Chemsitry of Natural Products-Flavonoids and quercetinSurendraKumar338
# Quercetin is the most abundant dietary flavonoid. It has been linked to improved exercise performance and reduced inflammation, blood pressure, and blood sugar level.
# Flavonoids any of large class of plant pigments having a structure based on or similar to that of flavone.
Chemsitry of Natural Products-Flavonoids and quercetinSurendraKumar338
# Quercetin is the most abundant dietary flavonoid. It has been linked to improved exercise performance and reduced inflammation, blood pressure, and blood sugar level.
# Flavonoids any of large class of plant pigments having a structure based on or similar to that of flavone.
Alkaloids are a group of naturally occurring chemical compounds that mostly contain basic nitrogen atoms.
The term alkaloid was coined by Meissner, a German pharmacist, in 1819.
Alkaloids are cyclic organic compounds containing nitrogen in a negative state of oxidation with limited distribution among living organisms.
Most alkaloids contain oxygen in their molecular structure; those compounds are usually colorless crystals at ambient conditions.
Some alkaloids are colored, like berberine (yellow) and sanguinarine (orange).
Most alkaloids are weak bases, but some, such as theobromine and theophylline, are amphoteric.
Many alkaloids dissolve poorly in water but readily dissolve in organic solvents.
Most alkaloids have a bitter taste or are poisonous when ingested.
Introduction, classification, isolation, purification, biological activity of alkaloids, general methods of structural determination of alkaloids, structural elucidation of Morphine, Reserpine and Emetine
Reserpine(Structure Elucidation, Extraction and Isolation)Mohammad Khalid
Reserpine(Structure Elucidation, Extraction and Isolation)
Introduction
Constitution of reserpine
Structure of Reserpic acid
Structure of Yobyrine
Synthesis of Yobyrine
Structure of Reserpine
Synthesis of Reserpine
Classification
Extraction
Isolation:
Identification test
Mode of Action
Penicillin, one of the first and still one of the most widely used antibiotic agents, is derived from the penicillium mold. In 1928 Scottish bacteriologist alexander fleming in a contaminated green mold penicillium notatum. He isolated the mold, grew it in a fluid medium, and found that it produced a substance capable of killing many of the common bacteria that infect humans. Australian pathologist howard florey and British biochemist ernst Boris chain isolated and purified penicillin in the late 1930s, and by 1941 an injectable form of the drug was available for therapeutic use.
Penicillin's are beta lactam antibiotics and characterized by three fundamental structural requirements
The fused beta-lactam and thiazolidine ring structure.
free carboxylic acid group.
And one or more substituted acylamino side chain.
Penam nucleus: 7-oxo-l-thia-4-azabicyclo [3.2.0] heptane
Absolute configuration: 3-S, 5-R, 6-R.
Instrumental methods of characterization:
FTIR
MASS
C13-NMR
1H-NMR
FTIR: -
Penicillin G molecule and its IR spectra in D2 O and in DMSO. Spectra are characterized by the presence of three intense bands.
β- lactam CO stretching observe at 1761 cm-1 in D2O and 1762 cm-1 in DMSO solution.
Amide group is observe at 1640 cm-1 in D2O and 1674 cm-1 in DMSO solution.
Asymmetric stretching of carboxylate group is observe at 1601 cm-1 in D20 and 1615 cm-1 in DMSO solution.
A large red shift of amide , out of the frequency window, is observed upon proton exchange in DMSO.
Collision-Induced Dissociation (CID) technique
MASS:-
A high-resolution, hybrid tandem mass spectrometer was used to obtain CID spectra. The CID spectra were acquired by:
Mass selecting the precursor ions using the first mass spectrometer.
Injecting the ions into the first quadrupole (collision cell) where they undergo CID.
Mass-analyzing the fragment ions produced using the second quadrupole.
Argon was used as the collision gas, and the pressure in the collision cell was adjusted to attenuate the precursor ion intensity to 20-50% of the original intensity. The collision energy of the ions ranged from 160 to 180 eV. The mass spectra shown abundant fragmentations at m/z 160 and m/z 176 that were reported to arise from cleavage of the β-lactam ring.
protonated benzyl penicillin exhibits abundant fragment ions at m/z 160, m/z 176, m/z 217, m/z 128, and m/z 289. The most abundant CID fragment at m/z 160 and the molecular ion peak was observed at m/z 334.
C13-NMR: -
The four sp3 ring carbons give rise to resonances in the decreasing chemical shift order C-3, C-5, C-2 and C-6.
Chemical shift for C-2 is 64.9 ppm and the substituents attached with it are α-methyl 27.0 ppm and β-methyl 31.4 ppm. Chemical shift for C-3 is 73.6 ppm and 174.5 ppm for carboxylate functions (reflecting the smaller de-shielding influence of COOH over that of COO-). The chemic shift for C-5 is 67.2 ppm. The chemic shift for C-6 is 58.4 ppm.
The lactam group shows its chemical shift at 175.0 ppm
Amino group
Extraction, isolation and structure elucidation of flavonoids: QuercetinMohammad Khalid
Extraction, isolation and structure elucidation of- Flavonoids Quercetin
Introduction
FLAVONOIDS & THEIR EXAMPLES
Quercetin
general isolation method
Extraction and isolation
Extraction from neem leaves
Isolation of Quercetin Methanolic Extract of Azadirachta indica leaves
Structure elucidation of Quercetin
Health benefits
Side Effects of Quercetin
Alkaloids are a group of naturally occurring chemical compounds that mostly contain basic nitrogen atoms.
The term alkaloid was coined by Meissner, a German pharmacist, in 1819.
Alkaloids are cyclic organic compounds containing nitrogen in a negative state of oxidation with limited distribution among living organisms.
Most alkaloids contain oxygen in their molecular structure; those compounds are usually colorless crystals at ambient conditions.
Some alkaloids are colored, like berberine (yellow) and sanguinarine (orange).
Most alkaloids are weak bases, but some, such as theobromine and theophylline, are amphoteric.
Many alkaloids dissolve poorly in water but readily dissolve in organic solvents.
Most alkaloids have a bitter taste or are poisonous when ingested.
Introduction, classification, isolation, purification, biological activity of alkaloids, general methods of structural determination of alkaloids, structural elucidation of Morphine, Reserpine and Emetine
Reserpine(Structure Elucidation, Extraction and Isolation)Mohammad Khalid
Reserpine(Structure Elucidation, Extraction and Isolation)
Introduction
Constitution of reserpine
Structure of Reserpic acid
Structure of Yobyrine
Synthesis of Yobyrine
Structure of Reserpine
Synthesis of Reserpine
Classification
Extraction
Isolation:
Identification test
Mode of Action
Penicillin, one of the first and still one of the most widely used antibiotic agents, is derived from the penicillium mold. In 1928 Scottish bacteriologist alexander fleming in a contaminated green mold penicillium notatum. He isolated the mold, grew it in a fluid medium, and found that it produced a substance capable of killing many of the common bacteria that infect humans. Australian pathologist howard florey and British biochemist ernst Boris chain isolated and purified penicillin in the late 1930s, and by 1941 an injectable form of the drug was available for therapeutic use.
Penicillin's are beta lactam antibiotics and characterized by three fundamental structural requirements
The fused beta-lactam and thiazolidine ring structure.
free carboxylic acid group.
And one or more substituted acylamino side chain.
Penam nucleus: 7-oxo-l-thia-4-azabicyclo [3.2.0] heptane
Absolute configuration: 3-S, 5-R, 6-R.
Instrumental methods of characterization:
FTIR
MASS
C13-NMR
1H-NMR
FTIR: -
Penicillin G molecule and its IR spectra in D2 O and in DMSO. Spectra are characterized by the presence of three intense bands.
β- lactam CO stretching observe at 1761 cm-1 in D2O and 1762 cm-1 in DMSO solution.
Amide group is observe at 1640 cm-1 in D2O and 1674 cm-1 in DMSO solution.
Asymmetric stretching of carboxylate group is observe at 1601 cm-1 in D20 and 1615 cm-1 in DMSO solution.
A large red shift of amide , out of the frequency window, is observed upon proton exchange in DMSO.
Collision-Induced Dissociation (CID) technique
MASS:-
A high-resolution, hybrid tandem mass spectrometer was used to obtain CID spectra. The CID spectra were acquired by:
Mass selecting the precursor ions using the first mass spectrometer.
Injecting the ions into the first quadrupole (collision cell) where they undergo CID.
Mass-analyzing the fragment ions produced using the second quadrupole.
Argon was used as the collision gas, and the pressure in the collision cell was adjusted to attenuate the precursor ion intensity to 20-50% of the original intensity. The collision energy of the ions ranged from 160 to 180 eV. The mass spectra shown abundant fragmentations at m/z 160 and m/z 176 that were reported to arise from cleavage of the β-lactam ring.
protonated benzyl penicillin exhibits abundant fragment ions at m/z 160, m/z 176, m/z 217, m/z 128, and m/z 289. The most abundant CID fragment at m/z 160 and the molecular ion peak was observed at m/z 334.
C13-NMR: -
The four sp3 ring carbons give rise to resonances in the decreasing chemical shift order C-3, C-5, C-2 and C-6.
Chemical shift for C-2 is 64.9 ppm and the substituents attached with it are α-methyl 27.0 ppm and β-methyl 31.4 ppm. Chemical shift for C-3 is 73.6 ppm and 174.5 ppm for carboxylate functions (reflecting the smaller de-shielding influence of COOH over that of COO-). The chemic shift for C-5 is 67.2 ppm. The chemic shift for C-6 is 58.4 ppm.
The lactam group shows its chemical shift at 175.0 ppm
Amino group
Extraction, isolation and structure elucidation of flavonoids: QuercetinMohammad Khalid
Extraction, isolation and structure elucidation of- Flavonoids Quercetin
Introduction
FLAVONOIDS & THEIR EXAMPLES
Quercetin
general isolation method
Extraction and isolation
Extraction from neem leaves
Isolation of Quercetin Methanolic Extract of Azadirachta indica leaves
Structure elucidation of Quercetin
Health benefits
Side Effects of Quercetin
Phenols are organic compounds that contain a hydroxyl (-OH) group attached to an aromatic ring. The general formula for a phenol is ArOH, where Ar is an aromatic ring. The simplest example of a phenol is phenol itself, also known as carbolic acid.
Phenols are important compounds in organic chemistry and are used in a variety of industrial and biological applications. They are commonly used as disinfectants, antiseptics, and preservatives due to their antimicrobial properties. They are also used in the production of plastics, pharmaceuticals, and dyes.
Phenols are acidic compounds, meaning that they can donate a proton (H+) to a solvent or a base. This acidity is due to the stability of the phenoxide ion (ArO-), which is formed when a phenol loses a proton. The stability of the phenoxide ion is due to the resonance stabilization of the negative charge over the aromatic ring.
Phenols can undergo a variety of reactions, including electrophilic substitution, oxidation, and esterification. They can also be used as starting materials for the synthesis of more complex organic compounds.
POLYNUCLEAR HYDROCARBON : STRUCTURE AND USES OF NAPHTHELENE, ANTHRACENE,DI-PH...RishikaBehere1
Hello everyone, we the students of Gurunanak College of Pharmacy, Nagpur have created a presentation of subject pharmaceutical organic chemistry -2 of third semester, Unit 4 : polynuclear hydrocarbons . This presentation was made for the purpose of better understanding of the topic structure and medicinal uses of naphthelene , anthracene, diphenylmethane , triphenylmethane , phenanthrene and their derivatives . This portion covers topics like structure, properties , and medicinal uses of polynuclear hydrocarbons such as naphthelene , anthracene , di-phenylmethane, tri-phenylmethane , phenanthrene and their respective derivatives.
Comparing Evolved Extractive Text Summary Scores of Bidirectional Encoder Rep...University of Maribor
Slides from:
11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Track: Artificial Intelligence
https://www.etran.rs/2024/en/home-english/
Richard's aventures in two entangled wonderlandsRichard Gill
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
Earliest Galaxies in the JADES Origins Field: Luminosity Function and Cosmic ...Sérgio Sacani
We characterize the earliest galaxy population in the JADES Origins Field (JOF), the deepest
imaging field observed with JWST. We make use of the ancillary Hubble optical images (5 filters
spanning 0.4−0.9µm) and novel JWST images with 14 filters spanning 0.8−5µm, including 7 mediumband filters, and reaching total exposure times of up to 46 hours per filter. We combine all our data
at > 2.3µm to construct an ultradeep image, reaching as deep as ≈ 31.4 AB mag in the stack and
30.3-31.0 AB mag (5σ, r = 0.1” circular aperture) in individual filters. We measure photometric
redshifts and use robust selection criteria to identify a sample of eight galaxy candidates at redshifts
z = 11.5 − 15. These objects show compact half-light radii of R1/2 ∼ 50 − 200pc, stellar masses of
M⋆ ∼ 107−108M⊙, and star-formation rates of SFR ∼ 0.1−1 M⊙ yr−1
. Our search finds no candidates
at 15 < z < 20, placing upper limits at these redshifts. We develop a forward modeling approach to
infer the properties of the evolving luminosity function without binning in redshift or luminosity that
marginalizes over the photometric redshift uncertainty of our candidate galaxies and incorporates the
impact of non-detections. We find a z = 12 luminosity function in good agreement with prior results,
and that the luminosity function normalization and UV luminosity density decline by a factor of ∼ 2.5
from z = 12 to z = 14. We discuss the possible implications of our results in the context of theoretical
models for evolution of the dark matter halo mass function.
Seminar of U.V. Spectroscopy by SAMIR PANDASAMIR PANDA
Spectroscopy is a branch of science dealing the study of interaction of electromagnetic radiation with matter.
Ultraviolet-visible spectroscopy refers to absorption spectroscopy or reflect spectroscopy in the UV-VIS spectral region.
Ultraviolet-visible spectroscopy is an analytical method that can measure the amount of light received by the analyte.
Salas, V. (2024) "John of St. Thomas (Poinsot) on the Science of Sacred Theol...Studia Poinsotiana
I Introduction
II Subalternation and Theology
III Theology and Dogmatic Declarations
IV The Mixed Principles of Theology
V Virtual Revelation: The Unity of Theology
VI Theology as a Natural Science
VII Theology’s Certitude
VIII Conclusion
Notes
Bibliography
All the contents are fully attributable to the author, Doctor Victor Salas. Should you wish to get this text republished, get in touch with the author or the editorial committee of the Studia Poinsotiana. Insofar as possible, we will be happy to broker your contact.
Deep Behavioral Phenotyping in Systems Neuroscience for Functional Atlasing a...Ana Luísa Pinho
Functional Magnetic Resonance Imaging (fMRI) provides means to characterize brain activations in response to behavior. However, cognitive neuroscience has been limited to group-level effects referring to the performance of specific tasks. To obtain the functional profile of elementary cognitive mechanisms, the combination of brain responses to many tasks is required. Yet, to date, both structural atlases and parcellation-based activations do not fully account for cognitive function and still present several limitations. Further, they do not adapt overall to individual characteristics. In this talk, I will give an account of deep-behavioral phenotyping strategies, namely data-driven methods in large task-fMRI datasets, to optimize functional brain-data collection and improve inference of effects-of-interest related to mental processes. Key to this approach is the employment of fast multi-functional paradigms rich on features that can be well parametrized and, consequently, facilitate the creation of psycho-physiological constructs to be modelled with imaging data. Particular emphasis will be given to music stimuli when studying high-order cognitive mechanisms, due to their ecological nature and quality to enable complex behavior compounded by discrete entities. I will also discuss how deep-behavioral phenotyping and individualized models applied to neuroimaging data can better account for the subject-specific organization of domain-general cognitive systems in the human brain. Finally, the accumulation of functional brain signatures brings the possibility to clarify relationships among tasks and create a univocal link between brain systems and mental functions through: (1) the development of ontologies proposing an organization of cognitive processes; and (2) brain-network taxonomies describing functional specialization. To this end, tools to improve commensurability in cognitive science are necessary, such as public repositories, ontology-based platforms and automated meta-analysis tools. I will thus discuss some brain-atlasing resources currently under development, and their applicability in cognitive as well as clinical neuroscience.
The ability to recreate computational results with minimal effort and actionable metrics provides a solid foundation for scientific research and software development. When people can replicate an analysis at the touch of a button using open-source software, open data, and methods to assess and compare proposals, it significantly eases verification of results, engagement with a diverse range of contributors, and progress. However, we have yet to fully achieve this; there are still many sociotechnical frictions.
Inspired by David Donoho's vision, this talk aims to revisit the three crucial pillars of frictionless reproducibility (data sharing, code sharing, and competitive challenges) with the perspective of deep software variability.
Our observation is that multiple layers — hardware, operating systems, third-party libraries, software versions, input data, compile-time options, and parameters — are subject to variability that exacerbates frictions but is also essential for achieving robust, generalizable results and fostering innovation. I will first review the literature, providing evidence of how the complex variability interactions across these layers affect qualitative and quantitative software properties, thereby complicating the reproduction and replication of scientific studies in various fields.
I will then present some software engineering and AI techniques that can support the strategic exploration of variability spaces. These include the use of abstractions and models (e.g., feature models), sampling strategies (e.g., uniform, random), cost-effective measurements (e.g., incremental build of software configurations), and dimensionality reduction methods (e.g., transfer learning, feature selection, software debloating).
I will finally argue that deep variability is both the problem and solution of frictionless reproducibility, calling the software science community to develop new methods and tools to manage variability and foster reproducibility in software systems.
Exposé invité Journées Nationales du GDR GPL 2024
DERIVATION OF MODIFIED BERNOULLI EQUATION WITH VISCOUS EFFECTS AND TERMINAL V...Wasswaderrick3
In this book, we use conservation of energy techniques on a fluid element to derive the Modified Bernoulli equation of flow with viscous or friction effects. We derive the general equation of flow/ velocity and then from this we derive the Pouiselle flow equation, the transition flow equation and the turbulent flow equation. In the situations where there are no viscous effects , the equation reduces to the Bernoulli equation. From experimental results, we are able to include other terms in the Bernoulli equation. We also look at cases where pressure gradients exist. We use the Modified Bernoulli equation to derive equations of flow rate for pipes of different cross sectional areas connected together. We also extend our techniques of energy conservation to a sphere falling in a viscous medium under the effect of gravity. We demonstrate Stokes equation of terminal velocity and turbulent flow equation. We look at a way of calculating the time taken for a body to fall in a viscous medium. We also look at the general equation of terminal velocity.
5. Physical Properties
• It is a colourless solid with strong minty odour
and cooling taste.
• It is found in the oil of pepermint.
• It is laevorotatory.
9. Structure
1. Molecular formula
Molecular formula of menthol was
determined as C10H20O.
2. Presence of –OH
On treatment with phosphorous
pentachloride and phosphorous pentoxide
menthol gave a chloride and hydrocarbon
respectively , interfering that it is an alcohol.
11. 3. Nature of –OH group
Menthol was oxidised by cromic acid to a
ketone , menthone to proved that menthol
contained a secondary hydroxyl group .
Menthol
12. 4). Menthol was converted into p-cymene by
dehydration and dehydrogenation which was also
obtained by dehydrogenation of pulegone.
There for menthol must possess the same skeleton
as pulegone.