In this slide contains Factors Affecting Resolution In HPLC and its criteria's.
Presented by: M.Sudheeshna. (Department of pharmaceutical analysis).
RIPER,anantpur.
Quadrupole and Time of Flight Mass analysers.Gagangowda58
Description about important mass analysers Quadrupole and TOF: Principle, Construction and Working, Advantages and Disadvantages and their Applications.
PRINCIPLES of FT-NMR & 13C NMR
Fourier Transform
FOURIER TRANSFORM NMR SPECTROSCOPY
THEORY OF FT-NMR
13C NMR SPECTROSCOPY
Principle
Why C13-NMR is required though we have H1-NMR?
CHARACTERISTIC FEATURES OF 13 C NMR
Chemical Shifts
NUCLEAR OVERHAUSER ENHANCEMENT
Short-Comings of 13C-NMR Spectra
In this slide contains Interference In Atomic Absorption Spectroscopy and applications.
Presented by: Shaik Gouse ul azam. ( department of pharmaceutical analysis.)
RIPER, anantpur.
In this slide contains principle, instrumentation, methodology, and application of gel chromatography.
Presented by: SATHEES CHANDRA (Department of pharmaceutical analysis).
RIPER, anantapur
Quadrupole and Time of Flight Mass analysers.Gagangowda58
Description about important mass analysers Quadrupole and TOF: Principle, Construction and Working, Advantages and Disadvantages and their Applications.
PRINCIPLES of FT-NMR & 13C NMR
Fourier Transform
FOURIER TRANSFORM NMR SPECTROSCOPY
THEORY OF FT-NMR
13C NMR SPECTROSCOPY
Principle
Why C13-NMR is required though we have H1-NMR?
CHARACTERISTIC FEATURES OF 13 C NMR
Chemical Shifts
NUCLEAR OVERHAUSER ENHANCEMENT
Short-Comings of 13C-NMR Spectra
In this slide contains Interference In Atomic Absorption Spectroscopy and applications.
Presented by: Shaik Gouse ul azam. ( department of pharmaceutical analysis.)
RIPER, anantpur.
In this slide contains principle, instrumentation, methodology, and application of gel chromatography.
Presented by: SATHEES CHANDRA (Department of pharmaceutical analysis).
RIPER, anantapur
In this slide contains types of HPLC Columns, Plate theory and Van Deemter Equation.
Presented by : Malarvannan.M (Department of pharmaceutical analysis).
RIPER,anantpur.
Ion pair chromatography for pharmacy studentsabhishek rai
Ion-PairChromatography
A GENERALISED OVERVIEW
Chromatography
HPLC
Reverse Phase Chromatography
Ion Pair Chromatography
Ion Pair Reagent
Mechanism of Ion Pair Chromatography
Ion Pair Wash Procedure
Detectors are the brain of any chromatograhic system. It help us to record the chromatogram based on certain characteristics of the analyte and help us in identifying that compound both qualitatively and quantitatively.
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.
Introduction
working principle
fragmentation process
general rules for fragmentation
general modes of fragmentation
metastable ions
isotopic peaks
applications
In this slide contains principle of IR spectroscopy and sampling techniques.
Presented by: R.Banuteja (Department of pharmaceutical analysis).
RIPER, anantpur.
Hyphenated technique is a combination or coupling of two analytical techniques with the help of proper interface.
In this presentation Hyphenated techniques-LC-MS/MS, GC-MS/MS, HPTLC-MS has been discussed
In this slide contains introduction, steps, requirements, principle and quantification methods of HPLC.
Presented by: HIMA BINDHU (Department of pharmaceutical analysis).
RIPER, anantapur
In this slide contains types of HPLC Columns, Plate theory and Van Deemter Equation.
Presented by : Malarvannan.M (Department of pharmaceutical analysis).
RIPER,anantpur.
Ion pair chromatography for pharmacy studentsabhishek rai
Ion-PairChromatography
A GENERALISED OVERVIEW
Chromatography
HPLC
Reverse Phase Chromatography
Ion Pair Chromatography
Ion Pair Reagent
Mechanism of Ion Pair Chromatography
Ion Pair Wash Procedure
Detectors are the brain of any chromatograhic system. It help us to record the chromatogram based on certain characteristics of the analyte and help us in identifying that compound both qualitatively and quantitatively.
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.
Introduction
working principle
fragmentation process
general rules for fragmentation
general modes of fragmentation
metastable ions
isotopic peaks
applications
In this slide contains principle of IR spectroscopy and sampling techniques.
Presented by: R.Banuteja (Department of pharmaceutical analysis).
RIPER, anantpur.
Hyphenated technique is a combination or coupling of two analytical techniques with the help of proper interface.
In this presentation Hyphenated techniques-LC-MS/MS, GC-MS/MS, HPTLC-MS has been discussed
In this slide contains introduction, steps, requirements, principle and quantification methods of HPLC.
Presented by: HIMA BINDHU (Department of pharmaceutical analysis).
RIPER, anantapur
In this slide contains principle, advantage, dis advantage and application of UPLC.
Presented by: P. Sudheer Kumar. (Department of pharmaceutical analysis)
RIPER, anantapur.
Introduction to Concepts of Similarity and Difference factors,
Importance of dissolution profile comparison,
Objective of dissolution profile comparison,
Method to compare dissolution profile , f1 & f2 Comparison
Presented By
N. Poojitha
Department of Pharmaceutics
Introduction to Analytical Techniques in Phaese III,
Spectrophotometry, Reflectance photometry, Nephelometry & Turbidimetry, Osmometry, Potentiometry, Flowcytometry, Densitometry, Electrophoresis, LC-MS, ICP-MS
Presented by
B. Kranthi Kumar
Department of Pharmacology
In this slide contains analytical techniques in phase-3 clinical trials.
Presented by: KRANTHI KUMAR BONALA (Department of pharmacology).
RIPER, anantapur
In this slide contains definition and details of Qualification Of HPLC
Presented by: KHALID KUWAITY (Department of pharmaceutical analysis).RIPER, anantapur
In this slide contains Quality-by-Design in Pharmaceutical Development.
Presented by: T. MOUSAMI BHAVASAR (Department of pharmaceutics). RIPER, anantapur
JOURNAL CLUB PRESENTATION (20L81S0402-PA & QA)
Presented by: K VENKATSAI PRASAD (Department of pharmaceutical analysis and quality assurance).RIPER, anantapur
In this slide contains Investigation, reason, case study of OOS.
Presented by: K Venkatsai Preasad. (Department of pharmaceutical analysis and quality assurance).
RIPER, anantapur.
In this slide contains introduction, qualification, preventive maintenance, requalification method.
Presented by: Malarvannan M (Department of pharmaceutical analysis).RIPER, anantapur
In this slide contains definition, validation method of HVAC
Presented by: V NABI RASOOL (Department of pharmaceutical analysis and quality assurance).RIPER, anantapur.
In this slide contains QbD approach in Pharmaceutical development.
Presented by: V NABI RASOOL (Department of pharmaceutical analysis and quality assurance).RIPER, anantapur
Similar to Factors Affecting Resolution In HPLC. (20)
In this slide contains Study of Quality of Raw Materials and General methods of analysis of Raw materials used in cosmetic manufacture as per BSI
Presented by: P.PAVAN KALYAN (Department of pharmaceutical analysis).RIPER, anantapur
In this slide contains Determination of Acid value, Saponification value and Ester value.
Presented by: P.NARESH (Department of pharmaceutical analysis).RIPER, anantapur
More from Raghavendra institute of pharmaceutical education and research . (20)
Slide 1: Title Slide
Extrachromosomal Inheritance
Slide 2: Introduction to Extrachromosomal Inheritance
Definition: Extrachromosomal inheritance refers to the transmission of genetic material that is not found within the nucleus.
Key Components: Involves genes located in mitochondria, chloroplasts, and plasmids.
Slide 3: Mitochondrial Inheritance
Mitochondria: Organelles responsible for energy production.
Mitochondrial DNA (mtDNA): Circular DNA molecule found in mitochondria.
Inheritance Pattern: Maternally inherited, meaning it is passed from mothers to all their offspring.
Diseases: Examples include Leber’s hereditary optic neuropathy (LHON) and mitochondrial myopathy.
Slide 4: Chloroplast Inheritance
Chloroplasts: Organelles responsible for photosynthesis in plants.
Chloroplast DNA (cpDNA): Circular DNA molecule found in chloroplasts.
Inheritance Pattern: Often maternally inherited in most plants, but can vary in some species.
Examples: Variegation in plants, where leaf color patterns are determined by chloroplast DNA.
Slide 5: Plasmid Inheritance
Plasmids: Small, circular DNA molecules found in bacteria and some eukaryotes.
Features: Can carry antibiotic resistance genes and can be transferred between cells through processes like conjugation.
Significance: Important in biotechnology for gene cloning and genetic engineering.
Slide 6: Mechanisms of Extrachromosomal Inheritance
Non-Mendelian Patterns: Do not follow Mendel’s laws of inheritance.
Cytoplasmic Segregation: During cell division, organelles like mitochondria and chloroplasts are randomly distributed to daughter cells.
Heteroplasmy: Presence of more than one type of organellar genome within a cell, leading to variation in expression.
Slide 7: Examples of Extrachromosomal Inheritance
Four O’clock Plant (Mirabilis jalapa): Shows variegated leaves due to different cpDNA in leaf cells.
Petite Mutants in Yeast: Result from mutations in mitochondrial DNA affecting respiration.
Slide 8: Importance of Extrachromosomal Inheritance
Evolution: Provides insight into the evolution of eukaryotic cells.
Medicine: Understanding mitochondrial inheritance helps in diagnosing and treating mitochondrial diseases.
Agriculture: Chloroplast inheritance can be used in plant breeding and genetic modification.
Slide 9: Recent Research and Advances
Gene Editing: Techniques like CRISPR-Cas9 are being used to edit mitochondrial and chloroplast DNA.
Therapies: Development of mitochondrial replacement therapy (MRT) for preventing mitochondrial diseases.
Slide 10: Conclusion
Summary: Extrachromosomal inheritance involves the transmission of genetic material outside the nucleus and plays a crucial role in genetics, medicine, and biotechnology.
Future Directions: Continued research and technological advancements hold promise for new treatments and applications.
Slide 11: Questions and Discussion
Invite Audience: Open the floor for any questions or further discussion on the topic.
Earliest Galaxies in the JADES Origins Field: Luminosity Function and Cosmic ...Sérgio Sacani
We characterize the earliest galaxy population in the JADES Origins Field (JOF), the deepest
imaging field observed with JWST. We make use of the ancillary Hubble optical images (5 filters
spanning 0.4−0.9µm) and novel JWST images with 14 filters spanning 0.8−5µm, including 7 mediumband filters, and reaching total exposure times of up to 46 hours per filter. We combine all our data
at > 2.3µm to construct an ultradeep image, reaching as deep as ≈ 31.4 AB mag in the stack and
30.3-31.0 AB mag (5σ, r = 0.1” circular aperture) in individual filters. We measure photometric
redshifts and use robust selection criteria to identify a sample of eight galaxy candidates at redshifts
z = 11.5 − 15. These objects show compact half-light radii of R1/2 ∼ 50 − 200pc, stellar masses of
M⋆ ∼ 107−108M⊙, and star-formation rates of SFR ∼ 0.1−1 M⊙ yr−1
. Our search finds no candidates
at 15 < z < 20, placing upper limits at these redshifts. We develop a forward modeling approach to
infer the properties of the evolving luminosity function without binning in redshift or luminosity that
marginalizes over the photometric redshift uncertainty of our candidate galaxies and incorporates the
impact of non-detections. We find a z = 12 luminosity function in good agreement with prior results,
and that the luminosity function normalization and UV luminosity density decline by a factor of ∼ 2.5
from z = 12 to z = 14. We discuss the possible implications of our results in the context of theoretical
models for evolution of the dark matter halo mass function.
Comparing Evolved Extractive Text Summary Scores of Bidirectional Encoder Rep...University of Maribor
Slides from:
11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Track: Artificial Intelligence
https://www.etran.rs/2024/en/home-english/
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.
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.
Multi-source connectivity as the driver of solar wind variability in the heli...Sérgio Sacani
The ambient solar wind that flls the heliosphere originates from multiple
sources in the solar corona and is highly structured. It is often described
as high-speed, relatively homogeneous, plasma streams from coronal
holes and slow-speed, highly variable, streams whose source regions are
under debate. A key goal of ESA/NASA’s Solar Orbiter mission is to identify
solar wind sources and understand what drives the complexity seen in the
heliosphere. By combining magnetic feld modelling and spectroscopic
techniques with high-resolution observations and measurements, we show
that the solar wind variability detected in situ by Solar Orbiter in March
2022 is driven by spatio-temporal changes in the magnetic connectivity to
multiple sources in the solar atmosphere. The magnetic feld footpoints
connected to the spacecraft moved from the boundaries of a coronal hole
to one active region (12961) and then across to another region (12957). This
is refected in the in situ measurements, which show the transition from fast
to highly Alfvénic then to slow solar wind that is disrupted by the arrival of
a coronal mass ejection. Our results describe solar wind variability at 0.5 au
but are applicable to near-Earth observatories.
Deep Behavioral Phenotyping in Systems Neuroscience for Functional Atlasing a...Ana Luísa Pinho
Functional Magnetic Resonance Imaging (fMRI) provides means to characterize brain activations in response to behavior. However, cognitive neuroscience has been limited to group-level effects referring to the performance of specific tasks. To obtain the functional profile of elementary cognitive mechanisms, the combination of brain responses to many tasks is required. Yet, to date, both structural atlases and parcellation-based activations do not fully account for cognitive function and still present several limitations. Further, they do not adapt overall to individual characteristics. In this talk, I will give an account of deep-behavioral phenotyping strategies, namely data-driven methods in large task-fMRI datasets, to optimize functional brain-data collection and improve inference of effects-of-interest related to mental processes. Key to this approach is the employment of fast multi-functional paradigms rich on features that can be well parametrized and, consequently, facilitate the creation of psycho-physiological constructs to be modelled with imaging data. Particular emphasis will be given to music stimuli when studying high-order cognitive mechanisms, due to their ecological nature and quality to enable complex behavior compounded by discrete entities. I will also discuss how deep-behavioral phenotyping and individualized models applied to neuroimaging data can better account for the subject-specific organization of domain-general cognitive systems in the human brain. Finally, the accumulation of functional brain signatures brings the possibility to clarify relationships among tasks and create a univocal link between brain systems and mental functions through: (1) the development of ontologies proposing an organization of cognitive processes; and (2) brain-network taxonomies describing functional specialization. To this end, tools to improve commensurability in cognitive science are necessary, such as public repositories, ontology-based platforms and automated meta-analysis tools. I will thus discuss some brain-atlasing resources currently under development, and their applicability in cognitive as well as clinical neuroscience.
1. RIPER
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K.R.Palli Cross, Chiyyedu, Anantapuramu, A. P- 515721 1
A Seminar as a part of curricular requirement
for I year M.Pharm I Semester
Presented by
M.SUDHEESHNA (Reg.no:20L81S0713)
Pharmaceutical analysis
Under the guidance of
Dr. P.Ramalingam M.Pharm, Ph.D.
Director – R&D Division,
Professor of pharmaceutical analysis and medical chemisry
President – IPA local branch - anantapuramu
FACTORS AFFECTING RESOLUTION IN
HPLC
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• Introduction
• Factors affecting resolution in HPLC
Capacity factor , K’
Selectivity factor , α
Column efficiency , N
Tailing factor ,T
• Acceptance criteria
• How to improve resolution
• References
Contents:
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• HPLC is characterized by the use of high pressure to push mobile phase solution
through a column of stationary phase allowing a separation of complex mixtures
with high resolution.
• They travel according to their relative affinities towards stationary phase.
• More affinity – travels slower
Less affinity - travels faster
• This technique is used for separation , purification, identification, extraction of
compounds.
Introduction:
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5. RIPER
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• Resolution is a function of difference in retention times of the two
peaks (t RA and t RB) and widths of the peaks at the base (W A and
W B).
• Baseline resolution is achieved when R = 1.5.
• There is a quantitative measure of resolution as shown in the
equation below:
R = t RA – t RB / 0.5( WA + W B)
Resolution:
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7. RIPER
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• Resolution can also be expressed in the Resolution Equation as a
combination of the factors (separation, efficiency, and retention) that
affect this value.
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• Retention factor / capacity factor is the time the component
interacts with the stationary phase (tR ) relative to the time the
component spends in the mobile phase (t0).
• It is a measure of degree of interaction with stationary phase.
K= (tR–t0 ) / t0
• Where, tR = retention time of the peak
t0 = column dead time
Capacity Factor, K’:
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Influencing the capacity factor:
• Mobile phase strength : Increasing mobile phase strength – decreases k
• Temperature : Increase in temperature - decreases k
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• As k grows longer its effect reaches a limit at a value of about 10.
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• The separation factor is defined as the ratio of retention
factors (k).
• In addition to resolution, the separation factor (α) is also used as an
indicator of the separation of two peaks.
α = K 2 /K 1
• A good selectivity for HPLC is 1.1, which allows a resolution of 1.5
to be achieved.
Selectivity Factor, α
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Influencing the selectivity factor , α :
• Mobile phase type : type of interaction between m.p and analyte is
critical to optimization of selectivity of system.
• Column type : bonded phase - better selectivity
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• As α grows larger, its effect reaches a limit at a value of about 5.
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• The efficiency of a column is reported as the number of theoretical
plates (plate number), N.
• It is the measure of sharpness of the peaks.
• A high value for efficiency indicates that more peaks can be
separated.
• The number of plates will increase with the length of the column.
Column Efficiency, N
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• The calculation for efficiency is related to the peak width and is as follows:
N = (t/w) 2
• Where, t = retention time of the peak of interest
W = peak width at the base.
• Similar to the measurement for resolution, the measurement for efficiency
may also be performed using the peak width at half height:
N = 5.54 (t / wh/2 ) 2
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• where, W h/2 is the peak width as half height.
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• Resolution will continue to increase as theoretical plates increase.
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• It is defined as the distance between the front edge of the peak to the
back edge of the peak divided by twice of the front edge of the peak
with all measurements made at 5% of maximum peak height.
• Tailing factor is a measure of symmetry of a peak.
Tailing Factor, T:
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• It is measured by the following equation:
T = W 0.05 / 2f
• where, W 0.05 = peak width at 5% height
f = distance from peak front to apex point at baseline
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Acceptance Criteria:
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Increase N (efficiency) by:
• Increasing column length
• Decreasing particle size
• Reducing peak tailing
• Increasing temperature
• Reducing system extra-column volume
How to improve resolution in HPLC
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Change α (selectivity) by:
• Changing column stationary phase
• Changing mobile phase pH
• Changing mobile phase solvent(s).
Increase k (retention) by:
• Using a weaker solvent (changing polarity)
• Changing the ionization (polarity) of the analyte by changing pH
• Using a stronger stationary phase (changing polarity)
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References:
• K., Robards (1994). Principles and practice of modern chromatographic
methods. Haddad, P. R., Jackson, P. E. Amsterdam: Elsevier/Academic
• Y. V. Kazakevich and R. LoBrutto (ed.), HPLC for Pharmaceutical Scientists,
2007.
• Lindsay, S.; Kealey, D. (1987). High performance liquid chromatography.
• Patel A, Dwivedi N, Kaurav N, Bashani S, Patel S, Sharma HS, et
al. Chemical analysis of pharmaceuticals: a review. J Med PharmInnov
2016;3:4-7.
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