METHOD DEVELOPMENT AND VALIDATION FOR ANTI DIABETIC DRUGS BY RP-HPLC

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METHOD DEVELOPMENT AND VALIDATION FOR

     ANTI DIABETIC DRUGS BY RP-HPLC

                        A dissertation submitted to

    THE TAMILNADU Dr.M.G.R MEDICAL UNIVERSITY

                            CHENNAI- 600 032

 

     In partial fulfillment of the requirements for the award of degree of

 

                     MASTER OF PHARMACY

                                      IN

 

                PHARMACEUTICAL ANALYSIS

                                SUBMITTED

 

                                     BY

 

                       YAMUNA PRADEEPA J

                           (Reg. No. 261330961)

 

                            Under the guidance of

 

                  Mr.S.Justin Jayaraj, M.Pharm.,

 

 

 

 

          DEPARTMENT OF PHARMACEUTICAL ANALYSIS

 

 EDAYATHANGUDY.G.S PILLAY COLLEGE OF PHARMACY

                         NAGAPATTINAM-611002

 

                                 OCT 2015

METHOD DEVELOPMENT AND VALIDATION FOR

     ANTI DIABETIC DRUGS BY RP-HPLC

                        A dissertation submitted to

 

    THE TAMILNADU Dr.M.G.R MEDICAL UNIVERSITY

                            CHENNAI- 600 032

 

     In partial fulfillment of the requirements for the award of degree of

 

                     MASTER OF PHARMACY

                                      IN

 

                PHARMACEUTICAL ANALYSIS

                                SUBMITTED

 

                                     BY

 

                            (Reg. No. 261330961)

 

 

 

 

          DEPARTMENT OF PHARMACEUTICAL ANALYSIS

 

 EDAYATHANGUDY.G.S PILLAY COLLEGE OF PHARMACY

                         NAGAPATTINAM-611002

 

                                APRIL 2015

Mr.S.Justin Jayaraj, M.Pharm.,

 

Assistant Professor,

 

Department of Pharmaceutical Analysis

 

Edayathangudy.G.S. Pillay College of Pharmacy,

 

Nagapattinam – 611 002.

 

 

 

 

                          CERTIFICATE

 

        This is to certify that the dissertation entitled “METHOD

 

DEVELOPMENT AND VALIDATION FOR ANTI DIABETIC

 

DRUGS BY RP-HPLC” submitted by YAMUNA PRADEEPA J(Reg

 

No: 261330961) in partial fulfillment for the award of degree of Master

 

of Pharmacy to the Tamilnadu Dr. M.G.R Medical University, Chennai is

 

an independent bonafide work of the candidate carried out under my

 

guidance in the Department of Pharmaceutical Analysis,

 

Edayathangudy.G.S Pillay College of Pharmacy during the academic year

 

2012-2013.

 

Place: Nagapattinam

 

Date:

 

                                        Mr.S.Justin Jayaraj, M.Pharm.,

Prof.Dr.D.BabuAnanth,M.Pharm., Ph.D.,

 

Principal,

 

Edayathangudy.G.S.Pillay College of Pharmacy,

 

Nagapattinam – 611 002.

 

 

 

 

                     CERTIFICATE

 

        This is to certify that the dissertation entitled “METHOD

DEVELOPMENT AND VALIDATION FOR ANTI DIABETIC

DRUGS BY RP-HPLC” submitted by YAMUNA PRADEEPA J(Reg

No: 261330961) in partial fulfillment for the award of degree of Master

of Pharmacy to the Tamilnadu Dr. M.G.R Medical University, Chennai is

an independent bonafide work of the candidate carried out under the

guidance of Mr.S.justin jeyaraj,M.Pharm,,in Department of

Pharmaceutical Analysis, Edayathangudy G.S.Pillay College of

Pharmacy, Nagapattinam during the academic year 2014-2015.

 

 

 

 

                                Prof.Dr.D.BabuAnanth,M.Pharm., Ph.D.,

 

Place: Nagapattinam

 

Date:

ACKNOWLEDGEMENT

 

      I would like to express profound gratitude to Jothimani Chevalier

Thiru.G.S.Pillay, Chairman, E.G.S.Pillay College of Pharmacy, and

Thiru.S.Paramesvaran, M.Com., FCCA.,Secretary, E.G.S.Pillay College

of Pharmacy.

 

      I express my sincere and deep sense of gratitude to my guide

Mr.S.Justin Jayaraj, M.Pharm., Principal, E.G.S.Pillay College of

Pharmacy, for his guidance, invaluable and extreme support, encouragement,

and co-operation throughout the course of my work.

 

      I wish to express my great thanks Prof.Dr.D.Babu Ananth,

M.Pharm., Ph.D., Principal, E.G.S.Pillay College of Pharmacy, for his support

during my project work.

 

      I wish to express my great thanks to Prof.Dr.M.Murugan,

M.Pharm., PhD, Director cum Professor, Head, Department of

Pharmaceutics, E.G.S.Pillay College of Pharmacy, for his support during my

project work.

 

      I wish to express my great thanks to Prof.K.Shahul Hameed

Maraicar, M.Pharm., (PhD), Director cum Professor , Department of

Pharmaceutics, E.G.S.Pillay College of Pharmacy, for his support during my

project work.

 

      I would like to extend my thanks to all the Teaching Staff and Non

Teaching Staff, who are all, supported me for the successful completion of my

project work.

 

      Last but not least, I express my deep sense of gratitude to my parents,

family members, and friends for their constant valuable blessings and kindness.

INDEX

 

 

S.NO CONTENTS PAGE NO

 

 

 

 1 INTRODUCTION 1

 

 

 2 LITERATURE REVIEW 20

 

 

 3 DRUG PROFILE 22

 

 

 4 AIM & PLAN OF WORK 26

 

 

 5 MATERIALS & METHODS 27

 

 

 6 CHROMATOGRAMS 50

 

 

 7 RESULTS & DISCUSSION 78

 

 

 8 SUMMARY & CONCLUSION 80

 

 

 9 BIBLIOGRAPHY 81

INTRODUCTION

 

           Analytical chemistry may be defined as the science and art of

determining the composition of materials in terms of the elements of

composition contained. Pharmaceutical analysis is a bench of science that deals

with the analytical procedures used to determine the purity, safety and quality

of drugs and chemicals. It contains procedures to determine the identity ,

strength , quality and purity of new compounds . It also involves procedures

for separating, identifying, and determining the relative amount of the

components in sample of matter.

 

           Quality assurance plays a key role in finding the safety and

efficiency of medicines. It has highly specific and sensitive analytical

methods for the design , development, standardization and quality control of

medicinal products . They are equally important for the pharmacokinetics and

drug metabolism studies, both which are important for the assessment of

bioavailability and clinical response.

 

           Modern physical method of analysis are extremely sensitive even

for small amount of samples of materials .It can be rapidly applied and can

readily amenable to automation. So it is widely used in the product

development and in the control of manufacture , formulation and also in

monitoring the use of drugs and medicines.

 

           The term pharmaceutical analysis includes both quantitave and

qualitative analysis of Drugs and pharmaceutical substances starting from

bulk drugs to finished dosage forms .So it is used as a diagnostic aids in the

modern practice of medicine by the analysis of chemical constituents in the

human body which may alter during the disease state .

 

           If the quality of drug product is questioned by a physician , the

pharmacist is responsible for taking necessary steps to determine if indeed

the product is defective . This may be accomplished by contacting with

drug manufacturer about the problem involving the product , analyzing the

preparation in the laboratory , borrowing needed equipment from a

 

                                         1

clinical laboratory if necessary , sending the sample to a private

laboratory for analysis , or a combination of all these steps .In any case

,however, it remains the responsibility of analyst to solve problems relating to

drug quality .

          The term ‘quality’ as applied to a drug product has been defined

as the sum of all factors which contributes directly or indirectly to the safety ,

effectiveness and reliability of the product.

 

Significance of quality control:

 

         The pharmaceutical industry continues as a vital segment of the health

care cycle in conducting research and manufacturing products which are life

maintaining and life restoring.

 

           Modern medicines for human use are required to meet exacting

standards which are Related to their quality , safety and efficacy .The

evaluation of safety , efficacy and their maintenance in practice is dependent

up on the existence of adequate methods for the quality control of product.

 

         Quantitative analysis reveals the chemical identity of species in

the sample . Quantitative analysis establishes the relative amount of one or

more of these species or analyte in numerical terms.

 

Analytical Techniques

 

              The efficacy and safety of a medicinal product can only be

   assured by analytical monitoring of its quality. Therefore, the overall purity

   of a medicine must be assessed throughout its storage, distribution and use.

 

             The objective can possibly be achieved if the specification to be

   applied are based on validated procedure , which can demonstrate the

   relationship in quality between the substance under examination and that

   initially subjected to pharmaceutical, toxicological and pharmacological

   evaluation.

 

 

 

 

                                         2

These are the following techniques employed for

   estimation of different components in formulations.

 

   Optical methods

 

   Some of the optical methods are

 

      ï‚· X-ray spectroscopy

      ï‚· UV-Visible spectroscopy

      ï‚· Infrared spectroscopy

      ï‚· Atomic absorption spectroscopy

      ï‚· Flame photometry

      ï‚· Nuclear magnetic resonance spectroscopy

      ï‚· Nephlo-turbidimetry

      ï‚· Electron spin spectroscopy

 

Electro analytical methods:

 

Some of the electro analytical methods are

 

      ï‚· Amperometry

      ï‚· Voltametry

      ï‚· Potentiometry

      ï‚· Conductometry

 

Separation methods/chromatography

 

Some of chromatographic methods are

 

      ï‚· Gas-liquid chromatography

      ï‚· Gas-solid chromatography

      ï‚· Liquid-liquid chromatography

      ï‚· Liquid-solid chromatography

      ï‚· Thin-layer chromatography

      ï‚· Paper chromatography

      ï‚· Gel permeation chromatography

 

                                       3

One of the major decisions to be made by an analyst is the choice of

the most effective procedure for a given analysis , for this he must be

familiar with the practical details, the theoretical principles and also that he

must be conversant with the condition under which each method is reliable ,

aware of possible interferences which may arise and capable of demising

means of circumventing such problems .

 

The instrumental separative techniques are divided into two categories.

 

           1. Chromatography

           2. Electrophoresis

           3. Mass spectroscopy

 

Chromatography

 

          Chromatography is a technique by which a mixture is separated into

its components as a result of the relative ability of each component to be

eluted along or through the stationary phase by mobile phase .The sample is

placed on edge of the stationary phase (a solid or liquid) and a mobile phase is

allowed to flow over the stationary phase to sweep the sample along the length

of the stationary phase .Component which are strongly adsorbed to the

stationary phase are swept less rapidly along the length of the stationary phase

than those components that are less strongly adsorbed to stationary phase .

 

         The word chromatography is derived from the Greek letters chromos

meaning colour and the graphy means colour writing. The initial use of the

terms is attributed to Tswett, who separated colour bands of plant pigments on

a chromatography column that consist of an adsorbent powder that was washed

with a liquid solvent termed as mobile phase . This is carried down the length

of the tube that contains an immobile solid or liquid phase i.e. stationary phase.

 

 

 

 

                                        4

HIGH PERFORMANCE LIQUID CHROMATOGRAPHY (HPLC)

 

        The technique of high performance liquid chromatography (HPLC)

was developed in the later 1960s and early 1970s from knowledge of the

theoretical principles that already had been established for earlier

chromatographic techniques in particular for column chromatography. The

technique is based on the same modes of separation as classical column

chromatography. I.e. adsorption, partition (including reverse phase partition),

ion exchange and gel permeation. HPLC differ from column chromatography

in that mobile phase is pumped through the packed column under high

pressure. The principal advantages of HPLC compared to classical (gravity

feed) column chromatography are improved resolution of the separated

substances, faster separation times and the increased accuracy, precision and

sensitivity with which the separated substances may be quantified.

 

Basic principle of HPLC

 

            High performance liquid chromatography (HPLC) is a separation

technique utilizing differences in distribution of compounds in phases called

stationary phase and mobile phase. The stationary phase designates a thin layer

created on the surface of fine particles and the mobile phase designates the

liquid flowing over the particles. Under a certain dynamic solution, each

component in a sample has different distribution equilibrium depending on the

solubility in the phases and the molecular size.

 

 

 

            As a result, the component move at different speeds over the

stationary phase and there by separated by each other. The column is a stainless

steel (or resin) tube, which is packed with spherical solid particles. Mobile

phase constantly fed into the column inlet at a constant rate by a liquid pump.

Sample is injected from sample injector, located near the column inlet. The

injected sample enters the column with mobile phase and the components in

these samples migrate through it, passing between the stationary phase and

mobile phase.

 

                                        5

Compound move in the column only it is in the mobile phase and

therefore migrate faster through the column while compounds that tend to be

distributed in the stationary phase migrate slower .In this way, component is

separated on the column and sequentially elutes from the outlet. A detector

connected to the outlet of the column detects each compound eluting from the

column.

 

 

 

 

              The recorder starts at the time when sample is injected and

monitors the separation process and a graph is obtained. This graph is called

chromatogram. The time that is required for a compound to elute (called

retention time) and the relationship between the compound concentration

(amount) and peak area depends on the characteristics of the compound.

 

Selectivity of HPLC

 

Most of the drugs can be analysed by HPLC method because of several

advantages.

 

   ï‚· Speed (analysis can be accomplished in 20 minutes or less).

   ï‚· Greater sensitivity (various detectors can be employed).

   ï‚· Improved resolution (wide variety of stationary phase).

   ï‚· Reliable columns (wide variety of stationary phase).

   ï‚· Ideal for substances of low volatility.

   ï‚· Easy sample recovery, handling and maintenance.

   ï‚· Easy programming of the numerous functions in each module.

   ï‚· Time programmable operation sequence, such as initiating operation of

       detector lamp and pump to obtain stable baseline and equilibrated

       column before the work day begins.

   ï‚· Excellent reproducibility of retention time.

 

 

 

 

                                       6

Different Modes of Separation of HPLC

 

   – Normal phase mode

   – Reverse phase mode

   – Reverse phase ion pair chromatography

   – Ion exchange chromatography

   – Affinity chromatography

   – Size exclusion chromatography (gel permeation and gel filtration

       chromatography)

 

Instrumentation for HPLC

 

   – A solvent reservoir for the mobile phase to be delivered to column over

       a wide range of flow rates and pressure. A degasser is needed to remove

       dissolved air and other gases from the solvents

   – A pump to deliver the mobile phase to the column. The pumping system

       must be pulse free. A pump should be able to operate to at least 100

       atm(1500 psm), pressure suited to less expensive chromatography.

       However, 400 atm (600 psi) is a more desirable pressure limit. For many

       analytical columns only moderate flow rate of 0.5 to 2 ml per minute

       needed to be generated.

   – Sampling valves or loops are used to inject the sample in the flowing

       mobile phase just at the head of the separation column.

   – At the head of the separation column, there may be a guard column or a

       inline filter to prevent contamination of the main column by small

       particulates.

   – The separation column contains the packing needed to accomplish the

       desired HPLC separation. These may be silica’s for adsorption

       chromatography, bonded phases for liquid-liquid chromatography, ion

       exchange functional groups bonded to stationary support for ion

       exchange chromatography, gels of specific porosity for exclusion

       chromatography, or some unique packing for a particular separation

       method.

 

 

                                       7

– Most column lengths ranges from 10 – 30 cm, short, fast columns are 3

       â€“ 8cm long with an internal diameter of 4 -5 mm. Particle diameter lie in

       the range 3 -5 µm, occasionally up to 10 µm or higher for preparative

       chromatography.

   – A detector with some type of data handling device, completes the basic

       instrumentation.

 

The various detectors are

 

   – UV visible photometers

   – Refractive index detector

   – Flourimetric detector

   – Conductivity detector

   – Amperometric detector

   – PDA

              Detector electronic integrators and computing integrators are

       widely used today in HPLC for measuring peak areas. These devices

       automatically sense peaks and print out the areas in numerical forms.

       With the help of peak areas and height values, the peak width can be

       calculated (considering the peak as a triangle) and it can also be used for

       the calculation of number of theoretical plates.

       Quantitation methods in HPLC

                 Peak heights or peak area measurements only provide a

       response in terms of detector signal.

                This response must be related to the concentration or mass of

       the compound of interest. To accomplish this, some type of calibration

       must be performed.

 

The four primary techniques for quantization are

 

       a. Normalized peak area method.

       b. External standard method.

       c. Internal standard method.

       d. Method of standard addition.

 

                                         8

a) Normalized peak area method

          The area percent of any individual peak is referred to as normalized

     peak area. This technique is widely used to estimate the relative amounts

     of small impurities or degradation compounds in a purified material and in

     this method the response factor for each component is identified.

 

 

b) External Standard method

            This method includes injection of both standard and unknown, and

     the unknown is determined graphically from a calibration plot or

     numerically using response factors.

 

A response factor (RF) can be determined for each standard as follows.

 

                 RF = Standard area (peak height) / Standard Concentration

 

The external standard approach for most samples in HPLC that do not require

extensive sample preparation.

 

c) Internal Standard method

 

           Internal standard is a different component from the analyte but one

that is well resolved in the separation. The internal standard should be chosen

to mimic the behavior of the sample component. One of the main reasons for

using an internal standard is for samples requiring significant pre treatment or

preparation.

 

d) Method of standard addition

            The method of standard addition can be used to provide a

     calibration plot for quantitative analysis. It is more often used in trace

     analysis.

            An important aspect of the method of standard addition is that the

     response prior spiking additional analytes should be high enough to

     provide a reasonable S/N ratio (<10), otherwise the result will have poor

     precision. (Vogel’s 2003).

 

 

                                        9

VALIDATION

 

 

        Validation is a key process for effective quality assurance. “Validation

is established documented evidence, which provides specific a high degree of

assurance that a process of equipment will consistently produce a product or

result meeting its predetermined specifications and quality attributes”.

 

 

 

Definition

 

          USFDA defines validation as “established documented evidence

which provides a high degree of assurance that a specific process will

consistently produce a product of predetermined specifications and quality

attributes”.

 

 

           EUGMP defines validation as “action of proving in accordance with

the principle of Good manufacturing practice (GMP), that any material activity

or system actually lead to expected result”.

 

 

          AUSTRALIAN GMP defines validation as “the action of proving

that any material, process, procedure, system, equipment or mechanism used in

manufacture or control can and will be reliable and achieve the desire and

intended result”.

 

Importance of validation

 

   1. As the quality of the product cannot be always assured by routine

       quality

       control because of testing of statistically insignificant number of sample.

   2. The validation should provide adequacy and reliability of a system or

       product to meet the predetermined criteria or attributes, providing high

       degree of confidence that the same level of quality is consistently build

       into each of finished product from batch to batch.

 

                                       10

3. Retrospective validation is useful for trend comparison or results

       complaints to cGMP to cGLP.

   4. For taking appropriate action in case of non-compliance.

 

 

 

Objectives of validation

 

          The primary objective of validation is to form a basis for written

procedure for production and process control which are designed to assure that

the drug products have the identity, quality and purity they purport or are

represented to possess.

 

                1. Assurance of quality.

                2. Government regulation.

 

 

 

Types of validation

 

The following are frequently required to be validated on a pharmaceutical

process

 

            1. Equipment validation

            2. Process validation

            3. Cleaning validation

            4. Analytical method validation

            5. Facility validation including utilities

 

 

 

ANALYTICAL METHOD VALIDATION

 

            Method validation is a process to confirm that the analytical

procedure employed for a specific test is suitable for its intended use.

Analytical testing of a pharmaceutical product is necessary to ensure the purity,

stability, safety and efficacy. Analytical method validation is an integral part of

the quality control system.

 

 

 

 

                                         11

PARAMETERS USED FOR ASSAY VALIDATION

 

The validations of the assay procedure are carried out using following

parameters.

 

SPECIFICITY:

          Specificity is the ability to asses unequivocally analyte in the

presence of impurities, degradants, matrix, etc which may be expected to be

present. Lack of specificity of an individual analytical procedure may be

compensated by other supporting analytical procedures.

 

PRECISION:

 

Definition

 

          The precision of an analytical procedure express the closeness of the

agreement between a series of measurements obtained from multiple sampling

of the same homogenous sample under the prescribed conditions. The precision

of an analytical procedure is usually expressed as the variance, standard

deviation or co-efficient of variation of a series measurement.

 

System precision

 

          A system precision is evaluated by measuring the peak response for

the six replicable injection of the same standard solution prepared as per the

proposed method .The %RSD is calculated and it should not be more than 2%.

 

Method precision

 

              A method precision is evaluated by measuring the peak response

for six replicate injection of six different weigh of sample solution prepared as

per proposed method. The %RSD is calculated and it should not be more than

2%.

 

 

 

 

                                       12

Determination

 

          The precision of an analytical method is determined by assaying a

sufficient number of aliquots of a homogenous sample to be able to calculate

statistically valid estimates of standard deviation or relative standard deviation.

 

ICH Requirements

 

           The ICH documents recommended that repeatability should be

assessed using a minimum number of nine determinations covering the

specified range of the procedure (I, e., three concentrations and there replicates

of each concentrations or using a minimum of six determinations at 100% of

the test concentration).

 

ACCURACY

 

Definition

 

         The accuracy of an analytical procedure express the closeness of the

agreement between the values which is acceptable either as conventional true

value or an accepted reference value and the value found.

 

Determination

 

         In case of assay of drug in a formulated product ,accuracy may be

determined by application of the analytical method to synthetic mixtures of the

drug product components to which the known amount of analyte have been

added within the range of the method . If it is not possible to obtain all product

components ,it may be acceptable either to add known quantities of the analyte

to the drug product or to compare results with those of a second ,well

characterized method ,the accuracy of which has been stated or defined

.Accuracy studies for drug substance and drug product are recommended to be

performed at the 80,100 and 120% level of label claim as stated in the

guidelines for submitting samples and analytical data for method validation .At

each recommended level studied ,replicate samples are evaluated. The RSD of

the replicates will provide the analysis variation or how precise the test method

 

 

                                        13

is. The mean of the replicates, expressed as %label claim, indicates how

accurate the test method is.

 

ICH Requirements

 

            The ICH documents recommended that accuracy should be assessed

using a minimum of nine determinations over a minimum of three

concentration levels, covering the specified range (i.e., three concentration and

three replicates of each concentration).

 

LINEARITY

 

Definition

 

        The linearity of an analytical procedure is its ability (with in a given

range) to obtain the test results which are directly proportional to the

concentration (amount) of analyte in the sample.

 

Determination

 

        Linearity of an analytical procedure is established minimum of five

concentrations. It is established initially by visual examination of plot of

signals as a function of analyte concentration of content .If there appears to be

a linear relationship ,test results are established by appropriate statistical

methods(i.e., by calculation of the regression line by the method of least

squares).

 

 

 

 

                                           14

LIMIT OF DETECTION (LOD)

 

Definition

 

      LOD is the lower concentration of the substance that the method can

detect but not necessarily quantify.LOD simply indicates that the sample below

or above a certain level.

 

Determination

 

     For non instrumental methods, the detection limit is generally determined

by the analysis of samples with known concentration of analyte and by

establishing the minimum level at which the analyte can be reliably detected.

 

ICH Requirements

 

         The ICH describes a common approach, which is to compare

measured signal from samples with known concentrations of analyte with those

of blank samples. The minimum concentration at which the analyte can reliably

be detected is established.

 

       Typically acceptable signal-to-noise ratios are 2:1 or 3:1.

 

LIMIT OF QUANTITATION (LOQ)

 

Definition

 

         LOQ is the lowest concentration of the substance that can be estimated

quantitatively with acceptable precision, accuracy and reliability by the

proposed method. LOQ is determined by the analysis of samples containing

decreasing known quantity of the substance and determining the lowest level at

which acceptable level of accuracy and precision is attained.

 

Determination

 

        For non-instrumental methods, quantization limit is generally

determined by the analysis of samples with known concentration of analyte and

by establishing the minimum level at which the analyte can be determined with

acceptable accuracy and precision.

                                       15

RANGE

 

Definition

 

         The range of an analytical procedure is the interval between the upper

and the lower concentration (amounts) of analyte in the sample (including these

concentrations) for which it has been demonstrated that the analytical

procedure has a suitable level of precision, accuracy and linearity.

 

Determination

 

         The range of the method is validated by verifying that the analytical

method provides acceptable precision, accuracy and linearity when applied to

samples containing analyte at the extremes of the range as well as within the

range.

 

ROBUSTNESS

 

Definition

 

         The robustness of an analytical procedure is a measure of its capacity

to remain unchanged by small but deliberately variations in method parameters

and provides an indication of its reliability during normal usage.

 

Determination

 

         The robustness of method determined by performing the assay by

deliberately altering parameters(change in flow rate ±10%,change in mobile

phase ratio ±2,change in pH of mobile phase ±0.2,change in wave length

detection ±5nm, change in temperature ±1 to 50 ) that the results are not

influence by the changes in the above parameters.

 

 

 

 

                                        16

RUGGEDNESS

 

Definition

 

       The ruggedness of an analytical method is the degree of reproducibility

of test results obtained by the analysis of the samples under a variety of

conditions, such as different laborites, different analyst, different instruments,

different lots of reagents, different elapsed assay times, different assay

temperatures, different days etc.

 

Determination

 

        The ruggedness of analytical method is determined by the analysis of

aliquots from homogenous lots in different laboratories, by different analysis,

using operational and environmental condition that may differ but are still

within the specified parameters of the assay .The degree of reproducibility of

the results is that determined as a function of assay variables. This

reproducibility may be compared to the precision of assay under normal

condition to obtain a measure of the ruggedness of the analytical method.

 

 

 

 

SAMPLE SOLUTION STABILITY

 

       Solution stability of the drug substance or drug product after

preparation according to the test method should be evaluated. Most laboratories

utilize auto samples with overnight runs and the sample will be in solution for

hours in the laboratory environment before the rest procedure is completed.

This is concern especially for drugs that can undergo degradation by

hydrolysis, photolysis, and adhesion to glassware.

 

SYSTEM SUITABILITY SPECIFICATION AND TESTS

 

       The accuracy and precision of HPLC data collected begin with a well

behaved chromatographic system. The system suitability specifications and

tests are parameters that provide assistance in achieving this purpose.

 

 

 

                                       17

It consists of following factors:

 

              1. Capacity factor

              2. Precision\Injection repeatability

              3. Relative retention

              4. Resolution

              5. Tailing factor

              6. Theoretical plate number

   1. Capacity factor (K’)

 

                                  K’ = (tR-tO/tf)

 

       The capacity factor is a measure of where the peak of interest is located

with respect to the void volume i.e., elution time of the non retained

components.

 

 

 

 

2. Precision/Injection repeatability (RSD)

 

              Injection precision expressed as RSD (relative standard deviation)

indicates the performance of the HPLC which includes the pumping, column

and the environmental conditions, at the time the samples are analyzed .It

should be noted that sample preparation and manufacturing variations are not

considered.

 

3. Relative retention (α)

 

                              α = K’1/K’2

 

           Relative retention is a measure of the relative location of two peaks.

This is not an essential parameter as long as the resolution (Rs) is stated.

 

4. Resolution (Rs)

 

                            Rs = (tR2-tR1)/(1/2)(tw1+tw2)

 

 

 

 

                                          18

Rs is a measure of how well two peaks are separated. For reliable

quantitation well separated peaks are essential for quantitation. This is a very

useful parameter if potential inference peaks (s) may be concern.

 

5. Tailing factor

 

                        T = Wx/2f

 

           The accuracy of quantitation decreases with increases in peak

tailing because of the difficulties encountered by the integrator in determine

where/when the peak ends and hence the calculation of the area under the peak.

Integrator variables are present by the analyst for optimum calculation of the

area for the peak of interest. If the integrator is unable to determine exactly

when an upslope for down slope occurs, accuracy drops.

 

6. Theoretical plate number (N)

 

                              N = 16(tR/tw) 2 = L/H

 

                    Theoretical plate number is a measure of column efficiency,

that is, how many peaks can be located per unit run-time of the chromatograph.

 

         N- Constant for each peak on the chromatogram with a fixed set of

operating conditions.

 

         H- Height equivalent of a theoretical plate.

 

         L- Length of column.

 

 

 

 

                                       19

LITERATURE REVIEW

 

      K.S. LAKSHMI et al., (2009) have been developed a simple, sensitive

and rapid reverse phase high performance liquid chromatographic method was

developed for the estimation of Metformin Hcl (MET) and Pioglitazone (PIO)

in pure and in pharmaceutical dosage forms. A Gemini C18 column

(150×4.6mm, 5μ) was used with a mobile phase containing a mixture of

Acetonitrile and Ammonium Acetate buffer (pH-3) in the ratio of 42: 58. The

flow rate was 0.3ml/min and effluents were monitored at 255nm and eluted at

5.17min (MET) and 8.1min (PIO). Calibration curve was plotted with a range

from 0.5-50 μg/ml for MET and 0.3-30 μg/ml for PIO. The assay was validated

for the parameters like accuracy, precision, robustness and system suitability

parameters. The proposed method can be useful in the routine analysis for the

determination on metformin and pioglitazone in pharmaceutical dosage forms.

 

      S Havele et al., (2010) have developed a simple, rapid, and precise

reversed-phase high-performance liquid chromatographic method for

simultaneous analysis of metformin hydrochloride, gliclazide, and pioglitazone

hydrochloride in a tablet dosage form has been developed and validated.

Chromatography was performed on a 25 cm × 4.6 mm i.d., 5-

column with 85:15 (v/v) methanol: 20 mM potassium dihydrogen phosphate

buffer as mobile phase at a flow rate of 1.2 ml/min. UV detection at 227 nm;

metformin hydrochloride, gliclazide, and pioglitazone hydrochloride were

eluted with retention times of 2.15, 3.787, and 4.57 min, respectively. The

method was validated in accordance with ICH guidelines. Validation revealed

the method is specific, rapid, accurate, precise, reliable, and reproducible.

Calibration plots were linear over the concentration ranges 50–

metformin hydrochloride, 3.0 – r gliclazide, and 2–

pioglitazone hydrochloride. Limits of detection were 0.20, 0.04, and 0.10

 

 

metformin hydrochloride, gliclazide, and pioglitazone hydrochloride,

respectively. The high recovery and low coefficients of variation confirm the

                                      20

suitability of the method for simultaneous analysis of the three drugs in tablets.

Statistical analysis proves that the method is suitable for the analysis of

metformin hydrochloride, gliclazide, and pioglitazone hydrochloride as a bulk

drug and in pharmaceutical formulation without any interference from the

excipients. It may be extended to study the degradation kinetics of three drugs

and also for its estimation in plasma and other biological fluids

 

 

 

       G Mubeen et al., (2010) have been developed a simple

Spectrophotometric method has been developed and validated for the

estimation of Metformin hydrochloride in bulk and in tablet formulation. The

primary amino group of Metformin hydrochloride was oxidized using

hydrogen peroxide to form a yellow chromogen , which is determined

spectrophotometrically at 400 nm. It obeyed Beer’s law in the range of 4-

26mcg/ml.The percentage recovery of the drug for the proposed method ranged

from 99-101.3% indicating no interference of the tablet excipients. The

proposed method was found to be accurate and precise for routine estimation of

Metformin hydrochloride in bulk and in tablet dosage forms.

 

       MARIA-CRISTINA RANETTI et al., (2009) have been developed a

simple HPLC method for the simultaneous determination of metformin (MTF)

and gliclazide (GCZ) in the presence of glibenclamide, in human plasma, for

the clinical monitoring of MTF and GCZ after oral administration or for

bioequivalence studies. Ion-pair separation followed by UV detection

performed on deproteinised plasma samples was chosen for the determination

of metformin and gliclazide.The mobile phase was acetonitrile: methanol

(1:1v/v) and sodium dodecylsulphate 5mM, pH=3.5 with H3PO4 85% and

gradient elution. The eluent was monitored at 236 nm. The calibration curve

was linear within the range of 0.05-5.00 μg/mL (r2=0.99, n=6). The lowest

limit of quantification (LLOQ) was 50 ng/mL for metformin and 49 ng/mL for

gliclazide.The proposed method was validated and proved to be adequate for

metformin and gliclazide clinical monitoring, bioavailability and

bioequivalence studies.

                                         21

DRUG PROFILE

 

METFORMIN HCL

 

           Structure

 

 

                  NH NH

  H3C

             N N NH2

                       H

             CH3

 

 

 

Molecular Formula : C14H11N5.HCL

 

Molecular weight : 165.62g/mol

 

IUPAC Name : :N,N-dimethylimidodicarbonimidic diamide

 

 

 

 

Solubility : Freely soluble in water; slightly soluble in

Ethanol;

 

 

 

 

Category : Anti -diabetic

 

Dose 25 to 100 mg

 

 

 

 

                                     22

Mechanism of action:

      Metformin improves hyperglycemia primarily through its suppression of

hepatic glucose production (hepatic gluconeogenesis. The “average” person

with type 2 diabetes has three times the normal rate of gluconeogenesis;

metformin treatment reduces this by over one third. Metformin activates AMP-

activated protein kinase (AMPK), a liver enzyme that plays an important role

in insulin signaling, whole body energy balance, and the metabolism of glucose

and fats, activation of AMPK is required for metformin’s inhibitory effect on

the production of glucose by liver cells. Research published in 2008 further

elucidated metformin’s mechanism of action, showing activation of AMPK is

required for an increase in the expression of SHP, which in turn inhibits the

expression of the hepatic gluconeogenic genes PEPCK and Glc-6-Pase.

Metformin is frequently used in research along with AICAR as an AMPK

agonist. The mechanism by which biguanides increase the activity of AMPK

remains uncertain; however, research suggests that metformin increases the

amount of cytosolic AMP (as opposed to a change in total AMP or total

AMP/ATP.

Adverse effects:

      The most common adverse effect of metformin is gastrointestinal

upset, including diarrhea, cramps, nausea, vomiting and increased flatulence;

metformin is more commonly associated with gastrointestinal side effects than

most other antidiabetic drugs.

 

 

 

 

                                     23

SITAGLIPTIN

 

                                                F F

 

                                                            F

                   F N

                                                        N

                                       N N

 

                         NH 2 O

             F

 

Structure: F

 

 

 

 

Molecular formulae : C16H15F6N5O

 

Molecular Weight : 407.314

 

IUPAC Name : (R)-4-oxo-4-[3-(trifluoromethyl)-5,6

 

                          dihydro[1,2,4]triazolo[4,3-a]pyrazin

 

                          7(8H)-yl]-1-(2,4,5-)butan-2-amine.

 

 

 

 

Category : Antidabetic

 

Dose : 25 to 100 mg.

 

 

 

 

Solubility : Soluble in water and N,N Dimethyl formamide;

 

Storage : Store in well-closed containers.

 

 

 

 

                                  24

PHARMACOLOGY:

 

Mechanism of action:

 

       Sitagliptin works to inhibit the enzyme dipeptidyl peptidase 4 (DPP-4).

This enzyme breaks down the incretins GLP-land GIP, gastrointestinal

hormones released in response to a measure. By preventing GLP-1 and GIP

inactivation, they are able to potentiate the secretion of insulin and suppress the

release of glucagon by the pancreas. This drives blood glucose levels towards

normal. As the blood glucose level approaches normal, the amounts of insulin

released and glucagon suppressed diminishes, thus tending to prevent an

“overshoot” and subsequent low blood sugar (hypoglycemia) which is seen

with some other oral hypoglycemic agents

Side effects:

       The most common side effects of sitagliptin are abdominal pain, nausea

diarrhea, vomiting and hypoglycemia. Lactic acidosis is a serious side effect of

metformin that occurs in one out of every 30,000 patients and is fatal in 50% of

cases. The symptoms of lactic acidosis are weakness, trouble breathing,

abnormal heartbeats, unusual muscle pain stomach discomfort, light-

headedness and feeling cold. Patients at risk for lactic acidosis include those

with reduced function of the kidneys or liver, congestive heart failure severe

acute illnesses, and dehydration.

 

 

 

 

                                        25

AIM AND PLAN OF WORK

 

     The drug analysis is playing an important role in the development of

drugs, their manufacture and therapeutic use. For the simultaneous estimation

of drugs present in dosage forms , lot of suitable methods are adopted like uv –

spectrophotometer , HPLC , HPTLC etc .These methods are powerful and

rugged method .They are also extremely precise, specific, accurate, linear and

rapid.

 

         A pharmaceutical industry depends upon quantitative chemical analysis

to ensure that the raw material used and the final product obtained meets the

required specification. The drugs will occur as a single component or multi

component dosage forms. The later proves to be effective due to its combined

mode of action on the body.

 

     The number of drugs or drug formulations introduced into the market is

increasing at a fast rate .These may be either new entries in the market or

structural modification of the existing drugs or novel dosage forms or multi

component dosage forms .The complexity in the dosage forms, including that

of the multi component dosage forms creates considerable challenges to the

analytical chemist during the development of assay procedure for its accurate

estimation. The estimation of individual drugs in these multi component dosage

forms becomes difficult due to tedious extraction or isolation procedure.

 

     The combination of Metformin HCL and Sitagliptin was selected for the

present study.

 

     According to the literature survey conducted, it was observed that no

method was reported in RP-HPLC for the estimation of individual drug carried

out. Hence present study aims to develop an accurate, precise, specific, linear,

simple, rapid, validated and cost effective analytical method for Metformin

HCL and Sitagliptin in tablet dosage form by RP-HPLC method. The scope of

our work extends to validate for the developed method as per ICH guidelines.

 

 

 

 

                                       26

RP-HPLC method development was obtained as

 

         Selection and optimization of mobile phase and stationary phase.

         Selection of detector wavelength.

         Selection of extraction procedure.

         Optimization of chromatographic condition.

         Estimation of Metformin HCL and Sitagliptin

         Method validation.

 

                             MATERIALS AND METHODS

 

Instrumentation:

 

S.No. Name of instrument Model Make

1 Semi micro balance CPA225D Sartorius

 

2 pH meter Metler Toledo Thermo Orion

 

3 HPLC LC-20 AT Shimadzu

 

4 C 18 Column Phenomenex Gemini

 

5 Sonicator USB Spectro lab

 

6 UV 1700 series Shimadzu

 

 

 

Chemicals and reagents:

 

S.No. Chemicals/Reagents Make/grade

1 Glacial acetic acid Merck(HPLC Grade)

 

2 Dipotassium hydrogen phosphate Merck(GR Grade)

 

3 Methanol Merck(GR Grade)

 

4 water Merck(GR Grade)

 

 

 

 

                                    27

Working/Reference Standards:

 

S.No Name of Working/reference standards % Purity

1 Metformin HCL Working standard 99.65

2 Sitagliptin Working standard 99.61

 

 

 

Filters:

 

S

       Name of the filter

.No

1. 0.45 m GHP membrane filter(Manufactured by PALL)

 

 

 

                 METHOD DEVELOPMENT GUIDE

 

              Information on sample, define separation goals.

 

 

 

                 Need for special procedure, sample treatment.

 

 

 

 

                     Choose detector and detector settings.

 

 

 

 

Choose the method: preliminary run: estimate the best separation condition

 

 

 

 

                      Optimize separation conditions.

 

 

 

                       Validate the method.

 

 

 

 

                                      28

Table-1

 

 

 

Goal Comment

 

 

                  Precise and rugged quantitative analysis requires that Rs

Resolution

                  be greater than 1.5.

 

 

Separation time <5-10 min is desirable for routine procedures

 

 

                  ≤2% for assays ;≤5% for less demanding analysis

Quantitation

                  ≤15% for trace analyses.

 

 

                  <150 bar is desirable, <200 bar is usually essential (new

pressure

                  column assumed).

 

 

Peak height Narrow peaks are desirable for large signal /noise ratios.

 

 

Solvent

                  Minimum mobile-phase use per run is desirable.

consumption

 

 

 

 

                                    29

POLARITY OF COMMON ORGANIC FUNCTIONAL GROUPS AND

SOLVENTS

 

Functional Groups Non-Polar Solvent

 

Aliphatic hydrocarbons Hexane

 

Olefines Carbon tetrachloride

 

Aromatic hydrocarbons Ester

 

Halides Benzene

 

Sulphides Methyl chloride

 

Ethers THF

 

Nitro components Isopropanol

 

Esters, aldehydes, ketones Chloroform

 

Alcohols, amines Ethylacetate

 

Sulphones Acetonitrile

 

Sulphoxides Methanol

 

Amides Water

 

Carboxylic acids

 

                                Polar

 

 

 

 

                               30

OPTIMIZATION OF CHROMATOGRAPHIC CONDITIONS

 

1. Selection of wavelength for detection of components

 

         Solution of Metformin HCL and Sitagliptin were scanned in the UV

region and spectrum was recorded .The solvent used was 0.02M dipotassium

hydrogen phosphate,and acetonitrile in the ratio 55:45. It was seen that at

260nm all compounds have good absorbance, which can be used for the

estimation of compounds by HPLC.

 

 

 

 

2. Selection of chromatographic method

 

       Proper selection of the method depends on the nature of the sample

(ionic or ionisable or neutral molecules), its molecular weight, pka value and

stability .The drugs selected in the present study are polar and so reversed

phase or ion exchange chromatography can be used. The reverse phase HPLC

was selected for the initial separation because of its simplicity and suitability.

 

 

 

       For the literature survey and with knowledge of properties of the

selected drugs, Phenominex Gemini C18 (250 × 4.6mm) 5µ column was

chosen as stationary phase and mobile phase with different compositions such

as Acetonitrile was used. The separations were not observed so use of buffer

was finalized.

 

 

 

       For all the data observed, obtained and available the initial separation

condition were set to work around.

 

 

 

 

                                         31

3. Initial separation condition

 

      The following chromatographic conditions were fixed initially to

improve the separation of both drugs.

 

Instrument : Shimadzu prominence

 

Column : Phenomenex Gemini C18 (250 × 4.6mm), 5µ.

 

Column oven temperature : Ambient

 

Wavelength : 260nm

 

Flow rate : 1.2ml/min

 

Injection volume : 20µl

 

Run time : 10 min

 

Mobile phase : Solvent A – Buffer

 

                             Solvent B – Methanol

 

                             Solvent C – Acetonitrile

 

Solvent Ratio : 30:35:35% V/V of A: B: C

 

TRAILS

 

Trail-1

 

      The trail was performed using Mobile phase in the ratio 30:35:305using

Phenomenex C18 (250 x 4.6 mm, 5μ) with flow rate of 1.2ml/min.

 

      In this trail, the retention time ofMetformin HCL and Sitagliptin peak

was found to be 0.9, and 4.0 min respectively.

 

Trail-2

 

    The trail 2 was performed using Mobile phase in the ratio 30:40:30 using

Phenomenex C18 (250x 4.6 mm, 5μ) with flow rate of 1.2 ml/min.

 

 

 

                                        32

In this trail, the retention time of Metformin HCL and Sitagliptin peak

was found to be 0.7 and2.4 min. respectively.

 

Trail-3

 

        The trail 3 was performed using Mobile phase in the ratio 55:45of using

Phenomenex C18 (250 x 4.6 mm, 5 μ) with flow rate of 1 ml/min.

 

     In this trail, the retention time of Metformin HCL and Sitagliptin peak was

found to be 4.28and 7.485min respectively.

 

Trial-4:

        The trail 4 was performed using Mobile phase in the ratio of 40:40

:20using Phenomenex (250 x 4.6 mm, 5 μ) with flow rate of 1 ml/min.

 

        In this trail, only two peaks were shown at 2 and 3.2 min.

 

        Out of 4 trails made in the lab, the 3th trail was selected for further studies

because when compared to other trails, the 3th trail was found to be having less

retention time and within the acceptance criteria.

 

4. Effect of ratio of mobile phase

 

         Under the chromatographic conditions mentioned above the different

ratios of mobile phase were tried .The chromatograms where observed for each

of the trials, out of which 30: 35:35 i.e.; 30 Buffer: 35 Methanol: 35

Acetonitrile was selected as the separation was achieved in minimum retention

time.

 

5. Effect of pH of mobile phase

 

         Several trials were made using different buffer solutions of pH range

.The best separation was achieved when adjusted the pH to 4.5 with

orthophosphoric acid.

 

 

 

 

                                           33

6. Effect of flow rate on separation

 

       The mobile phase consisting of buffer: methanol: acetonitrile was used

and the chromatograms were recorded at flow rates of 1ml/min, 1.2ml/min. The

sharpest peaks were obtained with 1.5ml/min flow rate.

 

7. Effect of column (stationary phase) on separation

 

      At the chromatographic conditions of mixed solutions, combination of

Metformin HCL and Sitagliptin were injected and chromatograms were

obtained using C-18 columns.

 

8. Reference standards

 

    Keeping all other above fixed conditions, external standard was used.

 

9. Optimized condition

 

   The following optimized parameters were used in a final method for the

simultaneous estimation of Metformin HCL and Sitagliptin.

 

Instrument : Shimadzu Prominence

 

Column : Phenominex C18 (250 × 4.6mm), 5µ.

 

Column oven temperature : Ambient

 

Wavelength : 260nm

 

Flow rate : 1ml/min

 

Injection volume : 20µl

 

Run time : 10 min

 

Mobile phase : Solvent A – Buffer

 

                            Solvent B- Acetonitrile

 

Solvent Ratio : 55:45% V/V of A: B

 

 

 

                                       34

QUANTITATION

 

Samples obtained from local market.

 

Metformin HCL -500mg

 

Sitagliptin-50mg

 

 

 

 

Preparation of Dipotassium hydrogen phosphate buffer pH 4.5:

 

     Prepare about 0.02M dipotassium hydrogen phosphate in a suitable

conical flask and adjust the pH to 4.5 with orthophosphoric acid.(0.02M of di

potassiumhydrogen phosphate is prepared by taking 1.3602mg of

dipotassiumhydrogen phosphate in a volumetric flask , and make up to 1L with

water).

 

Preparation of mobile phase:

 

     Prepare a mixture of buffer 4.5 pH, and acetonitrile in the ratio 55:45

filter through 0.45µ membrane filter and degas it.

 

Diluent preparation: Buffer 4.5 pH, and acetonitrile in the ratio 55:45

 

 

 

 

Standard preparation:

 

          Weigh accurately about 50mg of Metformin, 50mg Sitagliptin

working standard to a 100ml volumetric flask.Dissolve it completely and

sonicate it. Make up to 100ml mobile phase. Take 3ml from the above flask

and make up to 50ml with mobile phase.

 

Sample preparation:

 

          Weigh accurately 20 tablets equivalent to 92.4mg to a 100ml

volumetric flask.mobile phase to dissolve it completely and sonicate for 10min

with intermediate shaking Make up to 100ml with mobile phase and filter

through 0.45µ GHP filter. Further dilute 3ml with 50ml mobile phase.

 

                                         35

Calculation:

 

        Determine the % amount of Metformin HCL and Sitagliptin

 

 in tablets according to the following formula.

 

                 AT ×W R × 3 × 100 × 50 × PR × Average Weight

 

%Assay = × 100

 

                 AR × 100 × 50 × WT × 3 × 100 × LA

 

Where,AT = Area in the test solution

 

AR = Area in the standard solution

 

WR = Weight of standard solution (mg)

 

WT = Weight of sample in test preparation (mg)

 

PR = Purity of working standard (%)

 

LA = Labeled amount of Metformin HCL and Sitagliptin per Tablets.

 

 

 

               VALIDATION OF THE DEVOLOPED METHOD

 

SPECIFICITY

 

      Specificity is the ability to measure accurately and specifically the

analyte of interest in the presence of other components that may be expected to

be present in the sample matrix. The other component may include excipients,

impurities, degradation product etc.

 

      Peak purity test may be useful to show that the analyte chromatographic

peak is not contributed by more than one component (e.g. .diode array, mass,

spectroscopy).

 

 

 

 

                                       36

Standard preparation:

 

                  Weigh accurately about 50mg of Metformin, 50mg

Sitagliptin working standard to a 100ml volumetric flask.Dissolve it completely

and sonicate it. Make up to 100ml mobile phase. Take 3ml from the above

flask and make up to 50ml with mobile phase.

 

                                           Table – 2

 

       Sample Metformin HCL Sitagliptin

 

                                  %Drug %Drug

                     Avg area Avg area

                                  Content Content

 

       Standard 352.914 440.46

 

         Sample 354.469 100.18 436.16 99.67

 

 

 

 

Acceptance Criteria:

 

       There is no interference in the standard peak.

 

LINEARITY:

 

     Linearity is the ability of the method to elicit test results that are directly

proportional to analyte concentration within a given range.

 

 

 

     Linearity is generally reported as the variance of the slope of the

regression line. Linearity should be evaluated by visual inspection of a plot of

signal as a function of analyte concentration. The correlation coefficient, y-

intercept, slope of the regression line and the residual sum of squares should be

calculated.

 

 

                                        37

Linearity of Metformin HCL and Sitagliptin

 

  Weigh accurately about 50mg of Metformin, 50mg Sitagliptin working

standard to a 100ml volumetric flask.Dissolve it completely and sonicate it.

Make up to 100ml mobile phase. Take 3ml from the above flask and make up

to 50ml with mobile phase.

 

                                    Table – 3

 

 

   LEVEL Metformin Sitagliptin

 

   80% 1773.542 164.743

 

   90% 1996.980 1848.657

 

            100% 2221.836 2053.140

 

   110% 2466.998 2251.260

 

            120% 2663.495 2478.061

   Y – intercept 1548 1430

   Slope 22.48 207.7

   Correlation

                         0.999 0.999

   Coefficient

 

 

 

Linearity Graph

 

RANGE:

 

        Range is the interval between the upper and the lower levels of analyte

that have been demonstrated to be determined with precision, accuracy and

linearity using the method.

 

        The range is normally expressed in the same unit as the test results

obtained by the method. The ICH guideline specify a minimum of five

 

 

 

                                       38

concentration levels, along with certain minimum specified ranges .For assay

tests the minimum specified range is 80 – 120%of the target concentration .

 

Preparation of working standard solution

 

         To get a concentration of 80%, 100%, 120%, of drug, pipette out 4ml,

5ml, 6ml, of mixed standard stock solution into separate 100ml volumetric

flask and volume is made up with mobile phase. Further dilute 3ml of the

solution to 100ml of mobile phase.

 

Acceptance Criteria:

 

           The %RSD for the individual recoveries of each level and mean

              recovery should not be more than 2.0%.

           The % recovery at each level and mean recovery should be in

              between 98.0% to 102.0%.

 

LIMIT OF DETECTION (LOD)

 

           The limit of detection (LOD) is defined as the lowest concentration

of an analyte in a sample that can be detected, though not necessarily

quantitated. It is a limit test that specifies whether or not an analyte is above or

below a certain value.

 

        ICH has recommended some method for determining the limit of

detection. The method may be either instrumental or non-instrumental. They

are

 

      ï‚· Visual Evaluation

      ï‚· Signal – to – Noise ratio convention

      ï‚· Based on Standard deviation of the response and the slope of

         calibration curve

 

 

 

      Limit of detection (LOD) based on standard deviation of the response and

the slope of calibration curve.

 

 

                                        39

3.3 s

 

                            LOD =

 

                                       S

 

Where

 

        s = Standard deviation of the response

 

        S = Slope of calibration curve

 

 

 

 

                                   Table – 4

 

Limit of detection study:

 

 

 

 

LOD Metformin HCL:(µg) Sitagliptin(µg)

 

1. 1.05 7.12

 

 

 

LIMIT OF QUANTITATION (LOQ)

 

        The limit of Quantitation (LOQ) is defined as the lowest concentration

of the analyte in a sample that can be determined with acceptable precision and

accuracy under the stated operational conditions of the method.

 

         Limit of Quantitation (LOQ) is also based on standard deviation of

the response and the slope of calibration curve.

 

                                                  10 s

 

                                 LOQ =

 

                                              S

 

          Where,

 

 

                                         40

s = Standard deviation of the response

 

                  S = Slope of calibration curve

 

                         Table – 5

 

Limit of Quantitation study:

 

LOQ Metformin HCL(µg) Sitagliptin(µg)

 

1. 5.6 3.5

 

 

 

PRECISION

 

          Precision is the measure of the degree of repeatability of an analyte

method under normal operation and is normally expressed as percent relative

standard deviation for a significant number of the samples.

 

               According to the ICH precision should be performed at three

different levels: Repeatability, Intermediate precision, Reproducibility

 

System precision

 

        The system precision was evaluated by measuring the peak response of

Metformin HCL and Sitagliptin Hydrochlorothiazide, WS solution prepared as

per the proposed method and chromatograms were recorded.

 

 

 

 

Determination

 

                              Weigh accurately about 50mg of Metformin,

50mg Sitagliptin working standard to a 100ml volumetric flask.Dissolve it

completely and sonicate it. Make up to 100ml mobile phase. Take 3ml from the

above flask and make up to 50ml with mobile phase.

 

 

 

 

                                       41

s.no Metformin Sitagliptin

 

1 2051.31 2218.08

 

 

 

 

2 2061.14 2228.22

 

3 2047.51 2230.72

 

4 2055.83 2229.53

 

5 2043.94 2212.8

 

6. 2039.57 2217.84

 

AVG 2049.88 2222.86

 

STD/%RSD 0.33/0.33 0.37/0.38

 

 

 

 

Method Precision

 

     Weigh accurately 20 tablets equivalent to 92.4mg to a 100ml volumetric

flask.mobile phase to dissolve it completely and sonicate for 10min with

intermediate shaking Make up to 100ml with mobile phase and filter through

0.45µ GHP filter. Further dilute 3ml with 50ml mobile phase.

 

                                  Table – 6

 

Method Precision for Metformin HCL:

 

 

 

       Sample. No % Assay

       Sample Preparation – 1 100.14

 

       Sample Preparation – 2 100.1.8

 

       Sample Preparation – 3 100.71

 

       Sample Preparation – 4 100.76

 

 

                                       42

Sample Preparation – 5 100.51

 

     Sample Preparation – 6 100.56

 

     Avg 100.76

 

      SD 0.688

     % RSD 0.70

 

 

 

                                 Table – 7

 

Method Precision for Sitagliptin:

 

 

 

            Sample. No % Assay

            Sample Preparation – 1 97.67

            Sample Preparation – 2 98.60

            Sample Preparation – 3 97.62

            Sample Preparation – 4 98.65

            Sample Preparation – 5 97.20

            Sample Preparation – 6 97.24

            Avg 97.80

             SD 0.712

            % RSD 0.730

 

 

 

Acceptance Criteria:

 

   ïƒ˜ The % RSD for the individual recoveries of each level and mean

      recovery should not be more than 2 %.

   ïƒ˜ The % recovery at each level and mean recovery should be in between

      98.0% to 102%.

 

 

 

 

                                     43

ACCURACY

 

      Accuracy is the measure of exactness of an analytical method, or the

closeness of agreement between the measured value and the value that is

accepted either as a conventional, true value or an accepted reference value.

 

      The accuracy may be determined by application of analytical method to

an analyte of known purity (example: reference standard) and also by

comparing the results of the method those obtained using an alternative

procedure that has been already validated.

 

      To document accuracy, the ICH guideline on methodology recommends

collecting data from a minimum of nine determinations over a minimum of

three concentration levels covering the specified range.

 

Result: Refer range of calculations.

 

Preparation of working standard solution

 

        To get a concentration of 80%, 100%, 120% of drug, pipette out 4ml,

5ml, 6ml, of mixed standard stock solution into separate 100ml volumetric

flask and volume is made with mobile phase. Further dilute 3ml this solution to

50ml with mobile phase.

 

 

 

 

                                       44

Recovery values of Sitagliptin

 

Table 8

 

                                  Amount

 Concentration Avg Area % Recovery

                                  Recovery

 

 80 1679.874 3.96 99.78

 

 100 2086.258 4.96 99.24

 

 120 2565.329 6.08 101.18

 

                                  Mean 100.06

 

                                  SD 0.79

 

                                  %RSD 0.79

 

 

 

 

                                  Table – 9

 

Recovery values of Metformin

 

                                       Amount

      Concentration Avg Area % Recovery

                                       Recovery

 

      80 1777.467 39.89 99.93

 

      100 2210.760 49.50 99.05

 

      120 2694.174 59.99 100.03

 

                                       Mean 99.66

 

                                       SD 0.44

 

                                       %RSD 0.44

 

 

 

 

                                     45

Acceptance Criteria:

 

   ïƒ˜ The % RSD for the individual recoveries of each level and mean

       recovery should not be more than 2 %.

   ïƒ˜ The % recovery at each level and mean recovery should be in between

       98.0% to 102%.

 

 

 

ROBUSTNESS

 

       Robustness is the capacity of a method to remain unaffected by small

deliberate variations in method parameters.

 

 

 

       The robustness of a method is evaluated by varying method parameters

such as percent organic solvent, pH, ionic strength or temperature and

determining the effect on the results of the method. Robustness tests were

generally introduced to avoid problems in linear laboratory studies and to

identify the potentially responsible factors.

 

Determination of robustness

 

    Robustness was performed by varying the

 

                  – PH

                  – Flow rate

 

 

 

Table – 10

 

Robustness study for Metformin HCL and Sitagliptin:

 

                                          RT of RT of

       Robustness Criteria

                                          Metformin Sitagliptin

       Change in flow +0.2 3.707 6.100

       Change in flow -0.2 4.790 7.560

 

 

                                        46

Change in wavelength by -PH 4.27 7.44

 

       Change in wavelength by + PH 4.28 7.48

 

 

 

Acceptance Criteria:

 

   ïƒ˜ Shall comply the system suitability parameters.

   ïƒ˜ Measured variation to be reported with appropriate recommendations

 

RUGGEDNESS

 

        Ruggedness of analytical method is the degree of reproducibility of the

results obtained by the analysis of the same samples under a variety of test

conditions such as different laboratories, analysts, instruments, temperature,

different days etc.

 

 

 

 

Determination of Ruggedness

 

        The Ruggedness of an analytical method was determined by the

analysis of aliquots from homogenous lots in different laboratories by different

analysts using operational and environmental condition that may differ but are

still within the specified parameters of the assay. The degree of reproducibility

of the results is then determined as a function of assay variables. This

reproducibility may be compared to the precision of assay under normal

condition to obtain a measure of the ruggedness of the analytical method.

 

 

 

          To determine the degree of reproducibility of the results by this

method involved the studies of the analyst to analyst and day to day; that is to

carry out precision study in six replicate of an assay of a single batch sample by

two different analysts on two different days.

 

 

 

 

                                       47

Ruggedness Interday Analysis Study 🙁 Table –11 )

 

                              % Assay of % Assay of

          Sample. No

                              Metformin HCL Sitagliptin

          Analyst – 1 98.9 102.0

 

          Analyst – 2 99.2 100.1

 

          Analyst – 3 99.7 101.4

          Analyst – 4 99.6 101.3

 

 

Acceptance Criteria:

 

   ïƒ˜ The % recovery at each level and mean recovery should be in between

       98.0% to 102%.

 

SYSTEM SUITABILITY

 

     To verify whether the analytical system is working properly or it can give

accurate and precise results, the system suitability parameters are to be set.

 

Inject separately 20 L each of the following solutions into the HPLC.

 

Standard preparation:

 

                             Weigh accurately about 50mg of Metformin,

50mg Sitagliptin working standard to a 100ml volumetric flask.Dissolve it

completely and sonicate it. Make up to 100ml mobile phase. Take 3ml from the

above flask and make up to 50ml with mobile phase.

 

 

 

 

                                        48

Table – 12

 

         System

         suitability Metformin HCL Sitagliptin

         parameters

         Tailing factor 1.056 1.000

         No. of

         theoretical 9226 11340

         plates

         Resolution – 13.861

 

 

 

Acceptance criteria as follows:

 

In the chromatogram obtained with Standard,

 

   ïƒ˜ The % RSD of area of Metformin HCL and Sitagliptin in replicate

      injections of standard solution should not be more than 2.0.

   ïƒ˜ The tailing factor of Metformin HCL and Sitagliptinpeak should not be

      more than 2.0

   ïƒ˜ The theoretical plates of Metformin HCL and Sitagliptin peak should be

      more than 2000.

 

 

 

 

                                       49

50

51

52

53

54

55

56

57

58

59

60

61

62

63

64

65

66

67

68

69

70

71

72

73

74

75

76

77

RESULT AND DISCUSSION

 

 

 

      The working condition for the RP-HPLC method was established for

Metformin HCL and Sitagliptin then was applied on pharmaceutical dosage

forms. A simple reverse phase liquid chromatographic method has been

developed and subsequently validated.

 

      The separation method was carried out by using a mobile phase

consisting of 0.02M dipotassium hydrogen phosphate and acetonitrile in the

ratio 55:45.the detection was carried out by using UV – Visible SPD 20 A at

240nm.The column was phenominex Gemini C18 (250×4.6mm×5µ).The flow

rate was selected as 1ml/min.

 

      The retention time of Metformin HCL and Sitagliptin was found to be

4.285 and 7.485 respectively. The asymmetry factor or tailing 1.008 and

1.011respectively, which indicates symmetrical nature of the peak. The number

of theoretical plates of Metformin HCL and Sitagliptin was found to be 8840

and 12044 respectively, which indicates the efficiency performance of the

column.

 

      From the linearity studies, specified concentration levels were

determined .It was observed that Metformin HCL and Sitagliptin was linear in

the range of 80% to 120% for the target concentration .The linearity range of

10-50mg/ml for Metformin HCL and Sitagliptin were found to obey linearity

with a correlation coefficient of 0.999 and 0.999 respectively.

 

            The validation of proposed method was verified by recovery

studies. The percentage recovery range was found to be satisfied which

represent in results. The robustness studies were performed by changing the pH

and wavelength. The ruggedness study was also performed.

 

     The analytical method validation was carried as per ICH guidelines and

given below are the tables are the summary of the result.

 

 

 

                                        78

PASSES/

S.No PARAMETERS LIMIT OBSERVATIONS

                                                                   FAILS

 

                        No Interferences at No Interference at

1 Specificity retention time of retention time of the Passes

                        the analyte peak. analyte peak

 

    System Metforminn:0.3397%

2 RSD NMT 2.0% Passes

    Precision Sitagliptin:0.385

 

                                              Metforminn:0.46%

    Method

3 RSD NMD 2.0% Sitagliptin:0.25% Passes

    Precision

 

 

                      Correlation co- Metforminn:0.999

4 Linearity of

                      efficient NLT Passes

    detector response Sitagliptin:0.999

                      0.999

 

                                         Metforminn:99.59-

5 % Recovery range 100.71%

    Accuracy Passes

                        98-102% Sitagliptin:99.11-

                                              101.18%

 

6 % Recovery range

    Ruggedness Within limits Passes

                        98-102%

 

7 Robustness RSD NMT 2.0% Within limits Passes

 

                                           Metforminn

    Limit of

8 detection Based on SD of the :1.052µg/ml

                                                                   Passes

                        Response and slope Sitagliptin:7.10µg/ml

    (LOD)

 

    Limit

                        Based on SD of the Metforminn :5.7µg/ml

9 quantitation passes

                        Response and slope Sitagliptin 3.4µg/ml

    (LOQ)

 

 

 

 

                                         79

SUMMARY AND CONCLUSION

 

      RP-HPLC method was developed. It was validated for the estimation of

Metformin HCL and Sitagliptin in tablet dosage form using HPLC Shimadzu

Prominence with UV-Visible SPD 20A Detector and Phenominex C18

(250×4.6mm, 5µ) column, injection of 20 µl is injected and eluted with the

mobile phase of dipotassium hydrogen phosphate buffer, and acetonitrile in the

ratio 55:45, which was pumped at a flow rate of 1ml at 260 nm. The peak of

Metformin HCL and Sitagliptin are found well separated at 4.285 and 7.485

respectively. The developed method was validated for various parameters as

per ICH guidelines like Accuracy, Precision, Linearity, Specificity,

Ruggedness, Robustness, LOQ and LOD.

 

      The analytical method validation of Metformin HCL and Sitagliptin by

RP HPLC method was found to be satisfactory and could be used for the

routine pharmaceutical analysis of Metformin HCL and Sitagliptin .

 

 

 

 

                                     80

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