Cyclic voltammetry is an electroanalytical technique that measures current during redox reactions at an electrode. It involves scanning the potential of a working electrode versus a reference electrode and measuring the current. The potential is ramped from an initial value to a set switching potential and back to the initial value. This process is repeated in cycles. A cyclic voltammogram plots the current response of the working electrode versus the applied potential and provides information about redox potentials and reaction reversibility. Reversible reactions produce symmetrical peaks while irreversible reactions have wider separation between peaks. Cyclic voltammetry is useful for studying electrode reaction mechanisms and kinetics.
Definition of chrono potentiometry
Introduction about chrono potentiomerty
Experimental setup of chronopotentiometry
Theory of chronopotentiometry
Output wave function of chrono potentiometry
Analysis of an chronopotentiometry
Main window of chronopotentiometry
used files in chronopotentiometry
disadvantages of chronopotentiometry
Application of chrono potentiometry
compare of chronopotentiometry
Using hardware
Feature of files in chronopotentiometry
For UG students of All Engineering Branches (Mechanical Engg., Chemical Engg., Instrumentation Engg., Food Technology) and PG students of Chemistry, Physics, Biochemistry, Pharmacy
The link of the video lecture at YouTube is
https://www.youtube.com/watch?v=t3QDG8ZIX-8
NQR - DEFINITION - ELECTRIC FIELD GRADIENT - NUCLEAR QUADRUPOLE MOMENT - NUCLEAR QUADRUPOLE COUPLING CONSTANT - PRINCIPLE OF NQR - ENERGY OF INTERACTION - SELECTION RULE - FREQUENCY OF TRANSITION - APPLICATIONS
Definition of chrono potentiometry
Introduction about chrono potentiomerty
Experimental setup of chronopotentiometry
Theory of chronopotentiometry
Output wave function of chrono potentiometry
Analysis of an chronopotentiometry
Main window of chronopotentiometry
used files in chronopotentiometry
disadvantages of chronopotentiometry
Application of chrono potentiometry
compare of chronopotentiometry
Using hardware
Feature of files in chronopotentiometry
For UG students of All Engineering Branches (Mechanical Engg., Chemical Engg., Instrumentation Engg., Food Technology) and PG students of Chemistry, Physics, Biochemistry, Pharmacy
The link of the video lecture at YouTube is
https://www.youtube.com/watch?v=t3QDG8ZIX-8
NQR - DEFINITION - ELECTRIC FIELD GRADIENT - NUCLEAR QUADRUPOLE MOMENT - NUCLEAR QUADRUPOLE COUPLING CONSTANT - PRINCIPLE OF NQR - ENERGY OF INTERACTION - SELECTION RULE - FREQUENCY OF TRANSITION - APPLICATIONS
Knocking Door of Cyclic Voltammetry - cv of CV by Monalin MishraMONALINMISHRA
This ppt presentation shares some short basic knowledge on the electroanalytical technique of Cyclic Voltammetry. It also covers the working of CV with some short videos and photos.It also provides general explanation on some relevent techniques
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.
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.
Observation of Io’s Resurfacing via Plume Deposition Using Ground-based Adapt...Sérgio Sacani
Since volcanic activity was first discovered on Io from Voyager images in 1979, changes
on Io’s surface have been monitored from both spacecraft and ground-based telescopes.
Here, we present the highest spatial resolution images of Io ever obtained from a groundbased telescope. These images, acquired by the SHARK-VIS instrument on the Large
Binocular Telescope, show evidence of a major resurfacing event on Io’s trailing hemisphere. When compared to the most recent spacecraft images, the SHARK-VIS images
show that a plume deposit from a powerful eruption at Pillan Patera has covered part
of the long-lived Pele plume deposit. Although this type of resurfacing event may be common on Io, few have been detected due to the rarity of spacecraft visits and the previously low spatial resolution available from Earth-based telescopes. The SHARK-VIS instrument ushers in a new era of high resolution imaging of Io’s surface using adaptive
optics at visible wavelengths.
(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.
Nutraceutical market, scope and growth: Herbal drug technologyLokesh Patil
As consumer awareness of health and wellness rises, the nutraceutical market—which includes goods like functional meals, drinks, and dietary supplements that provide health advantages beyond basic nutrition—is growing significantly. As healthcare expenses rise, the population ages, and people want natural and preventative health solutions more and more, this industry is increasing quickly. Further driving market expansion are product formulation innovations and the use of cutting-edge technology for customized nutrition. With its worldwide reach, the nutraceutical industry is expected to keep growing and provide significant chances for research and investment in a number of categories, including vitamins, minerals, probiotics, and herbal supplements.
Slide 1: Title Slide
Extrachromosomal Inheritance
Slide 2: Introduction to Extrachromosomal Inheritance
Definition: Extrachromosomal inheritance refers to the transmission of genetic material that is not found within the nucleus.
Key Components: Involves genes located in mitochondria, chloroplasts, and plasmids.
Slide 3: Mitochondrial Inheritance
Mitochondria: Organelles responsible for energy production.
Mitochondrial DNA (mtDNA): Circular DNA molecule found in mitochondria.
Inheritance Pattern: Maternally inherited, meaning it is passed from mothers to all their offspring.
Diseases: Examples include Leber’s hereditary optic neuropathy (LHON) and mitochondrial myopathy.
Slide 4: Chloroplast Inheritance
Chloroplasts: Organelles responsible for photosynthesis in plants.
Chloroplast DNA (cpDNA): Circular DNA molecule found in chloroplasts.
Inheritance Pattern: Often maternally inherited in most plants, but can vary in some species.
Examples: Variegation in plants, where leaf color patterns are determined by chloroplast DNA.
Slide 5: Plasmid Inheritance
Plasmids: Small, circular DNA molecules found in bacteria and some eukaryotes.
Features: Can carry antibiotic resistance genes and can be transferred between cells through processes like conjugation.
Significance: Important in biotechnology for gene cloning and genetic engineering.
Slide 6: Mechanisms of Extrachromosomal Inheritance
Non-Mendelian Patterns: Do not follow Mendel’s laws of inheritance.
Cytoplasmic Segregation: During cell division, organelles like mitochondria and chloroplasts are randomly distributed to daughter cells.
Heteroplasmy: Presence of more than one type of organellar genome within a cell, leading to variation in expression.
Slide 7: Examples of Extrachromosomal Inheritance
Four O’clock Plant (Mirabilis jalapa): Shows variegated leaves due to different cpDNA in leaf cells.
Petite Mutants in Yeast: Result from mutations in mitochondrial DNA affecting respiration.
Slide 8: Importance of Extrachromosomal Inheritance
Evolution: Provides insight into the evolution of eukaryotic cells.
Medicine: Understanding mitochondrial inheritance helps in diagnosing and treating mitochondrial diseases.
Agriculture: Chloroplast inheritance can be used in plant breeding and genetic modification.
Slide 9: Recent Research and Advances
Gene Editing: Techniques like CRISPR-Cas9 are being used to edit mitochondrial and chloroplast DNA.
Therapies: Development of mitochondrial replacement therapy (MRT) for preventing mitochondrial diseases.
Slide 10: Conclusion
Summary: Extrachromosomal inheritance involves the transmission of genetic material outside the nucleus and plays a crucial role in genetics, medicine, and biotechnology.
Future Directions: Continued research and technological advancements hold promise for new treatments and applications.
Slide 11: Questions and Discussion
Invite Audience: Open the floor for any questions or further discussion on the topic.
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.
1. CYCLIC
VOLTAMMETRY
S U B M I T T E D TO : -
D R . M A N J U L ATA PA R I H A R
SUBMITTED BY :-
DALPAT SINGH
2. BASIC INTRODUCTION TO VOLTAMMETRY :-
• Voltammetry is concerned with the study of voltage-current-time
relationships during electrolysis carried out in a cell. In simple
words, The technique commonly involves studying the influence
changes in applied voltage on the current flowing in the cell.
• It is used to determine substances in solution which can be
reproducibly reduced or oxidized at an electrode surface.
• The procedure normally involves the use of a cell with an
of three electrodes -
(1) a working electrode at which the electrolysis under
investigation takes place. it should be completely polarizable so
that the current which flows through the electrode is proportional to
the concentration.
(2) a reference electrode which is used to measure the potential
of the working electrode.
(3) an auxiliary electrode or counter current electrode which,
together with the working electrode, carries the electrolysis current.
3. • The current-voltage graph which may be drawn is known as a
voltammogram.
• If we use dropping mercury electrode as working electrode and
pool of mercury as auxiliary electrode then this technique is
referred as Polarography.
• Why modified voltammetry is introduced ?
(1) Quantitative polarography is limited at best to solutions with
electrolytes at concentrations greater than 10-5 M .
(2) the half wave reduction potential difference between two
ions must be at least 200mV if the reduction waves are to be
separated.
These limitations are largely due to the condenser current
associated with the charging of each mercury drop as it forms.
• Pulse polarography, rapid scan polarography , sinusoidal
polarography and Cyclic voltammetry are types of modified
voltammetry.
4. CYCLIC VOLTAMMETRY :-
• Cyclic Voltammetry is a type of modified voltammetry in which a
very fast scan is carried out in two directions , 0 to V and back
down to 0.
• In a cyclic voltammetry experiment the working electrode
potential is ramped linearly versus time in cyclical phases.
• Cyclic voltammetry takes the three
electrode setup; when working
electrode reaches a set potential,
the ramp is inverted. This inversion
can happen multiple times during a
single experiment.
• Normally this process is conducted
using electrodes with a small
surface area in unstirred solutions,
producing a very small redox
current. This means ohmic drop IR is
small, even for the poorly
conducting solutions.• The low capacitance completely eliminates any contribution to the
diffusion current and allow fast scan rate ( up to 10KV s-1 ).
5. BASIC PRINCIPLES OF CYCLIC VOLTAMMETRY:-
• The limiting current occurs because the reduction is limited by the
rate at which ions reach the surface of the electrode. And there are
three conditions to the limiting current –
ilimit = id + iC + iM
• Migration current :- electro active material reaches the surface of
the electrode under the influence of an applied potential. Heyrovsky
showed that the migration current can be practically eliminated if an
indifferent electrolyte is added to the solution in a concentration so
large that its ions carry essentially all the current and it doesn’t
react with the electro active main species.
• Convection current:- if ions are transported toward the electrode
surface by mechanical means such as stirring in the solution then
this will affect the limiting current. To eliminate this we use
stationary solution system like dropping mercury electrode and we
can also use hydrodynamic voltammetry in which the solution is in
continual and constant motion.
6. • Diffusion current :- when an excess of supporting electrolyte is present in
the unstirred solution then the electrical force on the reducible ions is
nullified; this is because the migration current and the convection current
is eliminated. So under this conditions the limiting current is almost solely
a diffusion current.
ilkovic gives this equation which govern the diffusion current :-
id = 607nD1/2Cm2/3t1/6
Where id = the average diffusion current in microamperes
n = no. of electrons consumed in the reduction of one molecule
D = the diffusion coefficient of the substance
C = concentration of analyte in mol L-1
m = the rate of flow of mercury from the DME in mgs-1
t = drop time in seconds
• This equation is slightly temperature dependent.
• Ilkovic equation neglects the effect of the curvature of mercury drop
and this may be allowed for by multiplying the right hand side of the
equation by (1+AD1/2t1/6m-1/3), where A is a constant having value 39.
• The product m2/3t1/6 is important because it permits results with
different capillaries.
7. • Residual current :- If a current voltage curve is determined for a
solution containing ions with strongly negative reduction potential
, a small current will flow before the decomposition of the
solution begins. This current increases linearly with the applied
potential.
• Polarographic maxima :- the streaming movement of the diffusion
layer is responsible for the current maximum. Current voltage
curve exhibits maxima with DME so to eliminate it we use
maximum suppressors like gelatin , dyestuff (fuchsine solution) etc.
.
these are the surface active substances and they form a absorbed
layer on the aqueous side of the mercury solution interface which
resists compression and prevent the streaming of movement of
diffusion layer.
• Half wave potential :- The potential at a polarized electrode obeys
the Nernst equation and the concentrations of electro active
species is directly related to the diffusion current.
9. • In cyclic voltammetry, the electrode potential ramps linearly versus time
in cyclical phases.
• The rate of voltage change over time during each of these phases is
known as the experiment's scan rate (V/s). The potential is measured
between the working electrode and the reference electrode, while the
current is measured between the working electrode and the counter
electrode.
• Common materials for the working electrode include glassy
carbon, platinum, and gold. These electrodes are generally encased in a
rod of inert insulator with a disk exposed at one end. A regular working
electrode has a radius within an order of magnitude of 1 mm. Having a
controlled surface area with a well-defined shape is necessary for being
able to interpret cyclic voltammetry results.
• The counter electrode, also known as the auxiliary or second electrode,
can be any material that conducts current easily and will not react with
the bulk solution.
• Electrolyte :- The electrolyte ensures good electrical conductivity . For
aqueous solutions, many electrolytes are available, but typical ones are
alkali metal salts of perchlorate and nitrate. In no aqueous solvents, the
range of electrolytes is more limited, and a popular choice
is tetrabutylammonium hexafluorophosphate.
EXPERIMENTAL SETUP:-
10. • The current at the working electrode is plotted versus the
applied voltage to give the cyclic voltammogram trace.
• Since the scan is in two directions, two curves are normally seen;
a normal cathodic reduction wave and an anodic wave as the
voltage reverses. Curves are equal in magnitude and
approximately vertically aligned.
• This indicates that the electrode process is a fast reversible
Cyclic Voltammogram :-
11. CRITERIA FOR THE REVERSIBILITY OF
ELECTROCHEMICAL REACTIONS :-
• Electrochemical reversibility describes the rate at which the electron
transfer occurs between the working electrode and the solution
redox species.
• Electrochemically reactions are of three types depending on their
electrochemical behavior :-
(1) Reversible electrochemical reactions :- A redox reaction can be
termed as reversible electrochemical reaction, if species swiftly
exchange electrons with the working electrode. This type of reaction
can be recognized from a cyclic voltammogram by calculating the
potential difference among the two peaks potential.
The given equation concerns to an electrochemically reversible system:
Where n = No. of electrons involved in the electrochemical reaction ,
Delta Ep = difference between the potential of anodic peak and
cathodic peak
12. (2)Irreversible electrochemical reactions :-If there take place a very slow
electron exchange between the working electrode and the redox specie
then it is termed as irreversible electrochemical reaction. The separation
of peak is greater than 0.058/n V in given formula
(3) Quasi-reversible electrochemical reactions :- Quasi-reversible
process exhibits intermediate behavior between irreversible and
reversible process. In this process, both mass transfer and current
transfer control the process.
• we can also define it by the ratio of charge transfer to mass
transfer.
According to bard and faunlkner :-
where Λ = electrochemical reversibility parameter
k0 = electrochemical facility is a measure of the ease of
electron exchange
(Dfv)0.5 = mass transfer