Time filter

Source Type

Jumtee K.,Nara Prefectural Small and Medium Sized Enterprises Support Corporation | Jumtee K.,Osaka University | Komura H.,Suntory Institute for Bioorganic Research | Bamba T.,Osaka University | Fukusaki E.,Osaka University
Journal of Bioscience and Bioengineering | Year: 2011

The sensory quality ranking of Japanese green tea (Sen-cha) was evaluated and predicted using volatile profiling and multivariate data analyses. The volatile constituents were extracted from tea infusion using vacuum hydrodistillation and analyzed using GC/MS. A quality of green tea could be discriminated to a high or low grade regarding the volatile profile by partial least squares discriminant analysis (PLS-DA). A quality ranking predictive model was developed from the relationship between subjective attributes (sensory quality ranking) and objective attributes (volatile profile) using partial least squares projections to latent structures together with the preprocessing filtering technique, orthogonal signal correction (OSC). Several volatile compounds highly contributed to model prediction were identified as various odor-active compounds, including geraniol, indole, linalool, cis-jasmone, dihydroactinidiolide, 6-chloroindole, methyl jasmonate, coumarin, trans-geranylacetone, linalool oxides, 5,6-epoxy-β-ionone, phytol, and phenylethyl alcohol. The whole fingerprints of these volatile compounds could be possible markers for the overall quality evaluation of green tea beverage. © 2011.

Ono D.,Osaka University | Bamba T.,Osaka University | Oku Y.,Tea Branch | Yonetani T.,Nara Prefectural Small and Medium Sized Enterprises Support Corporation | Fukusaki E.,Osaka University
Journal of Bioscience and Bioengineering | Year: 2011

In this study, we constructed prediction models by metabolic fingerprinting of fresh green tea leaves using Fourier transform near-infrared (FT-NIR) spectroscopy and partial least squares (PLS) regression analysis to objectively optimize of the steaming process conditions in green tea manufacture. The steaming process is the most important step for manufacturing high quality green tea products. However, the parameter setting of the steamer is currently determined subjectively by the manufacturer. Therefore, a simple and robust system that can be used to objectively set the steaming process parameters is necessary. We focused on FT-NIR spectroscopy because of its simple operation, quick measurement, and low running costs. After removal of noise in the spectral data by principal component analysis (PCA), PLS regression analysis was performed using spectral information as independent variables, and the steaming parameters set by experienced manufacturers as dependent variables. The prediction models were successfully constructed with satisfactory accuracy. Moreover, the results of the demonstrated experiment suggested that the green tea steaming process parameters could be predicted on a larger manufacturing scale. This technique will contribute to improvement of the quality and productivity of green tea because it can objectively optimize the complicated green tea steaming process and will be suitable for practical use in green tea manufacture. © 2011 The Society for Biotechnology, Japan.

Okubo T.,Kyoto University | Washida K.,Nara Prefectural Small and Medium Sized Enterprises Support Corporation | Murakami A.,Kyoto University
Molecular Nutrition and Food Research | Year: 2010

Phenethyl isothiocyanate (PEITC), a constituent of many cruciferous vegetables, is well known to have versatile physiological activities, including chemopreventive effects. On the other hand, its anti-inflammatory effects are poorly reported. Nitric oxide (NO) is associated with a wide variety of inflammatory diseases. In this study, we investigated the effects of PEITC on NO production in LPS-activated peritoneal macrophages from ICR mice. The signaling pathway of LPS-induced NO production was examined using neutralizing antibodies [anti-interferon (IFN)-γ and anti-interleukin (IL-12)] and specific protein kinase inhibitors, as well as others. The activity of PEITC toward NOx production was assessed in mice that received LPS via intraperitoneal administration. The neutralizing antibody of anti-IFN-γ, but not anti-IL-12, suppressed LPS-induced NO production by 90%. LY294002, a specific inhibitor of phosphoinositide-3-kinase, suppressed Akt and IFN-γ mRNA expression upregulated by LPS, whereas PEITC exhibited a similar inhibition profile. Furthermore, oral administration of PEITC significantly suppressed the serum concentration of NOx in ICR mice. Our results suggest that PEITC suppresses LPS-induced NO production via inhibition of Akt activation and the resultant decrease in expression of IFN-γ. This is one of the first reports to demonstrate a marked anti-inflammatory effect of PEITC following its oral administration. © 2010 WILEY-VCH Verlag GmbH & Co.

Katoh A.,Nara Prefectural Small and Medium Sized Enterprises Support Corporation | Katoh A.,Nara Institute of Science and Technology | Fukuda S.,Fukuda Shoten | Fukusaki E.,Osaka University | And 8 more authors.
American Journal of Chinese Medicine | Year: 2011

The commercial quality of Japanese Angelica radices Angelica acutiloba Kitagawa (Yamato-toki) and A. acutiloba Kitagawa var. sugiyama Hikino (Hokkai-toki) used in Kampo traditional herbal medicines, was studied by use of omics technologies. Complementary and alternative medical providers have observed in their clinical experience that differences in radix commercial quality reflect the differences in pharmacological responses; however, there has been little scientific examination of this phenomenon. The approach of omics, including metabolomics, transcriptomics, genomics, and informatics revealed a distinction between the radix-quality grades based on their metabolites, gene expression in human subjects, and plant genome sequences. Systems biology, constructing a network of omics data used to analyze this complex system, is expected to be a powerful tool for enhancing the study of radix quality and furthering a comprehensive understanding of all medicinal plants. © 2011 World Scientific Publishing Company.

Washida K.,Nara Prefectural Small and Medium Sized Enterprises Support Corporation | Miyata M.,Tokyo University of Marine Science and Technology | Koyama T.,Tokyo University of Marine Science and Technology | Yazawa K.,Tokyo University of Marine Science and Technology | Nomoto K.,Nara Prefectural Small and Medium Sized Enterprises Support Corporation
Bioscience, Biotechnology and Biochemistry | Year: 2010

We examined the bioactivity of Yamato-mana (Brassica rapa L. Oleifera Group) constituent glucosino- lates and found that 3-butenyl glucosinolate (gluconapin) decreased the plasma triglyceride gain induced by corn oil administration to mice. However, phenethyl glucosinolate (gluconasturtiin) had little effect. 2-Propenyl glucosinolale (sinigrin) aLso reduced the plasma triglyceride level, which suggests that alkenyl glucosinolates might be promising agents to prevent postprandial hypertriglyceridemia.

Discover hidden collaborations