Inorganic Reaction mechanism
Stoichiometric classification
Trans effect
Electrostatic Polarization theory
π-bonding theory
Reactions without metal-ligand bond breaking
Classification Of Mechanisms, Ligand Substitution In Octahedral Complexes Without Breaking Metal-ligand Bond, Substitution Reaction In Square Planar Complexes, Factors Which Affect The Rate Of Substitution, Trans Effect (Labilizing Effect), Theories and applications Of Trans Effect
These are chemical shift reagents and solvent induced shifts have their application in resolving the NMR Spectra of complex structures by inducing shift with respect to reference compound. Thus useful in interpretation of structures of complex organic compounds.
Classification Of Mechanisms, Ligand Substitution In Octahedral Complexes Without Breaking Metal-ligand Bond, Substitution Reaction In Square Planar Complexes, Factors Which Affect The Rate Of Substitution, Trans Effect (Labilizing Effect), Theories and applications Of Trans Effect
These are chemical shift reagents and solvent induced shifts have their application in resolving the NMR Spectra of complex structures by inducing shift with respect to reference compound. Thus useful in interpretation of structures of complex organic compounds.
A brief introduction to lanthanide elements is given.
Order .ppts like this at <https://www.fiverr.com/anikmal/teamup-with-you-to-prepare-the-best-presentation>
Along with their physical and chemical properties are also shown. Helpful for quick understanding on lanthanide series.
This presentation describes about the preparation, properties, bonding modes, classification and applications of metal Dioxygen Complexes. Also explains the MO diagram of molecular oxygen.
1. What is the steady state approximation
2.Definition of Steady state approximation
3. In Chemical kinetics in steady state state approximation
4. Mechanism involving in steady state approximation
5. rate of formation, using steady state approximation plot
A brief introduction to lanthanide elements is given.
Order .ppts like this at <https://www.fiverr.com/anikmal/teamup-with-you-to-prepare-the-best-presentation>
Along with their physical and chemical properties are also shown. Helpful for quick understanding on lanthanide series.
This presentation describes about the preparation, properties, bonding modes, classification and applications of metal Dioxygen Complexes. Also explains the MO diagram of molecular oxygen.
1. What is the steady state approximation
2.Definition of Steady state approximation
3. In Chemical kinetics in steady state state approximation
4. Mechanism involving in steady state approximation
5. rate of formation, using steady state approximation plot
Labile & inert and substitution reactions in octahedral complexesEinstein kannan
The first part includes a definition of labile and inert. lability and inertness on the basis of VB theory and CFT and also factors affecting inertness and lability of the complexes.
And also the second part includes Substitution Reactions in Octahedral Complexes like mechanisms and their evidence.
Hyperconjugation is the donation of a sigma bond into an adjacent empty or partially filled p orbital, which results in an increased stability of the molecule.
Contributed by: Samuel Redstone (Undergraduate), University of Utah, 2016
Introduction, images of Arsenic, Industrial Uses and pollution sources, Speciation of Arsenic, Environmental levels and ecological effects, Biochemical effects, toxicology and toxicity, Treatment for Arsenic poisoning, Control measures.
Introduction
Critical discussion on heavy metals.
Target organs by heavy metal pollutantsIndustrial uses and pollution sources of Mercury.
Ef mercury
Biochemical effects, toxicology and toxicity of mercury
Biomethylation of mercury
Control of mercury pollutants
Treatment on mercury poisoning.
1.Weak forces of attraction
2.Concepts of Hydrogen bonding
3.Types of hydrogen bonding
4.Properties of hydrogen bond.
5.Methods of detection of hydrogen bond.
6.Importance of Hydrogen bonding.
7.Vander walls forces
a.Ion-dipole
b.Dipole-dipole
c.London forces.
8.Origin of hydrogen bonds.
9.Consequences of hydrogen bonding.
10.Ice has less density than water.
11.Intermolecular forces.
Scope, chemical industries, raw materials, Chemical production, raw materials, Pollution control, Human resources, Safety measures, R & D, objectives, Trade mark, copyright act, Patent act, pollution control
Ring n chain compounds
Silicates
Types of silicates
Principle of Silicate minerals
Soluble silicates
Amphiboles, Zeolites, Ultramarines,
Feldspars
Silicates in technology
Glass, quartz, micas
Cancer cell metabolism: special Reference to Lactate PathwayAADYARAJPANDEY1
Normal Cell Metabolism:
Cellular respiration describes the series of steps that cells use to break down sugar and other chemicals to get the energy we need to function.
Energy is stored in the bonds of glucose and when glucose is broken down, much of that energy is released.
Cell utilize energy in the form of ATP.
The first step of respiration is called glycolysis. In a series of steps, glycolysis breaks glucose into two smaller molecules - a chemical called pyruvate. A small amount of ATP is formed during this process.
Most healthy cells continue the breakdown in a second process, called the Kreb's cycle. The Kreb's cycle allows cells to “burn” the pyruvates made in glycolysis to get more ATP.
The last step in the breakdown of glucose is called oxidative phosphorylation (Ox-Phos).
It takes place in specialized cell structures called mitochondria. This process produces a large amount of ATP. Importantly, cells need oxygen to complete oxidative phosphorylation.
If a cell completes only glycolysis, only 2 molecules of ATP are made per glucose. However, if the cell completes the entire respiration process (glycolysis - Kreb's - oxidative phosphorylation), about 36 molecules of ATP are created, giving it much more energy to use.
IN CANCER CELL:
Unlike healthy cells that "burn" the entire molecule of sugar to capture a large amount of energy as ATP, cancer cells are wasteful.
Cancer cells only partially break down sugar molecules. They overuse the first step of respiration, glycolysis. They frequently do not complete the second step, oxidative phosphorylation.
This results in only 2 molecules of ATP per each glucose molecule instead of the 36 or so ATPs healthy cells gain. As a result, cancer cells need to use a lot more sugar molecules to get enough energy to survive.
Unlike healthy cells that "burn" the entire molecule of sugar to capture a large amount of energy as ATP, cancer cells are wasteful.
Cancer cells only partially break down sugar molecules. They overuse the first step of respiration, glycolysis. They frequently do not complete the second step, oxidative phosphorylation.
This results in only 2 molecules of ATP per each glucose molecule instead of the 36 or so ATPs healthy cells gain. As a result, cancer cells need to use a lot more sugar molecules to get enough energy to survive.
introduction to WARBERG PHENOMENA:
WARBURG EFFECT Usually, cancer cells are highly glycolytic (glucose addiction) and take up more glucose than do normal cells from outside.
Otto Heinrich Warburg (; 8 October 1883 – 1 August 1970) In 1931 was awarded the Nobel Prize in Physiology for his "discovery of the nature and mode of action of the respiratory enzyme.
WARNBURG EFFECT : cancer cells under aerobic (well-oxygenated) conditions to metabolize glucose to lactate (aerobic glycolysis) is known as the Warburg effect. Warburg made the observation that tumor slices consume glucose and secrete lactate at a higher rate than normal tissues.
(May 29th, 2024) Advancements in Intravital Microscopy- Insights for Preclini...Scintica Instrumentation
Intravital microscopy (IVM) is a powerful tool utilized to study cellular behavior over time and space in vivo. Much of our understanding of cell biology has been accomplished using various in vitro and ex vivo methods; however, these studies do not necessarily reflect the natural dynamics of biological processes. Unlike traditional cell culture or fixed tissue imaging, IVM allows for the ultra-fast high-resolution imaging of cellular processes over time and space and were studied in its natural environment. Real-time visualization of biological processes in the context of an intact organism helps maintain physiological relevance and provide insights into the progression of disease, response to treatments or developmental processes.
In this webinar we give an overview of advanced applications of the IVM system in preclinical research. IVIM technology is a provider of all-in-one intravital microscopy systems and solutions optimized for in vivo imaging of live animal models at sub-micron resolution. The system’s unique features and user-friendly software enables researchers to probe fast dynamic biological processes such as immune cell tracking, cell-cell interaction as well as vascularization and tumor metastasis with exceptional detail. This webinar will also give an overview of IVM being utilized in drug development, offering a view into the intricate interaction between drugs/nanoparticles and tissues in vivo and allows for the evaluation of therapeutic intervention in a variety of tissues and organs. This interdisciplinary collaboration continues to drive the advancements of novel therapeutic strategies.
This pdf is about the Schizophrenia.
For more details visit on YouTube; @SELF-EXPLANATORY;
https://www.youtube.com/channel/UCAiarMZDNhe1A3Rnpr_WkzA/videos
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The increased availability of biomedical data, particularly in the public domain, offers the opportunity to better understand human health and to develop effective therapeutics for a wide range of unmet medical needs. However, data scientists remain stymied by the fact that data remain hard to find and to productively reuse because data and their metadata i) are wholly inaccessible, ii) are in non-standard or incompatible representations, iii) do not conform to community standards, and iv) have unclear or highly restricted terms and conditions that preclude legitimate reuse. These limitations require a rethink on data can be made machine and AI-ready - the key motivation behind the FAIR Guiding Principles. Concurrently, while recent efforts have explored the use of deep learning to fuse disparate data into predictive models for a wide range of biomedical applications, these models often fail even when the correct answer is already known, and fail to explain individual predictions in terms that data scientists can appreciate. These limitations suggest that new methods to produce practical artificial intelligence are still needed.
In this talk, I will discuss our work in (1) building an integrative knowledge infrastructure to prepare FAIR and "AI-ready" data and services along with (2) neurosymbolic AI methods to improve the quality of predictions and to generate plausible explanations. Attention is given to standards, platforms, and methods to wrangle knowledge into simple, but effective semantic and latent representations, and to make these available into standards-compliant and discoverable interfaces that can be used in model building, validation, and explanation. Our work, and those of others in the field, creates a baseline for building trustworthy and easy to deploy AI models in biomedicine.
Bio
Dr. Michel Dumontier is the Distinguished Professor of Data Science at Maastricht University, founder and executive director of the Institute of Data Science, and co-founder of the FAIR (Findable, Accessible, Interoperable and Reusable) data principles. His research explores socio-technological approaches for responsible discovery science, which includes collaborative multi-modal knowledge graphs, privacy-preserving distributed data mining, and AI methods for drug discovery and personalized medicine. His work is supported through the Dutch National Research Agenda, the Netherlands Organisation for Scientific Research, Horizon Europe, the European Open Science Cloud, the US National Institutes of Health, and a Marie-Curie Innovative Training Network. He is the editor-in-chief for the journal Data Science and is internationally recognized for his contributions in bioinformatics, biomedical informatics, and semantic technologies including ontologies and linked data.
Richard's entangled aventures in wonderlandRichard 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.
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.
2. Operational Approach to Classification of
substitution Mechanism
➢The operational approach was first expounded in 1965 in a mono graph by
Langford and Gray.
➢They classify reaction mechanism in relation to type of formation is provided by
various types of kinetic syudies.
➢The mechanism is classified by two properties
➢(i) Stoichiometric character
➢(ii) Intimate character.
❑Stoichiometric Mechanism:
➢The stoichiometric mechanism can be determined from the kinetic behaviour of
one system. They can be classified as
❖(i) Dissociative (D) :
➢An intermediate of lower co-ordination number than the reactant can be identified.
3. ❖(2) Associative(A) :
➢An intermediate of higher co-ordination number than the reactant can
be identified.
❖(3) Interchange(I) :
➢No detectable intermediate can be found.
❑(ii) Intimate Mechanism”:
➢The intimate mechanism can be determined from a series of
experiments in which nature of the reactants is changed in a
systematic way.
➢It can be classified as
❖(1) Dissociative Activation (d):The reaction rate is more sensitive to
changes in the leaving group.
❖(2) Associative Activation(A): The reaction rate is more sensitive to
changes in the Entering group.
4. ➢The terminology has largely replaced the SN1, SN2 and so on.
➢These terminologies are compared and further explained.
❖Dissociative (D=SN1((Limiting):
➢In this type, there is definite evidence of an intermediate of reduced coordination
number.
➢The bond between the metal and the leaving group has been completely broken in
the transition state without any bond making to the entering group.
❖Dissociative Interchange(Id = SN1)
➢In this type, there is no definite evidence of an intermediate.
➢In the transition state, there is a large degree of bond breaking to the leaving
group and small amount of bond making to the entering group.
➢The rate is more sensitive to the nature of the leaving group.
5. Associative Interchange(Ia=SN2)
➢In this type, there is no definite evidence of an intermediate.
➢In the transition state, there is some bond breaking to the leaving group but
much more bond making to the entering group.
➢The rate is more sensitive to the nature of the leaving group.
❖Associative (A =SN2 (Limiting)
➢In this type, there is definite evidence of an intermediate of increased
coordination number.
➢In the transition state, the bond to entering group is largely made while the
bond to the leaving group is essentially unbroken.
➢The general goal of kinetic and mechanistic study of substitution reaction is
to classify the reactin as D, Id, Ia or A.
6. Trans Effect
❖Trans Effect :
➢Trans effect is defined as the effect of co-ordinated group on the rate of
replacement of a group lying trans to it in a complex forming a square
planar geometry.
➢Kinetic trans effect is assumed to operate because of better bonding
between M and T in the transition state.
➢Calculation involves sigma and Pi effects.
➢Square planar Pt(II) complexes taken as modes for explanations because the
effect is do best documented for these system and mechanism is taken to be
Ia.
7. Electrostatic Polarization Theory
❖(i) PLX3 Type :
➢In this type of complex as well, the primary positive charge on Pt(II) induces a dipole in
all the four ligands.
➢The two X ligands which are similar and trans to each other balance each other while the
other two ligands viz. L and X(also trans to each other ) do not balance each other.
➢Because L has greater polarizability than X.
➢The net result is that the dipole induced by the positive charge of Pt(II) on the ligands L
induces a corresponding dipole in Pt(II) I,e. Pt(II) and to Ligand L.
➢Both become polarized or distorted.
➢This polarization takes place in such a way that the positive charge on the point of Pt(II)
directly opposite (I,e. trans) to L is reduced.
➢Hence the attraction of X for Pt(II) is also reduced and the bond trans to L is weakened
➢And Consequently lengthened.
8. ➢I,e. Pt-X bond trans to L is weaker and larger than Pt-X bonds
cis to L.
➢The weakening of Pt-X bonds trans to L facilitates the
replacement of X trans to L by entering ligand.
➢Thus the ligand L which has the greatest polarization also has
the greatest trans-effect.
➢If the trans effect of L increases , the bond-length of Pt-X also
increases.
9.
10. π- bonding theory of trans-effect
➢Electrostatic polarization theory can well explain the trans effect of
the ligands
➢Lying at the low end of the series like H2O, OH-, NH3 etc.
➢However, this theory could not explain the high trans effect of the π-
bonding ligands like PR3, NO, CO, C2H4,CN-which lie at the high
end of the series.
➢πbonding theory accounts well for high trans effect of such ligands.
➢The effect of a coordinated group on the rate of the replacement of a
group lying trans to it in a metal complex is known as trans effect.
11. ➢According to this theory, the vacant π or π* orbitals of the π-bonding ligands
➢ accept a pair of electrons from the filled d-orbitals of the metal (dxz or dyz orbital)
➢ to form metal-ligand π-bond I,e.d π- d π or d π-p π bond.
➢In Pt(II) square planner complexesPtX3L (L is a π-bonding ligand), the dyz orbital of
Pt(II) with a pair of electrons
➢Overlaps with the empty Pz orbital of π-bonding lgand L, to form the d π-p π bond
between Pt(II) and L.
➢The formation of π-bond in the complex increases the electron density in the direction of
L and
➢Dimineshes it in the direction of ligand, X trans to L.
➢Thus Pt-X bond trans to L is weakned.
➢The weakening of Pt-X bond trans to L facilitate the approaches of the entering ligand say
Y with its lone pair in the direction of diminished electron density
12.
13. ➢ To form the five co-odinated transition state.-2.
➢Complex PtLX3Y, which on loosing X yields PtLX2Y.
➢In the formation of PtLX2Y, the ligand X trans to L is replaced by
the incoming group Y.
➢The transition state complex has distorted TBP structure in which ‘two
X’s group which are cis to L between in the initial and final states
form the apexes.
➢The formation of d π-p π bond between Pt(II) and the π-bonding
ligand L in the 5-co-ordinated transition activated complex is shown
below.
14.
15. • Formation of d π-p π bond in T.B.P. activated complex .
• In this case, the ligand is PR3. Then the formation of d π-d π bond is shown
below.
• A schematic representation of double bond in Pt=PR3is shown in fig.
• A ϭ-bond is formed by the donation of pair of electrons from Phosphorous
to p atom and
• Pi(π ) bond by the overlap of the filled d-orbital of Pt and a vacant d-orbital
of P atom of the ligand PR3 and X are in XY plane.
• The d-orbital is shown either dxz and dyz .
• The removal of charge from Pt(II) by π bonding L enhances the addition of
the entire group by y and
• Favours on more rapid reaction mechanism.
16.
17.
18. Reactions without Metal-Ligand bond breaking
➢Some reactions of metal complexes that are appear to involve substitution
➢May actually occur without breaking a bond to the metal.
➢The 18 O-labelling studies in the following reaction shows that Co-O bond is
retained.
➢It seems to be a general characteristics of CO2 addition and release from such
inert metal complexes.
➢It appears that W(CO)5(OH) reacts similarly with CO2.