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1.
Int J Med Mushrooms ; 13(5): 483-91, 2011.
Article in English | MEDLINE | ID: mdl-22324414

ABSTRACT

Lingzhi or Reishi medicinal mushroom, Ganoderma lucidum, has been used over the ages as highly medicinal herb in the Orient. Many useful properties of this fungus are still being studied; we report here a new facet of this "elixir of life" as a mycosource for synthesis of metal nanoparticles. Treating the extracellular suspension filtrate of the mycelia of G. lucidum with silver nitrate reduces the metal ions to nanoparticles. Optical detection followed by confirmation through spectroscopic analysis suggests that this fungus can be used for the purpose of safe and sure synthesis of silver nanoparticles, demand for which is growing day by day in all fields of human life. LM-20 analysis of these G. lucidum-synthesised nanoparticles reveals the polydispersity and distribution of silver nanoparticles in the range of 10-70 nm with an average size of 45 nm and a concentration of 0.37 x 108 particles/mL. FT-IR spectrum confirms the stability of these nanoparticles due to presence of amide linkages and protein capping. These nanoparticles have shown strong bactericidal activity against test pathogens Staphylococcus aureus and Escherichia coli, and also exhibited their efficiency in enhancing the activity of the synthetic antibiotic tetracycline. The method of synthesising silver nanoparticles and its bactericidal effect discussed here can be used for environment-friendly and economically feasible production for different applications where chemically synthesized nanoparticles cause undesirable effects.


Subject(s)
Anti-Bacterial Agents/metabolism , Anti-Bacterial Agents/pharmacology , Ganoderma/metabolism , Metal Nanoparticles/chemistry , Silver/chemistry , Silver/metabolism , Anti-Bacterial Agents/chemistry , Escherichia coli , Spectrophotometry, Ultraviolet , Spectroscopy, Fourier Transform Infrared , Staphylococcus aureus/drug effects
2.
Inflamm Res ; 56(12): 502-10, 2007 Dec.
Article in English | MEDLINE | ID: mdl-18210234

ABSTRACT

OBJECTIVE AND DESIGN: Myeloperoxidase (MPO) and proinflammatory cytokines play an important role in the development of inflammation. These markers are generally measured using tedious ELISA procedures. In this study, a novel technique utilizing antibody conjugated quantum dot nanoparticles was developed to detect Myeloperoxidase, Interleukin-1alpha (IL-1alpha) and Tumor Necrosis Factor-alpha (TNF-alpha) in vivo in the dextran sodium sulfate (DSS) model of experimental colitis. MATERIALS AND METHODS: Colitis was induced in animals (n = 8 animals/group) by feeding 4% DSS solution ad libitum for seven to eight days. Quantum Dots (QDs) exhibiting fluorescence at various wavelengths were conjugated to MPO, IL-1alpha and TNF-alpha polyclonal antibodies and tested in vivo at various stages of colitis. Tissue sections obtained were imaged with confocal microscope. The image intensity obtained from the tissue specimen was correlated with clinical activity measured as Disease Activity Index (DAI). RESULTS: Myeloperoxidase, IL-1alpha and TNF-alpha were visualized with quantum dots on various days of disease. The intensity of quantum dots increased with the increase in inflammation. The increase in intensity showed an excellent correlation with the DAI based on the clinical parameters. CONCLUSION: The study demonstrated that multiple biomarkers can be detected simultaneously and their quantitative expression correlated well with clinical disease severity. This novel technology should facilitate design of a novel optical platform for imaging various biomarkers of inflammation, early detection of acute and chronic disease markers and inflammation-mediated cancer markers. This detection may also facilitate determination of therapeutic success.


Subject(s)
Colitis/metabolism , Interleukin-1alpha/metabolism , Peroxidase/metabolism , Quantum Dots , Tumor Necrosis Factor-alpha/metabolism , Animals , Biomarkers/metabolism , Colitis/chemically induced , Colitis/pathology , Dextran Sulfate , Female , Inflammation/metabolism , Mice
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