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ANALYTICAL METHOD DEVELOPMENT
OPTIMISATION AND VALIDATION OF
             HPLC

          Sudheer kumar kamarapu
               Assistant professor
          Sri Shivani college of pharmacy
INTRODUCTION




               2
• 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 the patent regulations.
• Analytical procedures 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 quantisation of the drug in the 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.
• The existing analytical procedures involve cumbersome extraction and
  separation procedures and these may not be reliable.

                                                                       3
• As simple as possible.
• Most specific.
• Most productive economical and convenient.
• As accurate precise as required.
• Multiple source of key components(reagents,columns,TLC
  plates) should be avoided.
• To be fully optimized before transfer for validation of
  characteristics such as accuracy,precision,sensitivity,
  ruggedness etc.


                                                       4
STEPS IN HPLC METHOD
  DEVELOPMENT




                       5
Information on sample,
        define separation goals.


Need for special HPLC procedure, sample
           pretreatment..etc..


           Choose detector


  Choose LC method ; preliminary run;
  estimate best separation conditions


          Optimize separation
              conditions.
                                          6
Check for problems or
requirement for special
      procedure




  Validate method for
   release to routine
       laboratory.




                          7
Important information concerning
sample composition and properties:

 Number of compounds present.

   Chemical structures (functionality) of compounds.

   Molecular weights of compounds.

   Pka values of compounds.

   UV spectra of compounds.

   Concentration range of compounds in samples of interest.

   Sample solubility.

                                                               8
SEPARATION GOALS

   Is the primary goal quantitative analysis ,the detection of an substance, the
    characterization of unknown sample components or the isolation of purified
    material ?

   Is it necessary to resolve all sample components?

   If quantitative analysis is requested , what levels of accuracy and precision
    are required

   For how many different sample matrices should the method be designed

   How many samples will be analyzed at one time

   What HPLC equipment and operator skills are present in the laboratory that
    will use the final method ?
                                                                              9
SAMPLE PRE TREATMENT
   AND DETECTION
Samples come in various forms:

• Solutions ready for injection.

• Solutions that require dilution, buffering, addition of an
internal standard, or other volumetric manipulation.

• Solids that must first be dissolved or extracted.

• Samples that require sample pretreatment to remove
 interferences and/or protect the column or equipment
from damage.
                                                               10
SAMPLE PRETREATMENT
• Removal of insoluble material
      Filteration
      Centrifuge

• Control of concentration
       Dilution

• Extraction

       Liquid phase extraction
       Solid phase extraction

• Derivatization for detection


                                  11
Selection of detectors
•   UV-VIS   Ultraviolet/ visible detector
•   PDA      Photodiode Array Detector
•   RF       Fluorescence detector
•   CDD      Conductivity detector
•   RID      Refractive index detector
•   ECD      Electrochemical detector
•   ELSD     Evaporative light scattering detector
•   MS        Mass spectrometer detector



                                                     12
DEVELOPING THE SEPARATION




      Ref:Practical HPLC method development     13

      2nd edition by Lioyd R.Snyder Chapter 1
Improving The Separation




     Ref:Practical HPLC method development     14
     2nd edition by Lioyd R.Snyder Chapter 1
Checking for problems
        Problem                                  Comment
Low plate numbers                        Poor choice of column


Column variability                       Poor choice of column


Short column life                        Poor choice of column, need for
                                         sample pretreatment

Retention shift                          Insufficient column equilibrium, need
                                         for sample pretreatment, loss of
                                         bonded phase

Poor quantitative precision              Need for better calibration,
                                         identification of sources of error

New interference peaks discovered        Initial inadequate or initial samples
                                         not representative.

                  Ref:Practical HPLC method development                       15

                  2nd edition by Lioyd R.Snyder Chapter 1
METHOD OPTIMIZATION
Optimization of a separation is principally directed by the following
goals:
• To separate better (higher resolution),
• To separate faster (shorter retention time),
• To see more (lower detection limit),
• To separate at lower cost (economic effort),
• To separate more (higher throughput).

Optimization of a method can follow either of two general
approaches:
• Manual .
• Computer driven.


                                                                  16
The various parameters that include to be optimized
  during method development are :
• Mode of separation .
• Selection of stationary phase .
• Selection of mobile phase.
• Selection of detector .


Mode of separation:
  For the separation of polar or moderately polar
  compounds, the most preferred mode is reverse
  phase


                                                       17
Selection of stationary phase/column:
The appropriate choice of separation column includes different
  approaches:
• The particle size and the nature of the column packing.
• The physical parameters of the column i.e. the length and
  the diameter.
Selection of mobile phase :
The following are the parameters, which shall be taken into
  consideration while selecting and optimizing the mobile
  phase:
• Buffer and its strength: The retention times are depend on
  the molar strengths of the buffer – Molar strength is
  increasingly proportional to retention times.

                                                         18
• pH : It is important to maintain the pH of the mobile
  phase in the range of 2.0 to 8.0 as most columns
  does not withstand to the pH which are outside this
  range.
• Mobile phase composition:
• Experiments were conducted with mobile phases
  having buffers with different pH and different
  organic phases to check for the best separations
  between the impurities.
• A mobile phase which gives separation of all the
  impurities and degradants from each other and from
  analyte peak should be preferred



                                                          19
Selection of detector:
The characteristics that are to be fulfilled by a detector to
  be used in HPLC determination are:

•   High sensitivity, facilitating trace analysis
•   Negligible baseline noise. To facilitate lower detection
•   Large linear dynamic range
•   Non destructive to sample
•   Inexpensive to purchase and operate




                                                                20
VALIDATION OF HPLC METHOD




                            21
VALIDATION, USP:

“Validation of an analytical procedure is the process by which
it is established, by laboratory studies, that the performance
characteristics of the procedure meet the requirements for
the intended analytical applications.”




                                                         22
Basic Parameters for the Validation
of Method:
               Specificity

               Linearity

               Accuracy
 Method
 validation    Limit of detection

               Limit of quantification

               Precision

               Range

               Robustness
                                         23
               System suitability
Validation Characteristics
                          Identificatio                     Impurities                Assay
                              n                          quantita
                                                          tive                limit
  Accuracy                            -                       +                 -       +
  Precision                           -                       +                 -       +
  Specificity                         +                       +                +        +
Detection Limit                       -                        -               +        -
 Quantitation                         -                                                 -
    Limit                                                     +                 -
   Linearity                          -                       +                 -       +
    Range                             -                       +                 -       +
 Robustness                           +                       +                +        +
        Ref:Quality assurance of pharmaceuticals(A compendium of guidelines             24
             and related materials),volume 1 ,Chapter 4
             World Health Organization Geneva
Accuracy:

• Definition: The accuracy of an analytical procedure expresses the
  closeness of agreement between the value that is accepted either
  as a conventional true value or as an accepted reference value and
  the value found.

   According to the ICH, accuracy should be determined using a minimum of
   nine determinations over a minimum of three concentration levels
   covering the range .

         Obtained value - Expected value
%Error = -----------------------------------------   * 100
                   Expected value

%Error
<1% Highly accurate
 1 to 5% Moderately accurate
>5% Low accurate



                                                                  25
Precision :
Definition :
The Precision is a measure of the ability of the method to
generate reproducible results. The precision of a method is
evaluated for repeatability, intermediate precision and
reproducibility.




                                                              26
Limit of Detection (LOD, DL):
The LOD of an analytical procedure is the lowest amount of
analyte in sample which can be detected but not necessarily
quantitated as an exact value. Determination is usually based on
   – Signal to noise ratio (~3:1) (baseline noise)
                         or
   – Standard deviation of response (s) and Slope (S)
       3.3 s/S
                       SNR = H/h
   Where,
   H = height of the peak corresponding to the component.
   h = absolute value of the largest noise fluctuation from
     the baseline of the chromatogram of a blank solution .


                                                              27
Limit of Quantitation (LOQ, QL)

 – The LOQ is the lowest amount of analyte in a sample which can be
   quantitatively determined with suitable precision and accuracy.The
   quantitation limit is used particularly for the determination of
   impurities and/or degradation products.

Determination is usually based on
 – Signal to noise ratio (~10:1) (baseline noise)
                          or
 – Standard deviation of response (s) and Slope (S)
      10 s/S
 - The Quantitation limit of a method is affected by both the detector
    sensitivity and the accuracy of sample preparation.


                                                                 28
LOD, LOQ and Signal to Noise Ratio (SNR)


                                     LOQ
            Signal to Noise = 10:1


            Signal to Noise = 3:1
                                      LOD

                                     Noise
                                       29
Range:

ICH Definition:

The range of an analytical procedure is the interval
  between the upper and lower concentrations of
  analytes in the for which it has been demonstrated
  that the analytical procedure has a suitable level of
  precision, accuracy, and linearity.




                                                          30
Range For Different Tests:
• Assay
    80 to 120% of test concentration.

• Content uniformity
    70 to 130% of test concentration

•   Dissolution
     Q-20% to 120%

•   Impurities
    Reporting level – 120% of specification limit (with respect
      to test concentration of API)

• Assay & Impurities
    Reporting level to 120% of assay specification

                                                                  31
Linearity:
 Definition : Linearity of an analytical procedure is its ability
(within a given range) to obtain test results which are
directly proportional to the concentration of analytes in the
sample.

•If there is a linear relationship test results should be
 evaluated by appropriate statistical methods like,
    •Correlation coefficient
    •Y-intercept
    •Slope of regression line
    •Plot of the Data



                                                                32
Linearity Ranges and Acceptance Criteria for
     Various Pharmaceutical Methods




                                               33

          Ref:Modern HPLC by Michel Dong.
SYSTEM SUITABILITY TESTING (SST)

 System suitability testing (SST) is used to verify resolution,
 column efficiency, and repeatability of the analysis system
 to ensure its adequacy for performing the intended
 application on a daily basis.

Which Parameters??

     •Number of theoretical plates (efficiency)
     •Capacity factor,
     •Separation (relative retention)
     •Resolution,
     •Tailing factor
     •Relative Standard Deviation (Precision)                34   34
•Plate number or number of theoretical plates (n)
n=L/H, where L is Length of Column
         H is HETP or height of one theoretical plate
•Capacity factor (capacity ratio) k
        k= (tr-tm) /tm    where tr is retention time
                             tm is dead time
•Separation Factor (relative retention)
        α=k1/k2
    where k1 is capacity factor of compound a
    and k2 is capacity factor of compound b
•Tailing factor ,T
         T=W/2f
          where W is width at 5% at peak height,
          f is distance between max and leading edge of
        the peak

                                                          35
Ref:Modern HPLC by Michel Dong,   36
Robustness :
Definition :
Robustness is reliability of an analytical procedure with
 respect to deliberate variations in method parameters.

•If measurements are susceptible to variations in analytical
 conditions the analytical conditions should be suitably
 controlled or a precautionary statement should be included
 in the procedure.




                                                        37
PARAMETERS TO BE EVALUATED FOR ROBUSTNESS

•Mobile Phase
      • pH (±0.1–0.2 units)
      • Buffer concentration (±5–10mM)
      • Percentage organic modifier (±1–2% MP)

•Sample
      •Injection volume
      • sample concentration
      •Column temperature (±5°C)
      •Detector wavelength (±3nm)




                                                 38
Selectivity and Specificity :
•Selectivity is the ability to measure accurately and specifically the
 analyte in the presence of components that may be expected to
 be present in the sample matrix.

•Specificity for an assay ensures that the signal measured comes
 from the substance of interest, and that there is no interference
 from excipients and/or degradation products and/or impurities.




                                                              39
REFERENCES
1. Modern HPLC by Michel Dong, Chapter 9.

2. Analytical Method Validation and Instrument Performance
   Verification by Herman Lam and Y.C. Lec, Chapter 3 and
   Chapter 11.

3. Practical HPLC method development 2nd edition by Lioyd
   R.Snyder Chapter 1

4. Quality assurance of pharmaceuticals(A compendium of
   guidelines and related materials),volume 1 ,Chapter 4
   World Health Organization Geneva




                                                             40
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Hplc validation sud mpharm

  • 1. ANALYTICAL METHOD DEVELOPMENT OPTIMISATION AND VALIDATION OF HPLC Sudheer kumar kamarapu Assistant professor Sri Shivani college of pharmacy
  • 3. • 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 the patent regulations. • Analytical procedures 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 quantisation of the drug in the 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. • The existing analytical procedures involve cumbersome extraction and separation procedures and these may not be reliable. 3
  • 4. • As simple as possible. • Most specific. • Most productive economical and convenient. • As accurate precise as required. • Multiple source of key components(reagents,columns,TLC plates) should be avoided. • To be fully optimized before transfer for validation of characteristics such as accuracy,precision,sensitivity, ruggedness etc. 4
  • 5. STEPS IN HPLC METHOD DEVELOPMENT 5
  • 6. Information on sample, define separation goals. Need for special HPLC procedure, sample pretreatment..etc.. Choose detector Choose LC method ; preliminary run; estimate best separation conditions Optimize separation conditions. 6
  • 7. Check for problems or requirement for special procedure Validate method for release to routine laboratory. 7
  • 8. Important information concerning sample composition and properties:  Number of compounds present.  Chemical structures (functionality) of compounds.  Molecular weights of compounds.  Pka values of compounds.  UV spectra of compounds.  Concentration range of compounds in samples of interest.  Sample solubility. 8
  • 9. SEPARATION GOALS  Is the primary goal quantitative analysis ,the detection of an substance, the characterization of unknown sample components or the isolation of purified material ?  Is it necessary to resolve all sample components?  If quantitative analysis is requested , what levels of accuracy and precision are required  For how many different sample matrices should the method be designed  How many samples will be analyzed at one time  What HPLC equipment and operator skills are present in the laboratory that will use the final method ? 9
  • 10. SAMPLE PRE TREATMENT AND DETECTION Samples come in various forms: • Solutions ready for injection. • Solutions that require dilution, buffering, addition of an internal standard, or other volumetric manipulation. • Solids that must first be dissolved or extracted. • Samples that require sample pretreatment to remove interferences and/or protect the column or equipment from damage. 10
  • 11. SAMPLE PRETREATMENT • Removal of insoluble material Filteration Centrifuge • Control of concentration Dilution • Extraction Liquid phase extraction Solid phase extraction • Derivatization for detection 11
  • 12. Selection of detectors • UV-VIS Ultraviolet/ visible detector • PDA Photodiode Array Detector • RF Fluorescence detector • CDD Conductivity detector • RID Refractive index detector • ECD Electrochemical detector • ELSD Evaporative light scattering detector • MS Mass spectrometer detector 12
  • 13. DEVELOPING THE SEPARATION Ref:Practical HPLC method development 13 2nd edition by Lioyd R.Snyder Chapter 1
  • 14. Improving The Separation Ref:Practical HPLC method development 14 2nd edition by Lioyd R.Snyder Chapter 1
  • 15. Checking for problems Problem Comment Low plate numbers Poor choice of column Column variability Poor choice of column Short column life Poor choice of column, need for sample pretreatment Retention shift Insufficient column equilibrium, need for sample pretreatment, loss of bonded phase Poor quantitative precision Need for better calibration, identification of sources of error New interference peaks discovered Initial inadequate or initial samples not representative. Ref:Practical HPLC method development 15 2nd edition by Lioyd R.Snyder Chapter 1
  • 16. METHOD OPTIMIZATION Optimization of a separation is principally directed by the following goals: • To separate better (higher resolution), • To separate faster (shorter retention time), • To see more (lower detection limit), • To separate at lower cost (economic effort), • To separate more (higher throughput). Optimization of a method can follow either of two general approaches: • Manual . • Computer driven. 16
  • 17. The various parameters that include to be optimized during method development are : • Mode of separation . • Selection of stationary phase . • Selection of mobile phase. • Selection of detector . Mode of separation: For the separation of polar or moderately polar compounds, the most preferred mode is reverse phase 17
  • 18. Selection of stationary phase/column: The appropriate choice of separation column includes different approaches: • The particle size and the nature of the column packing. • The physical parameters of the column i.e. the length and the diameter. Selection of mobile phase : The following are the parameters, which shall be taken into consideration while selecting and optimizing the mobile phase: • Buffer and its strength: The retention times are depend on the molar strengths of the buffer – Molar strength is increasingly proportional to retention times. 18
  • 19. • pH : It is important to maintain the pH of the mobile phase in the range of 2.0 to 8.0 as most columns does not withstand to the pH which are outside this range. • Mobile phase composition: • Experiments were conducted with mobile phases having buffers with different pH and different organic phases to check for the best separations between the impurities. • A mobile phase which gives separation of all the impurities and degradants from each other and from analyte peak should be preferred 19
  • 20. Selection of detector: The characteristics that are to be fulfilled by a detector to be used in HPLC determination are: • High sensitivity, facilitating trace analysis • Negligible baseline noise. To facilitate lower detection • Large linear dynamic range • Non destructive to sample • Inexpensive to purchase and operate 20
  • 21. VALIDATION OF HPLC METHOD 21
  • 22. VALIDATION, USP: “Validation of an analytical procedure is the process by which it is established, by laboratory studies, that the performance characteristics of the procedure meet the requirements for the intended analytical applications.” 22
  • 23. Basic Parameters for the Validation of Method: Specificity Linearity Accuracy Method validation Limit of detection Limit of quantification Precision Range Robustness 23 System suitability
  • 24. Validation Characteristics Identificatio Impurities Assay n quantita tive limit Accuracy - + - + Precision - + - + Specificity + + + + Detection Limit - - + - Quantitation - - Limit + - Linearity - + - + Range - + - + Robustness + + + + Ref:Quality assurance of pharmaceuticals(A compendium of guidelines 24 and related materials),volume 1 ,Chapter 4 World Health Organization Geneva
  • 25. Accuracy: • Definition: The accuracy of an analytical procedure expresses the closeness of agreement between the value that is accepted either as a conventional true value or as an accepted reference value and the value found. According to the ICH, accuracy should be determined using a minimum of nine determinations over a minimum of three concentration levels covering the range . Obtained value - Expected value %Error = ----------------------------------------- * 100 Expected value %Error <1% Highly accurate 1 to 5% Moderately accurate >5% Low accurate 25
  • 26. Precision : Definition : The Precision is a measure of the ability of the method to generate reproducible results. The precision of a method is evaluated for repeatability, intermediate precision and reproducibility. 26
  • 27. Limit of Detection (LOD, DL): The LOD of an analytical procedure is the lowest amount of analyte in sample which can be detected but not necessarily quantitated as an exact value. Determination is usually based on – Signal to noise ratio (~3:1) (baseline noise) or – Standard deviation of response (s) and Slope (S) 3.3 s/S SNR = H/h Where, H = height of the peak corresponding to the component. h = absolute value of the largest noise fluctuation from the baseline of the chromatogram of a blank solution . 27
  • 28. Limit of Quantitation (LOQ, QL) – The LOQ is the lowest amount of analyte in a sample which can be quantitatively determined with suitable precision and accuracy.The quantitation limit is used particularly for the determination of impurities and/or degradation products. Determination is usually based on – Signal to noise ratio (~10:1) (baseline noise) or – Standard deviation of response (s) and Slope (S) 10 s/S - The Quantitation limit of a method is affected by both the detector sensitivity and the accuracy of sample preparation. 28
  • 29. LOD, LOQ and Signal to Noise Ratio (SNR) LOQ Signal to Noise = 10:1 Signal to Noise = 3:1 LOD Noise 29
  • 30. Range: ICH Definition: The range of an analytical procedure is the interval between the upper and lower concentrations of analytes in the for which it has been demonstrated that the analytical procedure has a suitable level of precision, accuracy, and linearity. 30
  • 31. Range For Different Tests: • Assay 80 to 120% of test concentration. • Content uniformity 70 to 130% of test concentration • Dissolution Q-20% to 120% • Impurities Reporting level – 120% of specification limit (with respect to test concentration of API) • Assay & Impurities Reporting level to 120% of assay specification 31
  • 32. Linearity: Definition : Linearity of an analytical procedure is its ability (within a given range) to obtain test results which are directly proportional to the concentration of analytes in the sample. •If there is a linear relationship test results should be evaluated by appropriate statistical methods like, •Correlation coefficient •Y-intercept •Slope of regression line •Plot of the Data 32
  • 33. Linearity Ranges and Acceptance Criteria for Various Pharmaceutical Methods 33 Ref:Modern HPLC by Michel Dong.
  • 34. SYSTEM SUITABILITY TESTING (SST) System suitability testing (SST) is used to verify resolution, column efficiency, and repeatability of the analysis system to ensure its adequacy for performing the intended application on a daily basis. Which Parameters?? •Number of theoretical plates (efficiency) •Capacity factor, •Separation (relative retention) •Resolution, •Tailing factor •Relative Standard Deviation (Precision) 34 34
  • 35. •Plate number or number of theoretical plates (n) n=L/H, where L is Length of Column H is HETP or height of one theoretical plate •Capacity factor (capacity ratio) k k= (tr-tm) /tm where tr is retention time tm is dead time •Separation Factor (relative retention) α=k1/k2 where k1 is capacity factor of compound a and k2 is capacity factor of compound b •Tailing factor ,T T=W/2f where W is width at 5% at peak height, f is distance between max and leading edge of the peak 35
  • 36. Ref:Modern HPLC by Michel Dong, 36
  • 37. Robustness : Definition : Robustness is reliability of an analytical procedure with respect to deliberate variations in method parameters. •If measurements are susceptible to variations in analytical conditions the analytical conditions should be suitably controlled or a precautionary statement should be included in the procedure. 37
  • 38. PARAMETERS TO BE EVALUATED FOR ROBUSTNESS •Mobile Phase • pH (±0.1–0.2 units) • Buffer concentration (±5–10mM) • Percentage organic modifier (±1–2% MP) •Sample •Injection volume • sample concentration •Column temperature (±5°C) •Detector wavelength (±3nm) 38
  • 39. Selectivity and Specificity : •Selectivity is the ability to measure accurately and specifically the analyte in the presence of components that may be expected to be present in the sample matrix. •Specificity for an assay ensures that the signal measured comes from the substance of interest, and that there is no interference from excipients and/or degradation products and/or impurities. 39
  • 40. REFERENCES 1. Modern HPLC by Michel Dong, Chapter 9. 2. Analytical Method Validation and Instrument Performance Verification by Herman Lam and Y.C. Lec, Chapter 3 and Chapter 11. 3. Practical HPLC method development 2nd edition by Lioyd R.Snyder Chapter 1 4. Quality assurance of pharmaceuticals(A compendium of guidelines and related materials),volume 1 ,Chapter 4 World Health Organization Geneva 40