Synthesis of Pichromenes, a Potential Anticancer Agent Using Organocatalyst

Pichromene 1 is a potential anti-cancer substance that is being studied for treatment of chronic leukemia. In this paper have been developed method for synthesis of pichrmene 1 and its analogs by condensation between substituted salicylaldehyde and β-nitrostyrene derivatives under different conditions (solvent, reaction time, temperature and catalyst…). The research results showed that in toluene, at a temperature of 800C, with acid L-pipecolic as catalyst, the yield of pichromenes reached 82% after 24h. The structure of the products was determined by the data of 1H-NMR and 13C-NMR spectroscopy. .

Title: Synthesis of Pichromenes, a Potential Anticancer Agent Using Organocatalyst
Authors: Lưu, Văn Bôi
Phạm, Hoài Thu
Nguyễn, Vũ Quang Thành
Doãn, Thu Hồng
Nguyễn, Bích Ngọc
Vũ, Thị Huệ
Mạc, Đình Hùng
Issue Date: 2013
Publisher: H. : ĐHQGHN
Citation: 7 tr.
Abstract: Pichromene 1 is a potential anti-cancer substance that is being studied for treatment of chronic leukemia. In this paper have been developed method for synthesis of pichrmene 1 and its analogs by condensation between substituted salicylaldehyde and β-nitrostyrene derivatives under different conditions (solvent, reaction time, temperature and catalyst…). The research results showed that in toluene, at a temperature of 800C, with acid L-pipecolic as catalyst, the yield of pichromenes reached 82% after 24h. The structure of the products was determined by the data of 1H-NMR and 13C-NMR spectroscopy. .
URI: http://repository.vnu.edu.vn/handle/11126/13124
Appears in Collections:Natural Sciences and Technology

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Nhu cầu đối với hoạt động công tác xã hội trong việc nâng cao kiến thức chăm sóc sức khỏe sinh sản vị thành niên ở nông thôn (Nghiên cứu trường hợp xã Lam Điền, huyện Chương Mỹ, thành phố Hà Nội)

Title:  Nhu cầu đối với hoạt động công tác xã hội trong việc nâng cao kiến thức chăm sóc sức khỏe sinh sản vị thành niên ở nông thôn (Nghiên cứu trường hợp xã Lam Điền, huyện Chương Mỹ, thành phố Hà Nội) Authors:  Đặng, Thùy Linh Keywords:  Công tác xã hội;Sức khỏe sinh sản Issue Date:  2016 Publisher:  H.: ĐHKHXH&NV Description:  97 tr. URI:  http://repository.vnu.edu.vn/handle/VNU_123/33919 Appears in Collections: Luận văn - Luận án (LIC)
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Measurement of the isospin asymmetry in B → K (*)μ +μ - decays

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Biomass estimation of Sonneratia caseolaris (l.) Engler at a coastal area of Hai Phong city (Vietnam) using ALOS-2 PALSAR imagery and GIS-based multi-layer perceptron neural networks

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This study tested the use of machine learning techniques for the estimation of above-ground biomass (AGB) of Sonneratia caseolaris in a coastal area of Hai Phong city, Vietnam. We employed a GIS database and multi-layer perceptron neural networks (MLPNN) to build and verify an AGB model, drawing upon data from a survey of 1508 mangrove trees in 18 sampling plots and ALOS-2 PALSAR imagery. We assessed the model’s performance using root-mean-square error, mean absolute error, coefficient of determination (R2), and leave-one-out cross-validation. We also compared the model’s usability with four machine learning techniques: support vector regression, radial basis function neural networks, Gaussian process, and random forest. The MLPNN model performed well and outperformed the machine learning techniques. The MLPNN model-estimated AGB ranged between 2.78 and 298.95 Mg ha−1 (average = 55.8 Mg ha−1); below-ground biomass ranged between 4.06 and 436.47 Mg ha−1 (average = 81.47 M...
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