Materials and Methods
HPLC grade of Acetonitrile (ACN) was purchased from Romil (UK). Triethylamine, and Trifluoroacetic acid were obtained from Merck (Germany). HPLC grade water was obtained in-house from Puris Expe-UP water purification system (Korea). Gliclazide BPCRS was used as the reference standard.
The Alpha swabs (Texwipe® 761) used for the cleaning assessment were from Texwipe (Philippines). The coupons with surfaces similar to the manufacturing equipment were constructed in house from Stainless Steel, Polyvinyl Chloride (PVC), and Polyethylene (PE) with dimensions of 5 cm × 5 cm. The internal material finish should have an arithmetical average surface roughness of no longer than 0.8 micrometer (
15). The Stainless Steel coupons were electro-polished and the average roughness was 0.074 µm. In order to increase reproducibility in the recoveries, to increase the recovery results and to reduce the variability, it is important to regenerate the test surfaces back to the original state. Appropriate cleaning the surface of the coupons is of tremendous importance to perform the quantitative swabbing process successfully. The coupons were ultrasonicated in water, rinsed with purified water, and dried at ambient temperature.
Instrument
Throughout the measurements, a Waters Alliance series HPLC system involving Waters e2695 Separations Module, and UV-VIS detector model 2489 was employed (USA). The system was fitted with a pump, auto-sampler, and Thermostatic Column Compartment (TCC). Empower 3 software was applied for gathering HPLC data and processing. Operating conditions of HPLC in this study are summarized in
Table 4.
Standard preparation
Stock standard solution of Gliclazide (0.2 mg/mL) was prepared by weighing approximately 40 mg of Gliclazide BPCRS into a 200 mL volumetric flask, dissolving it in 10 mL of Acetonitrile, and diluting to 200 mL using a mixture of 2 volumes of Acetonitrile and 3 volumes of Water.
Method validation
Method validation requirements depend on the intended use of the method, the status of the method, and the development stage of the product (
16-
19).
System suitability
Verification of the appropriate performance of the overall system composing of instrument and method at the time of use is regarded as an integral part of the analytical procedure. System suitability test (SST) verifies the actual suitability each time the analytical procedure is applied and can be regarded as a part of continued method performance verification. SST should be designed to detect variation in the performance of a procedure in routine use and it should be based on an understanding of the risk and impact of variation with the acceptance criteria chosen to ensure that the measurement uncertainty remains acceptable (
17). SST solution was prepared by dissolving 5 mg of Gliclazide BPCRS and Gliclazide impurity F BPCRS in 25 mL of Acetonitrile, diluting to 50 mL with water and subsequent dilution of 1 volume of the resultant solution to 20 volumes with a mixture of 45 volumes of Acetonitrile and 55 volumes of water (
20).
Linearity and Range
Linearity of an analytical procedure is its capability within the target range to yield test results that are directly proportionate to the concentration of analyte in the sample. Range is the span between the higher and lower concentration of analyte in the sample according to which the analytical procedure has an appropriate level of precision, accuracy, and linearity (
17-
19). Linearity of the method was studied by determining standard solutions at five different concentration levels.
Accuracy
Accuracy of an analytical procedure expresses the closeness of agreement between the value, which is accepted as either a conventional true value or an accepted reference value and the value found. This is sometimes termed “trueness” (
18,
19). The uncorrected bias or systematic error in an analysis is measured by accuracy (
17). It is necessary to report accuracy as percent recovery by the assay of known added amount of analyte in the sample or as the discrepancy between the mean and the established true value together with the confidence intervals. It is also necessary to assess accuracy using a minimum of 9 determinations over a minimum of 3 concentration levels covering the specified range and 3 replicates each (
18). There should be evidence that the samples are accurately recovered. A recovery of >80% is considered good, >50% reasonable, and <50% questionable (
21).
Precision
Precision of an analytical procedure is the degree of agreement among individual test results when the procedure is applied repeatedly to multiple samplings of a homogeneous sample. The precision of an analytical procedure is usually expressed as the variance, standard deviation, or coefficient of variation of a series of measurements (
18,
19).
Connection between Accuracy and Precision
Precision and accuracy, as the two key components, can be considered together to show if the total error is within the boundary conditions of the material acceptance criteria. Increased precision of a procedure makes any bias inherent in the system more obvious, sheds light on the linearity and range, makes the capability of determining an error brought about by a lack of specificity more obvious. It also enhances the probability of a material meeting the assay acceptance criteria receiving a passing result. Precision and accuracy are the most meticulously connected of these relationships (
17).
Specificity
Specificity is the ability to assess the analyte in the presence of components, which may be expected to be present. Typically, these might include impurities, degradation products, and matrix components (
18,
19).
LOD and LOQ
The minimum detectable amount of analyte in a sample that cannot be necessarily quantitated under the stated experimental conditions is called Limit of detection (LOD).
Limit of quantitation (LOQ) is the minimum amount of analyte in a sample that can be determined with acceptable precision and accuracy under the stated experimental conditions.
Sample preparation
Defined volume of sample solution at a specific concentration was loaded on 5cm×5cm pre-defined surfaces. The coupons were left to dry at room temperature. A dry swab was pre-wetted with water for wiping the surface of the coupon up to the total 25-cm2 test area.
Four edges of coupon were also wiped. The swab head was cut and put into the premeasured solvent volume in the vial. The process was performed over again by a second swab. Two swabs were put in each vial. The vial was sonicated for five minutes; then, the solution was transferred to an HPLC vial and labeled as sample solution.
Adjusting Health-Based Safety Thresholds/Acceptance Limits
The establishment of acceptance limits is necessary for cleaning the validation programs. Setting the limits requires the right margin of safety. The “Margin of Safety” by definition is the distance of the cleaning data from the acceptance limit. Adjusting the acceptance criteria to a health-based limit such as the ADE leads to several enhancements.
The ADE is derived based on toxicology and not just dosage. The ADE is a properly adjusted “safe level” to clean residues. Operationally, the ADE makes it possible to estimate the true “Margin of Safety” upon the assessment of cleaning residue data. It is made sure that any residuals following cleaning are as low as possible below the health-based criteria, and reducing the risk of cross contamination is possible by assessing the cleaning validation data. It is noted that the ADE is not a “limit” in the true sense. However, it is a reference point to determine the level of “risk” made by the residue data. It is believed that acceptable daily exposure and permitted daily exposure are synonyms, but with the emphasis that specific terms are selected by various regulatory bodies.
It is possible to derive ADE from the following Formula (4):
Where: NOAEL shows the no observed adverse effect level, BW is body weight, UFc shows the composite uncertainty factor, MF shows the modifying factor, PK is the Pharmacokinetic Adjustment(s).
PDE can be derived from the following Equation (1):
Where: NOAEL shows the no observed adverse effect level and F1 to F5 deal with different forms of uncertainty.