- *Corresponding Author:
- D. M. Patil
Analytical Development Division, Sun Pharma Advanced Research Company Limited, Tandalja, Vadodara-390 020, India
E-mail: dilippatil@sunpharma.com
Date of Submission | 13 March 2009 |
Date of Revision | 27 August 2009 |
Date of Acceptance | 28 November 2009 |
Indian J Pharm Sci, 2009, 71 (6): 679-684 |
Abstract
The assay on anhydrous basis is a mathematically derived value from an experimental results of assay and water content tests. The results of assay and water content tests are determined, separately, on as-is basis. The industry-accepted formula for assay on anhydrous basis = (assay on as-is basis×100)/(100-%water). Statistically, the two variables involved in accepted formula are assay on as-is basis and water to obtain assay on anhydrous basis. The experimental errors associated with these two variables propagate in assay on anhydrous basis. The error propagates either in constructive or destructive mode. The constructive mode of error propagation is combination of positive error of assay on as-is basis and positive error of water or negative error of assay on as-is basis and negative error of water. The constructive mode of error propagation has more impact on assay on anhydrous basis values and its confidence interval. The destructive mode of error propagation is combination of a positive error of assay on as-is basis and a negative error of water or vice versa. The destructive mode of error propagation has lesser impact on assay on anhydrous basis values and its confidence interval in comparison to the constructive mode of error propagation. In accepted formula said above, the constructive or destructive error propagation causes unrealistic drift of assay on anhydrous basis towards either lower or higher side of content limit of substance. The risk of rejection of pharmaceutical use substance is higher based on assay test results that results are calculated from industry-accepted formula. The purpose of the study is to propose an alternative formula to overcome limitations of accepted formula and justify the propagation of errors in realistic way. We have given three examples of pharmaceutical use substances to emphasise the above proposition. The proposed formula for assay on anhydrous basis= (assay on as-is basis×F)/(F-%water) in which F is sum of experimental results of assay and water content tests experimentally determined, separately, on as-is basis.
Keywords
Assay on as-is basis, assay on anhydrous basis, propagation of errors, standard deviation
The content limit for assay test in almost all monograms of pharmaceutical use substance in several pharmacopeias is defined on anhydrous basis. In routine analytical practices, the assay test of pharmaceutical use substance is being performed without rendering to anhydrous state. The result of assay test is termed as assay on as-is basis. The water present in a pharmaceutical use substance is not considered as an impurity and hence the result of water content test is accounted in the result of assay on as-is basis. The water is accounted in assay on as-is basis mathematically by using industry-accepted formula for assay on anhydrous basis. The industry-accepted formula is written as (assay on as-is basis×100)/(100-%water) and out come of formula is termed as assay on anhydrous basis [1].
The basis for industry-accepted formula is a chemical mass balance method. According to chemical mass balance method, % total theoretical mass of chemical substances present in a mixture is 100. For example, the theoretical weight percentage of sodium citrate dihydrate is sum of weight percentage of sodium citrate (87.8%) and weight percentage of water content (12.2%). In industry-accepted formula, it is assumed that sum of content of % sodium citrate (AAI) and % water content (W) is equal to 100 [2]. The theoretical mass balance equation is written as AAI+W=100 (Eqn.1), where AAI is assay on as-is basis and W is water. Usually, the experimental values of AAI and W are deviated to either positive or negative side from theoretical values. The deviation of AAI and W from theoretical value is considered as error (E). The experimental value of AAI and W is denoted as AAI±E_{AAI} and W±E_{W}. The Eqn.1 is modified for experimental value of AAI and W as (AAI±E_{AAI})+(W± E_{W})= 100 (Eqn. 2). Mathematically the path followed for propagation of error in industry-accepted formula for assay on anhydrous basis is given as (AAI×100)/(100-W)= 100± [(E_{AAI}±E_{W})×100/ (100-W)](Eqn.3). The value AoA_{a} cannot be 100% in Eqn. 3 because the term (E_{AAI}+E_{W}) is never zero. In alternate formula, assay on anhydrous is calculated by substituting 100 by ‘Φ’ in industry-accepted formula and ‘Φ’ is sum of experimental results of assay and water content tests determined. Mathematically the path followed for propagation of error to assay on anhydrous basis in alternate formula is [AAI×Φ]÷[Φ- W]=100± [E_{AAI}+E_{W}] (Eqn.4). The value AoA_{p}, in Equ.4, is function of sum of errors associated with assay and water content only.
The assay on anhydrous basis calculated using industry-accepted and alternate formula is denoted as AoA_{a} and AoA_{p}, respectively. The drift (ΔAoA) is a deviation of AoA value from 100 i.e. ΔAoA= |100-AoA|. The ΔAoA for industry accepted and alternate formula are denoted as ΔAoA_{a} and ΔAoA_{p}, respectively. The relation between ΔAoA_{p}, ΔAoA_{a} and water is ΔAoA_{a}=ΔAoA_{p}× [100/(100-W)] (Eqn.5). It is clear from Eqn.3 that the unrealistic propagation of errors in AoA_{a} calculation is not being considered in setting assay limit [3].
Almost all substances of pharmaceutical use described in pharmacopeias have water content below 30% w/w. The substances containing water from 5% to 30% is grouped in level six for simulated model-1 preparation and difference in water between two successive levels is maintained to 5%. The values of AAI and water are termed as ideal values. The simulated model-1 is designed to understand the propagation of inaccuracy error associated with AAI and W to AoA. The ideal values of AAI and W is deviated by ±1%. The constructive mode of error propagation is set by deviating (-1%) and (+1%) the ideal value of AAI and W for first and second group, respectively. The destructive mode of propagation is set by deviating (+1%) of ideal value of AAI and (-1%) of ideal value W for third group or vice versa for fourth group. The values AoA_{p} and AoA_{a} are calculated from deviated data of AAI and W. The ideal and deviated data is given in Table 1. The content limit is assumed between 98.0% and 102.0% for all four groups. The value of AoAa,, tabulated in Table 1, has more drift toward lower or higher side of content limit of substance and it is justified as ΔAoA_{a}= ΔAoA_{p}×100/ (100-W). The graph of AoA versus % water has been plotted and shown in (fig.1).
Group | Ideal | Deviated | AoA | ΔAoA | |||||
---|---|---|---|---|---|---|---|---|---|
AAI | W | AAI | W | AoA_{i} | AoA_{p} | AoA_{a} | ΔAoA_{p} | ΔAoA_{a} | |
I | 70 | 30 | 69.30 | 29.70 | 100.0 | 99.00 | 98.58 | 1 | 1.42 |
75 | 25 | 74.25 | 24.75 | 100.0 | 99.00 | 98.67 | 1 | 1.33 | |
80 | 20 | 79.20 | 19.80 | 100.0 | 99.00 | 98.75 | 1 | 1.25 | |
85 | 15 | 84.15 | 14.85 | 100.0 | 99.00 | 98.83 | 1 | 1.17 | |
90 | 10 | 89.10 | 9.90 | 100.0 | 99.00 | 98.89 | 1 | 1.11 | |
95 | 5 | 94.05 | 4.95 | 100.0 | 99.00 | 98.95 | 1 | 1.05 | |
II | 70 | 30 | 70.70 | 30.30 | 100.0 | 101.00 | 101.43 | 1 | 1.43 |
75 | 25 | 75.75 | 25.25 | 100.0 | 101.00 | 101.34 | 1 | 1.34 | |
80 | 20 | 80.80 | 20.20 | 100.0 | 101.00 | 101.25 | 1 | 1.25 | |
85 | 15 | 85.85 | 15.15 | 100.0 | 101.00 | 101.18 | 1 | 1.18 | |
90 | 10 | 90.90 | 10.10 | 100.0 | 101.00 | 101.11 | 1 | 1.11 | |
95 | 5 | 95.95 | 5.05 | 100.0 | 101.00 | 101.05 | 1 | 1.05 | |
III | 70 | 30 | 70.70 | 29.70 | 100.0 | 100.40 | 100.57 | 0.40 | 0.57 |
75 | 25 | 75.75 | 24.75 | 100.0 | 100.50 | 100.66 | 0.50 | 0.66 | |
80 | 20 | 80.80 | 19.80 | 100.0 | 100.60 | 100.75 | 0.60 | 0.75 | |
85 | 15 | 85.85 | 14.85 | 100.0 | 100.70 | 100.82 | 0.70 | 0.82 | |
90 | 10 | 90.90 | 9.90 | 100.0 | 100.80 | 100.89 | 0.80 | 0.89 | |
95 | 5 | 95.95 | 4.95 | 100.0 | 100.90 | 100.95 | 0.90 | 0.95 | |
IV | 70 | 30 | 69.30 | 30.30 | 100.0 | 99.60 | 99.43 | 0.40 | 0.57 |
75 | 25 | 74.25 | 25.25 | 100.0 | 99.50 | 99.33 | 0.50 | 0.67 | |
80 | 20 | 79.20 | 20.20 | 100.0 | 99.40 | 99.25 | 0.60 | 0.75 | |
85 | 15 | 84.15 | 15.15 | 100.0 | 99.30 | 99.18 | 0.70 | 0.82 | |
90 | 10 | 89.10 | 10.10 | 100.0 | 99.20 | 99.11 | 0.80 | 0.89 | |
95 | 5 | 94.05 | 5.05 | 100.0 | 99.10 | 99.05 | 0.90 | 0.95 |
Table 1: Simulated Data Representing The Propagation Of Error Due To Inaccuracy
In normal analytical practice, the decision of acceptance or rejection of pharmaceutical use substance is based on AoA and its confidence interval. The mean value of AoA with confidence interval (CI) (i.e. AoA±CI) should completely fall in set range of content limit [4]. The simulated model-2 is prepared to understand the propagation of standard deviation error associated with AAI and W in AoA. The theoretical value of AAI and W of sodium citrate dihydrate is varied from 12.0% to 12.4% and 87.6% to 88.0%, respectively. The variation interval between two consecutive values of W and AAI is kept constant (i.e. 0.1%). The values of AAI and W are arranged in ascending and descending order respectively for destructive propagation. The both values of AAI and W are arranged in descending order for constructive propagation. The standard deviation for AAI and W is calculated for destructive and constructive mode of error propagation. The data of simulated model-2 is given in Table 2. The value of AoA_{a}, tabulated in Table 2, is more inclined toward lower and higher content limit than AoA_{p}. It is found that the standard deviation value is zero for destructive mode of error propagation through accepted and alternate formulas, which goes against theory of error propagation. In constructive mode of error propagation, the propagation of standard deviation of AAI and W to AoA_{a} is justified as SD_{a}= SD_{p}×100/(100-W) (Eqn. 6). The substances for pharmaceutical use selected for experimental study were sodium dihydrogen phosphate dihydrate and sodium citrate dihydrate and anhydrous citric acid. The validity of Eqns. 5 and 6 is supported with experimentally determined values of AoA and its standard deviation of these three pharmaceutical use substances.
Set | Destructive propagation | AoA_{a}= AoA_{p} | Constructive Propagation | AoA_{a} | AoA_{p} | ||
---|---|---|---|---|---|---|---|
AAI | W | AAI | W | ||||
1 | 87.6 | 12.4 | 100.00 | 88.0 | 12.4 | 100.46 | 100.40 |
2 | 87.7 | 12.3 | 100.00 | 87.9 | 12.3 | 100.23 | 100.20 |
3 | 87.8 | 12.2 | 100.00 | 87.8 | 12.2 | 100.00 | 100.00 |
4 | 87.9 | 12.1 | 100.00 | 87.7 | 12.1 | 99.77 | 99.80 |
5 | 88.0 | 12.0 | 100.00 | 87.6 | 12.0 | 99.55 | 99.60 |
Mean | 87.8 | 12.2 | 100.00 | 87.8 | 12.2 | 100.00 | 100.00 |
Theoretical | 87.8 | 12.2 | - | 87.8 | 12.2 | - | - |
Standard deviation | 0.16 | 0.16 | 0.00 | 0.16 | 0.16 | 0.36 | 0.32 |
Table 2: Simulated Data Representing The Propagation Of Standard Deviation Errors
Sodium dihydrogen phosphate dihydrate, (SP) NaH_{2}PO_{4}·2H_{2}O, MW 156.0, Sodium citrate dihydrate, (SC) C_{6}H_{5}Na_{3}O_{7} ·2H_{2}O, MW 294.1 and anhydrous citric acid, (CA) C_{6}H_{8}O_{7}, MW 192.1 pharmaceutical grade substances obtained from Merck, India were used. Acetic acid glacial, CH_{3}COOH, MW 60.05, Phenolphthalein, C_{20}H_{14}O_{4}, MW 318.3 and 1-naphtholbenzein, C_{27}H_{20}O_{3}, MW 392.5 were used of analytical grade of commerce. Pyridine free, Karl Fisher reagent solution of factor ~5 mg H_{2}O/ml was used of commercially available grade. Potassium hydrogen phthalate C_{8}H_{5}KO_{4}, MW 204.2 of certified volumetric standard was used.
The KF titrator, model-Mettler DL31, equipped with a dual platinum electrode and the autotitrator, model-Mettler DL67, equipped with a glass electrode were used. The water content was determined in six replicate of CA using 2.000 g and SC using 0.300 g. The method of analysis 2.5.12 was followed for water determination [5]. Loss on drying test was performed using 0.50 g at 130° for SP. The method of analysis 2.2.32 was followed for water determination of SP [6].
The assay test was performed in six replicates by using method described in European Pharmacopiea monographs of SP, SC and CA [7-9]. The experimental data of AAI and W were arranged in ascending order for constructive mode of error propagation. The AoA_{a} and AoAp for each set of AAI and W were calculated. The arithmetic mean of AAI, W, AoA_{a} and AoA_{p} were calculated using Eqn.7 for arithmetic mean (Ā)= (x1+x2…..xi)/n (Eqn.7). The standard deviation of AAI, W, AoA_{a} and AoA_{p} were calculated using Eqn.8 for standard deviation (SD)= [(Σx_{i}-Ā)^{2}/n-1]^{1/2} (Eqn.8). In Eqns.7 and 8 x_{i} is individual values and n is number of replicates. The values ΔAoA_{a} and ΔAoA_{p} was calculated as ΔAoA=100-AoA. The AoA_{a} ±CI_{a} and AoA_{p}±CI_{p} were calculated using Eqn.9 for confidence interval(CI)=(t×SD)÷ (n)^{1/2} (Eqn.9) where t(student factor)=2.57 at 95% confidence interval and n=6 [10]. All experimental data tabulated in Table 3 and 4.
Substance | Set | AAI | W | AoA_{p} | AoA_{a} |
---|---|---|---|---|---|
Sodium dihydrogen phosphate dihydrate | 1 | 76.04 | 23.17 | 99.21 | 98.98 |
2 | 76.11 | 23.21 | 99.32 | 99.12 | |
3 | 76.20 | 23.22 | 99.42 | 99.25 | |
4 | 76.22 | 23.27 | 99.49 | 99.33 | |
5 | 76.27 | 23.32 | 99.59 | 99.47 | |
6 | 76.33 | 23.57 | 99.90 | 99.87 | |
Mean | - | 76.20 | 23.29 | 99.49 | 99.33 |
Standard deviation | - | 0.1 | 0.15 | 0.24 | 0.31 |
Sodium citrate dihydrate | 1 | 87.67 | 11.50 | 99.17 | 99.06 |
2 | 87.67 | 11.65 | 99.32 | 99.24 | |
3 | 87.79 | 11.75 | 99.54 | 99.48 | |
4 | 88.03 | 11.78 | 99.81 | 99.78 | |
5 | 88.13 | 11.92 | 100.05 | 100.06 | |
6 | 88.42 | 12.06 | 100.48 | 100.55 | |
Mean | - | 87.95 | 11.78 | 99.73 | 99.69 |
Standard deviation | - | 0.30 | 0.20 | 0.49 | 0.55 |
Anhydrous Citric acid | 1 | 99.5 | 0.0974 | 99.60 | 99.60 |
2 | 99.5 | 0.0980 | 99.60 | 99.60 | |
3 | 99.8 | 0.0984 | 99.90 | 99.90 | |
4 | 99.7 | 0.1002 | 99.80 | 99.80 | |
5 | 100.1 | 0.1029 | 100.20 | 100.20 | |
6 | 100.3 | 0.1062 | 100.41 | 100.41 | |
Mean | - | 99.82 | 0.10 | 99.92 | 99.92 |
Standard deviation | - | 0.34 | 0.00 | 0.33 | 0.33 |
Table 3: Experimental Data Of Aai, W And Aoa
Parameter | Sodium dihydrogen phosphate dihydrate | Sodium citrate dihydrate | Anhydrous Citric acid |
---|---|---|---|
AoA_{a} | 0.67 | 0.31 | 0.08 |
AoA_{p} | 0.51 | 0.27 | 0.08 |
AoA_{a} / ΔAoA_{p} | 1.31 | 1.15 | 1.00 |
SD_{AoAa} | 0.31 | 0.55 | 0.33 |
SD_{AoAp} | 0.24 | 0.49 | 0.33 |
SD_{AoAa}/SD_{AoAp} | 1.29 | 1.12 | 1.00 |
100/(100-W) | 1.30 | 1.13 | 1.00 |
AoA_{a} ± CI_{a} | 99.33 ± 0.33 | 99.69 ± 0.58 | 99.90 ± 0.35 |
AoA_{p} ± CI_{p} | 99.49 ± 0.25 | 99.73 ± 0.51 | 99.90 ± 0.35 |
Table 4: Experimental - Propagated Errors Data
Based on water content result of SP the extent of propagation of standard deviation error and magnitude of drift through accepted formula was predicted to 1.30 i.e. [100/(100-W)]=100/(100–23.29)=1.30. The experimental value of extent of propagation of standard deviation error was found to 1.29 i.e. (SD_{AoAa}/SD_{AoAp})=0.31/0.24=1.29. The experimental value of magnitude of drift was found to 1.31 i.e. (100-AoA_{a})/(100-AoA_{p})=100-99.33/100-99.49=1.31
The similar trends of observations were found for SC and CA. The predicted and experimental value of extent of standard deviation error propagation to AoA_{a} through accepted formula was comparable for SP and SC. The predicted and experimental magnitude of drift in accepted formula was comparable for SP and SC. There was no impact on drift of AoA_{a} and it’s standard deviation for CA because the value of 100/(100–0.1) was almost equals to 1. The data related to ΔAoA_{a} , ΔAoA_{p}, SD_{AoAa} and SD_{AoAp} tabulated in Table 4. Experimentally, it was proved that the extent of propagation of errors obtained by industry-accepted formula was found higher by a factor 100/(100-%water) in comparison with alternate formula. The cause of higher standard deviation and inaccuracy has been identified in industry-accepted formula. The drift and propagation of errors should be considered during setting specification limit of substances containing higher amount of water.
Acknowledgements
The authors would like to thank Dr. T. Rajamannar, Director, Sun Pharma Advanced Research Company Limited, Vadodara for his valuable guidance and support.
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