Method development and optimization
For initial study, various types of mobile phases (solvents) (acetonitrile, ethanol, water with ammonium acetate buffer) were studied to optimize the method. The flow rate and column oven temperature were selected with regards to the back pressure and analysis time as well. When studied was performed with acetonitrile and ethanol, poor resolution and unsuitable peak shape between nystatin and amphotericin B and higher peak tailing were observed.
In order to optimization of the method and also to study the possible interaction between the parameters, Box-Behnken design was used (
12). Levels and the parameters were based on results from the initial study. A Box-Behnken statistical design with 5 factors, 3 levels and 46 runs was selected for the optimization study and the observed responses are given in
Table 1. The experimental design consists of a set of points lying at the midpoint of each edge and the replicated center point of multidimensional cube. pH (A), Concentration of ammonium acetate buffer (B), flow rate (C), ratio of mobile phase (D) and column oven temperature (E) were selected as independent variables in Box-Behnken design. Resolution was taken as response for further analysis. Based on the experimental design, the combinations of factors yielded different mean responses.
Table 1 summarizes the experimental runs, the levels of experimental units and their factor combinations in the study as well as response. Using Box-Behnken design, the model was fitted to the data. Regression analysis of the data was carried out in Stat Graphics Plus 5.1 by a special cubic model.
| Factor Key | levels
|
|---|
| -1 0 +1 |
|---|
| pHBuffer concentrationFlow RateRatio of mobile phaseColumn Temperature | A | 4 | 5 | 6 |
| B | 0.01 | 0.05 | 0.1 |
| C | 0.8 | 1 | 1.2 |
| D | 60 | 70 | 80 |
| E | 25 | 30 | 35 |
| Run | A | B | C | D | E | Response (Relative Resolution) |
| 1 | 0 | 1 | 0 | 0 | 1 | 17.22 |
| 2 | -1 | -1 | 0 | 0 | 0 | 18.02 |
| 3 | 1 | 1 | 0 | 0 | 0 | 13.71 |
| 4 | 0 | 0 | -1 | -1 | 0 | 0 |
| 5 | 0 | 0 | -1 | 0 | 1 | 17.40 |
| 6 | 0 | 1 | 0 | 0 | -1 | 19.17 |
| 7 | 0 | -1 | 1 | 0 | 0 | 16.99 |
| 8 | 0 | 1 | -1 | 0 | 0 | 18.94 |
| 9 | 0 | 0 | -1 | 0 | -1 | 19.93 |
| 10 | 0 | 1 | 0 | -1 | 0 | 0 |
| 11 | 0 | 0 | 0 | 0 | 0 | 8.25 |
| 12 | 0 | 0 | -1 | 1 | 0 | 19.04 |
| 13 | 0 | -1 | 0 | -1 | 0 | 0 |
| 14 | 0 | 0 | 0 | 0 | 0 | 18.34 |
| 15 | 1 | 0 | 0 | -1 | 0 | 0 |
| 16 | -1 | 0 | -1 | 0 | 0 | 6.11 |
| 17 | 0 | 0 | 0 | -1 | 1 | 18.87 |
| 18 | 0 | 0 | 1 | 0 | -1 | 17.81 |
| 19 | 0 | 1 | 1 | 0 | 0 | 17.78 |
| 20 | 0 | 0 | 1 | -1 | 0 | 0 |
| 21 | 0 | 0 | 0 | -1 | -1 | 0 |
| 22 | 0 | -1 | 0 | 0 | -1 | 19.10 |
| 23 | 1 | 0 | 0 | 0 | 1 | 15.09 |
| 24 | 0 | -1 | 0 | 0 | 1 | 17.47 |
| 25 | 1 | 0 | 1 | 0 | 0 | 15.78 |
| 26 | 0 | 0 | 1 | 0 | 1 | 16.68 |
| 27 | 0 | 0 | 0 | 1 | 1 | 7.54 |
| 28 | -1 | 0 | 0 | 1 | 0 | 5.66 |
| 29 | -1 | 0 | 0 | 0 | 1 | 14.54 |
| 30 | 1 | -1 | 0 | 0 | 0 | 18.46 |
| 31 | 0 | 0 | 0 | -1 | 1 | 0 |
| 32 | 0 | 0 | 0 | 0 | 0 | 18.34 |
| 33 | 0 | -1 | 0 | 1 | 0 | 8.69 |
| 34 | 0 | -1 | -1 | 0 | 0 | 18.95 |
| 35 | 1 | 0 | 0 | 0 | -1 | 17.19 |
| 36 | -1 | 0 | 1 | 0 | 0 | 14.66 |
| 37 | 0 | 0 | 0 | 0 | 0 | 18.34 |
| 38 | 1 | 0 | 0 | 1 | 0 | 8.50 |
| 39 | 0 | 1 | 0 | 1 | 0 | 7.43 |
| 40 | 0 | 0 | 0 | 0 | 0 | 18.34 |
| 41 | 0 | 0 | 1 | 1 | 0 | 8.03 |
| 42 | -1 | 0 | 0 | -1 | 0 | 0 |
| 43 | 1 | 0 | -1 | 0 | 0 | 15.94 |
| 44 | 0 | 0 | 0 | 0 | 0 | 18.34 |
| 45 | -1 | 0 | 0 | 0 | -1 | 15.05 |
| 46 | -1 | 1 | 0 | 0 | 0 | 13.75 |
The Standard Pareto chart was used to assess the impact of each parameter in response to the chromatographic method. The normalized results of the experimental design, evaluated at a 5% of significance, were analyzed by a standardized Pareto chart, which showing a frequency histogram where, the length of each bar on the chart is proportional to the absolute value of its associated estimated effect or the standardized effect (
Figure 1A). The standardized effect is the estimated effect divided by its standard error, which is equivalent to computing a t-statistic for each effect. The plot vertical line judges the effects that are statistically significant. Based on the Box-Behnken design results, mobile phase ratio has maximum effect on the optimization methods (
Figure 1A). The interaction plot mentioned that there is an interaction between pH and flow rate (
Figure 1B). As one can see from the estimated responses surface (
Figure 1C). The optimum conditions were in the position of maximum levels of the surface and the lines of the estimated responses surface confirmed the model and optimum conditions (
Figure 1D). The optimum conditions obtained by Box-Behnken design are as follows: The mobile phase, methanol -0.05 M ammonium acetate buffer (70:30 v/v); pH 5.0; temperature of 30 °C; flow rate, 1.0 mL min
-1.
(A) Pareto chart of the main effects for chromatography method; (B) interaction plot; (C) estimated response surface; and (D) contours plot obtained
Method validation
According to the ICH-Guidelines on the validation of analytical methods Q2A and Q2B the method validation demonstrated the specificity, linearity, limit of detection, limit of quantification, precision, and accuracy (
13,
14).
Specificity
The ability of these methods to set apart the peaks indicates the methods specificity. UV detector and retention times of the internal standard and nystatin were used to recognize the peaks in the chromatograms with the current separation conditions: amphotericin B at 5 min, nystatin at 15 min (
Figure 2).
Typical chromatograms for separation conditions: amphotericin B at 4 min and nystatin at 16 min.
Linearity
Injection of standard solution in nine concentration levels over a wide concentration range (5, 10, 25, 50, 100, 200, 300, 400, 500 µg/mL) was utilized to recognize the linearity of the method. The coefficients of correlation (r
>0.999) exhibited the significant relationship between peak area and the concentration of nystatin. (
Table 2) gives information on the calibration range, regression equation, the coefficient of correlation, and the LOD and LOQ of nystatin.
| Analyte (nystatin) |
|---|
| Calibration range [µg/mL] | 5-500 [µg/mL] |
| y-intercept | 14664144889 |
| Slope |
| Coefficient of correlation | 0.9996 |
| LOD [µg/mL] | 0.01 |
| LOQ [µg/mL] | 0.025 |
Precision of the chromatographic method
Two different ways including repeatability as an intra assay and intermediate precision as inter assay were used to confirm the precision of the HPLC. The repeatability was settled by analyzing six repeated injections of the standard solution. For the intermediate precision, six tests were repeated on a different day by a different analyst. The relative standard deviation values (RSD) of the repeatability and intermediate precision must be less than 1% and demonstrated that the HPLC method is precise (
Table 3).
| Concentration level (%) | RSD%
|
|---|
| Intra-assay (1 day)(n=6) | Inter-assay (3 days)(n=18) |
|---|
| 50% | 0.85 | 0.10 |
| 100% | 0.68 | 0.54 |
| 150% | 0.92 | 0.88 |
| Average | 0.82 | 0.51 |
Accuracy
The accuracy of the procedure was assessed by comparing the analyte amount determined versus the known amount spiked at three different concentration levels (50%, 100%, and 150%) with 3 replicates (n=3) for each concentration level investigated. Each sample was injected three times and analyzed according to the method that was previously described (
Table 3). These results confirm that the method is accurate for nystatin with recovery rates of 92-100%.
The proposed chromatographic method was applied to assay of nystatin in pharmaceutical samples are summarized in
Table 4.
| Real samples | Assay results
|
| HPLC assay(IU/Tablet) | Microbial assay(IU/Tablet) |
| Vaginal Tablet 100,000 IU | 114328 | 101250 |
| Oral Tablet 500,000 IU | 499012 | 520000 |