GC workshop at the National Symposium for Advances in Pharmaceutical Analysis (APAT 2013). St Peter's Institute of Pharmaceutical Sciences, Hanamkonda, Warangal, AP, India.
In this slide contains types of HPLC Columns, Plate theory and Van Deemter Equation.
Presented by : Malarvannan.M (Department of pharmaceutical analysis).
RIPER,anantpur.
fluid chromatography (SFC) can be used on an analytical
scale.
It is a combination of High performance liquid chromatography (HPLC)
and Gas chromatography (GC).
It can be used with non-volatile and thermally labile analytes.
It can be used with the universal flame ionization detector.
It is important to producing narrower peaks due to rapid diffusion.
It is important for the chiral separations and analysis of high-molecularweight
hydrocarbons.
Supercritical fluids are suitable as a substitute for organic solvents in a
range of industrial and laboratory processes.
HPLC[ HIGH PERPROMANCE LIQUID CHROMATOGRAPHY OR HIGH PRESSURE LIQUID CHROMAT...Dr. Ravi Sankar
GASSCHROMATOGRAPHY[GC], ADVANCED STUDY OF THE FOLLOWING AND THEIR APPLICATIONS, INTRODUCTION, THEORY, COLUMN OPERATION,INSTRUMENTATION AND DETECTION,APPLICATIONS AND ADVANTAGES OF GC,PRINCIPLE OF SEPARATION IN GC, HOW GC MECHINE WORKS? COLUMN, DETECTORS.
BY P.RAVISANKAR, VIGNAN PHARMACY COLLEGE, VADLAMUDI, GUNTUR, A.P, INDIA.
In this slide contains types of HPLC Columns, Plate theory and Van Deemter Equation.
Presented by : Malarvannan.M (Department of pharmaceutical analysis).
RIPER,anantpur.
fluid chromatography (SFC) can be used on an analytical
scale.
It is a combination of High performance liquid chromatography (HPLC)
and Gas chromatography (GC).
It can be used with non-volatile and thermally labile analytes.
It can be used with the universal flame ionization detector.
It is important to producing narrower peaks due to rapid diffusion.
It is important for the chiral separations and analysis of high-molecularweight
hydrocarbons.
Supercritical fluids are suitable as a substitute for organic solvents in a
range of industrial and laboratory processes.
HPLC[ HIGH PERPROMANCE LIQUID CHROMATOGRAPHY OR HIGH PRESSURE LIQUID CHROMAT...Dr. Ravi Sankar
GASSCHROMATOGRAPHY[GC], ADVANCED STUDY OF THE FOLLOWING AND THEIR APPLICATIONS, INTRODUCTION, THEORY, COLUMN OPERATION,INSTRUMENTATION AND DETECTION,APPLICATIONS AND ADVANTAGES OF GC,PRINCIPLE OF SEPARATION IN GC, HOW GC MECHINE WORKS? COLUMN, DETECTORS.
BY P.RAVISANKAR, VIGNAN PHARMACY COLLEGE, VADLAMUDI, GUNTUR, A.P, INDIA.
Instrumentation of HPLC, principle by kk sahuKAUSHAL SAHU
INTRODUCTION
Instrumentation of HPLC
TYPES OF HPLC
PARAMETERS
APPLICATION
CONCLUSION
REFERENCE
High-performance liquid chromatography ( HPLC) is a specific form of column chromatography generally used in biochemistry and analysis to separate, identify, and quantify the active compounds.
HPLC mainly utilizes a column that holds packing material (stationary phase), a pump that moves the mobile phase(s) through the column, and a detector that shows the retention times of the molecules.
HPLC- high performance liquid chromatographyhirenthakkar4
HPLC- high performance liquid chromatography or high pressure liquid chromatography overall review
good animation & GIF for presentation
detectors in detail
basic instrumentation with detectors
Gas chromatography and its instrumentationArgha Sen
Gas chromatography is an unique technology which helps us in separating volatile analytes. Its is an easy and reproduciple method for detecting residual solvents found in APIs.
Instrumentation of HPLC, principle by kk sahuKAUSHAL SAHU
INTRODUCTION
Instrumentation of HPLC
TYPES OF HPLC
PARAMETERS
APPLICATION
CONCLUSION
REFERENCE
High-performance liquid chromatography ( HPLC) is a specific form of column chromatography generally used in biochemistry and analysis to separate, identify, and quantify the active compounds.
HPLC mainly utilizes a column that holds packing material (stationary phase), a pump that moves the mobile phase(s) through the column, and a detector that shows the retention times of the molecules.
HPLC- high performance liquid chromatographyhirenthakkar4
HPLC- high performance liquid chromatography or high pressure liquid chromatography overall review
good animation & GIF for presentation
detectors in detail
basic instrumentation with detectors
Gas chromatography and its instrumentationArgha Sen
Gas chromatography is an unique technology which helps us in separating volatile analytes. Its is an easy and reproduciple method for detecting residual solvents found in APIs.
A separation technique in which the mobile phase is a gas. Gas chromatography is always carried out in a column.
Separating mixtures of gases or volatile materials based primarily on their physical properties.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofsAlex Pruden
This paper presents Reef, a system for generating publicly verifiable succinct non-interactive zero-knowledge proofs that a committed document matches or does not match a regular expression. We describe applications such as proving the strength of passwords, the provenance of email despite redactions, the validity of oblivious DNS queries, and the existence of mutations in DNA. Reef supports the Perl Compatible Regular Expression syntax, including wildcards, alternation, ranges, capture groups, Kleene star, negations, and lookarounds. Reef introduces a new type of automata, Skipping Alternating Finite Automata (SAFA), that skips irrelevant parts of a document when producing proofs without undermining soundness, and instantiates SAFA with a lookup argument. Our experimental evaluation confirms that Reef can generate proofs for documents with 32M characters; the proofs are small and cheap to verify (under a second).
Paper: https://eprint.iacr.org/2023/1886
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
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.
20 Comprehensive Checklist of Designing and Developing a WebsitePixlogix Infotech
Dive into the world of Website Designing and Developing with Pixlogix! Looking to create a stunning online presence? Look no further! Our comprehensive checklist covers everything you need to know to craft a website that stands out. From user-friendly design to seamless functionality, we've got you covered. Don't miss out on this invaluable resource! Check out our checklist now at Pixlogix and start your journey towards a captivating online presence today.
Full-RAG: A modern architecture for hyper-personalizationZilliz
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
3. An Analytical chemist …
… tries to answer only two questions.
Given a sample …
What is it? Qualitative analysis
How much is it? Quantitative analysis
5. Analytical Chemistry – The road ahead
Increased use of hyphenated techniques, like LC-MS, GC-FTIR
& LC-NMR.
Lower limits of detection.
“Walk-away” automation.
Intuitive software and data handling.
Increasing use single-point control systems via the Internet.
6. The Analytical Pharmacist in the 21st century
Full-time analytical chemist.
Part-time software engineer and EDP
specialist.
AND…a knowledge of software
platforms, data handling techniques
and preferably, basic electronics.
7. Chromatography … An introduction
7http://analysciences.com
From: The Universal Etymological Dictionary, 1731
8. Chromatography … since Biblical times.
So Moses brought Israel from the Red Sea, and they went
out in the wilderness of Shur …and found no water.
And when they came to Marah, they could not drink of the
waters of Marah, for they were bitter;
And the people murmured against Moses, saying, What
shall we drink?
And he cried unto the Lord and the Lord shewed him
a tree, which when he had cast into the waters, the
waters were made sweet.
Exodus, Chapter 15 §22–25 (King JamesVersion).
Source: Article by Leslie Ettre.
Ion exchange
chromatography?
9. 110 years of modern chromatography
March 21, 1903
At the Warsaw Society of Natural Scientists,
Russian botanist, Mikhail Semenovich Tswett
presented the first official lecture on
chromatographic separation.
9
Tswett, MS (1906) Physico-chemical studies on chlorophyll adsorptions. Berichte der Deutschen botanischen Gesellschaft, 24, 316-23
Tswett, MS (1906) Adsorption analysis and chromatographic method. Application to the chemistry of chlorophyll. Berichte der Deutschen
botanischen Gesellschaft, 24, 385 http://www.life.uiuc.edu/govindjee/Part2/34_Krasnovsky.pdf
http://web.lemoyne.edu/~giunta/tswett.html
http://analysciences.com
10. When a chlorophyll solution in petrol ether is filtered through the column
of an adsorbent …then the pigments will be separated from the top down
in individual colored zones…the pigments which are adsorbed stronger will
displace those which are retained more weakly.
http://analysciences.com 10
11. "Like light rays in the spectrum, the different components of a
pigment mixture, obeying a law, are separated on the calcium
carbonate column and can thus be qualitatively and quantitatively
determined.
I call such a preparation a chromatogram and the corresponding
method the chromatographic method."
http://analysciences.com 11
12. Gas chromatography – the pioneers.
Erika Cremer, Univ of
Innsbruck, Austria,
1944, developed the
theory and use of gas
chromatography.
She was assisted by
her PhD student, Fritz
Prior.
http://analysciences.com 12
13. Chromatography is …
“…a method in which the components of a
mixture are separated on an adsorbent
column in a flowing system". M.Tswett
http://analysciences.com 13
A separation involving a mobile
phase, a stationary phase, and the
sample. The sample undergoes a
series of interactions between these
two phases, resulting in separation of
its components. Sample components
elute in increasing order of
interaction.
14. What interaction?
Adsorption
…analyte in mobile phase
adsorbed onto stationary phase.
Equilibration between the mobile
and stationary phase results in
separation.
http://analysciences.com 14
15. Partition
…thin film of a liquid
stationary phase formed on a
solid support.
Solute molecules partition
between the mobile phase and
stationary phase.
http://analysciences.com 15
16. Ion-exchange
Ion-ex resin is used to
covalently attach anions or
cations onto it. Solute ions of
the opposite charge are
attracted to the resin.
Example: Purification of hard
water.
http://analysciences.com 16
17. Affinity
specific interaction between a
solute molecule and a
molecule that is immobilized
on a stationary phase. eg.
purification of
immunoglobulins.
http://analysciences.com 17
18. Size Exclusion
a porous gel separates
molecules by size.
Example: Purification of
enzymes or proteins.
http://analysciences.com 18
20. Mobile phase
Stationary phase
Eluate collection
Sample introduction
Detection
Chromatography
– the system
20
Stationary phase is
packed into a column,
or …
In the form of a thin
layer coated on a glass
or aluminium plate or
… In the form of a
thick sheet of paper.
23. Retention Volume / Time
Volume of mobile phase required to elute a particular
analyte from the stationary phase.
Time taken by an analyte to elute from the stationary
phase.
VR = tR x Fc
tR = Retention time
Fc = Flow rate
http://analysciences.com 23
24. Retention Time
Dead Time/volume
Retention time / retention volume taken by an
unretained solute to elute from the system.
Represents the combined volume of tubings,
detector flow cell, injector loop, column volume.
Relative (corrected) retention time
0R Rt t t
http://analysciences.com 24
25. Partition Co-efficient
(Distribution / Adsorption co-efficient)
M
sC
K
C
http://analysciences.com 25
CS = concentration of the analyte in the
stationary phase.
CM = concentration in the mobile phase
Analytes in a sample mixture will separate
in a chromatographic system only if their K
values are significantly different.
26. Partition Ratio (Capacity Factor)
Measure of the time spent by a
solute in the mobile phase, with
respect to the stationary phase.
For baseline separation, K’ > 2
http://analysciences.com 26
27. Relative retention (Selectivity / separation factor)
For baseline separation, a > 1.5
2
1
k
k
a
http://analysciences.com 27
35. Plate theory Martin and Synge (1941)
Nobel in Chemistry, 1952 for “their
invention of partition chromatography”.
Chromatography column assumed to be
similar to a distillation column.
Separation occurs across a series of
theoretical plates.
Higher number of theoretical plates
improves column performance.
http://analysciences.com 35
36. Plate theory explained
A distillation column is used for fractional distillation of liquid
mixtures. Higher surface area inside the column improves
distillation efficiency. This is done by putting in a series of
glass plates, with each plate containing glass beads or similar
packing material.
A chromatographic column is similar to a distillation column.
The packing inside the column is considered similar to the
packing inside a distillation column. There are no real plates
inside, hence „theoretical plates‟.
Hence, height equivalent to a theoretical plate (HETP). Higher
number of plates, higher separation efficiency.
http://analysciences.com 36
37. Rate theory Dr JJ van Deemter (1956)
Plate theory does not explain band spreading and peak
broadening. Does not take into account packing material
properties, mobile phase flow rate and column geometry.
Rate theory takes into account various factors that cause
chromatographic peak broadening and reduction of
separation efficiency.
37
38. van Deemter Equation
linear velocity ( flow rate)
C
H A B
38
van Deemter took into account several
factors that can affect HETP and column
performance. He formulated a mathematical
equation that defined the relationship
between various chromatographic factors and
HETP.
This equation made it possible to numerically
calculate column performance, design better
chromatography stationary phases and
improve separation efficiency.
39. A term – Multipath effect or Eddy diffusion
Analyte molecules take different paths
through the packing, leading to band
broadening
To reduce eddy diffusion, reduce
stationary phase particle size.
However, backpressure will increase.
In GC, backpressure is not a major
issue.
http://analysciences.com 39
40. B term
Longitudinal diffusion / wall effect
Distortion of the mobile phase front, due
to varying velocity across the column,
especially at the column wall
To reduce wall effect, increase flow rate
http://analysciences.com 40
41. C term – mass transfer resistance
Analytes remain trapped in stagnant pockets
in the packing. To improve mass transfer,
decrease mobile phase flow rate.
http://analysciences.com 41
42. Van Deemter plot
http://analysciences.com 42
What does it mean?
In practical terms, it means that for a given
stationary phase and for a given
chromatography column or plate, there is
one optimal mobile phase flow rate.
Increasing or decreasing flow rate might
have an adverse effect on performance.
For example: For an HPLC column with
4.6mm internal diameter and 150mm length,
packed with 5u, spherical particles, the
optimal flow rate is 1ml/min.
43. HETP Height Equivalent to a theoretical plate
2
2
4
16
2
5.54
R
R
L
H
t
L
H
t
s
s
http://analysciences.com 43
45. Plate count – what it means.
The plate count gives you an idea of the efficiency and separating power of a column.
Higher plate count for a given column implies better performance
(but does not guarantee it !)
Plate count is affected by:
Nature of sample
Flow rate
Detector flow cell volume
Dead volume
Temperature
Detector settings / Data system settings.
Injector reproducibility, etc…
Be wary when comparing plate counts!!
http://analysciences.com 45
47. Quantitation in Chromatography
Area (height) under the peak is
proportional to the injected
amount.
Proportionality constant is the
response factor.
http://analysciences.com 47
48. How is peak area determined?
Integration
Data system sub-divides
peak into small rectangles,
calculates area of each,
and adds them up.
http://analysciences.com 48
49. Quantitation – External
standards
Inject known concentrations of the
analyte using reference standards.
Analyse the test sample under the
same conditions.
Plot a calibration curve of analyte
concentration v/s peak area (or
height).
http://analysciences.com 49
50. Internal Standards
Chemically similar to the analyte.
Added to the sample and external standards.
Same amount added to both.
Accounts for variations in injection volume
and other system variables.
Provides better precision.
http://analysciences.com 50
52. Gas Chromatography
Mobile phase is a gas
Used for volatile, heat stable samples only. eg.
Petroleum products, volatile oils, perfumeries.
… Or analytes that can be converted to
volatile derivatives, eg. amino acid silyl
derivatives, fatty acid methyl esters.
52http://analysciences.com
53. Why GC?
Minimal sample prep.
Fast analysis time. High separation
efficiency.
Easier to automate. Easier to upgrade
to hyphenated methods like GC-MS.
Lower capital costs and running costs.
Given a choice between HPLC and GC,
choose GC!
http://analysciences.com 53
Restricted to analytes that are volatile
and thermo-stable … or to analytes that
can be derivatised.
56. GC – Mobile phases
Helium is commonly used as a carrier gas. Nitrogen is
also used.
Hydrogen is becoming a popular alternative to helium.
Gases are stored in high-pressure cylinders.
Gas flow is controlled by regulators.
Sometimes nitrogen and helium generators are used
instead of cylinders.
http://analysciences.com 56
57. Hydrogen as carrier gas.
H2 has low viscosity and high diffusivity.
Hence, faster analysis times.
Much cheaper than helium. Lower cost-
per-analysis.
Helium is extracted from natural gas.
Process is very expensive. Not eco-friendly.
Acute shortage of Helium.
H2 can be cheaply produced using H2
generators.
http://analysciences.com 57
58. Gas manifolds
Gas manifolds are used to purify and
dehumidify the gases before they enter
the GC.
Dust filters, moisture traps, silica gel
pellets and molecular sieves are used.
58
http://analysciences.com
60. Injector ports
Samples are injected through sealed,
heated injection ports.
Injection volumes are very small, usually
less than 5 μl.
Injectors should accurately deliver the
vaporised sample on to the head of the
GC column.
60http://analysciences.com
61. Packed column injector
http://analysciences.com 61
Injector septum provides a leak-tight
seal.
Injector liner protects the inlet seal
from dirt and contaminants.
Inlet seal protects the GC column.
Injector body is heated by a
programmable heater system.
62. Used with capillary columns.
Injects small sample volumes.
(<1μl)
Splits the injection volume into
smaller volumes, by adjusting the
split ratio.
http://analysciences.com 62
63. PTV injector
Programmable temperature vaporising
injector.
Used for large sample volumes and
thermo-labile compounds
Instantly vaporises sample, upto 3000C
Highly reproducible and accurate.
http://analysciences.com 63
64. Injector septa
Septa ensure a leak-tight seal
at the injection port.
Available in various materials
– teflon, rubber and silicone.
http://analysciences.com 64
65. Sampling Valves
Used for continuous, reproducible injection
of gaseous samples.
Can be configured in several ways:
•Multiple column switching
•Detector switching
•Automated air sampling
http://analysciences.com 65
66. Injector liners
Glass liners are used inside the
injector body.
Protect the injector from sample
debris.
http://analysciences.com 66
67. GC – sample injection syringes
Septum piercing needle.
Available in various volumes,
from 1ul to 100ul.
Can be automated.
http://analysciences.com 67
71. Packed columns
71http://analysciences.com
Made of SS, glass or copper tubing, filled
with porous packing material, which may
be coated with a viscous liquid phase.
Packed columns contain a finely divided,
inert, solid support material (usually
based on diatomaceous earth ) coated
with liquid stationary phase. Most packed
columns are 1.5 - 10m in length and
have an internal diameter of 2 - 4mm.
72. Packed columns – phases.
The packing usually consists of an inert
porous material such as Celite (a
diatomaceous earth), or calcined Celite (in
the form of powdered fire brick) or a
synthetically polymeric resin.
Glass beads and molecular sieves are also
used.
http://analysciences.com 72
73. Packed columns - Kieselguhr
Packings are treated with
dimethylchlorosilane to
remove active silanols.
Washed with HCl to
remove trace metals.
http://analysciences.com 73
Diatomaceous earth or kieselguhr is
soft, sedimentary rock that contains
fossilised remains of diatoms (hard-
shelled algae). It consists of 80-90%
silica, and small amounts of alumina
and iron oxide. It crumbles easily
into a fine, white powder.
Celite is a brand name, owned by
World Minerals Inc, a division of
Imerys Filtration.
Chromosorb W = Untreated celite
Chromosorb P = Calcined celite
Chromosorb S = Celite calcined with sodium
carbonate.
74. Packed columns – Molecular sieves
Molecular sieves are synthetic
zeolites (complex alumino-silicates
of sodium, potassium or calcium)
of various pore sizes, usually 4 Å
or so.
Used for separation of fixed gases
like CO, CO2, CH4, Ar, H2, O2.
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75. Packed columns – Polymeric packings
Macroporous, spherical,
ultrapure resins.
Used for difficult separations in
gas chromatography.
Eg. Separation of H2S and H2O.
Separation of gas mixtures.
HayeSep is a popular brand.
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76. Capillary columns Made from fused silica.
Have an internal diameter of a few
tenths of a millimeter, usually
0.32mm and 0.53 mm.
Length between 3m to 30m.
Capillary columns are more efficient
than packed columns.
Much higher plate counts >30,000
plates per meter.
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77. Capillary columns - 2
Liquid stationary phase is
coated or chemically bonded to
the inner wall of the capillary.
Most common phases:
Polysiloxanes
Polyethylene glycols.
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79. Separation mechanisms in GC
Partition: Analyte partitions
between the carrier gas and a
viscous stationary phase.
Adsorption: Analyte
adsorbs/desorbs between the
carrier gas and a solid stationary
phase.
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81. Thermal Conductivity Detector
Detector cell contains a heated filament with an
applied current. As carrier gas containing solutes
passes through the cell, a change in the filament
current occurs. The current change is compared
against the current in a reference cell. The difference
is measured and a signal is generated. (Wheatstone
bridge principle).
Selectivity: All compounds except for the carrier gas
Sensitivity: 5-20 ng Linear range: 105-106
Temperature: 150-250°C
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82. Flame Ionisation Detector
Analytes are burned in a hydrogen-air flame. Carbon
containing compounds produce ions that are attracted
to the collector. The number of ions hitting the
collector is measured and a signal is generated.
Selectivity: Compounds with C-H bonds.
Sensitivity: 0.1-10 ng. Linear range: 105-107
Gases: Combustion - hydrogen and air; Makeup -
helium or nitrogen. Temperature: 250-450°C.
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83. Electron Capture
Detector
Electrons are supplied from a 63Ni foil
lining the detector cell. A current is
generated in the cell. Electronegative
compounds capture electrons, causing a
reduction in current. The amount of
current loss is indirectly measured and a
signal is generated.
Selectivity: Halogens, nitrates and
conjugated carbonyls.
Sensitivity: 0.1-10 pg
Temperature: 300-400°C
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84. Pulsed discharge ionisation detector (PDID)
Pulsed DC discharge creates a plasma
by ionising helium gas inside the
detector body.
Charged helium plasma in turn
ionises analytes eluting from the GC
column.
This results in a current that is
proportional to the amount of the
analyte.
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85. PDID - Advantages
Universal, non-destructive detector.
Very sensitive, can detect analytes in the
femtogram level (10-15).
Good alternative to electron-capture
detector for pesticides and halogenated
compounds, since it is non-radioactive.
More sensitive than FID, and can be
used in settings where a flame is not
safe (like petroleum and gas analyses.)
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86. Flame Photometric Detector.
Uses a photomultiplier tube to
detect spectral lines of analytes,
as they are burned in a flame.
(like in a flame photometer).
Especially useful for sulfur and
phosphorus compounds.
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87. Photoionisation detector
UV lamp ionises analytes from the GC
column eluent.
Useful for volatile organic compounds
like polyaromatic hydrocarbons and
inorganic species that are ionised in
UV light.
Used for environmental pollutants.
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88. Inside the GC
88http://analysciences.com
GC columns are mounted in
an oven.
Oven temperature can be
programmed.
Better separations are
achieved with temperature
programming.
89. Temperature programming – why.
In GC, analytes are separated according to boiling point and polarity.
Molecules with low boiling point will elute early from the GC column. Compounds
with high boiling point will elute later.
Analytes interact with the GC column. If the column is non-polar, analytes with
high polarity will travel faster through the column while more non-polar
compounds will be retained.
90. Isothermal GC
Isothermal GC is not a good choice for samples
containing analytes with varying boiling points.
For example, petroleum products, silylated amino
acids, methylated fatty acids.
In an isothermal GC analysis, the column
temperature is constant. Fast eluting compounds
may then appear as overlapping peaks and late
eluting compounds will have long retention time
and broad peak shape.
http://ull.chemistry.uakron.edu/chemsep/slide.php?Chapt
er=/chemsep/GC/&Last=100&Slide=56
91. Temperature programming
By varying column temperature over
time, analytes with different boiling
points can be separated.
Analysis time can be optimised.
http://ull.chemistry.uakron.edu/chemsep/slide.php?Chapt
er=/chemsep/GC/&Last=100&Slide=56