinelnikov, I., Krishnamurthy, R., Eisner, R., Gautam, B., et al. (2011) · PLoS ONE · doi:10.1371/journal.pone.0016957 · Cited by 1,703
Self-citationDairy Chemistry and Biochemistry
Fox, P. F., Uniacke-Lowe, T., McSweeney, P. L. H., & O'Mahony, J. A. (2015) · Springer eBooks · doi:10.1007/978-3-319-14892-2 · Cited by 1,596
Bouatra, S., Aziat, F., Mandal, R., Guo, A. C., Wilson, M. R., Knox, C., Bjorndahl, T. C., Krishnamurthy, R., Saleem, F., Liu, P., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0073076 · Cited by 1,449
Self-citationPhenol-Explorer: an online comprehensive database on polyphenol contents in foods
Neveu, V., Perez-Jimenez, J., Vos, F., Crespy, V., du Chaffaut, L., Mennen, L., Knox, C., Eisner, R., Cruz, J., Wishart, D., et al. (2010) · Database · doi:10.1093/database/bap024 · Cited by 1,439
Self-citationPhysico-chemical characteristics of goat and sheep milk
Park, Y. W., Juárez, M., Ramos, M., & Haenlein, G. F. W. (2007) · Small Ruminant Research · doi:10.1016/j.smallrumres.2006.09.013 · Cited by 1,426
Feed and Animal Factors Influencing Milk Fat Composition
Palmquist, D. L., Denise Beaulieu, A., & Barbano, D. M. (1993) · Journal of Dairy Science · doi:10.3168/jds.s0022-0302(93)77508-6 · Cited by 895
Rothwell, J. A., Perez-Jimenez, J., Neveu, V., Medina-Remon, A., M'Hiri, N., Garcia-Lobato, P., Manach, C., Knox, C., Eisner, R., Wishart, D. S., et al. (2013) · Database · doi:10.1093/database/bat070 · Cited by 881
Self-citationGaucheron, F. (2005) · Reproduction Nutrition Development · doi:10.1051/rnd:2005030 · Cited by 619
Quantitative metabolomics using NMR
Wishart, D. S. (2008) · TrAC Trends in Analytical Chemistry · doi:10.1016/j.trac.2007.12.001 · Cited by 582
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Fraser, D. D., Slessarev, M., Martin, C. M., Daley, M., Patel, M. A., Miller, M. R., Patterson, E. K., O’Gorman, D. B., Gill, S. E., Wishart, D. S., et al. (2020) · Critical Care Explorations · doi:10.1097/cce.0000000000000272 · Cited by 114
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Metadata
- Authors
- Foroutan, A., Guo, A. C., Vazquez-Fresno, R., Lipfert, M., Zhang, L., Zheng, J., Badran, H., Budinski, Z., Mandal, R., Ametaj, B. N., & Wishart, D. S.
- Venue
- Journal of Agricultural and Food Chemistry
- Publisher
- American Chemical Society (ACS)
- Published
- 2019-04-17
- Volume
- 67
- Issue
- 17
- Pages
- 4897-4914
- ISSN
- 0021-8561 (ISSN-L)
- 1520-5118
- OpenAlex
- W2937400523
- Cited by
- 264
- References
- 48
- FWCI
- 7.59
- Type
- journal article
- Language
- en
- Open access
- closed
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- Foroutan, A., Guo, A. C., Vazquez-Fresno, R., Lipfert, M., Zhang, L., Zheng, J., Badran, H., Budinski, Z., Mandal, R., Ametaj, B. N., & Wishart, D. S. (2019). Chemical Composition of Commercial Cow’s Milk. Journal of Agricultural and Food Chemistry. https://doi.org/10.1021/acs.jafc.9b00204
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