System suitability tests (SST) ensure that chromatography systems are operating as expected prior to sample analysis. Key parameters evaluated include column efficiency, resolution, asymmetry, retention time, capacity factor, and precision. SST solutions contain analytes of interest and closely eluting components at known levels. Acceptance criteria are established during validation. If an SST fails, the analysis is stopped and the system diagnosed before re-running the SST. SSTs help reduce unnecessary retesting of samples by identifying potential issues early.
The drug or drug combination may not be official in any pharmacopoeias.
A proper analytical procedure for the drug may not be available in the literature due to patent regulations.
Analytical methods may not be available for the drug in the form of a formulation due to the interference caused by the formulation excipients.
Analytical methods for the quantitation of the drug in biological fluids may not be available.
Analytical methods for a drug in combination with other drugs may not be available.
The existing analytical procedures may require expensive reagents and solvents. It may also involve cumbersome extraction and separation procedures and these may not be reliable.
University Institute of Pharmaceutical Sciences is a flag bearer of excellence in Pharmaceutical education and research in the country. Here is another initiative to make study material available to everyone worldwide. Based on the new PCI guidelines and syllabus here we have a presentation dealing with basics impurity profiling and degradent characterization.
Thank you for reading.
Hope it was of help to you.
UIPS,PU team
Analytical method validation as per ich and usp shreyas B R
Analytical method validation is a process of documenting/ proving that an analytical method provides analytical data acceptable for the intended use.After the development of an analytical procedure, it is must important to assure that the procedure will consistently produce the intended a precise result with high degree of accuracy. The method should give a specific result that may not be affected by external matters. This creates a requirement to validate the analytical procedures. The validation procedures consists of some characteristics parameters that makes the method acceptable with addition of statistical tools.
The drug or drug combination may not be official in any pharmacopoeias.
A proper analytical procedure for the drug may not be available in the literature due to patent regulations.
Analytical methods may not be available for the drug in the form of a formulation due to the interference caused by the formulation excipients.
Analytical methods for the quantitation of the drug in biological fluids may not be available.
Analytical methods for a drug in combination with other drugs may not be available.
The existing analytical procedures may require expensive reagents and solvents. It may also involve cumbersome extraction and separation procedures and these may not be reliable.
University Institute of Pharmaceutical Sciences is a flag bearer of excellence in Pharmaceutical education and research in the country. Here is another initiative to make study material available to everyone worldwide. Based on the new PCI guidelines and syllabus here we have a presentation dealing with basics impurity profiling and degradent characterization.
Thank you for reading.
Hope it was of help to you.
UIPS,PU team
Analytical method validation as per ich and usp shreyas B R
Analytical method validation is a process of documenting/ proving that an analytical method provides analytical data acceptable for the intended use.After the development of an analytical procedure, it is must important to assure that the procedure will consistently produce the intended a precise result with high degree of accuracy. The method should give a specific result that may not be affected by external matters. This creates a requirement to validate the analytical procedures. The validation procedures consists of some characteristics parameters that makes the method acceptable with addition of statistical tools.
The analyst is required to analyze a number of QC samples throughout the run where there are decisions to be made based on a window of acceptance for each QC sample analyzed.
general description for the high performance liquid chromatography,the types,the equipment, principles, and HPLC uses for quantitative and qualitative analysis.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
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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.
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The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
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.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
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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.
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
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
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👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
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https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Designing Great Products: The Power of Design and Leadership by Chief Designe...
System suitability testing
1. System suitability test for HPLC
Dr. Vrushali Tambe
PES Modern College of Pharmacy (for ladies),
Moshi
2. • System suitability tests are based on the concept that the
equipment, electronics, analytical operations, and samples to be
analyzed constitute an integral system that can be evaluated as
such.
• System suitability test parameters to be established for a particular
procedure depend on the type of procedure being evaluated.
• Ensures that both methodology and instrumentation are
performing within expectations prior to the analysis of the test
samples
• Used to verify column efficiency and repeatability of
chromatographic system and electronics
• The performance of any chromatographic system may continuously
change during their regular use, which can affect the reliability of
the analytical results.
Its criteria should be established during the method validation
The produced data by the system should be reliable.
3. • Recommended by ICH and USP
• Used during assay, impurity determination, dissolution testing
and bioassay
• Performed before and throughout the regulated assays (eg. 5
SSS injections before and one SSS injection every 10 assays)
whenever instrument malfunctions.
• Assessed with any significant change in equipment or in a critical
reagent
• It represents minimum acceptance performance
The operation parameters of the whole chromatographic system
can be checked with properly selected SST mixtures. These
mixtures are used to establish characteristic chromatographic
parameters
4. Constitution of System suitability solution
At least the major analyte of interest and, ideally, a
closely eluted component or components that could be
found in actual samples at known levels
Analyte should be sensitive to operating conditions and
should indicate slight deterioration of the system
Standard solution can be used
Single component calibration standard is not adequate
for SST as system separation capability is not tested
SST solution should consist of main component to be
tested and related impurities critical to separate from API
5. Typically, the SST involves performance parameters, such as
• Number of Theoretical plates/ Column efficiency
• Resolution
• Asymmetry/ Tailing factor
• Retention time/ Relative retention time/ Retention Volume
• Detection limit
• Selectivity
• Capacity factor
Most of the performance parameters are calculated
automatically by data evaluation software of sophisticated
chromatography equipment
The system is then only declared suitable if the responses are
within given limits.
6. Resolution (Rs)
Measure for the ratio of the distance of two adjacent peak maxima and their
widths. For complex sample mixtures Rs should be determined for the critical
pairs of component to characterize their separation.
𝑅𝑠 =
2 (𝑡𝑅2 − 𝑡𝑅1)
𝑊𝑏1 + 𝑊𝑏2
• where, tR2 and tR1 are the retention times of closely eluted compounds,
and
• Wb1 and Wb2 are their peak widths at the base.
7. Resolution-
• Function of column efficiency
• Measure of resolving power of system
• NLT 2
• Most closely eluting species
8. Column efficiency
Theoretical plates
• The plate theory concept assumes that the chromatographic
column comprises a large number of imaginary separation layers
called theoretical plates. Equilibrium of the sample takes place
between the stationary and the mobile phase in these imaginary
plates. The analyte moves down the column by transfer of
equilibriated mobile phase from one plate to the next.
• Column efficiency is expressed in terms of theoretical
plates(N).High resolution means greater number of plates in a given
length of column
• N=16 (tR/w)2 Where W is the peak at base
• Theoretical plates should not fall below 2000
9.
10. Precision
• Replicate injections of a standard preparation
are used to ascertain if requirements of
precision are met
• Data from five replicate injections are used
Relative standard deviation should be less
than 1%.
11. Asymmetry or Tailing factor (As)
An ideal chromatographic peak should be of symmetrical
Gaussian shape but due to various factors the shape often
deviates. Peak tailing is the commonly observed peak
deformation. It is mainly due to occurrence of more than one
mechanism of analyte retention. Tailing can be reduced by
changing mobile phase pH or end-capping of stationary phase.
where A and B are peak widths at 10% of the
height for leading and tailing ends of the peak
Ideal peak has As =1 but values in the range
0.9 – 1.1 are acceptable
Tailing becomes apparent when asymmetry
factor As equals to or exceeds 1.2
T should be less than or equal to 2 to satisfy
the system suitability requirement.
13. Retention factor (k’)/ Capacity factor
• Retention factor (k’) or partition ratio or capacity factor is the
relation of time spent by a compound in stationary phase to the
time it spends in the mobile phase.
• k’ is a unitless quantity
• k′=tr–tm/tm
• tr: retention time of analyte
• tm: retention time of unretained species
• Higher the value of k’ greater is the retention of a compound on a
column
• Ideally k’ should be greater than 2.0
• It tells about how much interaction analyte have along with
stationary phase
14. Retention time: The resolution should be fairly constant.
Retention volume:
It is volume of mobile phase required for elution of compound
Vr= tR * F
Relative retention time (RRT)
is the ratio of the retention time of analyte peak relative to that
of another used as a reference obtained under identical
conditions.
Pressure: The suitability testing must be carried out within set
pressure limits. This is to ensure that wearing of system
components is reduced.
Signal-to-Noise Ratio: S/N ratio is a measure of the system's
performance at the lower end.
15.
16. For dissolution or release profile test methods
using an external standard method, k', T and %
RSD are minimum recommended system
suitability tests.
For acceptance, release, stability, or impurities
degradation methods using external or internal
standards k’, T, Rs, and %RSD are recommended
as minimum system suitability testing
parameters
17. When SST fails, if possible the assay sequence
should be stopped immediately
Analyst diagnose the system problem, make
necessary adjustments and repairs
Perform SST again
If SST passes further analysis can be done
18. Reasons for SST failure
• Poor precision of autosampler
• Aged column
• Pump problem
• Mobile phase preparation error
• Air bubbles
• SST is early warning to reduce sample retesting