Translate this page into:
Validated spectrophotometric methods for simultaneous determination of oxytetracycline associated with diclofenac sodium or with piroxicam in veterinary pharmaceutical dosage form
⁎Corresponding author at: São Paulo State University (UNESP), School of Pharmaceutical Sciences, Rodovia Araraquara-Jaú- km 1, 14800-903 Araraquara, São Paulo, Brazil. rusversut@gmail.com (Rúbia A. Sversut)
-
Received: ,
Accepted: ,
This article was originally published by Elsevier and was migrated to Scientific Scholar after the change of Publisher.
Peer review under responsibility of King Saud University.
Abstract
Two simple, precise, accurate and robust UV zero and first derivative orders spectrophometric methods have been developed and validated for the simultaneous determination of oxytetracycline (OTC) associated either with diclofenac sodium (DICLO) or with piroxicam (PIRO) in veterinary pharmaceuticals, without prior separation of the drugs. These proposed methods are also suitable for individual estimation of each drug in pharmaceutical products for human use. The first method is a zero order spectrophotometry for estimation of OTC at 360 nm in the association with DICLO. The second one employs a first derivative at 339 nm, using a zero-crossing technique to measure the OTC content in the association with PIRO. Both nonsteroidal anti-inflammatory drugs (DICLO and PIRO) were analyzed by first derivative spectrophometric at 298.5 nm (OTC zero-crossing point) in their respective associations. All measurements were carried out in acetronitrile:water (50:50, v/v; pH 2.5) and at room temperature (25 ± 2 °C). Analytical curves were linear (r > 0.9996) in the concentration range of 10.0–80.0 μg mL−1 for OTC, 1.5–25.0 μg mL−1 for DICLO and 2.5–30.0 μg mL−1 for PIRO. The limits of quantification were lower than 1.50 μg mL−1 and the mean of recoveries were within the acceptable limits of 98–102% for all three drugs. The developed methods can be successfully applied in the quality control routine for the simultaneous or individual determination of OTC, DICLO and PIRO in pharmaceutical dosage forms.
Keywords
Zero order and derivative spectrophotometry
Veterinary pharmaceuticals
Quality control
Validation
1 Introduction
Oxytetracycline (OTC, Fig. 1a), chemically known as (4S, 4a, 4aR, 5S, 5aR, 6S, 12aS)-4-dimethylamino-1,4,4a, 5,5a, 6,11,12a-octahydro-3,5,6,10,12,12a-hexahydroxy-6-methyl-1,11-dioxo-2-naphthacenecarboxamide or simply 5-hydroxytetracycline, belongs to the tetracycline antimicrobial class (Moffat et al., 2011). OTC stands out among the other tetracycline’s drugs due to its broad spectrum of action and affordable cost. Thus, it has been widely used in human and veterinary medicine, as well as in agriculture for the control of certain bacterial diseases that affect high-value fruits (Sversut et al., 2017a, 2017b).
Particularly in veterinary medicine, OTC is often formulated in fixed-dose combinations with nonsteroidal anti-inflammatory drugs (NSAIDs), as diclofenac sodium (DICLO, Fig. 1b) and piroxicam (PIRO, Fig. 1c). These associations are available as intramuscular extended-release injectable solutions, which are mainly indicated to the treatment of cattle with systemic infections accompanied by fever and other inflammatory conditions (Clarke et al., 1991). However, these active pharmaceutical ingredients (APIs) are also available as a single dosage form in liquid and solid pharmaceuticals (injectable, capsule, tablet and powder) for human and animal use.
Quality control and compliance with good practices in the production of veterinary pharmaceuticals are as important as those for human use. When veterinary pharmaceuticals do not reach the minimum quality requirements, the therapy becomes ineffective, leading to spread of diseases among animals, presence of residues in foods above the maximum permissible limits or appearance of resistant strains (Rath et al., 2015). Furthermore, it is important to ensure the quality animal’s life, through safe and effective medical interventions, because animals, including companion ones (pets), can be reservoirs and vectors of zoonotic diseases (Smith, 2013). For these reasons, the poor quality of veterinary medicinal products represents not only a threat to the health of treated animals, but also to the human public health (Rath et al., 2015).
There are studies described in the literature that show significant deviations in the quality of veterinary pharmaceuticals. As mentioned by Rath et al. (2015), a study in Sub-Saharan Africa found that 20 and 42% of the veterinary products marketed in Senegal and Cameroon, respectively, had lower levels of APIs than recommended. In addition, 2% of veterinary medicines marketed in Senegal and 4% in Cameroon did not contain APIs in their formulation or they were above the permitted dosage (Têko-Agbo et al., 2008).
Several official and unofficial analytical methods, including high-performance liquid and thin-layer chromatography, spectrophotometry, capillary electrophoresis, chemiluminescence and flow injection analysis, have been described for the isolated estimation of OTC, DICLO or PIRO in biological fluids and pharmaceutical formulation. On the whole about single quantification of OTC, many spectrophotometric methods based on colorimetric reactions have been described for its determination in pharmaceuticals (Abdel-Khalek and Mahrous, 1983; Mahrous and Abdel-Khalek, 1984; Morelli and Peluso, 1985; Ayad et al, 1986; Sultan et al., 1988; Jelikić-Stankov et al., 1989; Saha, 1989; Saha et al., 1990; Emara et al., 1991; Rao et al., 1996; Fahelelbom, 2008; Prasad and Rao, 2010). However, as we have previously mentioned in our review research about analytical methods for the quantification of OTC (Sversut et al., 2017a, 2017b), most of these methods have the following disadvantages: low sensitivity, need for high reagent concentrations and large volumes of organic solvents (Rodríguez et al., 2016).
To our knowledge, there is no analytical method reported in the scientific literature for the simultaneous determination of OTC associated either with DICLO or with PIRO in veterinary pharmaceuticals. Particularly, the lack of spectrophotometric methods can be justified by the difficulty of simultaneous determination of the compounds in the same mixture without prior separation (Lotfy and Hagazy, 2012). Thus, this present study attempted to develop and validate an innovative UV zero and UV first derivative orders spectrophotometric methods for the simultaneous determination, without preliminary separation, of the OTC in combination either with DICLO or with PIRO in their veterinary pharmaceutical dosage form. In addition, this paper deals with the use of the proposed methods for individual quantification of these APIs in pharmaceutical formulation for human use.
2 Experimental
2.1 Reference Standard Substances (RSS) and commercial samples
Oxytetracycline dihydrate (OTC, assigned purity 90.1%), diclofenac sodium (DICLO, assigned purity 99.3%) and piroxicam (PIRO, assigned purity 101.7%), used as RSS, were supplied from Pharmanostra® (Rio de Janeiro-Brazil), Fragron® (São Paulo-Brazil) and Valdequímica Chemical Products® (São Paulo-Brazil), respectively. All RSS were provided accompanied by the laboratory analysis certificate and were used without previous purification.
Commercial samples used during the development and validation of spectrophotometric methods were the following binary mixtures, which are available as veterinary intramuscular injectable solutions: Terramicina Mais® (OTC 20.0% + DICLO 1.0%, Zoetis, São Paulo-Brazil) and Terracam Plus® (OTC 22.0% + PIRO 1.2%, União Química, São Paulo-Brazil). They were kept protected from light and humidity throughout all stages of the study.
2.2 Instruments and reagents
The spectrophotometric methods were developed in Evolution 60® UV–Visible spectrophotometer (Thermo Fisher Scientific®, Massachusetts-USA), operated by VisioNlite software® in the range of 200–400 nm. The mixture of acetonitrile:water (50:50, v/v, pH 2.5) was used as solvent and blank. The pH was adjusted to 2.5 with ortho-phosphoric acid (LabSynth®, São Paulo-Brazil) using MS Tecnopon® (São Paulo, Brazil) model mPA210 pH meter. The water used in preparation of solutions and as solvent was obtained from a Milli-Q Plus® (Merck Millipore, Massachusetts-USA) system, and the acetonitrile was of analytical grade provided by Vetec® (Rio de Janeiro-Brazil).
2.3 Methods’ development
The first derivative spectra were obtained from the information contained in the UV zero order spectra, using the software OriginPro® 8.0 (OriginLab, Northampton-UK). The first derivative spectra were preprocessed by Stavitzky and Golay (SG) smoothing filter method, with window of 15 to 20 points and second order polynomial (Stavizky and Golay, 1964).
OTC, DICLO and PIRO standard stock solutions at 100 μg mL−1 were prepared separately in acetonitrile and homogenized in an ultrasonic bath for 15 min (Unique®, model Ultracleaner 1400, São Paulo-Brazil). Subsequently, each standard solution was diluted using acetonitrile:water (50:50, v/v, pH 2.5) at different concentrations as described below.
2.3.1 Selection of wavelengths
2.3.1.1 OTC + DICLO association
From standard stock solutions at 100 μg mL−1 in acetonitrile of OTC and DICLO, diluted solutions of OTC at 22 μg mL−1 and DICLO at 15 μg mL−1 were prepared, separately, using acetonitrile:water (50:50, v/v; pH 2.5) as solvent. From these solutions, scans were performed in the range of 200–400 nm. After overlapping of zero order spectra, it was found that OTC could be analyzed directly at 360 nm because DICLO did not show absorption in this region of UV. On the other hand, the DICLO spectrum needed to be derived to the first order. After preprocessing by the SG smoothing filter method, the wavelength of 298.5 nm was selected. This wavelength corresponds to the OTC zero crossing point, which means that in 298.5 nm absorbance of OTC is zero and not interfering in the quantification of DICLO.
2.3.1.2 OTC + PIRO association
OTC (40 μgmL−1) and PIRO (15 μg mL−1) diluted solutions, prepared in acetonitrile:water (50:50, v/v; pH 2.5), were obtained from standard stock solutions at 100 μg mL−1. Then, these diluted solutions were used to perform scans in the range of 200–400 nm. It was not possible to directly quantify any one of these drugs by zero order due to the absorption of both throughout the spectral range. Thus, the spectra were derived for the first order and, after preprocessing by the SG smoothing filter method, the following wavelengths were selected based on the zero crossing point technique: 298.5 nm for determination of PIRO (OTC zero crossing point) and 339 nm for OTC (PIRO zero crossing point).
2.4 Methods’ validation
The analytical parameters of linearity, limit of detection (LOD), limit of quantification (LOQ), precision, accuracy, selectivity and robustness were evaluated for validation of the spectrophotometric methods (AOAC, 2005; ICH, 2005; ANVISA, 2017a, 2017b). The results were statistically analyzed through the Microsoft Excel® (Microsoft, Washington-USA) and OriginPro 8.0® (OriginLab, Northampton-UK) software. Standard stock and samples solutions were used in the analytical method validation experiments, and were prepared as described below.
2.4.1 Standard stock solution preparation
Standard stock solutions were prepared by analytically weighing 10 mg of each RSS (OTC, DICLO and PIRO) which were separately transferred to 100 mL volumetric flasks, adding approximately 50 mL of acetonitrile. Then, these solutions were taken to the ultrasonic bath during 15 min. Subsequently, the volumes were completed to 100 mL with acetonitrile, obtaining solutions at 100 μg mL−1 of each drug.
2.4.2 Commercial samples stock solutions preparation
Terramicina Mais® (Sample A) and Terracam Plus® (Sample B) were used in the validation experiments of the OTC + DICLO and the OTC + PIRO association, respectively. The specifications declared contents of these commercial products are found in Section 2.1 of this present work.
Using an automatic pipette, 1000 μL of commercial samples A and B were separately transferred into 100 mL volumetric flasks, adding 50 mL of ultrapure water and leaving in ultrasonic bath for 15 min. Subsequently, the volumes were completed with the same solvent, obtaining the commercial sample stock solution A (OTC at 2000 μg mL−1 and DICLO at 100 μg mL−1) and B (OTC at 2200 μg mL−1 and PIRO at 120 μg mL−1).
2.4.3 Analytical parameters
2.4.3.1 Linearity
It was evaluated by constructing three analytical curves for each drug, obtained from dilutions of the respective standard stock solutions. The OTC analytical curves were constructed in the concentration range of 10.0 to 80.0 μg mL−1, whereas those of DICLO were obtained in the range of 1.5 to 25.0 μg mL−1 and those of PIRO in the range of 2.5 to 30.0 μg mL−1. The linear equations were mathematically estimated by the Ordinary Least Squares method.
The obtained signals (absorbance or first order derivatives) were recorded in triplicate and statistically evaluated by the following tests: y-axis homoscedasticity analysis (Cochrańs test), ANOVA of the linear regression and analysis of the residues (Shapiro-Wilḱs test and visual analysis of the graph) (ANVISA, 2017b).
2.4.3.2 Limits of Detection (LOD) and Quantification (LOQ)
The LOD and LOQ of OTC, DICLO and PIRO were determined from the three analytical curves obtained for each drug, using the standard deviation of the intercept (SD) and average slope (a). Thus, the LOD and LOQ were calculated according to follow equations:
2.4.3.3 Precision
The method precision was evaluated by the intra-day (repeatability) and inter-day (intermediate precision) tests. Repeatability was determined by analyzing the commercial sample stock solutions A and B, described previously. The drugs were analyzed at three concentration levels (low, medium and high) within the linear range of the method, and the readings were performed at six replicates for each concentration level.
It was necessary to employ the sample fortification technique for the precision analysis of DICLO and PIRO, once there is low amount of these drugs in the commercial samples. Then, known amounts of the RSS of PIRO and of DICLO were, respectively, added in the final solutions of samples A and B. Subsequently, the amount of each RSS added was subtracted before calculating the content of the drug present in the respective commercial sample. Similar to that performed in this study, sample fortification technique has been used to solve problems related to the spectrophotometric analysis of drugs mixtures with great difference of concentration (Lotfy and Hagazy, 2012; Lotfy et al., 2015a, 2015b). Table 1 illustrates the preparation of the DICLO and PIRO fortified sample solutions employed in the repeatability assays.
| Drug | Level | Sample solution (μL)a | RSS amount added (μL)b | Theoretical concentration (μg mL−1)c |
|---|---|---|---|---|
| DICLO | Low | 500 | 750 | 5.0 |
| Medium | 500 | 3000 | 14.0 | |
| High | 500 | 4500 | 20.0 | |
| PIRO | Low | 500 | 650 | 5.0 |
| Medium | 500 | 3000 | 14.4 | |
| High | 500 | 5000 | 22.4 | |
For the OTC precision evaluation, commercial samples A or B were used according to association in validation. Therefore, 500, 1000 and 1500 μL of the stock solution solutions A or B were transferred to 50 mL volumetric flasks. The volumes were completed with acetonitrile:water (50:50, v/v, pH 2.5), obtaining the following theoretical concentrations of OTC at the low, medium and high levels, respectively: Sample A: 20, 40 and 60 μg mL−1 and Sample B: 22, 44 and 66 μg mL−1. The results of the repeatability assay were expressed in terms of relative standard deviations (% RSD).
The intermediate precision of the proposed methods was performed by analyzing the samples A and B samples for two consecutive days by two different analysts, and the zero and first derivative orders spectra were obtained in six replicates. The averages obtained from the different levels of concentration in days 1 and 2 were statistically compared using the two-tailed Student's t-test with 5% of significance level (α).
2.4.3.4 Accuracy
The accuracy of the spectrophotometric methods was determined through recovery assays performed by adding known amounts of standard solutions to commercial sample solutions (AOAC, 2005). The analyses were performed separately for each drug in order to contemplate the linear range of concentration of the method. The stock standard and samples solutions, previously described, were used. However, for the OTC recovery assay, dilutions of solutions A and B were done, resulting concentrations of 100 and 110 μg mL−1 OTC, respectively.
The spectrophotometric scans were carried out in triplicate at room temperature (25 ± 2 °C) using acetonitrile:water (50:50, v/v; pH 2.5) as blank. The percentages of recovery were calculated using the follow:
2.4.3.5 Selectivity
It was determined by the evaluation of the drugs adjuvants interference at the wavelength used for quantitative determination of the drugs under study. For this, the spectra (zero or first derivative orders) of the drugs present in the commercial samples (A and B) were compared with the spectrum of the adjuvant mixture (placebo solution) commonly present in veterinary injectable solutions containing OTC 20% (Ourofino Animal Health, 2011). The adjuvant mixture including: magnesium oxide (1.9%, w/v), 2-pyrrolidone (33.3%, v/v), benzyl alcohol (1.05%, v/v) and ultrapure water (63.75%, v/v) and its solution was prepared in acetonitrile:water (50:50, v/v; pH 2.5).
2.4.3.6 Robustness
Robustness was assessed through the Youden and Steiner (1975) test, in which seven factors (method variables) that may interfere in the analytical result were deliberately altered, with subsequent analysis of the influence of these variations. The seven factors selected in the present work were: acetonitrile ratio and supplier, pH of solvent mixture, wavelength, sonication time, use of syringe filter and room temperature.
The normal conditions of the variables were designated by the capital letters A-G, the corresponding lowercase letters were used to express the changed variables: a-g (Table 2). The ability of the method to remain unchanged against these changes is expressed as Effect (E), which consists of a numerical value obtained from the difference among the average of the contents obtained from the analysis (s, t, …, z) that employ the factors under normal conditions (capital letters) and under altered conditions (lowercase letters), according to the factorial combination of the test (Table 3) (Youden and Steiner, 1975).
| Factor | Normal condition | Variation | |||
|---|---|---|---|---|---|
| A/a | Acetonitrile ratio | A - | 50% | a - | 55% |
| B/b | Acetonitrile supplier | B - | Dinâmica ® | b - | Vetec® |
| C/c | Solvent mixture pH | C - | 2.5 | c - | 2.3 |
| D/d | Wavelength (nm) | D - | 298.5a; 339b; 360c | d - | 297.5a; 338b; 358c |
| E/e | Sonication time (min) | E - | 15 | e - | 20 |
| F/f | Nylon syringe filterd | F - | no | f - | yes |
| G/g | Room temperature (°C) | G - | 25 | g - | 28 |
| Factor | Factorial combination | |||||||
|---|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | |
| Acetonitrile ratio | A | A | A | A | a | a | a | a |
| Acetonitrile supplier | B | B | b | b | B | B | b | b |
| Solvent mixture pH | C | C | C | c | C | c | C | c |
| Wavelength (nm) | D | D | d | d | d | d | D | D |
| Sonication time (min) | E | E | E | e | e | E | e | E |
| Nylon syringe filter | F | F | f | F | F | f | f | F |
| Room temperature (°C) | G | G | g | G | g | G | G | g |
| Results | s | T | u | v | w | x | y | z |
As observed in Table 3, a total of eight experiments were performed for each commercial sample (sample A: 40 μg mL−1 of OTC and 15 μg mL−1 of DICLO and sample B: 44 μg mL−1 of OTC and 14.4 μg mL−1 of PIRO). It should be noted that DICLO and PIRO concentrations were fortified by adding aliquots of 3 mL of the respective reference substances at 100 μg mL−1 for 25 mL volumetric flasks filled with sample solutions.
The Eq. (4) exemplifies the calculation of the Effect (E) corresponding to the change in the pH of the solvent mixture (C/c). The significance of each factors' effect was obtained according with proposed by Nevado et al. (2006). For a method to be considered robust, the absolute values of E must be smaller than the critical value
. This value was found by Eq. (5).
2.5 Methods' applicability
Commercial samples A (Terramicina Mais®) and B (Terracam Plus®) were analyzed by the proposed methods. The sample solutions were prepared according to the Section 2.4.2. After that, dilutions were made for 25 mL volumetric flasks, as well as the fortification of DICLO and PIRO with the respective RSS solutions. The volumes were completed with acetonitrile:water (50:50, v/v; pH 2.5), obtaining the following theoretical concentrations: Terramicina Mais®: OTC 40 μg mL−1 and DICLO 14 μg mL−1 and Terracam Plus®: OTC 44 μg mL−1 and PIRO 14.4 μg mL−1. The first derivative signals corresponding to the concentrations of DICLO and PIRO RSS, added to their respective samples, were subtracted before calculating the content of each drug present in the sample.
With the purpose of evaluating the applicability of the spectrophotometric methods for the quantification of the drugs in the isolated form, the following pharmaceutical products for human use were analyzed: Terramicina® capsules (Pfizer, São Paulo - Brazil), containing OTC hydrochloride 500 mg (Sample C); diclofenac sodium generic gastro-resistant tablets (EMS, São Paulo-Brazil), containing DICLO 50 mg (Sample D); Diclofarma® intramuscular injectable solution (Farmace, Ceará - Brazil), containing DICLO 25 mg mL−1 (Sample E); piroxicam generic capsules (EMS, São Paulo - Brazil), containing PIRO 20 mg (Sample F) and Feldene® intramuscular injectable solution (Pfizer, São Paulo – Brazil), containing PIRO 20 mg mL−1 (Sample G). All these samples were prepared as described above. However, the final concentrations of OTC (free base) in sample B was 40 μg mL−1, and for DICLO (samples D and E) and PIRO (sample F and G) were 15 μg mL−1. Moreover, in these pharmaceutical products for human use it was not necessary to carry out the sample fortification step.
3 Results and discussion
3.1 Methods’ development
After testing several spectrophotometric conditions, including different proportions of solvent mixtures and colorimetric reagents, two UV methods were developed for the simultaneous determination of OTC associated either with DICLO or with PIRO in injectable solutions. The mixture of acetonitrile:water (50:50, v/v; pH 2.5) was chosen as the ideal solvent for both methods, once it provided high solubility of the drugs and did not present significant absorption in the used wavelength range (200–400 nm).
3.1.1 Selection of wavelengths
As previously mentioned, the veterinary pharmaceutical products under study are binaries mixtures. For these reason, it was not possible to quantify directly and simultaneously all drugs by zero order spectrophotometry due to the overlapping of the electronic transition bands of the UV spectra (Fig. 2). However, the direct quantification of OTC by zero order spectrophotometry was possible in the association with DICLO. It was performed at 360 nm, since DICLO does not show significant absorption at this wavelength (Fig. 2a).
The zero order spectra of OTC and DICLO (Fig. 2a), as well as OTC and PIRO (Fig. 2b) were derived for the first order (Fig. 3) in order to eliminate the overlapping issues of spectral bands.
The derivative technique used for the quantification of drugs was the zero crossing point, which consists of measuring the absolute value of the absorption amplitude of a component of the mixture at the wavelength in which the absorption derivative of the other component is zero (Donato et al., 2010). It is widely used for the quantification of binary mixtures of drugs in pharmaceutical dosage forms (El-Sayed and El-Salem, 2005). For instance, recently our research group employed this helpful technique for simultaneous determination of gatifloxacin and prednisolone acetate in ophthalmic suspensions (Sversut et al., 2017a, 2017b). Therefore, as observed in Fig. 3, DICLO and PIRO were quantified, in their respective OTC associations, at 298.5 nm (OTC zero crossing point in the both binary mixtures), whereas OTC in association with PIRO was quantified at 339 nm (PIRO zero crossing point).
Although in the first OTC derivative spectra there are other zero crossing points (about 210, 220, 230, 270 and 360 nm), the 298.5 nm was chosen for DICLO and PIRO analysis, since in the others wavelengths were observed deviations in the linear correlation of the Lambert-Beer laẃs. Besides that, below 260 nm interference of adjuvants occurs (see the following selectivity result section). For the same reason, zero crossing points in the PIRO spectrum, such as at 275 nm, were not chosen for OTC analysis.
Furthermore, as mentioned in Section 2.3, the first derivative spectra were pre-processed using the Stavizky and Golay (1964) smoothing filter with 15 to 20 point window and second order polynomial. This tool reduces high frequency spectral noise by subdividing the sample space into odd subintervals values. Then, applying the least squares method, it is obtained a polynomial function, where the center point of the interval is replaced by the value calculated through the function (Press et al., 2007).
3.2 Methods’ validation
3.2.1 Linearity, LOQ and LOD
Table 4 shows the parameters obtained from the analytical curves of each drug under study. All analytical curves were linear (r > 0.9996) in the employed concentration range. Moreover, the values of LOQ and LOD indicated that the proposed spectrophotometric methods have presented adequate sensitivity for the simultaneous or isolated determination of OTC, DICLO and PIRO in pharmaceutical products.
| Parameters | Association OTC + DICLO | Association OTC + PIRO | ||
|---|---|---|---|---|
| OTCa | DICLOb | OTCb | PIROb | |
| λ (nm) | 360 | 298.5 | 339 | 298.5 |
| Linear range (μg mL−1) | 10.0–80.0 | 1.5–25.0 | 10.0–80.0 | 2.5–30.0 |
| Equation: y = ax + b | y = 0.03090x − 0.00342 | y = 0.00121x − 0.00034 | y = 0.00022x + 0.00010 | y = 0.00054x − 0.00067 |
| Slope (a) ± SD | 0.03090 ± 0.00001 | 0.00121 ± 0.00006 | 0.00022 ± 0.00002 | 0.00054 ± 0.00003 |
| Intercept (b) ± SD | -0.00644 ± 0.00342 | -0.00034 ± 0.00017 | 0.00010 ± 0.00009 | -0.00067 ± 0.00008 |
| Correlation coefficient (r) ± SD | 0.9999 ± 0.00006 | 0.9998 ± 0.00023 | 0.9997 ± 0.00017 | 0.9997 ± 0.00012 |
| LOD (μg mL−1) | 0.37 | 0.43 | 0.47 | 0.49 |
| LOQ (μg mL−1) | 1.11 | 1.31 | 1.44 | 1.47 |
The proposed spectrophotometric methods for determination of OTC (zero and first derivative orders) were more sensitive than those developed by Jelikić-Stankov et al. (1989), as well as by Gallego and Arroyo (2002), since these authors found LOQ values of 200 and 185 μg mL−1, respectively. Besides that, our proposed methods have a broader linear concentration range than others works previously mentioned, which employed concentration ranges of 2.5 to 34.78 μg mL−1 (Jelikić-Stankov et al., 1989) and of 2 to 36 μg mL−1 (Gallego and Arroyo, 2002). Furthermore, higher linear correlation coefficients were obtained for DICLO and PIRO compared to those found in others spectrophotometric methods described in the literature for the quantification of these drugs in pharmaceutical products (Basan et al., 2001; Sznitowska and Stokrocka, 2007).
Table 5 depicts the linearity statistical analysis results. The results obtained for the Cochrańs test allowed the application of the Ordinary Least Squares method and indicate that y-axis values (dependent variable) are homoscedastic, since the values of Ccalculated < Ccritical. The p-value of the linear regression, obtained by the ANOVA test of the analytical curves, was highly significant (p < 0.0001), which confirms the hypothesis of proportionality between the variables x (concentration) and y (signal).
The residues of each observation are given by the difference between the observed value and the fitted value of the regression line. Statistical analysis of the residues gives us information about why the model did not fit well with the data, i.e., nonlinearity. This occurs due to the presence of outliers and nonconstant variance of the residues (heteroscedasticity) (Chan, 2004). As shown in Table 5, all residues have had a normal distribution according to the results obtained in the Shapiro-Wilk test (p > 0.05).
The graphs of the residues obtained from the linear regression of each drug for assessment of the linearity of the method are shown in Fig. 4, in which we could observe values close to zero, indicative of the absence of outliers. Besides that, the scatter of the points shows no clear pattern. Then, we could conclude that the residues variance is constant.
3.2.2 Precision
Table 6 shows the results obtained from the precision assay of the analyzed drugs through the proposed methods. The values obtained for repeatability (intraday precision) showed RSD below the recommended maximum limit of 5.0% (ICH, 2005). The difference between variances obtained from five determinations carried out on two consecutive days for each concentration level was shown to be non-significant (p > 0.05) by the Student́s t-test with α = 5%. Therefore, as averages of the concentrations obtained on days 1 and 2 did not differ significantly, it was confirmed the intermediate accuracy of the proposed method.
| Drugs | Theoretical concentration (μg mL−1) | Standard concentration added (μg mL−1) | Content found ± RSD (%)c | Intermediate precisiond | |
|---|---|---|---|---|---|
| Repeatability | |||||
| OTC + DICLOa | Day 1 | Day 2 | |||
| OTC | 20.00 | – | 99.57 ± 0.20 | 100.40 ± 0.24 | 0.130 |
| 40.00 | – | 100.41 ± 0.33 | 100.77 ± 0.29 | 0.238 | |
| 60.00 | – | 98.51 ± 0.005 | 98.39 ± 0.13 | 0.535 | |
| DICLO | 5.00 | 3.00 | 100.42 ± 1,26 | 100.34 ± 3.40 | 0.985 |
| 14.00 | 12.00 | 99.07 ± 0,20 | 98.31 ± 0.42 | 0.627 | |
| 20.00 | 18.00 | 100.42 ± 0,30 | 100.25 ± 0.47 | 0.944 | |
| OTC + PIROb | |||||
| OTC | 22.00 | – | 94.20 ± 0.46 | 95.42 ± 1.36 | 0.097 |
| 44.00 | – | 95.76 ± 0.67 | 96.46 ± 0.30 | 0.055 | |
| 66.00 | – | 95.51 ± 1.10 | 95.05 ± 1.12 | 0.599 | |
| PIRO | 5.00 | 2.60 | 101.80 ± 2.35 | 98.53 ± 1.57 | 0.237 |
| 14.40 | 12.00 | 100.98 ± 3.07 | 100.33 ± 1.41 | 0.949 | |
| 22.40 | 20.00 | 100.82 ± 0.32 | 100.65 ± 2.32 | 0.987 | |
Contrary to what was done in this work, where we verified 3 levels of concentrations of each drug in the evaluation of precision, Gallego and Arroyo (2002) checked only one concentration level (16 mg mL−1) for repeatability assay of OTC, and these authors found a RSD value of 0.61%. Basan et al. (2001) employed two levels of concentration (8 and 15 µg mL−1) to analyze the repeatability and intermediate precision of PIRO, reaching a RSD value lower than 1.50%.
3.2.3 Accuracy
The values obtained in the recovery test are presented in Table 7. The amounts of recovered OTC, DICLO and PIRO were within the acceptable limits of 98–102% for all three concentration levels analyzed (AOAC, 2005). Therefore, the proposed methods have adequate accuracy for the simultaneous or isolated determination of OTC and DICLO, as well as OTC and PIRO.
| Drug | Theoretical concentration added (μg mL−1) | Experimental concentration(μg mL−1)c | Recovery (%) | |
|---|---|---|---|---|
| Result | Mean ± RSD (%) | |||
| OTC + DICLO a | ||||
| OTC | 20.00 | 19.84 | 99.19 | 100.67 ± 0.44 |
| 40.00 | 40.61 | 101.54 | ||
| 60.00 | 60.78 | 101.29 | ||
| DICLO | 3.00 | 3.05 | 101.69 | 100.75 ± 0.29 |
| 12.00 | 12.04 | 100.35 | ||
| 18.00 | 18.03 | 100.19 | ||
| OTC + PIROb | ||||
| OTC | 20.00 | 19.73 | 98.64 | 99.87 ± 0.74 |
| 40.00 | 40.45 | 101.14 | ||
| 60.00 | 59.91 | 99.85 | ||
| PIRO | 2.60 | 2.61 | 100.30 | 100.60 ± 1.05 |
| 12.00 | 12.22 | 101.80 | ||
| 20.00 | 19.94 | 99.71 | ||
Similar to what we found, Prasad and Rao (2010) achieved the recovery limit of 98–102% for OTC, using a visible spectrophotometric method for simultaneous determination of OTC in pharmaceutical samples. Didamony and Amin (2004), who proposed an adaptation of a color reaction for spectrophotometric determination of DICLO and PIRO in pure form and in pharmaceutical formulations, also reached a mean percentage recoveries comparable those obtained in our study. The method proposed by El-Didamony and Amin (2004) gave a mean percentage of 99.8 ± 1.2% for DICLO and 100.3 ± 0.8% for PIRO.
3.2.4 Selectivity
Fig. 5A and B, that showing the UV-zero and first derivative orders spectra of the sample solution A (Terramicina Mais®), respectively, revealed that the adjuvants commonly present in veterinary injectable solutions have absorption below 260 nm. However, they do not show analytical signal at the wavelengths at which the drugs are analyzed, that is, in order zero at 360 nm (OTC) and at the first derivative and 298.5 nm (DICLO). Therefore, they do not interfere in the spectrophotometric analysis of OTC and DICLO in the pharmaceutical products.
Fig. 6 shows the first derivative order spectrum of commercial sample solution B overlapping the placebo solution spectrum. It is possible to verify that the main adjuvants present in the analyzed commercial samples do not present analytical signal in the first derivative order at the wavelengths where OTC and PIRO are analyzed, 339 and 298.5 nm, respectively. These results confirm the selectivity of the proposed methods.
3.2.5 Robustness
Fig. 7 shows the absolute values of the Effects observed to the robustness test calculated by Eq. (4). The critical values
for OTC and DICLO were, respectively, 1.17 and 0.10 (Fig. 7a). For the association of OTC and PIRO, the critical values were, respectively, 2.59 and 0.12 (Fig. 7b).
No change in the parameters selected for the proposed methods resulted in absolute values of Effect above the critical values for each drug, indicating the method remained robust in face of the evaluated variations. However, the effect that most approached the critical value was due to the variation in sonication time (E) to PIRO. This can be explained by the fact that the increase in sonication time has influenced the solubility of the drug and, consequently, in the analytical signal observed in the first derivative order.
Table 8 shows the obtained relative amount values for the drugs' analyzed during the robustness test. The relative contents' values at the altered conditions were close to those obtained under the normal conditions, remaining in an acceptable range of 90 to 105% relative to the theoretical concentration.
| Factor | Relative amount (%)a | |||||||
|---|---|---|---|---|---|---|---|---|
| OTC | DICLO | OTC | PIRO | |||||
| N | A | N | A | N | A | N | A | |
| Acetonitrile ratio | 95.95 | 96.26 | 102.65 | 100.76 | 97.70 | 92.38 | 96.91 | 99.62 |
| Acetonitrile supplier | 96.24 | 95.97 | 99.90 | 103.51 | 95.85 | 94.22 | 98.80 | 97.73 |
| Solvent mixture pH | 97.41 | 94.80 | 103.68 | 101.13 | 95.58 | 94.50 | 98.23 | 98.67 |
| Wavelength (nm) | 95.51 | 96.70 | 102.79 | 100.62 | 93.78 | 96.29 | 96.78 | 99.75 |
| Sonication time (min) | 96.30 | 95.90 | 101.89 | 101.52 | 96.90 | 93.17 | 96.09 | 100.44 |
| Nylon syringe filter | 97.46 | 95.67 | 102.72 | 100.69 | 93.75 | 96.46 | 99.24 | 97.29 |
| Room temperature (°C) | 97.28 | 94.93 | 101.83 | 101.58 | 95.20 | 94.88 | 98.74 | 97.79 |
3.3 Methods' applicability
The UV zero and first derivative orders methods are suitable for simultaneous and isolated determination of OTC, DICLO and PIRO in the veterinary and human pharmaceutical products. Table 9 shows the results of commercial sample analyses, using the proposed methods.
| Commercial Sample | Amount ± RSD (%)a | ||
|---|---|---|---|
| OTC | DICLO | PIRO | |
| Sample A | 100.54 ± 0.17b | 99.15 ± 1.86 d | – |
| Sample B | 96.43 ± 0.30c | – | 102.40 ± 1.66d |
| Sample C | 101.65 ± 0.65b 100.94 ± 2.14c |
– | – |
| Sample D | – | 98.32 ± 0.05 d | – |
| Sample E | – | 102.41 ± 0.14 d | |
| Sample F | – | – | 97.73 ± 0.95d |
| Sample G | – | – | 98.39 ± 0.77d |
Sample A (Terramicina Mais®, injectable solution); Sample B (Terracam Plus®, injectable solution); Sample C (Terramicina®, capsules); Sample D (diclofenac sodium generic gastro-resistant tablets); Sample E (Diclofarma®, injectable solution); Sample F (piroxicam generic capsules) and Sample G (Feldene®, injectable solution). Samples A-B: veterinary use; Samples C-G: human use.
The amounts found for the drugs were compared with those established in the individual official monographs, since there are no official monographs for the associations of OTC with either DICLO or with PIRO. According to the United States Pharmacopoeia (United States Pharmacopeial Convention, 2015) the limits for the OTC content in injectable solution is at least 90% and at most 120% and, as recommended in the British Pharmacopoeia (British Pharmacopoeia Commission, 2016), the DICLO and PIRO content in gastro-resistant tablets and capsules, respectively, must to be at least 95% and at most 105%. Thus, all commercial samples analyzed through the proposed methods presented contents of drugs within the limits recommended in their respective individual official monographs.
4 Conclusion
UV zero and first derivative orders spectrophotometric methods were developed and validated for the simultaneous determination, without prior separation, of OTC associated with either DICLO or with PIRO in intramuscular injectable solutions for veterinary use. The proposed methods can also be applied for individual quantification of reported drugs in pharmaceutical preparations for human use. The proposed methods were validated and demonstrated to be linear, sensitive, accurate, robust and selective. In addition, they have the advantage of being simple, quick to carry out and do not require sophisticated techniques or equipments, which allow their use in pharmaceutical industries quality control routine.
Acknowledgments
This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brazil (CAPES) - Finance Code 001 and by the Fundação de Apoio ao Desenvolvimento, Ensino, Ciência e Tecnologia do Estado de Mato Grosso do Sul - Brazil (FUNDECT) - Universal Notice n°10/2015.
References
- Spectrophotometric determination of tetracyclines and cephalosporins with ammonium vanadate. Talanta. 1983;30:792-794.
- [Google Scholar]
- Anvisa, 2017a. Resolução n° 167 de julho de 2017: validação de métodos analíticos. Agência Nacional de Vigilância Sanitária: Brasília.
- Anvisa, 2017ba. Guia de tratamento estatístico para validação analítica. Agência Nacional de Vigilância Sanitária: Brasília.
- AOAC. Association of Official Analytical Chemists, 2005. Official Methods of Analysis, 18th ed. Washington, DC.
- S. 4-Aminoantipyrine as analytical reagent for the colorimetric determination of tetracycline and oxytetracycline. Anal. Lett.. 1986;19:2169-2181.
- [Google Scholar]
- Quantitative determination of piroxicam in a new formulation (piroxicam-β-cyclodextrin) by derivative UV spectrophotometric method and HPLC. J. Pharm. Biomed. Anal.. 2001;26:171-178.
- [Google Scholar]
- The British Pharmacopoeia. London: The Stationary Office; 2016.
- Therapy of bovine bacterial pneumonia. Vet. Clin. North Am. Food Anim. Pract.. 1991;7:669-694.
- [Google Scholar]
- Adaptation of a color reaction for spectrophotometric determination of diclofenac sodium and piroxicam in pure form and in pharmaceutical formulations. Anal. Lett.. 2004;37:1151-1162.
- [Google Scholar]
- Espectrofotometria derivada: uma contribuição prática para o desenvolvimento de métodos. Rev. Ciênc. Farm. Básica Apl.. 2010;31:125-130.
- [Google Scholar]
- Recent developments of derivative spectrophotometry and their analytical applications. Anal. Sci.. 2005;21:595-607.
- [Google Scholar]
- Spectrophotometric determination of tetracycline and oxytetracycline in pharmaceutical preparations. Talanta. 1991;38:1219-1221.
- [Google Scholar]
- Analysis of certain tetracyclines and oxytetracycline through charge transfer complexation. Am. J. Pharmacol. Toxicol.. 2008;3:212-218.
- [Google Scholar]
- Spectrophotometric determination of hydrocortisone, nystatin and oxytetracycline in synthetic and pharmaceutical preparations based on various univariate and multivariate methods. Anal. Chim. Acta. 2002;460:85-97.
- [Google Scholar]
- Validation of Analytical Procedures: Text and Methodology Q2(R1) In: International Conference on Harmonization, United States of America. 2005.
- [Google Scholar]
- Spectrophotometric determination of oxytetracycline in pharmaceutical preparations using sodium molybdate as analytical reagent. J. Pharm. Biomed. Anal.. 1989;7:1565-1570.
- [Google Scholar]
- Comparative study of novel spectrophotometric methods manipulating ratio spectra: an application on pharmaceutical ternary mixture of omeprazole, tinidazole and clarithromycin. Spectrochim. Acta, Part A. 2012;96:259-270.
- [Google Scholar]
- A comparative study of smart spectrophotometric methods for simultaneous determination of sitagliptin phosphate and metformin hydrochloride in their binary mixture. Spectrochim. Acta Part A. 2015;149:441-451.
- [Google Scholar]
- A comparative study of novel spectrophotometric resolution techniques applied for pharmaceutical mixtures with partially or severely overlapped spectra. Spectrochim. Acta Part A. 2015;136:937-952.
- [Google Scholar]
- Spectrophotometric determination of phenothiazines, tetracyclines and chloramphenicol with sodium cobaltinitrite. Talanta. 1984;31:289-291.
- [Google Scholar]
- Clarke’s Analysis of Drugs and Poisons: in Pharmaceuticals, Body Fluids and Postmortem Material (4th ed). London: Pharmaceutical Press; 2011.
- Spectrophotometric determination of tetracyclines in pure form and in pharmaceutical preparations by a molybdenum blue method. Anal. Lett.. 1985;18:1865-1886.
- [Google Scholar]
- Sensitive capillary GC-MS-SIM determination of selevtive serotonin reuptake inhibitors: reliability evaluation by validation and robustness study. J. Sep. Sci.. 2006;29:103-113.
- [Google Scholar]
- Spectrophotometric methods for the microdetermination of oxytetracycline and hostacycline. Sci. World J.. 2010;5:1-4.
- [Google Scholar]
- Numerical Recipes – The Art of Scientific Computing (third. ed.). London: Cambridge University Press; 2007.
- Spectrophotometric determination of oxytetracycline in pharmaceutical dosage forms. Indian J. Pharm. Sci.. 1996;58:254-255.
- [Google Scholar]
- Considerações e implicações práticas do guia de validação e controle de qualidade analítica de fármacos em produtos para alimentação animal e medicamentos veterinários. Quím. Nova. 2015;38:697-708.
- [Google Scholar]
- Simple and clean determination of tetracyclines by flow injection analysis. Spectrochim. Acta, Part A. 2016;153:386-392.
- [Google Scholar]
- Colorimetric determination of tetracycline derivatives in pharmaceutical preparations. J. AOAC Int.. 1989;72:242-244.
- [Google Scholar]
- Spectrophotometric determination of tetracyclines in pharmaceutical preparations, with uranyl acetate. Talanta. 1990;37:1193-1196.
- [Google Scholar]
- The role of veterinary medicine regulatory agencies. Rev. Sci. Tech. Off. Int. Epiz.. 2013;32:393-408.
- [Google Scholar]
- Smoothing and differentiation of data by simplified least squares procedures. Anal. Chem. 1964;36:1627-1639.
- [Google Scholar]
- Complexometric-spectrophotometric assay of tetracyclines in drug formulations. Talanta. 1988;35:375-378.
- [Google Scholar]
- Simultaneous determination of gatifloxacin and prednisolone acetate in ophthalmic formulation using first-order UV derivative spectroscopy. Arab. J. Chem.. 2017;10:604-610.
- [Google Scholar]
- A critical review of properties and analytical methods for the determination of oxytetracycline in biological and pharmaceutical matrices. Crit. Rev. Anal. Chem.. 2017;57:154-171.
- [Google Scholar]
- Determination of diclofenac released from suppositories using UV spectrophotometry, spectra derivative spectrophotometry and HPLC. Acta Pol Pharm. 2007;63:401-405.
- [Google Scholar]
- Quality of veterinary medicinal products in circulation in Cameron and Senegal. In: Conference on Veterinary Medicinal Products in Africa. Dakar, 2-18. 2008.
- [Google Scholar]
- United States Pharmacopoeia (39th ed.). United States of America: Rockville; 2015.
- Statistical Manual of the Association of Official Analytical Chemists; Statistical Techniques for Collaborative Tests, Planning and Analysis of Results of Collaborative Tests. Washington, D.C: Association of Official Analytical Chemists International; 1975.
