'Och 3' presentation slideshows

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??????????????????. ??????????? ??????????? PPC ? TLC ??? Rf ? hRf ?? Rf ? 100 ?? ???????????????????????? UV ?? ? 1 H -NMR ? 13 C -NMR ?MS. ??????????????. 1. ??? (PPC) ????????????????????????? BAW ??????? ???? 4 ? 1 ? 5 ???????????????????????? 3 ? 6 ? 1 ? ???????????

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??????????????????. ??????????? ??????????? PPC ? TLC ??? Rf ? hRf ?? Rf ? 100 ?? ???????????????????????? UV ?? ? 1 H -NMR ? 13 C -NMR ?MS. ??????????????. 1. ??? (PPC) ????????????????????????? BAW ??????? ???? 4 ? 1 ? 5 ???????????????????????? 3 ? 6 ? 1 ? ???????????

988 views • 83 slides

Chapter 21 Ester Enolates

Chapter 21 Ester Enolates. 21.1 Ester a -Hydrogens and their pK a s. Introduction. O. O. O. Protons a to an ester carbonyl group are less acidic, pK a ? 24, than a protons of aldehydes and ketones, pK a ? 16-20 .

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Chapter 21 Ester Enolates

Chapter 21 Ester Enolates. O. O. C. C. R. C. OR'. H. H. Introduction. The preparation and reactions of b -dicarbonyl compounds, especially b -keto esters, is the main focus of this chapter.

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16.9 Preparation of Epoxides: A Review and a Preview

16.9 Preparation of Epoxides: A Review and a Preview. Preparation of Epoxides. Epoxides are prepared by two major methods. Both begin with alkenes. reaction of alkenes with peroxy acids (Section 6.18)

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Chapter 21 Ester Enolates

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5. 3. 4 ????????????

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第 5 章 黄酮类化合物

第 5 章 黄酮类化合物. 波谱学特征. 厦门大学医学院药学系 丘鹰昆. 四、黄酮类化合物的 1 H-NMR. 黄酮 B 环 δ H > 3-H > A 环 原因： A 环常为隐间苯三酚结构 >C=O 离 A 环近，使 A 环电子云 >B 环 C 环的去屏蔽作用对 B 环作用 >A 环 5-H ：所受去屏蔽作用强烈 δ H ≈8 6, 8-H ：常在最高场，而 δ H-8 > δ H-6 ，因为 H-8 所受 C 环去屏蔽作用更强些 13 C-NMR 中则相反 二氢黄酮 δ H-8 ≈ δ H-6 ，因为 C 环非共轭

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Outline

Outline. Background Objective Quantum Chemical Analysis Combinatorial Study and Data Mining Conclusion. Pauson-Khand Reaction. Transition-metal-catalyzed/mediated [2+2+1] carbonylative cycloaddition of an alkene and an alkyne. More than 2000 records in Chemical Abstract Database!

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Diego Ardissino, MD

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OCR A Level Science Chemistry

OCR A Level Science Chemistry. Organised Organics. Propane. CH 3 CH 2 CH 3. CH 3 CH 2 (CH 3 ) 2. Propane. CH 3 CH 2 CH 3. CH 3 CH 2 (CH 3 ) 2. Benzene. Benzene. 3-methyl butan-2-ol. C 5 H 10. C 5 H 12. 3-methyl butan-2-ol. C 5 H 10. C 5 H 12. H. O. H. C. H. Phenol. Alcohol.

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Flavonoids

Flavonoids. Largest class of the phenolic substances* Plant pigments (yellow and red) Glycosides are naturally (mostly O - glyc but some C - gly ) Differ in: Oxidation stage of the heterocyclic ring Differ in: Substituents (mostly OH or OCH 3 )

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Kinetics and Mechanisms of hydrogenation of DMO

Kinetics and Mechanisms of hydrogenation of DMO. Li Siming 2012.9.8. C. Perego, S. Peratello, Catalysis Today 1999, 52 , 133-145. Internal Diffusion Effects. ?. ?? 0.1(0.15) ????????????. External Diffusion Effects. C. Perego, S. Peratello, Catalysis Today 1999, 52 , 133-145. ?.

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A simple and readily integratable approach to toxicity prediction for some of the anti cancer drugs

A quantitative structure–activity relationship (QSAR) study was performed to develop models those relate the structures of 13 anti-cancer drugs to inhibit 50% of sensitive cell growth (pLD50). The aim of this paper is to establish a predictive model for pLD50 penetration using simple descriptors. The usefulness of the quantum chemical descriptors, calculated at the level of the DFT theories using 6-31G* basis set for QSAR study of anti-cancer drugs was examined. The QSAR model developed contributed to a mechanistic understanding of the investigated biological effects. Multiple Linear Regressions (MLR) was employed to model the relationships between molecular descriptors and biological activities of molecules using stepwise method and genetic algorithm as variable selection tools. A multi-parametric equation containing maximum two descriptors at B3LYP/6-31G* method with good statistical qualities (R2 train=0.932,Ftrain=69.225, Q2 LOO=0.889,R2 adj=0.919,Q2 LGO=0.893) was obtained by Multiple Linear Regression using stepwise method. The accuracy of the proposed MLR model was illustrated using the following evaluation techniques: cross-validation, and Y-randomisation. The predictiveability of the model was found to be satisfactory and could be used for designing a similar group of .cancer drugs-anti

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Isoflavanone glycoside from the leaf of Mangifera indica L.

A new isoflavonoid glycoside, malaysianone Bhas been isolated from the methanol extract of the leaf of Mangifera indica by various chromatography techniques. Its structure was established on the basis of spectroscopic evidence and comparison with the published data

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