“It is a process by which a drug leaves a drug product
& is subjected to ADME & eventually becoming
available for pharmacological action.”
It involves the study of drug release rate, dissolution
/diffusion/erosion studies and the study of factors
affecting release rate of the drug.
DISSOLUTION
Dissolution is defined as a process in which a solid substance solubilises in a given solvent.
(i.e. mass transfer from the solid surface to the liquid phase.)
Three Theories:
Diffusion layer model / Film theory
Danckwert’s model / Penetration or Surface renewal theory
Interfacial barrier model / Double barrier or Limited solvation theory
Best slides ever of theories of drug dissolution, film teory, dankwerts model, interfacial model of dissolution, noyes whitneys equation, modified noyes whitney equation, sink condition, 1st order & zero order kinetics of drug dissolution, conclution, references
This presentation discusses the correlation of dissolution with In-vitro In-vivo correlation, Effect of Selection of Dissolution Apparatus and Dissolution Medium on IVIVC, BCS classification and levels of IVIVC.
“It is a process by which a drug leaves a drug product
& is subjected to ADME & eventually becoming
available for pharmacological action.”
It involves the study of drug release rate, dissolution
/diffusion/erosion studies and the study of factors
affecting release rate of the drug.
DISSOLUTION
Dissolution is defined as a process in which a solid substance solubilises in a given solvent.
(i.e. mass transfer from the solid surface to the liquid phase.)
Three Theories:
Diffusion layer model / Film theory
Danckwert’s model / Penetration or Surface renewal theory
Interfacial barrier model / Double barrier or Limited solvation theory
Best slides ever of theories of drug dissolution, film teory, dankwerts model, interfacial model of dissolution, noyes whitneys equation, modified noyes whitney equation, sink condition, 1st order & zero order kinetics of drug dissolution, conclution, references
This presentation discusses the correlation of dissolution with In-vitro In-vivo correlation, Effect of Selection of Dissolution Apparatus and Dissolution Medium on IVIVC, BCS classification and levels of IVIVC.
Dissolution, factors affecting drug dissolution, methods to evaluate dissolution, advantages and disadvantages, recent approaches--these are the topics covered in this presentation.
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This ppt is more useful for Civil Engineering students.
I have prepared this ppt during my college days as a part of semester evaluation . Hope this will help to current civil students for their ppt presentations and in many more activities as a part of their semester assessments.
I have prepared this ppt as per the syllabus concerned in the particular topic of the subject, so one can directly use it just by editing their names.
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In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
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Bob Boule
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UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
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The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
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Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
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Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
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We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Essentials of Automations: Optimizing FME Workflows with Parameters
Kausar
1. A
Seminar On
Presented By
KAUSAR SULTHANA
Under the guidance of
Dr.D.KARTHIKEYAN M.Pharm.,Ph.D
DEPARTMENT OF PHARMACEUTICS
DISSOLUTION RELEASE MODELING
SRIKRUPA INSTITUTE OF PHARMACEUTICAL SCIENCES,
VELIKATTA ,SIDDIPET, MEDAK-502277, TELANGANA.
(Affiliated to osmania university)
2. WHAT IS DISSOLUTION?
WHAT IS DISSOLUTION RATE?
• It is defined as the amount of solute
dissolved in a given solvent under standard
conditions of temperature, pH , solvent
composition and constant solid surface area.
• Dissolution is a process in which a solid
substance solubilises in a given solvent i.e
mass transfer from the solid surface to the
liquid phase
4. MECHANISMS OF DRUG RELEASE
1.) Diffusion method:
Molecules intermingle as a result of their kinetic
energy.
Based on Fick’s first law of diffusion
J= -D(dc/ dx)
where,
J is the amount of drug passing through the
surface per unit time
D is the diffusion coefficient
dc/dx is the concentration gradient
5. 2.) Zero order release
• Zero order refers to the process of constant drug release from a drug delivery device
such as oral osmotic tablets, transdermal systems, matrix tablets with low soluble
drugs
• Drug release from pharmaceutical dosage forms that donot disaggregate and release
the drug slowly can be represented by the following equation
•
• W0 – Wt = K .t ---------- 1---------
• W0 = initial amount of drug in the dosage form.
• Wt = amount of drug in the pharmaceutical dosage form at time t
• K = proportionality constant.
• Dividing this equation by W0 and simplifying
• ft = K0 .t
• where ft = 1-(Wt/W0)
• Ft = fraction of drug dissolved in time t and Ko the zero order release constant.
• A graphic of the drug dissolved fraction versus time will be linear
6. 3.) First order release:
• If the amount of drug Q is decreasing at a rate that is
proportional to he amount of drug Q remaining ,then the rate
of release of drug Q is expressed as
dQ/dt = -k.Q -----------------1
• Where k is the first order rate constant.
• Integration of above equation gives,
• ln Q = -kt + ln Q0 ---------------- 2
• The above equation is aslo expressed as
• Q = Q0 e-kt ------------------------ 3
• Because ln=2.3 log, equation (2) becomes
• log Q = log Q0 + kt/2.303 ---------------------(4)
• This is the first order equation
• A graphic of the logarithm of released amount of drug versus
time will be linear.
7. 4.) Korsmeyer and Peppas model
• Also called as Power law
• To understand the mechanism of drug release and to
compare the release profile differences among these matrix
formulations ,the percent drug released time versus time
were fitted using this equation
Mt / M∞ = k. tn
• Mt / M∞ = percent drug released at time t
• k= constant incorporating structural and geometrical
characteristics of the sustained release device.
• n = release exponential which characterizes mechanism
of drug release
8. THEORIES OF DISSOLUTION
I. Diffusion layer model/Film Theory
II. Danckwert’s model/Penetration or surface
renewal Theory
III. Interfacial barrier model/Double barrier or
Limited solvation theory.
9. I. Diffusion layer model/Film Theory :-
It involves two steps :-
a. Solution of the solid to form stagnant film or
diffusive layer which is saturated with the drug
b. Diffusion of the soluble solute from the stagnant
layer to the bulk of the solution; this is rate
determing step in drug dissolution.
10.
11. DIFFUSION LAYER MODEL/FILM THEORY
Transport of solute into bulk is slower than solvent-solute
interaction
12. Based on Fick’s first law of diffusion:
Where,
dc/dt= dissolution rate of the drug
K= dissolution rate constant
Cs= concentration of drug in stagnant layer
Cb= concentration of drug in the bulk of the
solution at time t
13. Nerst and Brunner modified Noyes-Whitney
equation to:
dC/dt =D.A.Kw/o (Cs –Cb) v.h
dC/dt = dissolution rate of the drug.
D = diffusion coefficient of the drug.
A = surface area of the dissolving solid
Kw/o = water/oil partition coefficient of drug
V = volume of dissolution medium
h = thickness of stagnant layer
(Cs- Cb)= concentration gradient for diffusion of drugs
14. PARAMETERS SYMBOL INFLUENCE ON DRUG
DISSOLUTION
Diffusion coefficient D Greater the value, faster is
the dissolution rate
Surface area of solid A Greater the surface area,
faster the dissolution rate
Water/oil partition
coefficient
Kw/o Higher the value, faster the
dissolution rate
Concentration gradient Cs-Cb Greater the value, faster
the dissolution rate
Thickness of stagnant layer h More the thickness, lesser
is the diffusion and
dissolution rate
15. • Noyes-Whitney equation represents first order
dissolution rate process where (Cb-Cs) acts as the
driving force .
• Dissolution is in non-sink conditions, this is true in
case of in-vitro dissolution in limited dissolution
medium.
• Dissolution slows down as concentration in the
bulk builds up.
• In-vivo dissolution is always faster than in-vitro
dissolution, as Cb=0.
• No concentration build up, hence no retarding
force on dissolution rate.
16. • Cs>>Cb, thus sink conditions are maintained.
• Equation reduces to dC/dt =K
17. IN VITRO-IN VIVO CORRELATIONS
The relation can be improved by:
• Bathing the dissolving solid in fresh solvent.
• Increasing the volume of dissolution fluid.
• Partitioning dissolved drug from aqueous phase
to organic phase.
• Adding water-miscible solvent to the
dissolution fluid.
• Adding adsorbent to remove the dissolved
drug.
18. • Noyes-Whitney equation assumes that the
surface area of the dissolving solid remains
constant which is practically impossible for
dissolving solids.
• To account for particle size decrease and change
in surface area, Hixson and Crowell’s c Equation:
w0
1/3 – w1/3 = k .t
W=mass of drug remaining to be dissolved at
time t
k=dissolution rate constant
W =original mass of the drug
19. Hixon-crowell cube root law
• Hixon Crowell cube root equation for dissolution kinetics is based on assumption that:
a) Dissolution occurs normal to the surface of the solute particles
b) Agitation is uniform all over the exposed surfaces and there is no stagnation.
c) The particle of solute retains its geometric shape
• The particle (sphere) has a radius r and surface area 4Π r2
• Through dissolution the radius is reduced by dr and the infinitesimal
volume of section lost is
• dV = 4Π r2 . dr ------------------(1)
• For N such particles, the volume loss is
• dV = 4N Π r2 dr ----------------------------(2)
• The surface of N particles is
• S = 4 N Π r2 -----------------------------(3)
• Now ,the infinitesimal weight change as represented by he Noyes –
Whitney law ,equation is
• dW = k.S.Cs.dt ---------------------------(4)
• The drugs density is multiplied by the infinitesimal volume change
20. • ρ.dV, can be set equal to dW,
• ρ.dV = k.S.Cs.dt --------------------------- (5)
• Equations (2) and (3) are substituted into equation (5) , to yield
• -4 ρ N Π r2 . dr = 4 N Π r2 . K .Cs .dt -------------(6)
• Equation 6 is divided through by 4 N Π r2 to give
• - ρ . Dr = k Cs.dt -------------------------(7)
• Integration with r = ro at t= 0produces the expression
• r = ro – kCs .t/ ρ -----------------------------(8)
• The radius of spherical particles can be replaced by the weight of
N particles by using the relationship of volume of sphere
• W = N ρ(Π/6)d3 ----------------------------(9)
• Taking cube root of the equation (9) yield,
• W 1/3 = [ N ρ(Π/6)]1/3. d. ----------------------------(10)
• The diameter d from equation (10) ,is substituted for 2r into
equation 8 to give
21. • W0
1/3 - W1/3 =k t ------------------(11)
• Where k = [ N ρ(Π/6)]1/3.2 k Cs/ρ.
• Wo is the original weight of drug
particles .
• Equation (11) is known as Hixson-
Crowell cube root law ,and k is the
cube root dissolution rate constant.
22. Danckwert’s model/Penetration or
surface renewal Theory :-
• Dankwert takes into account the eddies or
packets that are present in the agitated fluid
which reach the solid-liquid interface, absorb
the solute by diffusion and carry it into the
bulk of solution.
• These packets get continuously replaced by
new ones and expose to new solid surface
each time, thus the theory is called as surface
renewal theory.
23.
24. • As the packets are continuously replaced with
new packets of fresh solvent, the concentration
at interface never reaches Cs.
• Since solvent packets are exposed to new solid
surface each time, the theory is also known as
surface renewal theory.
25. • The Danckwert model is expressed by the
equation:
V.dC/dT= dm/dt = A ( Cs-Cb). (ү.D)1/2
Where, m=mass of solid dissolved
y= rate of surface renewal
26. Interfacial barrier model/Double
barrier or Limited solvation theory :-
• The concept of this theory is explained by
following equation-
G = Ki (Cs - Cb)
Where,
G = dissolution rate per unit area,
Ki = effective interfacial transport constant.
27. • In the interfacial barrier model, it is assumed that
the reaction at the solid/liquid interface is not
instantaneous due to a high activation free energy
barrier which has to be surmounted before the
solid can dissolve.
• The rate of diffusion in the static layer is
relatively fast in comparison with the
surmounting of the energy barrier, which
therefore becomes rate limiting in the dissolution
28. Equation : dm/dt = Ki (Cs – Cb)
Where Ki = effective interfacial transport rate
29. CONCLUSION
• The Quantitative interpretation of the values
obtained in dissolution assays is easier using
mathematical equations which describe the release
profile in function of some parameters related with
the pharmaceutical dosage forms
• As dissolution is an important qc procedure, it is
necessary to understand the basic mechanisms and
theories of the process
• Only then its easier to interpret the results and
understand IVIVC