Polygonal (mainly triangular) silver nanoprisms were synthesized by boiling AgNO3 in N,N-dimethyl formamide, in the presence of poly(vinylpyrrolidone). Although during the synthesis, a mixture of nanoprisms and nanospheroids is formed, the latter can be removed through careful centrifugation. The UV−visible spectra of the nanoprisms display an intense in-plane dipolar plasmon resonance band, as well as weak bands for in-plane and out-of-plane quadrupolar resonances. The nanoprisms are also stable in other solvents, such as ethanol and water, and solvent exchange leads to strong shifts of the in-plane dipole plasmon band.
HPLC methods have been reported to quantify isolated flavonoids or these compounds in complex biological matrices, such as Chinese herbal drugs products from factories. This work was developed to separate quercetin, luteolin and apigenin and to quantify them in extractive solutions from Marchantia covoluta. The main validation parameters of the method are also determined. The method showed linearity for quercetin, luteolin and apigenin in the range 2.0-20.8, 2.2-24.0 and 1.6-20.0 µg/ml respectively. The aqueous and 80% ethanolic extractive solutions showed linear response 1.5-15 µl/ mland 50%extractive solution in range 1.0-10 µl/ml. Precision and accuracy were determined for 80% extractive solution, in concentration of 10 µl/ml. The HPLC method showed an excellent performance in separating the flavonoids quercetm, luteolin and apigenin in M. covoluta extracts, since the presence of interference has been previously evaluated and the mobile phase was chosen carefully Keywords: HPLC, Marchantia covoluta, flavonoids, quercetin, luteolin, apigeniNigerian Journal of Natural Products and Medicine Vol. 9 2005: 73-77
International audience
Abstract Amplified fragment length polymorphisms (AFLPs) are widely used for phylogenetic inference especially in non‐model species. Frequently, trees obtained with other nuclear or mitochondrial markers or with morphological information need additional resolution, increased branch support, or independent data sources (i.e. unlinked loci). In such cases, the use of AFLPs is a quick and cheap option. Computer simulation has shown that dominant AFLP markers lead to less accurate tree topologies than bi‐allelic codominant markers such as SNPs, but this difference becomes negligible for shallow trees when using AFLP data sets that include a sufficiently large number of characters. Thus, determining how many AFLP characters are required to recover a given phylogeny is a key issue regarding the appropriateness of AFLPs for phylogenetic reconstruction. Here, we present a user‐friendly, java ‐based graphical interface, AFLPM ax , which executes an automatic pipeline of different programs providing the user with the optimal number of AFLP characters needed to recover a given phylogeny with high accuracy and support. Executables for Windows, linux and M ac OS X operating systems, source code and user manual are available from: http://webs.uvigo.es/acraaj/AFLPMax.htm .