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Author Lee, Jae Won ♦ Uchikata, Takato ♦ Matsubara, Atsuki ♦ Nakamura, Takuji ♦ Fukusaki, Eiichiro ♦ Bamba, Takeshi
Source World Health Organization (WHO)-Global Index Medicus
Content type Text
Publisher Elsevier
File Format HTM / HTML
Language English
Difficulty Level Medium
Subject Domain (in DDC) Natural sciences & mathematics ♦ Chemistry & allied sciences ♦ Life sciences; biology ♦ Biochemistry ♦ Natural history of organisms ♦ Technology ♦ Medicine & health ♦ Pharmacology and therapeutics ♦ Diseases ♦ Chemical engineering ♦ Manufacture for specific uses ♦ Precision instruments & other devices
Subject Domain (in MeSH) Eukaryota ♦ Organisms ♦ Lipids ♦ Chemicals and Drugs ♦ Investigative Techniques ♦ Analytical, Diagnostic and Therapeutic Techniques and Equipment ♦ Natural Science Disciplines ♦ Physical Sciences
Subject Keyword Discipline Biomedical Engineering ♦ Discipline Microbiology ♦ Chromatography, Supercritical Fluid ♦ Methods ♦ Lipids ♦ Analysis ♦ Mass Spectrometry ♦ Soybeans ♦ Chemistry ♦ Isolation & Purification ♦ Metabolomics ♦ Triglycerides ♦ Evaluation Studies ♦ Journal Article ♦ Research Support, Non-u.s. Gov't
Abstract A metabolomics technology for lipid profiling based on supercritical fluid chromatography (SFC) coupled with mass spectrometry (MS) was applied to analyze lipids of soybean. Principal component analysis (PCA) was used to discriminate twelve soybean cultivars according to their suitability for different processed foods such as natto, tofu, edamame, and nimame. By PCA assay, triacylglycerol (TAG) was found as the main variable for discrimination of soybean cultivars. Therefore, a high-throughput and high-resolution TAG profiling method by SFC/MS was developed to more effective discrimination. By investigating several columns, three Chromolith Performance RP-18e columns connected in series were chosen as the most effective column for TAG profiling. Diverse TAGs were separated effectively for 8 min without purification. Additionally, each TAG was identified successfully by the programmed cone voltage fragmentation even without MS/MS analysis and any standard sample.
Description Country affiliation: Japan
Author Affiliation: Lee JW ( Department of Biotechnology, Graduate School of Engineering, Osaka University, 2-1 Yamadaoka, Suita, Osaka 565-0871, Japan.)
ISSN 13891723
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Reading ♦ Research ♦ Self Learning
Interactivity Type Expositive
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2012-02-01
Publisher Place Japan
e-ISSN 13474421
Journal Journal of Bioscience and Bioengineering
Volume Number 113
Issue Number 2

Source: WHO-Global Index Medicus