Green Method (green + method)

Distribution by Scientific Domains


Selected Abstracts


ChemInform Abstract: Efficient and Green Method for the Synthesis of Highly Substituted Cyclohexadiene Derivatives in Aqueous Media.

CHEMINFORM, Issue 37 2010
Xiang-Shan Wang
No abstract is available for this article. [source]


ChemInform Abstract: A Novel and Green Method for the Synthesis of Highly Substituted Isoquinoline Derivatives in Ionic Liquid.

CHEMINFORM, Issue 15 2010
Xiang-Shan Wang
Abstract ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was extracted from about 100 leading journals. To access a ChemInform Abstract of an article which was published elsewhere, please select a "Full Text" option. The original article is trackable via the "References" option. [source]


ChemInform Abstract: A Novel and Green Method for the Synthesis of Indeno[2,1-c]pyridine Derivatives in Ionic Liquid Catalyzed by Malononitrile.

CHEMINFORM, Issue 39 2008
Xiang-Shan Wang
Abstract ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was extracted from about 200 leading journals. To access a ChemInform Abstract of an article which was published elsewhere, please select a "Full Text" option. The original article is trackable via the "References" option. [source]


ChemInform Abstract: An Efficient and Green Method for the Synthesis of Oxindole Derivatives in Water.

CHEMINFORM, Issue 32 2008
G. Srihari
Abstract ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was extracted from about 200 leading journals. To access a ChemInform Abstract of an article which was published elsewhere, please select a "Full Text" option. The original article is trackable via the "References" option. [source]


A Green Method for the Synthesis of 2-Arylbenzothiazoles.

CHEMINFORM, Issue 49 2007
Chhanda Mukhopadhyay
Abstract ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was extracted from about 200 leading journals. To access a ChemInform Abstract, please click on HTML or PDF. [source]


The value of serum albumin in pretreatment assessment and monitoring of therapy in HIV/AIDS patients

HIV MEDICINE, Issue 6 2006
HO Olawumi
Objectives We sought to examine the utility of serum albumin measurement in staging AIDS and monitoring patients' response to therapy. Methods The possible importance of serum albumin measurement in assessing AIDS stage and in monitoring the response to highly active antiretroviral therapy using CD4 cell count and body weight as parameters was examined in 185 consecutive HIV-infected, therapy-naïve individuals who were recruited for antiretroviral therapy at the university of Ilorin Teaching Hospital. The regimen included lamivudine, stavudine and nevirapine. The diagnosis of AIDS was established through a combination of clinical features and HIV seropositivity using two different enzyme-linked immunosorbent assay techniques. Serum albumin level was determined by the Bromocresol green method, while the CD4 lymphocyte count was obtained using the Dynal T4 count method. Body weight was measured in kilograms with light clothes on. Results There were significant positive correlations between pretreatment albumin and both pretreatment CD4 cell count and pretreatment weight, and between post-treatment albumin and both post-treatment weight and post-treatment CD4 cell count up to a count of 700 cells/,L. There were also significant positive correlations between increase in serum albumin and both increase in body weight and duration of treatment. Conclusions We conclude that, in developing countries where many patients may not be able to afford to pay for CD4 cell counts and viral load tests, which are the traditional markers for HIV disease, serum albumin would be a very useful surrogate test for predicting severity of HIV infection and for clinical monitoring of response to antiretroviral therapy. [source]


Differently regulated androgen receptor transcriptional complex in prostate cancer compared with normal prostate

INTERNATIONAL JOURNAL OF UROLOGY, Issue 4 2005
MASASHIGE KINOSHITA
Abstract Background:, The coregulators of androgen receptors (AR) influence the transcriptional activity of AR. In order to better understand the mechanism of carcinogenesis in the prostate, we investigated the relationship between AR and AR coregulators in the early stage of prostate cancer. Methods:, mRNA was purified from 15 samples of prostate cancer and normal tissue and transcribed into cDNA. We screened eight AR coregulators for different gene expressions in prostate cancer, comparing these with normal tissue by a real-time polymerase chain reaction Syber green method, then quantified each component of the AR transcriptional complex by a real-time PCR hybri-probe method. The extent of gene expression similarity was compared by simple Pearson correlation coefficient analysis between prostate cancer and normal tissue. We applied a z-test to calculate significant differences between r-values. Results:, We found that the gene expression level of FHL2 decreased in prostate cancer compared with that of normal tissue and the gene expressions of PSA, AR and SMRT were not significant. The correlation coefficient analysis revealed that strong associations were found in the pairs of AR versus SMRT, AR versus FHL2 and SMRT versus FHL2 in prostate cancer, whereas similarity was found only in the pair of AR versus FHL2 in normal tissue. No association was observed between prostate-specific antigen and other genes. Conclusion:, These results demonstrate that the AR-AR coregulator relationship is different between prostate cancer and normal tissue, leading to the hypothesis that the AR transcriptional complex is regulated differently between prostate cancer and normal tissue. [source]


1,3-Dihydro-2H -imidazo[4,5- c]pyridin-2-one

JOURNAL OF HETEROCYCLIC CHEMISTRY, Issue 3 2006
Jarle Holt
A facile acid catalysed cyclisation method for the preparation of the cyclic urea 2H -imidazo[4,5- c]pyridin-2-one (2) in > 95 % yield is reported. The biologically active compound 2 can be obtained by heating (3-amino-4-pyridinyl)-carbamic acid methyl, ethyl or tert -butyl esters (1a-c) in sulfuric acid (0.1 %) or in aqueous HBF4 (3.5 equivalents) for 10 min. - 3 hrs at 90 °C. The corresponding microwave-promoted (MW) reactions afforded the pure product 2 within few minutes. The 6-butylamino-substituted analogue (2a) was correspondingly obtained by MW irradiation in 99 % yield by cyclisation of 2-(butylamino)-5-amino-4-pyridylcarbamic acid isopropyl ester (1d). Quantitative precipitation of product 2 was obtained by pH adjustment. The process represents a solvent-free, "green" method for the preparation of 2. [source]


Homogeneous [RuIII(Me3tacn)Cl3]-Catalyzed Alkene cis -Dihydroxylation with Aqueous Hydrogen Peroxide

CHEMISTRY - AN ASIAN JOURNAL, Issue 1 2008
Wing-Ping Yip Dr.
Abstract A simple and green method that uses [Ru(Me3tacn)Cl3] (1; Me3tacn=N,N,,N,,-trimethyl-1,4,7-triazacyclononane) as catalyst, aqueous H2O2 as the terminal oxidant, and Al2O3 and NaCl as additives is effective in the cis -dihydroxylation of alkenes in aqueous tert -butanol. Unfunctionalized alkenes, including cycloalkenes, aliphatic alkenes, and styrenes (14 examples) were selectively oxidized to their corresponding cis -diols in good to excellent yield (70,96,%) based on substrate conversions of up to 100,%. The preparation of cis -1,2-cycloheptanediol (119,g, 91,% yield) and cis -1,2-cyclooctanediol (128,g, 92,% yield) from cycloheptene and cyclooctene, respectively, on the 1-mol scale can be achieved by scaling up the reaction without modification. Results from Hammett correlation studies on the competitive oxidation of para -substituted styrenes (,=,0.97, R=0.988) and the detection of the cycloadduct [(Me3tacn)ClRuHO2(C8H14)]+ by ESI-MS for the 1 -catalyzed oxidation of cyclooctene to cis -1,2-cyclooctanediol are similar to those of the stoichiometric oxidation of alkenes by cis -[(Me3tacn)(CF3CO2)RuVIO2]+ through [3+2] cycloaddition (W.-P. Yip, W.-Y. Yu, N. Zhu, C.-M. Che, J. Am. Chem. Soc.2005, 127, 14239). [source]


Comparison of LiDAR waveform processing methods for very shallow water bathymetry using Raman, near-infrared and green signals

EARTH SURFACE PROCESSES AND LANDFORMS, Issue 6 2010
Tristan Allouis
Abstract Airborne light detection and ranging (LiDAR) bathymetry appears to be a useful technology for bed topography mapping of non-navigable areas, offering high data density and a high acquisition rate. However, few studies have focused on continental waters, in particular, on very shallow waters (<2,m) where it is difficult to extract the surface and bottom positions that are typically mixed in the green LiDAR signal. This paper proposes two new processing methods for depth extraction based on the use of different LiDAR signals [green, near-infrared (NIR), Raman] of the SHOALS-1000T sensor. They have been tested on a very shallow coastal area (Golfe du Morbihan, France) as an analogy to very shallow rivers. The first method is based on a combination of mathematical and heuristic methods using the green and the NIR LiDAR signals to cross validate the information delivered by each signal. The second method extracts water depths from the Raman signal using statistical methods such as principal components analysis (PCA) and classification and regression tree (CART) analysis. The obtained results are then compared to the reference depths, and the performances of the different methods, as well as their advantages/disadvantages are evaluated. The green/NIR method supplies 42% more points compared to the operator process, with an equivalent mean error (,4·2,cm verusu ,4·5,cm) and a smaller standard deviation (25·3,cm verusu 33·5,cm). The Raman processing method provides very scattered results (standard deviation of 40·3,cm) with the lowest mean error (,3·1,cm) and 40% more points. The minimum detectable depth is also improved by the two presented methods, being around 1,m for the green/NIR approach and 0·5,m for the statistical approach, compared to 1·5,m for the data processed by the operator. Despite its ability to measure other parameters like water temperature, the Raman method needed a large amount of reference data to provide reliable depth measurements, as opposed to the green/NIR method. Copyright © 2010 John Wiley & Sons, Ltd. [source]