Summary of Study ST001834

This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, where it has been assigned Project ID PR001158. The data can be accessed directly via it's Project DOI: 10.21228/M8199Q This work is supported by NIH grant, U2C- DK119886.

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This study contains a large results data set and is not available in the mwTab file. It is only available for download via FTP as data file(s) here.

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Study IDST001834
Study TitleA metabolomics comparison of plant-based meat and grass-fed meat indicates large nutritional differences despite comparable nutrition facts labels
Study SummaryA new generation of plant-based meat alternatives—formulated to mimic the taste and nutritional composition of red meat—have attracted considerable consumer interest, research attention, and media coverage. This has raised questions of whether plant-based meat alternatives represent proper nutritional replacements to animal meat. Given that food sources have considerable complexity and contain a wide variety of nutrients (e.g., phenols, anti-oxidants, peptides, amino acids, fatty acids, and other carboxylic acids), the majority of which do not appear on nutrition labels, it is important to explore expanded nutrient profiles when determining whether beef and plant-based meat alternatives are nutritionally interchangeable. Important nutritional differences may exist between beef and novel plant-based alternatives, given their materials origin; however, this has not been thoroughly assessed. Given the scientific and commercial interest in plant-based meat alternatives, the goal of our study was to use untargeted metabolomics to provide an in-depth comparison of the metabolite profiles of grass-fed ground beef and a popular plant-based meat alternative.
Institute
Duke University
Last Namevan Vliet
First NameStephan
Address300 N Duke Street
Emailstephan.vanvliet@duke.edu
Phone2177785001
Submit Date2021-06-03
Raw Data AvailableYes
Raw Data File Type(s)cdf
Analysis Type DetailGC-MS
Release Date2021-06-24
Release Version1
Stephan van Vliet Stephan van Vliet
https://dx.doi.org/10.21228/M8199Q
ftp://www.metabolomicsworkbench.org/Studies/ application/zip

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Factors:

Subject type: Food item; Subject species: - (Factor headings shown in green)

mb_sample_id local_sample_id Treatment
SA170614GB-15Ground Beef
SA170615GB-13Ground Beef
SA170616GB-12Ground Beef
SA170617GB-16Ground Beef
SA170618GB-17Ground Beef
SA170619GB-1Ground Beef
SA170620GB-18Ground Beef
SA170621GB-11Ground Beef
SA170622GB-14Ground Beef
SA170623GB-5Ground Beef
SA170624GB-4Ground Beef
SA170625GB-10Ground Beef
SA170626GB-2Ground Beef
SA170627GB-6Ground Beef
SA170628GB-3Ground Beef
SA170629GB-7Ground Beef
SA170630GB-8Ground Beef
SA170631GB-9Ground Beef
SA170632PB-14Plant-based meat alternative
SA170633PB-12Plant-based meat alternative
SA170634PB-13Plant-based meat alternative
SA170635PB-15Plant-based meat alternative
SA170636PB-17Plant-based meat alternative
SA170637PB-11Plant-based meat alternative
SA170638PB-18Plant-based meat alternative
SA170639PB-16Plant-based meat alternative
SA170640PB-1Plant-based meat alternative
SA170641PB-4Plant-based meat alternative
SA170642PB-3Plant-based meat alternative
SA170643PB-2Plant-based meat alternative
SA170644PB-5Plant-based meat alternative
SA170645PB-6Plant-based meat alternative
SA170646PB-9Plant-based meat alternative
SA170647PB-8Plant-based meat alternative
SA170648PB-7Plant-based meat alternative
SA170649PB-10Plant-based meat alternative
Showing results 1 to 36 of 36
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