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Validation of three analytical methods for quantification of acetaminophen by UV spectrophotometry

Delgado-Gómez, Balbina S,López-Espinosa, Nadia L,Castro-Bear, Veronica,Zuñiga-Lemus, Oscar

Abstract

Introduction: Acetaminophen is a non-steroidal analgesic and antipyretic, whose mechanism is based on the inhibition of the cyclooxygenase enzyme responsible for the appearance of pain and inflammation. In Mexico, it is one of the drugs widely used for its effectiveness, which is why the objective of this study was to implement a method of chemical validation by ultraviolet spectrophotometry that allows the quantification of this active principle. Method: We worked with 4 dissolution media (HCl: 0.1N MeOH, 0.1M HCl, Methanol: Water in a ratio of 15:85 p / v and 0.2M phosphate buffer). All four media underwent analytical validation, measuring linear regression significance, precision, sample stability, and sensitivity. Results: The 0.1M HCl, MeOH: H2O (15:85 v / v) and Phosphate Buffer media comply with the significance of the intercept, linearity of the method, as well as the parameters of precision, stability, and with the limits of detection (DL) and the limit of quantification (QL). Discarding the HCl: 0.1N MeOH medium for not meeting the linearity parameters. Conclusions: Of the fourth means evaluated, three of them (0.1M HCl, Methanol: water, and phosphate buffer) can be used as alternatives in the quantification of this drug.

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E-ISSN: 2340-9894 ISSN: 0004-2927 https://revistaseug.ugr.es/index.php/ars doi: 10.30827/ars.v63i2.21983 Artículos originales Validation of three analytical methods for quantification of acetaminophen by UV spectrophotometry Validación de tres métodos analíticos para cuantificación de acetaminofén mediante espectrofotometría UV Balbina S Delgado-Gómez1 Nadia L López-Espinosa1 Veronica Castro-Bear2 orcid 0000-0002-5056-8564 Oscar Zuñiga-Lemus1 orcid 0000-0001-5874-7041 1Universidad de la Cañada. Carretera Teotitlán - San Antonio Nanahuatipán Km 1.7 s/n., Paraje Titlacuatitla. Teotitlán de Flores Magón, Oax. México. 2BUAP, Complejo Regional Sur. Carretera Libramiento Tecnológico-San Marcos Necoxtla, K.m 7 5, Lázaro Cárdenas Sur, 75859, Puebla, México. Correspondencia Oscar Zuñiga Lemus [email protected] Recibido: 08.11.2021 Aceptado: 19.02.2022 Publicado: 21.04.2022 Agradecimientos No acknowledgments. Financiación No financing. Conflicto de intereses The authors declare that there is no conflict of interest. Ars Pharm. 2022;63(2):152-165 152 Resumen Introducción: El acetaminofén es un analgésico y antipirético no esteroideo, cuyo mecanismo se basa en la inhibición de la enzima ciclooxigenasa responsable de la aparición de dolor e inflamación. En México es uno de los fármacos ampliamente usados por su efectividad, es por ello, el objetivo de este estudio fue implementar un método de validación química por espectrofotometría ultravioleta que permita la cuantificación de este principio activo. Método: Se trabajó con 4 medios de disolución (HCl:MetOH 0,1N, HCl 0,1M, Metanol: Agua en proporción 15:85 p/v y solución amortiguadora de fosfatos 0,2M). Los cuatro medios se sometieron a una validación analítica, midiendo Significancia de la regresión lineal, precisión, estabilidad de la muestra y sensibilidad. Resultados: Los medios HCl 0,1M, MetOH:H2O (15:85 v/v) y Buffer de fosfatos cumplen con la significancia del intercepto, linealidad del método, así como los parámetros de precisión, estabilidad y con los límites de detección (DL) y el límite de cuantificación (QL). Descartando el medio de HCl: MetOH 0,1N por no cumplir con los parámetros de linealidad. Conclusiones: De los cuatro medios evaluados tres de ellos (HCl 0,1M, Metanol: agua y amortiguador de fosfatos) se pueden usar como alternativas en la cuantificación de este fármaco. Palabras clave: Acetaminofén; Validación; Norma Oficial Mexicana (NOM). Abstract Introduction: Acetaminophen is a non-steroidal analgesic and antipyretic, whose mechanism is based on the inhibition of the cyclooxygenase enzyme responsible for the appearance of pain and inflammation. In Mexico, it is one of the drugs widely used for its effectiveness, which is why the objective of this study was to implement a method of chemical validation by ultraviolet spectrophotometry that allows the quantification of this active principle. Method: We worked with 4 dissolution media (HCl: 0.1N MeOH, 0.1M HCl, Methanol: Water in a ratio of 15:85 p / v and 0.2M phosphate buffer). All four media underwent analytical validation, measuring linear regression significance, precision, sample stability, and sensitivity. Results: The 0.1M HCl, MeOH: H2O (15:85 v / v) and Phosphate Buffer media comply with the significance of the intercept, linearity of the method, as well as the parameters of precision, stability, and with the limits of detection (DL) and the limit of quantification (QL). Discarding the HCl: 0.1N MeOH medium for not meeting the linearity parameters. Conclusions: Of the fourth means evaluated, three of them (0.1M HCl, Methanol: water, and phosphate buffer) can be used as alternatives in the quantification of this drug. Key Words:Acetaminophen, validation, Official Mexican Standard (NOM) Highlight Paracetamol is one of the most consumed drugs in Mexico, which is why it is necessary to have ways to quantify the concentration of this active ingredient when an HPLC is not available. The work demonstrates the validation of three dissolution media with which paracetamol can be quantified as an alternative to verify its quality control. Introduction Paracetamol or acetaminophen is a non-steroidal analgesic and antipyretic, whose mechanism of action is based on the inhibition of the cyclooxygenase enzyme, preventing the formation of prostaglandins responsible for the appearance of pain(1). Due to its demand among the population, acetaminophen is a focus of constant research since it is one of the most widely used analgesics in Mexico with sales of more than 600 million boxes per year(2). Chemical validation is a process by which the applicability of an analytical method is evidenced, which consists of documented evidence that demonstrates the probability that the method used is reliable(3). The Pharmacopoeia of the United Mexican States (FEUM) describes validation as a “process that establishes, through laboratory studies, which performance characteristics of the method meet the reArs Pharm. 2022;63(2):152-165 Husain GM, Nadeem M, Javed G, et al. 153 quirements for its analytical application”, within the performance characteristics mentioned; system verification, system precision, system linearity, method specificity/selectivity, method accuracy, method linearity and range, method precision, method detection limit, method limit of quantification and method tolerance(4-6). The first validations began to have a boom in the early ‘90s, and have been used by different regulatory bodies such as the United States Pharmacopeia (USP), International Conference on Harmonization of Technical Requirements for the Registry of Medicines for Human Use (ICH), the Food and Drug Administration (FDA), and in Mexico the Pharmacopoeia of the United Mexican States (FEUM). These are of great importance since they provide guidelines to develop validations, mainly of pharmaceutical methods in the development of new drugs, or when reformulating a pharmaceutical preparation providing an alternative analysis for drugs whose form can be very complex or involves expensive equipment(7,8). In Mexico, standards have been issued, especially the NOM-059-SSA1-2015, which establishes the Good Manufacturing Practices of Medicines, and the NOM-177-SSA1-2013(6,9), which establishes the tests to demonstrate that medicine is interchangeable, both contribute to the validation of analytical methods, to demonstrate that the analytical procedure is adequate for the indicated purpose,(10) providing evidence that demonstrates whether the analytical procedures subjected to validation achieve the specifications provided by the manufacturers or institution of reference(11). On the other hand, validation ensures the quality of manufactured drugs, likewise, reduces the possibility of rejections and/or reprocesses, optimizes processes, among other benefits(12) . Methods Reagents Hydrochloric acid (HCl) brand Sigma-Aldrich, Methanol (CH3OH, MeOH) brand Meyer Chemical Reagents, Sodium hydroxide (NaOH) brand Sigma-Aldrich, Monobasic potassium phosphate (KH2PO4 + H2O) brand Meyer, potassium dichromate (K2Cr2O7) brand Reactivos Químicos Monterrey SA, Sulfuric acid (H2SO4) brand Reactivos Química Meyer. Preparation of dissolution media The first dissolution medium consisted of a mixture of HCl: MetOH both in 0.1N concentration in a 1: 1 ratio. The second medium consisted of Sigma-Aldrich brand 0.1M HCl. For the third medium, a mixture of Methanol: Water in a ratio of 15:85 v / v was used. The fourth medium consisted of a 0.2M phosphate buffer solution, pH 5.8. Once the solutions were prepared, they were stored at 40C until use. UV-Vis Spectrophotometer Verification Two types of equipment were used, one from the Velab UV / Vis brand, model VE-5600UVPC, and the second from the Perkin Elmer Precisely UV / Vis brand, Lambda 35 model. Verifying the operation of the photometric scale using a potassium dichromate solution that was prepared according to what is specified in the Pharmacopoeia of the United Mexican States(13). Cleaning glassware To avoid any interference from residues in the glassware, all the glassware was washed using a chromic mixture which was prepared according to FEUM(14). All the glassware used was washed with the mixture for 24 hours, after the time the glassware was washed with tap water and then rinsed with distilled water. For this work, quartz cells from Daigger® Scientific were used. Which were rinsed with distilled water and subsequently washed with methanol. When a deep cleaning was needed, it was increasingly used: warm distilled water, 2% (v / v) hydrochloric acid solution, alcohol, acetone, and 15% hydrochloric acid solution(14). Ars Pharm. 2022;63(2):152-165 Husain GM, Nadeem M, Javed G, et al. 154 Validation of the analytical method The validation of the analytical methodologies was carried out under the provisions of NOM-177SSA1-2013(15) and the ICH (International Conference on Harmonization) guide(16). Evaluating the parameters of linearity, precision, sample stability, and sensitivity. To evaluate the linearity of each system, a calibration curve was prepared in triplicate for three days with six different concentrations, as a calibration blank the dissolution medium was used according to the system, to obtain the maximum wavelength absorption was scanned from 200 to 400 nm(6). For the calibration curves, the following solutions were prepared, medium of 0.1N HCl dissolution in methanol 1: 1, for this medium the preparation of the acetaminophen Stock was carried out the following methodology, 50mg of the reference drug was weighed and transferred to A volumetric flask of 100 mL was dissolved with the previously prepared dissolution medium, it was capped to obtain a concentration of 0.5mg/mL. The calibration curve consisted of concentrations from 0.5 to 16 µg/mL, reading at an absorbance of 257nm. For the second methodology with the 0.1M HCl dissolution medium, 25 mg of the same reference drug were weighed and transferred to a 50 mL volumetric flask, filling with the previously prepared dissolution medium to obtain a concentration of 0.5mg / mL, 20 mL were taken from this stock solution and poured into a 100 mL volumetric flask and in the same way, it was gauged with the same dissolution medium having a final concentration of 100µg/L, the calibration curve consisted of concentrations of 2mg to 14mg/L acetaminophen, reading at an absorbance of 242 nm. For the third and fourth validation method MeOH: H2O (15:85 v / v) and phosphate buffer pH 5.8; 20 mg of the reference paracetamol was weighed and transferred to a 100 mL volumetric flask, it was dissolved with the medium of dissolution and gauged to obtain a concentration of 0.2mg/mL of the active principle, the calibration curves were constructed using concentrations of 2.5 to 14 ppm of acetaminophen, in this case, both curves were read at 243nm. All systems were prepared in triplicate, for three consecutive days. With the data of the curves it was determined: the slope (m), the ordinate to the origin (b), the correlation coefficient (r), the determination coefficient (r2), to calculate the Relative Error due to the Regression, using the equation 1(15). equation 1. In all cases the NOM indicates that in the curves the “r” must be greater than or equal to 0.99 and the ERR% must not be greater than 2%. Significance of linear regression To corroborate the significance of the linear regression(17), a statistical t-student test was performed, calculating the significant linear correlation (tr or texp), the value of the experimental t with n1 degree of freedom and a 95% confidence interval using the equation 2. equation 2. To calculate “r” was used the equation 3. Ars Pharm. 2022;63(2):152-165 Husain GM, Nadeem M, Javed G, et al. 155 equation 3. To calculate the coefficient of determination and demonstrate linearity, the acceptance criteria used were n-1 degrees of freedom and a p = 0.05 (two tails) considering a coefficient of determination greater than or equal t 0.98 and with a texp greater than the ttable. Similarly, a hypothesis test was performed for the slope, where the variance of the slope was calculated using the equation 4. equation 4. In all cases to determine the variance of the total experimental error, was used the equation 5. equation 5. In the same way, to know the standard deviation of the slope, it was calculated using the equation 6. equation 6. And for the standard deviation of the intercept, was used the equation 7 equation 7. The confidence limits of the slope and the intercept were calculated based on b ± t_table × Sb considering the value of ttable for an n-1 degrees of freedom with a significance of α = 0.05. The value of experimental t (texp) of both the slope and the intercept were calculated based on the equation 8. equation 8. Ars Pharm. 2022;63(2):152-165 Husain GM, Nadeem M, Javed G, et al. 156 For both cases the acceptance criteria were considering n-1 degrees of freedom and α = 0.05 and with acceptance criteria with a slope significantly different from zero and the texp must be greater than ttables. The intercept calculation was carried out through a proportionality test using a t-test, or this, the variance of the intercept was found through the equation 9(18). equation 9. Precision For the data obtained, the Response Factor (Fr) was calculated as Fr = Abs/Conc, from which the Percentage Variation Coefficient (CV%) of all the data of the system was determined. Considering acceptable with a CV% no greater than 2%. Sample stability To determine the analytical stability of acetaminophen (active principle) in dissolution media, triplicate solutions of the drug (acetaminophen) were prepared, taking into account the maximum and minimum concentrations of the calibration curves already described. The samples were kept at room temperature for 8 hours reading the absorbances every 2 hours, as well as in refrigerated solutions at 40C for 48 hours reading the absorbances at 0, 2, 4, 6, 8, 24, and 48 hrs. The limit calculation for a stability study in an analytical solution was determined by the equation 10. equation 10. Sensitivity The detection limit (DL) was determined with the standard deviation of the response and the slope using the following equation DL = (Y + 3σ) / S. For the quantification limit (QL), it was calculated using the standard deviation of the response and the slope through the following equation QL = (Y + 10σ) / S. For this, 10 individual measurements of the blank were prepared, that is, of each of the dissolution media, obtaining average and standard deviation. Subsequently, the formulas described were applied to obtain the DL and QL. Results and Discussion To ensure the initially obtained results, the correct operation of the spectrophotometers was verified according to the FEUM. As can be seen in Table 1, the absorbances obtained from the Velab and Perkin Elmer Precisely Lambda 35 UV / Vis spectrophotometer are within the accepted tolerance. Ars Pharm. 2022;63(2):152-165 Husain GM, Nadeem M, Javed G, et al. 157 Table 1. The photometric scale of potassium dichromate in UV / Vis Spectrophotometer. Wavelength Absorbance Accepted tolerance Results Velab Perkin Elmer Velab Perkin Elmer 235 nm (mínimo) 0.747 0.7514 0.740 – 0.756 123.3 124.0 Meet 257 nm (máximo) 0.864 0.8739 0.856 – 0.874 142.6 144.2 Meet 313 nm (mínimo) 0.293 0.294 0.289 – 0.295 48.3 48.5 Meet 350 nm (máximo) 0.642 0.6451 0.634 – 0.646 105.9 106.5 Meet Figure 1 shows the spectral sweeps of acetaminophen in 0.1 M HCl (a), MeOH: H2O (15:85 v / v) (b), and in phosphate buffer pH 5.8 (c) as means of solution, in all cases at a concentration of 10.0 ppm and in triplicate. Resulting in a maximum absorbance of acetaminophen in 0.1 M HCl of 242 nm and 243 nm, for the other two media, it is possible to see that there are no interferences in all spectra. Figure 1. Acetaminophen scans with different dissolution media. a) 0.1 M HCl, b) MeOH: H2O (15:85 v / v), and c) in phosphate buffer pH 5.8. Table 2 shows the results of the linearity parameter, observing that the dissolution medium HCl: MetOH 0.1 N (1: 1), complies with the correlation coefficient (r), however the error due to the regression does not comply with the established in NOM-177-SSA1-2013 being greater than 2% (% ERR), so this medium was discarded for the following tests. Ars Pharm. 2022;63(2):152-165 Husain GM, Nadeem M, Javed G, et al. 158 Table 2. The overall result of the validation of the drug for the linearity parameter. Parameter HCl:MeOH 0.1 N (1:1) HCl 0.1 M MeOH:H2O (15:85 v/v) Phosphate buffer pH 5.8 Acceptance requirements R 0.9993 1.0000 1.0000 1.0000 r≥ 0.99 R20.9985 0.9999 0.9999 0.9999 R2≥0.98 Ordenada (b) 0.0261 0.0005 -0.0056 0.0067 Pendiente (m) 0.0417 0.0665 0.0708 0.0694 %ERR 3.33 0.49 0.41 0.55 ERR ≤ 2 % According to NOM-177-SSA1-2013, a calibration curve was prepared in triplicate for three days with six concentrations described in the methodology, specifically in the validation section with the drug of this project (Figure 2). Figure 2. Calibration curve of acetaminophen with the three dissolution medium HCl: MeOH 0.1 N (1: 1), HCl 0.1M and MeOH:H2O (15:85) during the three days. Ars Pharm. 2022;63(2):152-165 Husain GM, Nadeem M, Javed G, et al. 159 Figure 2 and table 3 shows the results of calibration curve of acetaminophen and the linearity test for the active principle in the three-dissolution media. With the 0.1M HCl medium, an R2 (coefficient of determination) of 0.9794 and a correlation coefficient (r) of 1.0000 can be observed. However, the coefficient of determination is less than the acceptance criterion (R2 ≥ 0.98), however, the texp is greater than ttable, showing that there is a significant correlation between the variables. In the methanol: water medium and the phosphate medium, a coefficient of determination of 0.99951 and 0.9949 respectively was obtained, the coefficient of determination and the correlation coefficient is greater than the acceptance criterion, it is possible to appreciate that in the three media there is a significant correlation between concentration and absorbance because in the three cases the texp is greater than the ttable. All calibration curves show a high and very high Pearson correlation coefficient with values ranging from 0.9982 to 1.0. Table 3. Results of the linearity test of the active principle in the different dissolution media. Linearity test of the active principle Dissolution media HCl 0.1M Parameter Estimation Standar error Valor t ttable n:17 α:0.05 Acceptance requirements Results Linearity test R20.9794 R2 ≥ 0.98 Does not meet r 1 r ≥ 0.99 Meet Linearity 13.93 2.11 texp > ttable Meet Solpe test Slope 0.152 0.0057 26.7 2.11 texp > ttable Meet Proportionality test Intercept 0.0477 0.0325 1.46 2.11 texp > ttable Does not meet Dissolution media MeOH:H2O (15:85 v/v) Parameter Estimation Standar error Valor t ttable n:17 α:0.05 Acceptance requirements Results Linearity test R20.9951 R2 ≥ 0.98 Meet r 1 r ≥ 0.99 Meet Linearity 28.64 2.11 texp > ttable Meet Solpe test Slope 0.1668 0.003 55.32 2.11 texp > ttable Meet Proportionality test Intercept 0.018 0.017 1.03 2.11 texp > ttable Does not meet Ars Pharm. 2022;63(2):152-165 Husain GM, Nadeem M, Javed G, et al. 160