This study evaluated plasma concentrations of the antiretroviral drug atazanavir (ATV) in 110 HIV-positive patients receiving either ATV 300 mg with ritonavir (ATV300/r) boosting or unboosted ATV 400 mg. Plasma samples were analyzed by HPLC. ATV300/r achieved higher trough concentrations and longer half-life than unboosted ATV 400 mg. Coadministration of drugs that induce or inhibit CYP3A4, the main metabolic pathway of ATV, impacted ATV exposure. Higher ATV concentrations were associated with elevated bilirubin levels. The study confirmed pharmacokinetic variability with ATV dosing and identified
Switch from Enfuvirtide to Raltegravir Lowers Plasma Concentrations
of Darunavir and Tipranavir: a Pharmacokinetic Substudy of the
EASIER-ANRS 138 Tria
Related Substances-Method Validation-PPT_slideBhanu Prakash N
This document provides an overview of analytical method validation. It defines validation as demonstrating a method is suitable for its intended purpose. Key validation characteristics discussed include precision, accuracy, specificity, linearity, range, detection limit, quantitation limit, ruggedness and robustness. The document describes the methodology for evaluating each characteristic, such as spiking known concentrations of analytes and establishing acceptance criteria. It emphasizes that validation confirms a method consistently produces results meeting pre-defined standards of quality.
This document discusses analytical method validation. It provides definitions and guidelines for validating analytical methods from regulatory agencies. Key aspects of method validation discussed include accuracy, precision, specificity, range, linearity, limits of detection and quantification. Validation parameters are described for different types of analytical tests including identification, quantitative impurity tests and assays. Guidelines are provided for qualifying analytical instrumentation and categorizing instruments based on complexity.
Reference standards in Pharmaceutical Industriesbhavanavedantam
This presentation is brief introduction about reference standards that are using in pharmaceutical industries for calibration of different instruments, methods and pharmaceutical chemicals...
This document presents information on HPLC method development and validation. It begins with an introduction to analytical chemistry and chromatography. It then discusses the principles, types, and modes of HPLC, as well as factors to consider in method development such as column selection and mobile phase selection. The document concludes with a discussion of method validation parameters such as system suitability, specificity, linearity, precision, accuracy, limit of detection, limit of quantification, and robustness. References on the topic are also provided.
The document discusses phase appropriate method validation. It provides guidelines for validating analytical methods based on the intended use and stage of product development. Validation requirements become more extensive in later phases, from proof of concept in Phase I to full validation in Phase III. Key validation characteristics discussed include specificity, selectivity, range, accuracy, precision, detection limit, quantitation limit, linearity and robustness. The document also covers stress studies, system suitability criteria, and the differences between stability indicating and specificity methods.
Switch from Enfuvirtide to Raltegravir Lowers Plasma Concentrations
of Darunavir and Tipranavir: a Pharmacokinetic Substudy of the
EASIER-ANRS 138 Tria
Related Substances-Method Validation-PPT_slideBhanu Prakash N
This document provides an overview of analytical method validation. It defines validation as demonstrating a method is suitable for its intended purpose. Key validation characteristics discussed include precision, accuracy, specificity, linearity, range, detection limit, quantitation limit, ruggedness and robustness. The document describes the methodology for evaluating each characteristic, such as spiking known concentrations of analytes and establishing acceptance criteria. It emphasizes that validation confirms a method consistently produces results meeting pre-defined standards of quality.
This document discusses analytical method validation. It provides definitions and guidelines for validating analytical methods from regulatory agencies. Key aspects of method validation discussed include accuracy, precision, specificity, range, linearity, limits of detection and quantification. Validation parameters are described for different types of analytical tests including identification, quantitative impurity tests and assays. Guidelines are provided for qualifying analytical instrumentation and categorizing instruments based on complexity.
Reference standards in Pharmaceutical Industriesbhavanavedantam
This presentation is brief introduction about reference standards that are using in pharmaceutical industries for calibration of different instruments, methods and pharmaceutical chemicals...
This document presents information on HPLC method development and validation. It begins with an introduction to analytical chemistry and chromatography. It then discusses the principles, types, and modes of HPLC, as well as factors to consider in method development such as column selection and mobile phase selection. The document concludes with a discussion of method validation parameters such as system suitability, specificity, linearity, precision, accuracy, limit of detection, limit of quantification, and robustness. References on the topic are also provided.
The document discusses phase appropriate method validation. It provides guidelines for validating analytical methods based on the intended use and stage of product development. Validation requirements become more extensive in later phases, from proof of concept in Phase I to full validation in Phase III. Key validation characteristics discussed include specificity, selectivity, range, accuracy, precision, detection limit, quantitation limit, linearity and robustness. The document also covers stress studies, system suitability criteria, and the differences between stability indicating and specificity methods.
This document describes the development and validation of an RP-HPLC method for the quantification of verapamil in drug substances and products. It involves selecting the optimal chromatographic conditions, such as the column, mobile phase, flow rate, and developing the method according to ICH guidelines. The method development steps include selecting the HPLC method and conditions, optimizing the selectivity and system parameters, and validating the method parameters like accuracy, precision, specificity, linearity and range. The goal is to develop a simple, accurate and precise RP-HPLC method for the analysis of verapamil that can be validated as per regulatory requirements.
A Review on Step-by-Step Analytical Method Validationiosrphr_editor
When analytical method is utilized to generate results about the characteristics of drug related samples it is essential that the results are trustworthy. They may be utilized as the basis for decisions relating to administering the drug to patients. Analytical method validation required during drug development and manufacturing and these analytical methods are fit for their intended purpose. To comply with the requirements of GMP pharmaceutical industries should have an overall validation policy which documents how validation will be performed. The purpose of this validation is to show that processes involved in the development and manufacture of drug, production and analytical testing can be performed in an effective and reproducible manner. This review article provides guidance on how to perform validation characteristics for the analytical method which are utilized in pharmaceutical analysis.
The document discusses validation criteria for analytical test procedures, including specificity, linearity and range, accuracy, precision (repeatability, intermediate precision), detection limit, and quantitation limit. It provides definitions and recommendations for establishing each criterion through studies involving spiked samples, calibration standards, and statistical analysis of results. Criteria validation helps demonstrate that an analytical procedure is suitable for its intended purpose of identifying, quantifying, or limiting substances within drug samples.
Analytical method development and validation for simultaneous estimationProfessor Beubenz
The document discusses analytical method development and validation for the simultaneous estimation of active pharmaceutical ingredients (APIs). It covers topics such as the need for method development, the steps involved, parameters for validation as outlined in ICH guidelines, and the use of high performance liquid chromatography (HPLC). The key objectives of validation are to demonstrate that the developed method is suitable for its intended purpose and can reliably quantify the APIs.
Method Validation - ICH /USP Validation, Linearity and Repeatability labgo
1. The document provides an overview of method validation requirements from various regulatory bodies and guidelines. It discusses key validation parameters such as specificity, linearity, range, accuracy, precision, detection limit, and quantitation limit.
2. Validation is required to demonstrate that analytical methods are suitable for their intended purposes. It identifies potential sources of error and quantifies errors in the method. Validation includes parameters like linearity, range, accuracy, and precision.
3. The document provides details on establishing various validation parameters according to regulatory guidelines from ICH, FDA, and USP. It also discusses considerations for validating methods like instrument qualification and defines method life cycles.
Validation of Analytical and Bioanalytical methodssarikakkadam
Guidelines for Validation of Analytical and Bioanalytical methods as per ICH (Q2R1) and USFDA respectively with an example of Bioanalytical method validation.
This document discusses regulations and standards for analytical method validation. It provides an overview of requirements from the FDA, PIC/S, ICH, USP and ISO/IEC. Key points covered include method validation helping to ensure accurate and reliable data, as well as the interrelationship between instrument qualification, method validation, system suitability testing and quality control. The goal of method validation is to demonstrate that the analytical procedure is suitable for its intended purpose.
Method validation for drug substances and drug product _remodified_2014Ramalingam Badmanaban
Method validation is the process of proving that an analytical method is acceptable for its intended purposes.
METHOD VALIDATION = ERROR ASSESSMENT
Method validation is the process of demonstrating that analytical procedures are suitable for their intended use and that they support the identity, strength, quality, purity and potency of the drug substances and drug products
Validation: Prior ConsiderationsSuitability of Instrument Status of Qualification and Calibration Suitability of Materials Status of Reference Standards, Reagents, Placebo Lots Suitability of Analyst Status of Training and Qualification Records Suitability of Documentation Written and approved standard test procedure and proper approved protocol with pre-established acceptance criteria
Compendial vs. Non-compendial Methods
Compendial methods-Verification
Regulatory analytical procedure in USP/NF
Non- compendial methods-Validation
Alternative analytical procedure proposed by the applicant for use instead of the regulatory analytical procedure
Chromatographic Methods
Demonstrate Resolution
Impurities/Degradants Available
Spike with impurities/degradants
Show resolution and a lack of interference
Impurities/Degradants Not Available
Stress SamplesFor assay, Stressed and Unstressed Samples should be compared.
Ability of an analytical method to measure the analyte free from interference due to other components.
Selectivity describes the ability of an analytical method to differentiate various substances in a sample
Original term used in USP
Also Preferred by IUPAC and AOAC
Also used to characterize chromatographic columns
Degree of Bias (Used in USP)
The difference in assay results between the two groups
the sample containing added impurities, degradation products, related chemical compounds, placebo ingredients
Selectivity: For impurity test, impurity profiles should be compared.
Temperature (50-60℃)
Humidity (70-80%)
Acid Hydrolysis (0.1 N HCl)
Base Hydrolysis (0.1 N NaOH)
Oxidation (3-30%)
Light (UV/Vis/Fl)
Intent is to create 10 to 30 % Degradation
Change in the analytical procedure, drug substance, drug product, the changes, may necessitate revalidation of the analytical procedures.
“The degree of revalidation depends on the nature of the change.”
“FDA intends to provide guidance in the future on post-approval changes in analytical procedures.”
By Visual Inspection of plot of signals vs. analyte concentration
By Appropriate statistical methods
Linear Regression (y = mx + b)
Correlation Coefficient, y-intercept (b), slope (m)
Acceptance criteria: Linear regression r2 > 0.999
Requires a minimum of 6 concentration levels
Normally derived from Linearity studies.
Established by confirming that the method provides acceptable degree of linearity, accuracy, and precision.
Specific range dependent upon intended application of the procedure.
The document discusses the development, optimization, and validation of HPLC methods. It begins by outlining reasons why new HPLC methods may need to be developed, such as when existing methods are not suitable for a new drug or formulation. The document then describes the general steps in HPLC method development, including defining separation goals based on the sample properties, choosing sample pretreatment and detection methods, optimizing the separation conditions, and checking for any problems. Key parameters that require optimization are also outlined, such as the stationary and mobile phases, column, and detector. The document concludes by discussing the process of validating the method, including evaluation of accuracy, precision, linearity, range, specificity, limits of detection and quantification, robustness
The document discusses analytical method validation. It provides an overview of the International Conference on Harmonization (ICH) which aims to harmonize regulatory requirements between Europe, Japan and the United States. It then discusses the key parameters of method validation including specificity, accuracy, precision, linearity, range, robustness, limit of detection, limit of quantification and system suitability. The document provides guidelines on testing and evaluating each validation parameter according to regulatory standards. It emphasizes that analytical methods must be validated before use and whenever the method is changed to ensure reliable and reproducible results.
This document discusses guidelines for validating analytical methods from the International Council for Harmonisation (ICH). It defines method validation as demonstrating that analytical procedures are suitable for their intended use. Key parameters of method validation discussed include specificity, linearity, range, accuracy, precision, detection and quantitation limits, ruggedness and robustness. The guidelines provide criteria for acceptance in each parameter area to ensure analytical methods are suitable to support the quality and potency of pharmaceutical products.
Analytical method development and validation of tapentadol hcl by rp hplcShweta Tiwari
This document summarizes the development and validation of an analytical method using reverse phase high performance liquid chromatography (RP-HPLC) to analyze tapentadol hydrochloride in tablet dosage forms. The method utilized a C18 column with a mobile phase of methanol and water, detected the analyte at 272 nm. Validation of the method showed good linearity, precision, accuracy, specificity. The developed and validated method can be used for quality control of tapentadol hydrochloride tablet formulations.
This document summarizes guidelines for analytical method validation from various regulatory agencies. It discusses the purpose of validation to verify method suitability for submissions. Key validation characteristics covered include specificity, linearity, range, accuracy, precision, detection/quantitation limits, robustness, and system suitability testing. It notes that revalidation may be necessary if the analytical method or drug product is changed.
This document discusses analytical method validation. It begins by explaining why method validation is important, such as ensuring consistent, reliable, and accurate data from analytical measurements. It then provides background on regulatory requirements for method validation from agencies like the FDA. The document outlines the key steps in method validation, including qualification of instruments, materials, analysts, developing validation protocols, performing validation experiments, and documenting results. It also discusses ICH and USP guidelines for method validation characteristics like accuracy, precision, specificity, linearity, range, and more. Finally, it provides details on specificity testing and criteria for different analytical procedure types.
The document discusses reference standards which are substances used to ensure the identity, strength, quality and purity of medicines. Reference standards are obtained from organizations like USP and used to support various measurements in chemical, biological, clinical and physical areas. The document outlines the process of preparation, characterization, storage and utilization of reference standards. It provides guidelines on properties like purity, stability and intended use of reference standards.
Validation is defined as establishing documented evidence that a process will consistently produce results meeting pre-determined specifications. Key aspects of analytical method validation include accuracy, precision, specificity, limit of detection/quantitation, linearity, range, robustness, and system suitability. Validation demonstrates a method is suitable for its intended use and ensures consistent, reliable results are obtained in compliance with regulations.
This document discusses tandem mass spectrometry techniques. It describes two types of tandem MS: tandem-in-space, where separation elements are physically separated and tandem-in-time where separation is accomplished over time within a single instrument. It also outlines four main scan experiments - precursor ion scan, product ion scan, selected reaction monitoring, and neutral loss scan. Fragmentation techniques discussed include in-source fragmentation, post-source fragmentation using collision-induced dissociation, and notation for indicating peptide fragments.
GAS CHROMATOGRAPHY AND MASS SPECTROMETRY (GC-MS) BY P.RAVISANKAR.Dr. Ravi Sankar
The document discusses the principles and components of gas chromatography-mass spectrometry (GC-MS). GC-MS combines gas chromatography and mass spectrometry to identify unknown chemical compounds in a sample. In GC-MS, the sample is vaporized and injected into a GC where components are separated by volatility. The separated components enter the mass spectrometer where they are ionized and fragmented, producing mass spectra that can identify each component. The combined GC-MS technique provides both separation and identification of compounds in a single analysis.
This document describes the development and validation of an RP-HPLC method for the quantification of verapamil in drug substances and products. It involves selecting the optimal chromatographic conditions, such as the column, mobile phase, flow rate, and developing the method according to ICH guidelines. The method development steps include selecting the HPLC method and conditions, optimizing the selectivity and system parameters, and validating the method parameters like accuracy, precision, specificity, linearity and range. The goal is to develop a simple, accurate and precise RP-HPLC method for the analysis of verapamil that can be validated as per regulatory requirements.
A Review on Step-by-Step Analytical Method Validationiosrphr_editor
When analytical method is utilized to generate results about the characteristics of drug related samples it is essential that the results are trustworthy. They may be utilized as the basis for decisions relating to administering the drug to patients. Analytical method validation required during drug development and manufacturing and these analytical methods are fit for their intended purpose. To comply with the requirements of GMP pharmaceutical industries should have an overall validation policy which documents how validation will be performed. The purpose of this validation is to show that processes involved in the development and manufacture of drug, production and analytical testing can be performed in an effective and reproducible manner. This review article provides guidance on how to perform validation characteristics for the analytical method which are utilized in pharmaceutical analysis.
The document discusses validation criteria for analytical test procedures, including specificity, linearity and range, accuracy, precision (repeatability, intermediate precision), detection limit, and quantitation limit. It provides definitions and recommendations for establishing each criterion through studies involving spiked samples, calibration standards, and statistical analysis of results. Criteria validation helps demonstrate that an analytical procedure is suitable for its intended purpose of identifying, quantifying, or limiting substances within drug samples.
Analytical method development and validation for simultaneous estimationProfessor Beubenz
The document discusses analytical method development and validation for the simultaneous estimation of active pharmaceutical ingredients (APIs). It covers topics such as the need for method development, the steps involved, parameters for validation as outlined in ICH guidelines, and the use of high performance liquid chromatography (HPLC). The key objectives of validation are to demonstrate that the developed method is suitable for its intended purpose and can reliably quantify the APIs.
Method Validation - ICH /USP Validation, Linearity and Repeatability labgo
1. The document provides an overview of method validation requirements from various regulatory bodies and guidelines. It discusses key validation parameters such as specificity, linearity, range, accuracy, precision, detection limit, and quantitation limit.
2. Validation is required to demonstrate that analytical methods are suitable for their intended purposes. It identifies potential sources of error and quantifies errors in the method. Validation includes parameters like linearity, range, accuracy, and precision.
3. The document provides details on establishing various validation parameters according to regulatory guidelines from ICH, FDA, and USP. It also discusses considerations for validating methods like instrument qualification and defines method life cycles.
Validation of Analytical and Bioanalytical methodssarikakkadam
Guidelines for Validation of Analytical and Bioanalytical methods as per ICH (Q2R1) and USFDA respectively with an example of Bioanalytical method validation.
This document discusses regulations and standards for analytical method validation. It provides an overview of requirements from the FDA, PIC/S, ICH, USP and ISO/IEC. Key points covered include method validation helping to ensure accurate and reliable data, as well as the interrelationship between instrument qualification, method validation, system suitability testing and quality control. The goal of method validation is to demonstrate that the analytical procedure is suitable for its intended purpose.
Method validation for drug substances and drug product _remodified_2014Ramalingam Badmanaban
Method validation is the process of proving that an analytical method is acceptable for its intended purposes.
METHOD VALIDATION = ERROR ASSESSMENT
Method validation is the process of demonstrating that analytical procedures are suitable for their intended use and that they support the identity, strength, quality, purity and potency of the drug substances and drug products
Validation: Prior ConsiderationsSuitability of Instrument Status of Qualification and Calibration Suitability of Materials Status of Reference Standards, Reagents, Placebo Lots Suitability of Analyst Status of Training and Qualification Records Suitability of Documentation Written and approved standard test procedure and proper approved protocol with pre-established acceptance criteria
Compendial vs. Non-compendial Methods
Compendial methods-Verification
Regulatory analytical procedure in USP/NF
Non- compendial methods-Validation
Alternative analytical procedure proposed by the applicant for use instead of the regulatory analytical procedure
Chromatographic Methods
Demonstrate Resolution
Impurities/Degradants Available
Spike with impurities/degradants
Show resolution and a lack of interference
Impurities/Degradants Not Available
Stress SamplesFor assay, Stressed and Unstressed Samples should be compared.
Ability of an analytical method to measure the analyte free from interference due to other components.
Selectivity describes the ability of an analytical method to differentiate various substances in a sample
Original term used in USP
Also Preferred by IUPAC and AOAC
Also used to characterize chromatographic columns
Degree of Bias (Used in USP)
The difference in assay results between the two groups
the sample containing added impurities, degradation products, related chemical compounds, placebo ingredients
Selectivity: For impurity test, impurity profiles should be compared.
Temperature (50-60℃)
Humidity (70-80%)
Acid Hydrolysis (0.1 N HCl)
Base Hydrolysis (0.1 N NaOH)
Oxidation (3-30%)
Light (UV/Vis/Fl)
Intent is to create 10 to 30 % Degradation
Change in the analytical procedure, drug substance, drug product, the changes, may necessitate revalidation of the analytical procedures.
“The degree of revalidation depends on the nature of the change.”
“FDA intends to provide guidance in the future on post-approval changes in analytical procedures.”
By Visual Inspection of plot of signals vs. analyte concentration
By Appropriate statistical methods
Linear Regression (y = mx + b)
Correlation Coefficient, y-intercept (b), slope (m)
Acceptance criteria: Linear regression r2 > 0.999
Requires a minimum of 6 concentration levels
Normally derived from Linearity studies.
Established by confirming that the method provides acceptable degree of linearity, accuracy, and precision.
Specific range dependent upon intended application of the procedure.
The document discusses the development, optimization, and validation of HPLC methods. It begins by outlining reasons why new HPLC methods may need to be developed, such as when existing methods are not suitable for a new drug or formulation. The document then describes the general steps in HPLC method development, including defining separation goals based on the sample properties, choosing sample pretreatment and detection methods, optimizing the separation conditions, and checking for any problems. Key parameters that require optimization are also outlined, such as the stationary and mobile phases, column, and detector. The document concludes by discussing the process of validating the method, including evaluation of accuracy, precision, linearity, range, specificity, limits of detection and quantification, robustness
The document discusses analytical method validation. It provides an overview of the International Conference on Harmonization (ICH) which aims to harmonize regulatory requirements between Europe, Japan and the United States. It then discusses the key parameters of method validation including specificity, accuracy, precision, linearity, range, robustness, limit of detection, limit of quantification and system suitability. The document provides guidelines on testing and evaluating each validation parameter according to regulatory standards. It emphasizes that analytical methods must be validated before use and whenever the method is changed to ensure reliable and reproducible results.
This document discusses guidelines for validating analytical methods from the International Council for Harmonisation (ICH). It defines method validation as demonstrating that analytical procedures are suitable for their intended use. Key parameters of method validation discussed include specificity, linearity, range, accuracy, precision, detection and quantitation limits, ruggedness and robustness. The guidelines provide criteria for acceptance in each parameter area to ensure analytical methods are suitable to support the quality and potency of pharmaceutical products.
Analytical method development and validation of tapentadol hcl by rp hplcShweta Tiwari
This document summarizes the development and validation of an analytical method using reverse phase high performance liquid chromatography (RP-HPLC) to analyze tapentadol hydrochloride in tablet dosage forms. The method utilized a C18 column with a mobile phase of methanol and water, detected the analyte at 272 nm. Validation of the method showed good linearity, precision, accuracy, specificity. The developed and validated method can be used for quality control of tapentadol hydrochloride tablet formulations.
This document summarizes guidelines for analytical method validation from various regulatory agencies. It discusses the purpose of validation to verify method suitability for submissions. Key validation characteristics covered include specificity, linearity, range, accuracy, precision, detection/quantitation limits, robustness, and system suitability testing. It notes that revalidation may be necessary if the analytical method or drug product is changed.
This document discusses analytical method validation. It begins by explaining why method validation is important, such as ensuring consistent, reliable, and accurate data from analytical measurements. It then provides background on regulatory requirements for method validation from agencies like the FDA. The document outlines the key steps in method validation, including qualification of instruments, materials, analysts, developing validation protocols, performing validation experiments, and documenting results. It also discusses ICH and USP guidelines for method validation characteristics like accuracy, precision, specificity, linearity, range, and more. Finally, it provides details on specificity testing and criteria for different analytical procedure types.
The document discusses reference standards which are substances used to ensure the identity, strength, quality and purity of medicines. Reference standards are obtained from organizations like USP and used to support various measurements in chemical, biological, clinical and physical areas. The document outlines the process of preparation, characterization, storage and utilization of reference standards. It provides guidelines on properties like purity, stability and intended use of reference standards.
Validation is defined as establishing documented evidence that a process will consistently produce results meeting pre-determined specifications. Key aspects of analytical method validation include accuracy, precision, specificity, limit of detection/quantitation, linearity, range, robustness, and system suitability. Validation demonstrates a method is suitable for its intended use and ensures consistent, reliable results are obtained in compliance with regulations.
This document discusses tandem mass spectrometry techniques. It describes two types of tandem MS: tandem-in-space, where separation elements are physically separated and tandem-in-time where separation is accomplished over time within a single instrument. It also outlines four main scan experiments - precursor ion scan, product ion scan, selected reaction monitoring, and neutral loss scan. Fragmentation techniques discussed include in-source fragmentation, post-source fragmentation using collision-induced dissociation, and notation for indicating peptide fragments.
GAS CHROMATOGRAPHY AND MASS SPECTROMETRY (GC-MS) BY P.RAVISANKAR.Dr. Ravi Sankar
The document discusses the principles and components of gas chromatography-mass spectrometry (GC-MS). GC-MS combines gas chromatography and mass spectrometry to identify unknown chemical compounds in a sample. In GC-MS, the sample is vaporized and injected into a GC where components are separated by volatility. The separated components enter the mass spectrometer where they are ionized and fragmented, producing mass spectra that can identify each component. The combined GC-MS technique provides both separation and identification of compounds in a single analysis.
Gas chromatography coupled to mass spectrometry (GC-MS) is a versatile analytical technique that can separate, quantify, and identify unknown organic compounds and gases in complex mixtures. It works by separating components via gas chromatography and then using mass spectrometry for detection. GC-MS has applications in fields like semiconductor manufacturing, contamination control, and forensic analysis of samples like urine.
1) Gas chromatography mass spectrometry (GC-MS) is a hyphenated technique that combines gas chromatography and mass spectrometry to identify different molecules within a sample.
2) GC separates the components in a mixture through partitioning between a mobile and stationary phase, while MS identifies molecules by detecting their mass.
3) Common ionization techniques used in GC-MS include electron impact and chemical ionization. Mass analyzers like quadrupole, ion trap, and time-of-flight are used to detect ions.
4) GC-MS has applications in pharmaceutical analysis, forensics, anti-doping testing, and newborn screening for inborn errors of metabolism.
The document discusses the implementation of a triple quadrupole mass spectrometry (TMS) system at BHH including its components and operating principles. It then provides details on the optimization and use of the system to develop LC-MS/MS methods for screening urine samples for drugs of abuse and developing steroid analysis services. The methods allow for the simultaneous detection of multiple analytes with high sensitivity and specificity.
The document discusses hyphenated analytical techniques, specifically gas chromatography-mass spectrometry (GC-MS). It outlines the advantages of hyphenated techniques, describes the instrumentation and interface of GC-MS, and lists several applications including metabolite profiling, detection of compounds in plant tissues, analysis of aromatic amines, identification of volatile components, and environmental and forensic analysis. GC-MS is presented as a powerful technique for the sensitive analysis of various compounds.
Most current highly active antiretroviral therapy (HAART) regimens for HIV-positive patients contain two nucleoside reverse transcriptase inhibitors (NRTIs) with either a Protease inhibitor (PIs) or a non-nucleoside reverse transcriptase inhibitors (NNRTI). Notwithstanding the regulatory guidelines recommending therapeutic drug monitoring (TDM) for these drugs, therapeutic failure is a very serious concern implying drug induced toxicity and more importantly viral rebound and viral resistance.
Single dose, steady state and dose ranging studies have all more or less demonstrated that there is a positive correlation between plasma concentrations and therapeutic effects of anti-retrovirals (ARVs). However, one of the main challenges still seems to be the target concentrations for these drugs and their relevant inhibitory quotient. In this talk, we are going to examine these issues along with bioanalytical challenges, drug-effect and drug –toxicity relationships and finally drug-drug interactions within different HAART regimes.
UV-vis. spectroscopy N HPLC (rilpivirine) by RJcharan.RJ Charan
This document outlines the development and validation of UV and HPLC methods for the analysis of Rilpivirine, an antiretroviral drug used to treat HIV. It discusses developing UV spectroscopy methods to determine the wavelength of maximum absorbance of Rilpivirine. It also discusses developing an HPLC method to separate and analyze Rilpivirine, including selecting the column, mobile phase, and detection wavelength. The goal is to validate these analytical techniques for accurate quantification of Rilpivirine in samples.
Development and validation of a stability indicating RP-HPLC method for estim...BRNSSPublicationHubI
This document describes the development and validation of a reverse-phase high-performance liquid chromatography (RP-HPLC) method for the quantitative analysis of daclatasvir in pharmaceutical formulations. The method utilizes a C18 column, mobile phase of acetonitrile and 0.1% formic acid buffer at a ratio of 40:60, and detection wavelength of 305 nm. Standard and sample solutions of daclatasvir were prepared and analyzed using the optimized method. The results demonstrate that the developed RP-HPLC method is accurate, precise, sensitive and stability-indicating for the analysis of daclatasvir in pharmaceutical dosage forms.
A newly validated HPLC method development for simultaneous estimation of rito...SriramNagarajan19
The aim of the present work was to develop a isocratict RP-HPLC for simultaneous analysis of ritonavir and lopinavir in tablet dosage form. Method: chromatographic system was optimized using a Agilent XDB C18(150 x 4.6mm,5µm) column with potassium dihydrogen phosphate (pH 4.6) and acetonitrile in the ratio of 45;55, as a mobile phase, at a flow rate of 1.0 ml/min. detection was carried out at 215nm by a photodiode array detector. Result: ritonavir and lopinavir were eluted with retention times of 4.821 and 3.814mins respectively. Beer’s lambert’s law was obeyed over the concentration ranges of 12.5 to 50µg/ml and 50 to 200µg/ml for ritonavir and lopinavir, respectively. Conclusion: the high recovery and low coefficients of variation confirm the suitability of the method for simultaneous analysis of both drugs in a tablet dosage form. Statistical analysis proves that the method is sensitive and significant for the analysis of ritonavir and lopinavir in pure and in pharmaceutical dosage form without any interference from the excipients. The method was validated in accordance with ICH guidelines. Validation revealed the method is specific, rapid, accurate, precise, reliable, and reproducible.
Presentación realizada por Piedad Arazo Garcés, en el curso de la Jornada Pacientes y Salud: “Foros en el CIBA”. Novedades terapéuticas e importancia del paciente informado, el 12 de noviembre de 2014.
The document summarizes a multi-site evaluation of the OptiQuant® BKV Quantification Panel and OptiQual® BKV Controls. Fifteen laboratories tested the panel and controls using different extraction methods, platforms, and assays. Results showed good linearity, precision, and consistency across different test methods. The controls performed well with 100% detection and mean values close to expected. The study demonstrates these quality control materials can be used to validate and verify assays across a range of testing procedures.
This study challenges current guidelines for vancomycin dosing based on trough concentrations alone. The authors analyzed 3 datasets containing vancomycin concentration-time profiles in 47 adults. Pharmacokinetic modeling showed trough-only monitoring underestimated AUC by about 25% compared to using full concentration data. Simulation of 5000 dosing profiles found over 50% of patients with adequate AUC would not meet trough guidelines. The authors conclude trough is a poor surrogate for AUC and dosing based solely on trough risks underdosing and suboptimal treatment. A Bayesian approach using multiple concentrations like AUC is preferable for optimal vancomycin monitoring.
Stability indicating analytical method development and validation for estimat...SriramNagarajan18
Stability indicating analytical method development and validation for estimation of Sacubitril and Valsartan in bulk and pharmaceutical dosage form using RP-HPLC
This document discusses treatment considerations for patients co-infected with tuberculosis (TB) and HIV. It summarizes evidence on initiating antiretroviral therapy (ART) in patients being treated for TB. Starting ART earlier reduces HIV disease progression and death, but increases the risk of TB-immune reconstitution inflammatory syndrome (IRIS). Later ART initiation reduces IRIS risk, but increases HIV disease progression and death risks. The optimal time to start ART in TB patients may depend on their CD4 count and differs according to the individual's risks.
Method development and validation by UV Visible spectrophotometerVenkatesh Mantha
This document discusses the development and validation of a UV-spectrophotometric method for the quantitative estimation of olaparib in API form. It begins with an introduction to UV spectroscopy and its principles. It then discusses olaparib's drug profile, marketed formulations, literature review on previous studies estimating olaparib, and the objectives and plan of work for developing the analytical method. The method development, validation, results, and conclusion sections are also listed in the contents.
This is the presentation on Role of advancement in instrumentation in pharmacodynamic evaluation of drugs
in clinical trials.
CONTENTS
Concept of medical instrument and instrumentation
Centrifuge
PCR
HPLC
Flow cytometry
Mass SPECTROMETRY
Minimally invasive technologies in PD
Conclusion
Understanding Bioanalytical Method Validation in a Regulatory PerspectiveDr. Ishaq B Mohammed
The document provides an overview of bioanalytical method development and validation. It discusses key aspects of the process including sample preparation techniques, calibration curves and quality control standards, method validation parameters such as selectivity, specificity, carryover, precision and accuracy, and acceptance criteria. The goal of bioanalytical method validation is to demonstrate that the analytical method is reliable and reproducible for its intended use in quantitatively measuring analytes in a biological matrix.
Quantification of RMP1-14 in BALB/c Mouse Plasma by Liquid Chromatography-Tan...Covance
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1. Validation of a rapid and sensitive high-performance liquid
chromatography–tandem mass spectrometry (HPLC–MS/MS)
assay for the simultaneous determination of existing and new
antiretroviral compounds
Laura Elsea a,∗
, Victoria Watsonab
, John Tjia a, Andrew Hughesb
, Marco Siccardia
, Saye Khoo a
,
David Back a
a Department of Pharmacology and Therapeutics, University of Liverpool, Liverpool, UK
b NIHR Biomedical Research Centre, Royal Liverpool Hospital Trust, Liverpool, UK
Journal of Chromatography B, 878 (2010) 1455–1465
Date:07/05/14
Unit of Clinical Pharmacology,
Department of Biomedical and Clinical Sciences,
"Luigi Sacco" University Hospital
2.
3.
4. Abstract
Abstract |
Simple, fast and sensitive HPLC–MS/MS method for determination of
the commonly used protease inhibitors (PI) amprenavir, atazanavir,
darunavir, lopinavir, ritonavir, saquinavir and the non-nucleoside
reverse transcriptase inhibitor (NNRTI) nevirapine, as well as the
more recent antiretrovirals, the CCR5 antagonist maraviroc and the
“second generation” NNRTI etravirine and rilpivirin
The method described is being successfully applied to measure
plasma antiretroviral concentrations from samples obtained from
clinical pharmacokinetic studies.
5. Introduction
Highly active antiretroviral therapy (HAART) has dramatically reduced HIV-1-
associated mortality and morbidity and currently comprises 25 drugs from five
different classes
Various guidelines recommend for treatment naive patients, a combination of
three or more antiretroviral agents; an NNRTI or a ritonavir boosted PI in
combination with a dual NRTI backbone.
An estimated 8% of treatment naive and 33% of experienced patients do not
achieve viral suppression or experience viral rebound within 12 months of
initiating HAART
Forty per cent of therapy-naive people with HIV experience virological failure
during the first two years of antiretroviral therapy (ART)
low plasma concentrations of antiretroviral drugs is the predictive of more rapid
immunological failure and failure to achieve virological success in the first year of
therapy .
Furthermore, a substantial number of people receiving ART discontinue therapy
in the first 45 weeks of treatment, the majority stop therapy because of drug
related toxicity
6. Routine therapeutic drug monitoring (TDM) and pharmacokinetic drug
interaction studies between existing and new antiretrovirals, and with
concomitant medications are essential for the optimization and management of
antiretroviral therapy
7.
8. Drug Therapy Monitoring
Therapeutic drug monitoring (TDM) is the clinical practice of measuring specific
drugs at designated intervals to maintain a constant concentration in a patient's
bloodstream, thereby optimizing individual dosage regimens.
Purpose
TDM is employed to measure blood drug levels so that the most effective dosage can be
determined, with toxicity prevented. TDM is also utilized to identify noncompliant
patients (those patients who, for whatever reason, either cannot or will not comply with
drug dosages as prescribed by the physician).
9. Why TDM in ART
The PI and NNRTI undergo cytochrome P450 mediated metabolism via CYP3A4
and to a lesser extent by CYP2B6, CYP2D6 and CYP2C19 which renders them prone to
variable pharmacokinetics and extensive drug–drug interactions when given in
combination or with other concomitant medications .
All PI inhibit CYP3A4, ritonavir being the most potent and is used exclusively at
subtherapeutic doses to “boost” other PI.
In addition, ritonavir, lopinavir and amprenavir have CYP enzyme inducing properties.
The first generation NNRTI nevirapine and efavirenz are substrates and inducers of
CYP3A4 and CYP2B6 .
The second generation NNRTI rilpivirine is metabolized primarily by CYP3A4, and
etravirine by CYP3A4, CYP2C9, CYP2C19 .
Maraviroc is a substrate for both CYP3A4 and the efflux transporter P-
gycloprotein, and has shown clinically significant interactions with both PI and NNRTI,
rendering mandatory maraviroc dosage adjustments with some associations
10. Thus,
•Antiretroviral Shows Pharmacokinetics and pharmacodynamic relationship
•Antiretroviral Shows Pharmacokinetics and toxicity relationship
Characterisation of this relationship is a key to the selection of an optimal dose
for a drug, understanding inter- and intra-subject variability, and to design
strategies to optimize response and tolerability while avoiding unwanted toxicity.
Here, authors developed fast and sensitive HPLC–MS/MS method for the
determination of the commonly used PI [amprenavir (APV), atazanavir (ATV),
darunavir (DRV), lopinavir (LPV), ritonavir (RTV), saquinavir (SQV)] and NNRTI
[nevirapine (NVP)], as well as recently licensed CCR5 antagonist maraviroc
(MVC) and the second generation NNRTI etravirine (ETV) and rilpivirine (RPV).
11. Materials and methods
1. Chemicals
APV : Glaxo Wellcome Research and Development (Middlesex, UK)
ATV (atazanavir sulphate) : Bristol-Myers Squibb (Hounslow, UK)
SQV: by Roche Discovery (Welwyn, UK),
LPV, RTV : Abbott Laboratories (Chicago, IL, USA)
NVP: Boehringer Ingelheim Pharmaceuticals, Inc. (Berkshire, UK).
DRV: (darunavir ethanolate), ETV, RPV (rilpivirine hydrochloride): Tibotec (Mechelen, Belgium)
MVC: Pfizer (Sandwich, Kent, UK).
2. Equipment
The HPLC system consisted of a variable loop Accela autosampler (200 vial capacity set at a
temperature of 15 C) and an Accela LC pump (Thermo Electron Corporation, Hemel Hempstead,◦
UK).
A reverse-phase AscentisTM C18 column (3m: 100mm×2.1mm) at an temperature of 26 C.◦
The HPLC system coupled with a triple-quadrupole TSQ Quantum Ultra mass spectrometer (Thermo
Electron Corporation, with a heated-electrospray ionization (H-ESI) source.
TSQ Tune Software (Thermo Electron Corporation, Hemel Hepstead, UK) was used for the
optimization of tuning parameters.
LC QuanTM software (Version 2.5.6, Thermo Electron Corporation, Hemel Hepstead, UK) was used
for data acquisition and processing.
12. Chromatographic and mass spectrometric conditions
•Chromatographic separation was achieved using a rapid stepwise gradient
[ACN:water (0.05% formic acid) 5:95 and 80:20,v/v] mobile phase at a flow rate
of 400 μL /min over a total run time of 5 min.
•The triple-quadrupole mass spectrometer was operated in positive ionization
mode and detection and quantification was performed using selective reaction
monitoring (SRM).
13. Preparation of calibrators, quality controls and internal Standard
Calibration point range
•10 to 10,000 ng/ml (APV, ATV, NVP, RPV and SQV)
• 5 to 5000 ng/ml (ETV and RTV)
• 5 to 1000 ng/ml (MVC)
•15 to 15,000 ng/ml (DRV and LPV)
APV, ATV, NVP,
RPV, SQV
ETV, RTV, MVC DRV LPV
LLQC 25 ng/ml 12.5 ng/ml 40 ng/ml
LQC 150 ng/ml 100 ng/ml; MVC 50
ng/ml
250 ng/ml),
MQC 1500 ng/ml 800 ng/ml; MVC 400
ng/ml
3500 ng/ml
HQC 8000 ng/ml 4000 ng/ml; MVC 700
ng/ml
12,000 ng/ml
Quality Controls
14. Sample pre-treatment
Calibrators and QC samples in duplicate (100µl) QX (20µl and 1 µg/ml )
protein precipitation with ACN (500µl) vortexed and left to stand at room
temperature (15 min) re-vortexed and centrifuged supernatant
decanted into correspondingly labelled 5ml glass tubes followed by the addition of 0.05%
formic acid (200µl) re-vortexed and transferred to autosampler vials
injection (10µl) onto the HPLC column.
Validation of calibrators and quality controls
•A minimum of 10 calibration curves on separate days to ascertain the concentration at
each calibrator level for all 10 drugs.
•Calibrator curves were constructed using a 1/concentration weighted quadratic regression
equation of analyte:internal standard peak area ratios versus target concentration, from
which unknown drug concentrations were interpolated
• Minimum of 10 QC samples (at LLQC, LQC, MQC and HQC) were treated as unknown
values and run in duplicate on separate days alongside a validated calibration curve in order
determine the final QC concentration and inter assay precision and accuracy
• Intra-assay variation was ascertained by running six LLQC, LQC, MQC and HQC samples
within a single analytical run.
15. Standard curve range
10 standard curves run to ascertain mean target calibrator and QC concentrations
Drugs Mean calibration curve
range (ng/ml)
Correlation Coefficient
(r2
)
APV 11-10,063
> 0.998ATV 11-10,017
DRV 16-15,062
ETV 5-5000
LPV 16-15,083
MVC 5-1,009
NVP 11-10,056
RPV 11-10,045
RTV 5-5018
SQU 10-10,087
Mean QC Concentration
QC Levels % variation
LLQC <14
LQC, MQC,HQC 2-11
19. Detection and chromatography
•Triple-quadrupole mass spectrometer was operating in positive SRM mode set to a
narrow scan width (0.01 m/z) and scan time (0.01 s) for all transitions.
•The capillary temperature and vaporising temperature within the H-ESI source were
maintained at 300 and 350 C throughout an assay◦
23. Discussion
The developed bioanalytical method successfuly applied to measure antiretroviral
plasma concentration for clinical pharmacokinetic studies.
This HPLC–MS/MS method was fully validated with accuracy (% bias) and precision
(CV%), which did not exceed 13% and 10% for all compounds with Percentage
recovery greater than 90% for all analytes.
Stability data suggest that all analytes remained sufficiently stable under our current
storage conditions (−20 ◦C) for up to 1 month.
Assay describes very short run time of 5 min per sample with a quick and simple
sample pre-treatment procedure and hence , suitable for high-throughput TDM
purposes
This method requires small volume of plasma for analysis (100µl). This is
advantageous when quantifying drug in patients such as children and neonates, or
from alternative matrices
24. Conclusion
A simple and rapid assay for the quantification of all currently approved PI (APV,
ATV, DRV, LPV, RTV and SQV) and NNRTI (NVP), as well as recently licensed
antiretroviral classes (MRC) and the second generation NNRTI (ETV and RPV) in
human plasma has been developed and validated.
This method is proven to be specific, accurate, precise and robust.
The assay is highly sensitivity for all analytes and the step-wise gradient potentially
allows addition of new analytes into the same analytical run.
Due to the high signal-to-noise ratio at the LLQ level, this method could be adopt to
measure low antiretroviral concentrations in sites such as the genital tract and in
cerebrospinal fluid.
25. Atazanavir (ATV) is an azapeptide protease inhibitor.
Protease inhibitors ATV is not associated with abnormal lipid profiles .
ATV has a unique pharmacokinetic profile which makes it suitable for once-daily oral
administration.
26. Method
This is a observational study carried out at St. Vincent’s Hospital which evaluated TDM data from
a cohort of 110 people (Treatment experienced ) with HIV who received ATV over a 5-month
period.
The mean age and number of the participants in the study
•(ATV300/r), n=92, was 46± 9 years
•(ATV400), n=26 46 ± 11 years
Plasma samples Collection : ATV300/r: 0–8 h (n = 5), 8–16 h (n=20) and 16–30 h (n=67) and
ATV400: 8–16 h ( n = 2) and 16–30 h ( n = 24).
ATV Plasma concentration were quantified by HPLC on a phenyl hexyl column (250 x 4.6 mm; 5
mm) with ultraviolet detection at 205 nm.
The ATV calibration standards ranged from 50 to 10 000 µg/l and the lower limit of ATV
quantification was 50 µg/l
.
27. Results and Discussion :
Out of 20 patient 11 with through plasma ATV concentration below the limit of detection
(25 µg/l) participated in Steady-state pharmacokinetic analysis
•8 received 400 mg ATV daily and 3 received ATV300/r daily
• Plasma samples were collected at 0, 3, 6, 9 and 24 h
• 2nd
Dose after 24h with Coca Cola and a single 3 h blood sample was collected to
observe the effect on ATV concentrations.
28. ATV 400 ATV 300/r
Median
C min Conc
30 µg/l (range < 25–390
µg/l )
476 µg/l (range
< 25–2108 µg/l)
Half Life 1.9 to 4.1 h 2.3 to 11.2 h
(half life < 4h
in 13% of
patient)
ATV Trough 25
µg/l
(below
detection limit)
13 (8 interviewed for
adherence, 2 patient
coadministered ,
efavirenz,
colchicines.nandrolone
and esomeprazole )
7 (3
interviewed for
adherence.
Coadministered
esomeprazole,
fluticasone ,
rtv,)
Elevated
Bilirubin
35 % patient
(median 15.0; range 4–
49 µmol l-1
)
49 % patient
All ATV Cmin plasma concentrations >500
mg l-1
were associated with abnormal
serum bilirubin results (median 55.5;
range 24–119 µmol l-1
31. Pharmackinetic profile of the patient
suffering from hypertension and asthama
•Fluticasone accuhaler 500 µg bid
•Lopinavir/ritonavir for 11 month before
switching on to ATV 300/r
•First pharmacokinetic study
•Diagnosed with Cushing syndrome after 7
month
•Fluticasone replaced with montelukast
•Second pharmacokinetic study after 2 week
wash out period
•The AUC for ATV increased from 21,447 mg
h-1
l 38,384 mg h-1
l when fluticasone was
ceased
•No acidic beverage effect
32. Conclusion
Substantial Pharmacokinetic variability with the ATV dose of 300/r and ATV 400
This study confirmed a relationship between elevated serum bilirubin concentration
and higher ATV concentrations
Study describes possible drug interaction between RTV, fluticasone and ATV.
Coadministration of RTV and fluticasone is not recommended due to the ability of
RTV to inhibit CYP3A4 mediated fluticasone metabolism causing iatrogenic Cushing
Syndrome
Reduced plasma concentrations of ATV are expected when the drug is used in
combination with antacids, buffered medications, H2-receptor antagonists and
proton-pump inhibitors