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Akio Kobayashi

Researcher at Osaka University

Publications -  131
Citations -  4113

Akio Kobayashi is an academic researcher from Osaka University. The author has contributed to research in topics: Mass spectrometry & Eucommia ulmoides. The author has an hindex of 34, co-authored 131 publications receiving 3831 citations. Previous affiliations of Akio Kobayashi include Okayama University.

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Time-course metabolic profiling in Arabidopsis thaliana cell cultures after salt stress treatment

TL;DR: A time-course metabolic profiling with Arabidopsis thaliana cell cultures after the imposition of salt stress is reported, and mining results suggest the methylation cycle for the supply of methyl groups, the phenylpropanoid pathway for lignin production, and glycinebetaine biosynthesis are synergetically induced as a short-term response against salt-stress treatment.
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Plant Metabolomics : Potential for Practical Operation

TL;DR: Metabolomics is the best technology for the analysis of large mutant or transgenic libraries of model experimental plants, such as Arabidopsis, rice, etc and the potential of metabolomics for plant post-genomic science is suggested.
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Prediction of Japanese Green Tea Ranking by Gas Chromatography/Mass Spectrometry-Based Hydrophilic Metabolite Fingerprinting

TL;DR: An innovative technique for green tea's quality determination was developed by means of metabolomics, coupled with time-of-flight mass spectrometry and multivariate data analysis, and the partial least-squares projections to latent structures analysis with the spectral filtering technique, orthogonal signal correction (OCS).
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Development of a method for comprehensive and quantitative analysis of plant hormones by highly sensitive nanoflow liquid chromatography-electrospray ionization-ion trap mass spectrometry.

TL;DR: The high sensitivity of a comprehensive and quantitative analytical method developed with nanoflow liquid chromatography-electrospray ionization-ion trap mass spectrometry under multiple-reaction monitoring (MRM) in plant hormone profiling is demonstrated and will be useful for in-depth studies on complex plant hormonal metabolism.
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High throughput and exhaustive analysis of diverse lipids by using supercritical fluid chromatography-mass spectrometry for metabolomics

TL;DR: An analytical system that enables the simultaneous rapid analysis of lipids with varied structures and polarities through the use of supercritical fluid chromatography-mass spectrometry (SFC-MS) is developed, which is a powerful tool for studies on lipid metabolomics.