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Débora M.Borsato,Arthur S. Prudente,Patrícia M. Döll-Boscardin,Aurélio V. Borsato,Cynthia F.P. Luz,Beatriz H.L.N.S. Maia,Daniela A. Cabrini,Michel F. Otuki,Marilis D. Miguel,Paulo V. Farago,Obdulio G. 한국식품영양과학회 2014 Journal of medicinal food Vol.17 No.7
Melipona marginata is an endangered species of stingless bee from Brazil that produces honey with particular physicochemical features and a remarkable exotic flavor. To the best of our knowledge, this is the first report devoted to exploring the medicinal potential of this honey. Thus, the aim of this paper was to investigate the potential anti-inflammatory activity of honey extract from M. marginata on skin inflammation. The honey sample was classified as a monofloral honey of Mimosa scabrella. The presence of 11 phenolic compounds as kaempferol and caffeic acid was detected using the highperformance liquid chromatography-electrospray ionization-tandem mass spectrometry (HPLC-UV-ESI-MS) method. The anti-inflammatory activity was measured using a 12-O-tetradecanoylphorbol-13-acetate-induced ear edema model of inflammation in mice. The topical application of the M. marginata honey extract (1.0 mg/ear) was able to reduce ear edema with an inhibitory effect of 54 – 5%. This extract decreased the myeloperoxidase activity in 75 – 3%, which suggests a lower leucocyte infiltration that was confirmed by histological analysis. This extract also provided a reduction of 55 – 14% in the production of reactive oxygen species. This anti-inflammatory activity could be due to a synergic effect of the phenolic compounds identified in the honey sample. Taken together, these results open up new possibilities for the use of M. marginata honey extract in skin disorders.
Yussef Esparza,Alejandro Huaiquil,Luz Neira,Allison Leyton,Mónica Rubilar,Luis Salazar,Carolina Shene 한국식품과학회 2011 Food Science and Biotechnology Vol.20 No.5
The effect of 8 factors [(with/without) daily mixing and moisture control, incubation time (t), temperature,ratio between dry substrate mass and bed’s cross section area (MA), inoculum size (spores/g), wheat germ content (WG), initial pH, and moisture content (M)] in the production of a prolyl endopeptidase (PEP) by Aspergillus niger ATCC 11414 in solid state fermentation (SSF) was tested. Contribution of all the factors was significant (p<0.05); main effects were those of MA, t, and M. The 4interactions that presented high interaction severity indexes involved the WG. Under optimized conditions PEP and protease activity were 9.76±0.06 and 3.6×10^6±1.5×10^5 U/kg,respectively. The enzyme was partially purified (ammonium sulfate precipitation, dialysis, DEAE-Sepharose ionexchange);it has a molecular weight of 66 kDa (SDSPAGE),and maximum activity was exhibited at pH 4 and 50°C. The enzyme is stable in a wide pH range (2.2-10)and at temperatures lower than 70^oC.
Marta Maria Oliveira dos Santos,Luiz Henrique Sales de Menezes,Eliézer Luz do Espirito Santo,Marise Silva de Carvalho,Márcia Soares Gonçalves,Iasnaia Maria de Carvalho Tavares,Adriano Aguiar Mendes,Hé 한국식품과학회 2023 Food Science and Biotechnology Vol.32 No.5
This study aims at the synthesis of hexyl butyrate by Candida rugosa lipase (CRL) immobilized on Diaion HP 20. The lipase load used was 28.7 ± 2.1 mg/g (mg of lipase/g of support), whose hydrolytic activity was 132.0 ± 2.5 U/g. To obtain the maximum production of hexyl butyrate, the Box-Behnken design statistical planning was used, having as independent variables; biocatalyst concentration, temperature and acid:alcohol molar ratio and ester conversion as a dependent variable at 60, 180 and 480 min. For 60 min, 90.8% conversion was obtained at 47.25 ºC, 1:1.4 molar ratio and 17.65% of biocatalyst; 180 min, 94.5% conversion at 59.5 ºC, 1:2 molar ratio and 15.8% biocatalyst; 480 min, 95.01% conversion at 47.0 ºC, 1:2 molar ratio and 16.9% biocatalyst. CRL-Diaion HP 20 retained 60% of its initial activity after ten cycles of reactions showing potential for industrial use. The ester produced was identified by gas chromatography analyses.
Statistical analysis of metagenomics data
M. Luz Calle 한국유전체학회 2019 Genomics & informatics Vol.17 No.1
Understanding the role of the microbiome in human health and how it can be modulated is becoming increasingly relevant for preventive medicine and for the medical management of chronic diseases. The development of high-throughput sequencing technologies has boosted microbiome research through the study of microbial genomes and allowing a more precise quantification of microbiome abundances and function. Microbiome data analysis is challenging because it involves high-dimensional structured multivariate sparse data and because of its compositional nature. In this review we outline some of the procedures that are most commonly used for microbiome analysis and that are implemented in R packages. We place particular emphasis on the compositional structure of microbiome data. We describe the principles of compositional data analysis and distinguish between standard methods and those that fit into compositional data analysis.
Luz M. Ramos-Ponce,Mireille Vega,Edith Colunga-Urbina,Georgina C. Sandoval-Fabián,Nagamani Balagurusamy,Juan Carlos Contreras-Esquivel,Francisco J. Rodriguez-Gonzalez 한국식품과학회 2010 Food Science and Biotechnology Vol.19 No.3
A colorimetric method for quantitative measurement of free amino groups of water soluble chitin derivatives is described. The method utilizes genipin as a natural and specific reagent for determining the concentration of free amino groups in samples of water soluble chitin derivatives. The blue color adduct (complex) formed during genipin reaction with free amino groups was measured at about 589 nm and Beer-Lambert’s law obeyed over the concentration range of 50 to 300 mg/L. Parameters of analytical conditions were considered and kept constant during the experimental procedure. Highly acetylated water soluble chitin derivatives can be differentiated from water soluble chitosan using this genipin method. The colorimetric method with genipin was proved to be a rapid and efficient technique to determine the free amino groups in water soluble chitin derivatives. This method can also be applied for the detection of the enzymatic activity of chitindeacetylase.
Statistical analysis of metagenomics data
Calle, M. Luz Korea Genome Organization 2019 Genomics & informatics Vol.17 No.1
Understanding the role of the microbiome in human health and how it can be modulated is becoming increasingly relevant for preventive medicine and for the medical management of chronic diseases. The development of high-throughput sequencing technologies has boosted microbiome research through the study of microbial genomes and allowing a more precise quantification of microbiome abundances and function. Microbiome data analysis is challenging because it involves high-dimensional structured multivariate sparse data and because of its compositional nature. In this review we outline some of the procedures that are most commonly used for microbiome analysis and that are implemented in R packages. We place particular emphasis on the compositional structure of microbiome data. We describe the principles of compositional data analysis and distinguish between standard methods and those that fit into compositional data analysis.
E. E. Pérez‑Ramírez,M. de la Luz‑Asunción,A. L. Martínez‑Hernández,G. de la Rosa‑Álvarez,S. Fernández‑Tavizón,P. Salas,C. Velasco‑Santos 한국탄소학회 2019 Carbon Letters Vol.29 No.2
One- and two-dimensional carbon nanomaterials were tested as adsorbents for the elimination of two anionic dyes, reactive red 2 and methyl orange, and the cationic dye methylene blue from aqueous solutions under the same conditions. Carbon nanomaterials performed well in the removal of dyes. Surface oxygenated groups in the nanomaterials improved the cationic dyes’ adsorption, but not the adsorption of the anionic dye. The interactions between nanomaterials and dyes were verified by infrared and Raman spectroscopy. The pseudo-second order kinetic model was better fitted to the kinetic experimental data than the Elovich and pseudo-first order models. The equilibrium adsorption data were best fitted by the Langmuir model. The dimensions and morphology of the carbon nanomaterials play an important role in the adsorption of the three dyes. The main mechanism of adsorption of anionic dyes is by the interactions of the aromatic rings of the dye structures and π delocalized electrons on carbon nanostructures; the adsorption of cationic dye is mainly due to electrostatic interactions.