The branch of chemistry, which deals with the study of reaction rates and their mechanisms, called chemical kinetics.
Thermodynamics tells only about the feasibility of a reaction whereas chemical kinetics tells about the rate of a reaction.
For example, thermodynamic data indicate that diamond shall convert to graphite but in reality the conversion rate is so slow that the change is not perceptible at all.
The branch of chemistry, which deals with the study of reaction rates and their mechanisms, called chemical kinetics.
Thermodynamics tells only about the feasibility of a reaction whereas chemical kinetics tells about the rate of a reaction.
For example, thermodynamic data indicate that diamond shall convert to graphite but in reality the conversion rate is so slow that the change is not perceptible at all.
Chemical equilibrium is about reversible reaction, how equilibrium set up n physical and chemical processes,equilibrium constant, its application and Le Chatlier's principle and factors altering the composition of equilibrium
I Hope You all like it very much. I wish it is beneficial for all of you and you can get enough knowledge from it. Clear and appropriate objectives, in terms of what the audience ought to feel, think, and do as a result of seeing the presentation. Objectives are realistic – and may be intermediate parts of a wider plan.
a solution is a homogeneous mixture composed of two or more substances. In such a mixture, a solute is a substance dissolved in another substance, known as a solvent.
Chemical equilibrium is about reversible reaction, how equilibrium set up n physical and chemical processes,equilibrium constant, its application and Le Chatlier's principle and factors altering the composition of equilibrium
I Hope You all like it very much. I wish it is beneficial for all of you and you can get enough knowledge from it. Clear and appropriate objectives, in terms of what the audience ought to feel, think, and do as a result of seeing the presentation. Objectives are realistic – and may be intermediate parts of a wider plan.
a solution is a homogeneous mixture composed of two or more substances. In such a mixture, a solute is a substance dissolved in another substance, known as a solvent.
GCE A LEVEL TOPIC: (A2) CHEMICAL KINETICS
PLEASE DOWNLOAD BECAUSE THERE ARE MANY ANIMATIONS THAT HIDE SOME OF THE CONTENTS (THE ANIMATIONS DO NOT PLAY DURING THE PREVIEW)
Chemical kinetics, also known as reaction kinetics, is the branch of physical chemistry that is concerned with understanding the rates of chemical reactions. It is to be contrasted with thermodynamics, which deals with the direction in which a process occurs but in itself tells nothing about its rate
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.
Professional air quality monitoring systems provide immediate, on-site data for analysis, compliance, and decision-making.
Monitor common gases, weather parameters, particulates.
THE IMPORTANCE OF MARTIAN ATMOSPHERE SAMPLE RETURN.Sérgio Sacani
The return of a sample of near-surface atmosphere from Mars would facilitate answers to several first-order science questions surrounding the formation and evolution of the planet. One of the important aspects of terrestrial planet formation in general is the role that primary atmospheres played in influencing the chemistry and structure of the planets and their antecedents. Studies of the martian atmosphere can be used to investigate the role of a primary atmosphere in its history. Atmosphere samples would also inform our understanding of the near-surface chemistry of the planet, and ultimately the prospects for life. High-precision isotopic analyses of constituent gases are needed to address these questions, requiring that the analyses are made on returned samples rather than in situ.
Introduction:
RNA interference (RNAi) or Post-Transcriptional Gene Silencing (PTGS) is an important biological process for modulating eukaryotic gene expression.
It is highly conserved process of posttranscriptional gene silencing by which double stranded RNA (dsRNA) causes sequence-specific degradation of mRNA sequences.
dsRNA-induced gene silencing (RNAi) is reported in a wide range of eukaryotes ranging from worms, insects, mammals and plants.
This process mediates resistance to both endogenous parasitic and exogenous pathogenic nucleic acids, and regulates the expression of protein-coding genes.
What are small ncRNAs?
micro RNA (miRNA)
short interfering RNA (siRNA)
Properties of small non-coding RNA:
Involved in silencing mRNA transcripts.
Called “small” because they are usually only about 21-24 nucleotides long.
Synthesized by first cutting up longer precursor sequences (like the 61nt one that Lee discovered).
Silence an mRNA by base pairing with some sequence on the mRNA.
Discovery of siRNA?
The first small RNA:
In 1993 Rosalind Lee (Victor Ambros lab) was studying a non- coding gene in C. elegans, lin-4, that was involved in silencing of another gene, lin-14, at the appropriate time in the
development of the worm C. elegans.
Two small transcripts of lin-4 (22nt and 61nt) were found to be complementary to a sequence in the 3' UTR of lin-14.
Because lin-4 encoded no protein, she deduced that it must be these transcripts that are causing the silencing by RNA-RNA interactions.
Types of RNAi ( non coding RNA)
MiRNA
Length (23-25 nt)
Trans acting
Binds with target MRNA in mismatch
Translation inhibition
Si RNA
Length 21 nt.
Cis acting
Bind with target Mrna in perfect complementary sequence
Piwi-RNA
Length ; 25 to 36 nt.
Expressed in Germ Cells
Regulates trnasposomes activity
MECHANISM OF RNAI:
First the double-stranded RNA teams up with a protein complex named Dicer, which cuts the long RNA into short pieces.
Then another protein complex called RISC (RNA-induced silencing complex) discards one of the two RNA strands.
The RISC-docked, single-stranded RNA then pairs with the homologous mRNA and destroys it.
THE RISC COMPLEX:
RISC is large(>500kD) RNA multi- protein Binding complex which triggers MRNA degradation in response to MRNA
Unwinding of double stranded Si RNA by ATP independent Helicase
Active component of RISC is Ago proteins( ENDONUCLEASE) which cleave target MRNA.
DICER: endonuclease (RNase Family III)
Argonaute: Central Component of the RNA-Induced Silencing Complex (RISC)
One strand of the dsRNA produced by Dicer is retained in the RISC complex in association with Argonaute
ARGONAUTE PROTEIN :
1.PAZ(PIWI/Argonaute/ Zwille)- Recognition of target MRNA
2.PIWI (p-element induced wimpy Testis)- breaks Phosphodiester bond of mRNA.)RNAse H activity.
MiRNA:
The Double-stranded RNAs are naturally produced in eukaryotic cells during development, and they have a key role in regulating gene expression .
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.
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.
A brief information about the SCOP protein database used in bioinformatics.
The Structural Classification of Proteins (SCOP) database is a comprehensive and authoritative resource for the structural and evolutionary relationships of proteins. It provides a detailed and curated classification of protein structures, grouping them into families, superfamilies, and folds based on their structural and sequence similarities.
(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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1. D e p a r t m e n t o f A p p l i e d
C h e m i s t r y
Supervisor : Dr. Kriveshini Pillay
Co-Supervisor : Dr. Arjun Maity
Dr. Sushanta Debnath
Dr. Niladri Ballav
2. Slide 2
PRESENTATION FLOW
Kinetics – Background
Rate Of Reaction
Factors Affecting the Rate
Concentration & Rate – Rate Laws, Order
Reaction Mechanism – Molecularity
Pseudo Order Reactions - Brief Overview
Adsorption Kinetic Models – Types
Adsorption Reaction Models
Adsorption Diffusion Model
Temperature & Rate – Arrhenius equation
Kinetic Best Fit Model Interpretation
3. KINETICS - BACKGROUND
Slide 3
• To understand & predict behaviour of a chemical system one
must consider both Thermodynamics & Kinetics
• Factors to be considered when predicting whether or not a
change will take place
Thermodynamics : does a reaction takes place ???
Kinetics : how fast does a reaction proceed ???
1. Gibbs Free Energy ΔG
2. Entropy Change ΔS
3. The RATE of the change
Thermodynamics
Kinetics
4. RATE OF REACTION
Slide 4
Change in the concentrations of reactants or
products per unit time
Progress of a simple reaction,
• Concentration of Reactant A
(purple ) decreases with time
• Concentration of Product B
( Green ) increases with time
• Concentrations of A & B are
measured at time t1 & t2
respectively A1 , A2 & B1 , B2
Reactant A Product B
The graph shows the change in the number of A
and B molecules in the reaction as a function of
time over a 1 min period (bottom)
Rate Of Reaction
5. CONTINUED .......
Slide 5
Δ[A]
Δt
Rate = Change in concentration of A
change in time
Conc. A2 – Conc. A1
t2 - t1
= - = -
Δ[B]
Δt
Rate = Change in concentration of B
change in time
Conc. B2 – Conc. B1
t2 - t1
= =
Rate = = ................................ for simpler reactions
The ( - ve ) sign is used because the concentration of A is decreasing.
Δ[A]
Δt
Δ[B]
Δt
Rate with respect to A
Rate with respect to B
6. CONTINUED .....
Slide 6
For complex Reactions
where a, b, c,.....e, f, g,.... are stoichiometric coefficients in the balanced
Chemical equation & A, B , C ,..... E, F, G, .... are Chemical Species
At const. V .....
mol L-1 s-1 for gaseous reactants & products ,
conc. is usually expressed as partial pressures ,
so R is atm s-1
1
a
∆[A]
∆ t
1
b
∆[B]
∆ t
Rate = - = -
1
e
∆[E]
∆ t
=
1
f
∆[F]
∆ t
=
aA + bB + cC + ......... eE + fF + gG + ..........
Unit Of Rate
7. CONTINUED .....
Slide 7
Average Rate Of Reaction decreases with time as concentration
of reactants decreases
Change in the concentration of reactants or
products at a given instant of time
slope of a tangent line to the curve
of a conc. versus time plot
Slope =
C2 - C1
t2 - t1
Instantaneous Rate = Lim = Δx/Δt = dx/dt
t 0
Concentration Versus Time Plot
Instantaneous Rate
8. FACTORS AFFECTING THE RATE
Slide 8
Nature Of Reactants
Concentration Of Reactants
Temperature
Surface Area Of Reactants
Catalyst
F
A
C
T
O
R
S
The same mass of Steel wool bursts
into flame
A Hot Steel nail glows feebly when
placed in oxygen
•
• Heterogeneous reaction occurs at
interface of two phases of reactants
• If one reactant is Solid , rate increases
with increase in surface area of solid
phase reactant
• Surface area increases , area of
contact between reactants increases -
rate of encounter between reactants
increases - Rate increases
• Surface area of a solid can be
increased by Sub-division i.e. dividing
the bigger particles in smaller
Surface Area Of Reactants
• Rate of “ Homogeneous Reactions” is
higher than the “Heterogeneous
Reactions”
• Rate depends on the physical state of
reactants , e.g. liquid /gaseous/solid
• Rate depends on the number of
collisions or encounters between the
reacting species
Nature Of Reactants
9. CONTINUED......
Slide 9
V = 1 m3
A = 6 m2
V = 1 m3
A = 8 m2
V = 1 m3
A = 12 m2
V = 1 m3
A = 36 m2
V = 1 m3
A = 20 m2
V = 1 m3
A = ?????
10. CONCENTRATION & TEMPERATURE
Concentration Temperature
• Reacting molecules must Collide
with proper Orientation &
sufficient Energy
• Above factors increases as conc.
increases & hence Rate increases
• As T increases avg K.E increases
• As avg. K.E increases, the
particles move faster &
Collision energy & Collision
frequency increases & hence
Rate increases
Slide 10
11. PRESENCE OR ABSENCE OF CATALYST
Catalyst
• A substance that increases the
reaction rate without undergoing a
chemical change itself
• Provides an alternate reaction
mechanism faster than mechanism in
absence of catalyst
• Lowers the activation energy for a
chemical reaction
• Simple Catalyzed Reaction Scheme :
C is catalyst , R1 & R2 reactants , P1 &
P2 products , I is intermediate
I + R2 I + P2
R1 + C I + P1
Slide 11
12. CONCENTRATION & RATE
Slide
A General reaction occurring at a const T
Acc. to the Law Of Mass Action Rate Of Reaction α [ A ]a [ B ]b
: expresses the relation between rate of reaction & concentration
of reactants
k is Rate Constant & is a function of T & P ( P dependence is small & usually
ignored )
Reaction has an individual Order with respect to each reactant
Reaction order wrt A = m & wrt B = n ; Overall Order of the reaction = m + n
aA + bB cC + dD
Rate Law
Rate = k [A]m [B]n
Slide 12
13. CONTINUED ......
Slide 13
[A] versus Time plot for 0, 1st & 2nd order rxns Rate versus [A] plot for 0, 1st , 2nd order rxns
Reaction Order
“n”
Rate variation with
Conc.
Differential Rate
Law
Integrated Rate
Law
1
Rate doubles when
[A] doubles Rate = k [A]1 ln [A]t /[A]o = -kt
2
Rate quadruples
as [A] doubles Rate = k [A]2 1/[ A]t = kt + 1/[A]0
0
Rate does not
change with [A] Rate = k [A]0 [A]t - [A]0 = - kt
A Products
14. CONTINUED ......
Slide 14
2NO(g) + 2H2(g) N2(g) + 2H2O(g)
Rate Law : k[NO]2[H2] Order of reaction = 3
1st Order wrt [H2 ]
2nd Order wrt [ NO]
Stoichiometric coefficient of [H2] = 2
Order with respect to [H2] = 1
Reaction orders must be determined from experimental data and cannot be
deduced from the balanced equation
Method for determining
Order of reaction
Half Life
Method
Powell Plot
Method
Isolation
Method
Initial Rate
Method
15. CONTINUED ......
Slide 15
Initial Rate Method
Information sequence to determine the Kinetic parameters of a Reaction
Rate Constant
k & actual rate
law
Calculation of
Reaction order
Initial rates
determination by
drawing tangent to
the plot of Conc vs T
Series of Plot of
Concentration
versus time
• A series of experiments wherein the concn
of one reactant at a time is varied, initial
rate R0 at time t0 of the rxn is measured.
• By comparing the conc. change to the Rate
change, Order wrt each reactant can be
determined
16. REACTION MECHANISM
Slide 16
Reactions can be divided on the basis of Reaction mechanism
Elementary Reactions Complex Reactions
• Only one step reactions
• No Intermediate
• Only One Transition state
• Further divided in Unimolecular ,
Bimolecular & Termolecular rxn
based on Molecularity
• Two or more steps
• With Intermediate formation
• Multiple Transition states
• Rate of over all complex rxn is
the rate of slowest rxn step
(Rate determining Step)
Complex ReactionElementary Reaction
17. MOLECULARITY
Slide 17
Number of colliding molecular entities that are involved in a single reaction step
Molecularity
Unimolecular TermolecularBimolecular
Molecularity ExamplesRate lawElementary Step
Unimolecular
Bimolecular
Termolecular
A Products
A + A Products
A + B Products
A + A + A Products
A + A + B Products
A + B + C Products
rate=k [A]
rate=k[A]2
rate=k [A][B]
rate=k[A][B]rate=k[A][B]
rate=k[A]3
rate=k [A]2 [B]
rate = k [A][B][C]
N2O4(g)→2NO2(g)
2NOCl→2NO(g)+CO2(g)
CO(g)+NO3(g)→NO2(g)+CO2(g)
2NO(g)+O2(g)→2NO2(g)
H+O2(g)+M→HO2(g)+M
18. CONTINUED ......
Slide 18
Molecularity
• Number of reacting species which
collide to result in reaction
• Only positive integral values e.g 1,2,3
& never –ve
• Theoretical concept & value is derived
from mechanism of reaction
• Sum of powers to which concentrations
are raised in the rate law expression
• Zero, fractional or even be -ve
• Experimental fact & derived from rate
law
Slowest step of a
chemical reaction
that determines the
speed (rate) at
which the overall
reaction proceeds
Rate
Determining
Step
Eg : A complex reaction
NO2(g)+CO(g)→NO(g)+CO2(g)
occur in two elementary steps :
NO2+NO2→NO+NO3 (slow) rate const k1
NO3+CO→NO2+CO2 (fast) rate const k2
Rate= k1 [NO2][NO2] = k1 [NO2]2
Order
19. TEMPERATURE & RATE
Slide 19
• Rxns occur when molecules
undergo Collisions
• All Collisions are not Effective
• Collisions of molecules with
Sufficient Energy are
only Effective
Collision Model
• Collisions which lead to
product formation
• Governed by 2 factors :
Effective Collisions
Energy Barrier
Molecules having energy greater
than or equal to threshold energy
will only form Product
Orientation Barrier
Reactants must collide in favourable
orientation to make & break bonds
E.g. Cl + NOCl NO + Cl2
20. CONTINUED ...
Slide 20
Increase in temperature increases the no. of Effective collisions i.e
fraction of colliding molecules that have enough energy to exceed Ea
increases
Explanation for increase in Rate of reaction with temperature by
: Energy- distribution Curve at two temperatures T2 & T1
21. Taking log ln k = ln A - Ea / RT
CONTINUED .....
Slide 21
Temperature dependence is expressed by -
Arrhenius Equation
Rate increases non linearly with temperature as
shown in graph, k increases exponentially as T
increases :
k = Ae-Ea/RTArrhenius Equation k = rate constant
A = frequency factor
Ea = activation
energy
Arrhenius Plot
Minimum energy required
to initiate a chemical
reaction
Activation Energy
Higher T Larger k Increases Rate
Smaller Ea Larger k Increases Rate
22. PSEUDO ORDER REACTIONS
Slide 22
An order of a chemical reaction that appears to be less than the true order
due to experimental conditions ; when one reactant is in large excess
Pseudo Order Reactions
Pseudo Second Order
Reactions
Pseudo First Order
Reactions
2nd Order kinetics can be approximated as 1st
Order under certain experimental condition
3rd Order kinetics can be approximated as 2nd
Order under certain experimental condition
Pseudo first order kinetics
2nd order rate law = k [A] [B]
• Reduces to Pseudo first order if
either [A] or [B] is in large excess
• Pseudo first order rate law = k’ [B]
where k’ = k [A] ...... Pseudo first
order rate constant
Pseudo Second order kinetics
3rd order rate law = k [A]2 [B]
• Reduces to Pseudo first order , if [A] is
in excess Pseudo second order if [B]
is in excess
• Pseudo Second order rate law = k’ [A]2
where k’ = k [B] ...... Pseudo second
order rate constant
23. ADSORPTION KINETICS MODELS
Slide 23
Adsorption Kinetic Models
Adsorption Diffusion ModelsAdsorption Reaction Models
Pseudo
first order
Elovich’s
Equation
Second
Order
Pseudo
Second Order
Intraparticle
Diffusion
Model
Liquid Film
Diffusion
Model
Film
Diffusion
Mass
Transfer
Linear
Driving
Force
Homogen
eous Solid
Diffusion
Model
Weber Morris
Model
Dumwald
Wagner
Model
Double
Exponential
Model
24. ADSORPTION REACTION MODELS
Slide 24
Pseudo First Order
• Earliest Model ; Proposed by Lagergren
(1898) to describe kinetic process of Liq-sol
phase adsorption
• Recent uses : kinetic study of adsorption
of pollutants from waste water
dqt / dt = kp1 ( qe – qt )
Rate Equation
log (qe – qt ) = log qe - kp1 t /2.303• Integrated form of rate eq.
• Plot of log (qe – qt ) ~ t should give a linear relationship Lagergren Plot ; kp1
& qe can be determined from slope & intercept of Lagergren Plot
• Fig 1 : Lagergren Plot for Cadmium adsorption on Rice husk
Fig 1
25. ADSORPTION REACTION MODELS
Slide 25
Pseudo Second Order
• Proposed by Ho (1995)
• To describe kinetic process of adsorption
of divalent metal ions on Peat
• Recent Uses : Kinetic study of adsorption
process of divalent metal ions, dyes ,
organic substances from aq. solns
d (P)t / dt = kp2 [(P)0 - (P)t]2Rate Equation
t/ qt = 1/ kp2 q2
e + 1/ qe t• Integrated form of rate eq.
• Plot of t/ qt ~ t should give a linear relationship with a slope of 1/ qe &
intercept of 1/ kp2 q2
e
• Fig 2 : Pseudo second order plot for Pb2+ ions onto NSSCAC at diff concs.
Fig 2
26. ADSORPTION REACTION MODELS
Slide 26
Elovich’s Model
• Proposed by Zeldowitsch (1934) to study
kinetics of Chemisorption of gases onto
heterogeneous solids
• Recent Uses : kinetics study of removal of
pollutants from aq. solns
dq /dt = ae-αq
Elovich Equation
q = αln (aα) + αlnt• Integrated form of rate eq.
• Plot of q ~ lnt should be linear Elovich Plot ; slope gives α & intercept gives a
• Fig 3 : Elovich Plot for uptake of Cu(II) from copper solns at two concs 10mg/L
& 100mg/L
Fig 3
27. LIQUID FILM DIFFUSION MODEL
Slide 27
Liquid Film Diffusion Model
δq /δt = kf S0(C – Ci ). ln ( 1- qt/qe ) = - 3D1
et/r0Δr0k’
Linear driving force rate law Film Diffusion Mass
transfer rate law
2 Rate laws of
this model
• Applied to describe mass transfer
through liquid film
• Plot of ln ( 1- qt/qe ) ~ t straight line
with a slope of 3D1
e/r0Δr0k if the
film diffusion is the rate limiting step
• Recent Uses : Applied to model
several liquid / solid adsorption cases
e.g. Phenol adsorption by a polyemric
adsorbent NDA – 100
• Fig 4 : Liquid film diffusion model plot
Fig 4
28. INTRAPARTICLE DIFFUSION MODEL
Slide 28
Intraparticle Diffusion Model
Homogeneous Solid diffusion Model
Webber Morris model
3 types of
Intraparticle
diffusion model
Dumwald - Wagner model
Homogeneous Solid diffusion Model
• Describes mass transfer in an amorphous
& homogeneous sphere
δq /δt = Ds /r2 δ/δr (r2 δq/δr)
HSDM Equation
• Recent Uses : Kinetic study of
adsorption of salicylic acid & 5-
sulfosalicylic acid from aq. solns by
hypercrosslinked polymeric adsorbent
NDA-99 & NDA - 101
Ds = intraparticle
diffusion coefficient
r = radial position
q = adsorption quantity of
solute in the solid
varying with radial position at
time t
29. CONTINUED.....
Slide 29
qt = kint t1/2 + Ci
• Plot of qt ~ t1/2 should be straight line
with a slope of kint & intercept Ci = 0 when Intraparticle diffusion is the rate
limiting step
Webber Morris model
• Acc to this model : solute uptake varies proportionally with t1/2 rather than
with contact time t
Webber Morris Equation
• Intercept of above plot gives an idea of thickness of boundary layer i.e. larger
the intercept , the greater Boundary effect
kint = intraparticle diffusion
rate constant
t1/2 = half life time
Ci = the intercept of the stage i
associated with the thickness
of the boundary layer.
qt = kint t1/2• Rate Equation modifies to .................
30. CONTINUED.....
Slide 30
Fig : 1a : Webber Morris Intraparticle
diffusion model plot of Pb2+ adsorption
by heat treated ( in air) composites
Fig : 1b : Webber Morris Intraparticle
diffusion model plot of Pb2+ adsorption
by coconut shell carbons
• Fig 1a : Rate controlling step in Pb2+
adsorption by heat treated ( in air )
composites : Intraparticle diffusion
• Fig 1b : Plot shows Multilinearity, there are
three different linear regions.
Initial linear region is attributed to the film
diffusion ; governed by boundary layer effect
Final gradual uptake is governed by
the pore-diffusion mechanism.
Second describes the intraparticle diffusion stage
Multilinearity : Kinetic mechanisms involved
31. CONTINUED.....
Slide 31
Dumwald - Wagner model
log (1 – F2) = - Kt/2.303
Dumwald- Wagner Equation
Plot of log (1 – F2) ~ t should be linear
Recent Uses
Kinetic study of adsorption systems e.g.
p –toludine adsorption from aq. solns onto
hypercrosslinked polymeric adsorbents
32. DOUBLE EXPONENTIAL MODEL
Slide 32
Double Exponential Model
• Proposed by Wilezak & Keinath (1993)
• Kinetics of Heavy metals adsorption e.g Pb(II) &Cu(II) from aq. solns
• Two step mechanism :
a.) A rapid phase involving external & internal diffusions followed by
b.) A slow phase controlled by Intraparticle diffusion
qt = qe -– D2/ma exp(-K2t)
qt = qe - D1/ma exp (-K1t) – D2/ma exp(-K2t)
• If K1 >> K2 ; Rapid process can be assumed negligible on over all kinetics ; then
simplified eq. :
• DEM can also describe a process where adsorbent offers 2 different types of
adsorption sites : 1.) First type site – rapid adsorption
2.) Second site type – slow adsorption
Double Exponential Equation
33. KINETIC BEST FIT MODEL: INTERPRETATION
Slide 33
Phosphate Sorption Kinetics
Phosphate Removal from aqueous solutions by a nanostructured Fe-Ti bimetal oxide
sorbent ; Journal of Chemical Engineering Research & Design ; Jianbo Lua,b,* et al
Pseudo first order – R2 = 0.964
Pseudo second order – R2 = 0.997
Elovich - R2 = 0.976
Kinetic data
Pseudo first order
Pseudo Second order
Elovich
Regression analysis
Fitted with
R2 values compared
Pseudo Second Order Model
Chemisorption between
adsorbent active sites &
phosphate
Indicated
34. CONTINUED .....
Slide 34
Elovich’s Model
Correlation coefficient R2
Varies between -1 & + 1
1 = positive correlation
0 = No correlation
−1 = Total negative correlation
measure of the linear correlation between two variables X and Y
Good correlation with experimental data
Composite Fe-Ti bimetal oxide - Heterogeneous surface
Indicated FTBMO -
heterogeneous
Intraparticle diffusion model plot
Non zero intercept
Boundary layer diffusion- Rate limiting step
Indicated
35. D e p a r t m e n t o f A p p l i e d
C h e m i s t r y