Abstract
Baloxavir marboxil (BXM) is a new antiviral drug that inhibits the cap-dependent endonuclease required to replicate the virus. The efficacy, quality, and safety of drug products and active pharmaceutical ingredients (APIs) may be compromised by impurities. To ensure the safety and quality of medications, it is essential to test APIs and drugs for impurities. Methods for analyzing and detecting BXM intermediates and impurities are currently unknown. Therefore, it is crucial to implement analytical methodologies and ensure the quality control of intermediates and associated compounds during the medication manufacturing and storage processes. This is necessary to enhance the overall product quality of BXM, improve its therapeutic efficacy, and reduce potential adverse effects. High-performance liquid chromatography (HPLC) was utilized to detect and quantify impurities in BXM and its intermediates in this study. The impurities were removed using column chromatography and characterized using mass spectrometry and nuclear magnetic resonance. Based on the spectral data, the structures of impurities were identified as 3,4-difluoro-2-benzenesulfinyl methyl benzoate and methyl 3,4-difluoro-2-(benzoyl oxymethyl) benzoate. A highly efficient HPLC method was designed and validated to assess its accuracy, linearity, specificity, and precision. As mentioned earlier, the results demonstrated that the methodology exhibits specificity, accuracy, and precision, with a separation degree of ≥1.5, making it suitable for routine analysis. Furthermore, the source of BXM impurities and its intermediates was confirmed by analyzing their underlying mechanism. The separation, structure identification, and mechanistic analysis of impurities are crucial in efficiently managing impurities in BXM and its intermediates. It provides technical assistance for the quality control of BXM, thereby ensuring the drug’s safety.
1 Introduction
Identifying and quantifying impurities in pharmaceutical products and active pharmaceutical ingredients (APIs) is a time-consuming procedure that occurs at multiple stages of drug development [1]. Impurities can arise from various sources, including starting materials, by-products, breakdown products, and polymorphs. APIs may contain organic and inorganic impurities and residual solvents [2]. They can arise during or after the formulation process and during the production of APIs. The presence of impurities in a drug can lead to toxicity and significant adverse effects. Additionally, these impurities might disrupt the drug’s intended function, resulting in reduced drug efficacy and potential safety concerns.
Furthermore, they may contribute to genetic mutations and teratogenic effects [3]. To assure the safety and quality of drugs, it is imperative to conduct thorough examinations for impurities in API and medicinal products. In the pharmaceutical industry, an impurity is defined as any organic material other than drug constituents or components that results from the synthesis of unwanted compounds and remains with the drug or API [4,5]. Impurities might emerge during the formulation process or due to the storage process of both formulations and APIs [6]. Any pharmaceutical product or drug material will necessarily have some level of impurity [7]. Thus, the related level must be strictly controlled and regulated. They either enhance or impair the pharmacological activity of the APIs [8].
The International Conference on Harmonization (ICH) defines a drug material impurity profile as “a description of the identifiable and unknown impurities contained in a novel pharmacological substance” [9]. In the pharmaceutical industry, impurities are defined as “substances in the product that are not the API or the excipient employed in the fabrication of the product,” which essentially means that they are unwanted chemicals that remain in trace amounts within the formulation or API and can impair its efficacy, safety, and quality, posing serious health risks [10,11]. Impurity qualification is the process of collecting and analyzing data to establish an impurity’s biological safety; this emphasizes the significance and scope of impurity profiling in pharmaceutical investigation [12,13]. Various spectroscopic and chromatographic methodologies have been employed to characterize impurities alone or in conjunction with other analytical techniques [14]. High-performance liquid chromatography (HPLC), gas chromatography (GC), and thin-layer chromatography (TLC) are analytical techniques commonly employed for the detection and analysis of impurities. The current techniques, such as TLC, have several drawbacks, including inconsistencies in detection, variations among individuals, and reduction in electronic data. Additionally, GC is particularly suitable for the analysis of highly volatile chemicals. As a result, the frequency of GC usage in purity testing of active components is lower compared to the utilization of HPLC for detection analysis. HPLC is a suitable method for analyzing various compounds with varied polarity, molecular masses, volatility, and heat sensitivity. It is particularly helpful in evaluating drug stability due to its high specificity, sensitivity, and robustness [15,16,17,18].
Baloxavir marboxil (BXM) is a novel antiviral agent with remarkable efficacy against influenza viruses. Hydrolysis of BXM produces baloxavir, an inhibitor of the cap-dependent endonuclease responsible for blocking influenza virus replication. Figure 1 depicts the molecular structure of BXM [19,20].

BXM.
The US Food and Drug Administration (FDA) approved it against influenza A and B on October 24, 2018. BXM, compared to oseltamivir, can speed the relief of influenza symptoms and shorten the duration of cure with fewer adverse effects [21]. However, varying impurities can compromise its quality and consequently its efficacy [22]. The analysis and detection methods of BXM intermediates, finished products, and impurities have not been reported. Hence, it is important to establish analytical methods and control the quality of intermediates and related substances in drug production and storage. It can improve the product quality of BXM, curative efficacy, and adverse effects. In this study, the HPLC method was developed to detect impurities in BXM and its intermediates to control the quality of BXM. This method is simple; the intermediate and related compounds can be effectively separated, and the blank solvent does not affect the intermediate’s determination.
2 Experimental
2.1 Instrumentations and chemicals
Diane liquid chromatograph U3000 (UV detector), ZORBAX SB-Phenyl C18 column (5 µm, 4.6 × 250 mm), KNAUER-AZURA HPLC system (Knauer, Germany), Ceres B preparation column (7 μm, 250 × 30 mm); Bruker AVIII 400 MHz nuclear magnetic resonance (NMR) spectrometer; Mettler TOLEDO-XSE205DU electronic balance.
Water was purified using the Milli-Q water purification system (Millipore, USA); BXM intermediate (Shandong Xinhua Pharmaceutical Co., Ltd. Zibo, China); and chromatographic methanol and analytical grade phosphoric acid were acquired from Merck (Darmstadt, Germany).
2.2 Procedure
The intermediate I reference substance (5 mg) was dissolved in methanol before being adjusted in volume (10 mL) and evenly shaken to obtain the reference substance reserve solution. The stock solutions were diluted to achieve various concentrations of reference working solutions. Furthermore, the same procedure was repeated for other intermediates. BXM intermediates are indicated in Table 1.
BXM Intermediates
BXM intermediates | Structure | IUPAC names |
---|---|---|
Starting material II |
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3,4-Difluoro-2-methylbenzoic acid |
Intermediate III |
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Methyl 3,4-difluoro-2-methylbenzoate |
Intermediate IV |
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Methyl 3,4-difluoro-2-bromomethyl benzoate |
Intermediate V |
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Methyl 3,4-difluoro-2-((phenylthio)methyl)benzoate |
Intermediate VI |
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3,4-Difluoro-2-((phenylthio)methyl)benzoic acid |
Intermediate VII |
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7,8-Difluoro-dibenzo[b,e]thiepin-11(6H)-one |
Intermediate I |
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7,8-Difluoro-6,11-dihydro-dibenzo[b,e]thiepin-11-ol |
Intermediate VIII |
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(12aR)-12-[(11S)-7,8-Difluoro-6,11-dihydrodibenzo[b,e] thiepin-11-yl]-6,8-dioxo-3,4,6,8,12,12a-hexahydro-1H-[1,4]oxazino[3,4-c]pyrido[2,1-f][1,2,4]triazin-7-benzyloxy |
Intermediate IX (Baloxavir acid) |
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(12aR)-12-[(11S)-7,8-Difluoro-6,11-dihydrodibenzo[b,e] thiepin-11-yl]-6,8-dioxo-3,4,6,8,12,12a-hexahydro-1H-[1,4]oxazino[3,4-c]pyrido[2,1-f][1,2,4]triazin-7-ol |
BXM |
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({(12aR)-12-[(11S)-7,8-Difluoro-6,11-dihydrodibenzo[b,e] thiepin11-yl]-6,8- dioxo-3,4,6,8,12,12a-hexahydro-1H-[1,4]oxazino[3,4-c]pyrido[2,1-f][1,2,4]triazin-7-yl}oxy)methylmethyl carbonate |
Next, gradient elution was carried out using the following parameters: flow rate = 1.0 mL/min; sample volume = 10 μL; detection wavelength = 210 nm; column temperature = 30°C; mobile phase A = 0.1% phosphoric acid solution with pH = 4.0; and mobile phase B = methanol, as shown in Table 2.
Percentage of mobile phases A and B
Time (min) | Mobile phase A (%) | Mobile phase B (%) |
---|---|---|
0 | 80 | 20 |
2 | 80 | 20 |
6 | 45 | 55 |
10 | 38 | 62 |
55 | 20 | 80 |
60 | 80 | 20 |
65 | 80 | 20 |
2.3 Preparation and separation
To acquire a test sample solution, 0.4 g of intermediate A1 was dissolved in 8 mL of water and acetonitrile using ultrasonic waves, followed by filtration through an organic membrane (0.45 μm). The flow rate was 30 mL/min, the UV wavelength was 268 nm, and the mobile phase consisted of 30/70 (v/v) acetonitrile/water.
2.4 Characterization and analysis of impurities
The Agilent 6520 Accurate-Mass Q-TOF (USA) performed ESI mass spectrometry in positive ion mode. Internal standard (IS) tetramethylsilane and deuterated dimethyl sulfoxide were utilized in NMR experiments. The Heteronuclear Multiple Quantum Correlation and Heteronuclear Single Quantum Correlation (HMQC and HSQC) spectra of 1H heteronuclear were acquired using the Bruker AVIII 400 MHz NMR spectrometer to categorize compounds into related groups.
2.5 Selection of wavelength
The intermediates I and others weighing 100 mg were dissolved in methanol and then diluted to a concentration of 10–20 μg/mL. Next, the scanning was performed at a wavelength ranging from 200 to 400 nm.
2.6 Specificity
One of the most important characteristics of HPLC is its specificity, which refers to the analytical method’s capacity to distinguish between the analyte and the other components in the complex mixture [23]. Each compound was dissolved in methanol at a 0.5 mg/mL concentration. Then, 10 μL of each compound was analyzed using HPLC, and the chromatogram was recorded.
2.7 Resolution
Initially, a stock solution of intermediate I was produced in methanol at 1 mg/mL. This solution was intended for use as a reserve solution of reference substance. The other intermediates’ stock methanolic solution (0.2 mg/mL) was prepared. After combining the reference and test stock solutions, methanol was added to obtain a diluted solution containing approximately 0.5 mg/mL of intermediate I and approximately 2.5 μg/mL of other intermediates. The underlined solution was a resolution test solution (system adaptability). Detection was then performed on 10 μL of the solution.
2.8 Precision
Methanolic solution (0.5 mg/mL) of intermediate I was prepared to use as a reference solution. The chromatogram was then observed after 10 μL of each compound was analyzed using HPLC. The comparative standard deviation of peak area normalized content was calculated.
2.9 Linearity
The stock solution of intermediate I was diluted in methanol to concentrations of about 0.04, 0.2072, 0.414, 0.830, 4.144, 20.72, 103.60, 518, and 708 μg/mL as the linear determination solution of intermediate. Then, 10 μL of each solution in the underlined series was analyzed using HPLC, and the chromatogram was recorded. The peak region was plotted against the concentration. The regression equation and correlation coefficient were calculated using the least squares method.
2.10 Quantification and detection limit
The sample stock solutions were serially diluted, and then, 10 μL of each diluted solution was analyzed on HPLC, and the chromatogram was recorded, with the signal-to-noise ratio of about 10:1 as the quantitative limit and the detection limit of about 3:1. The detection and quantification limits of intermediate I was evaluated.
2.11 Stability test
The stock methanolic solution of intermediate I was diluted. Then, 10 μL of each component was examined on HPLC at 0, 2, 4, 6, 8, 10, and 12 h, and the results were recorded in the chromatogram. The RSD of peak area was calculated, and the stability of intermediate I was determined.
2.12 Durability
The adaptive solution of the system was determined at flow rates of 0.9 and 1.1 mL/min and column temperatures of 28 and 32°C. Subsequently, an analysis was conducted to examine the separation of each intermediate peak.
3 Result and discussion
3.1 Method validation parameters
Validation tests were conducted to illustrate the method validation parameters, including wavelength selection, specificity, resolution, linearity, precision, and accuracy.
3.2 Wavelength selection
In this study, the absorption at a wavelength of 210 nm was measured and selected as the detecting wavelength.
3.3 Specificity
Based on the specificity findings, the recorded retention times for starting material II, intermediate III, intermediate IV, intermediate V, intermediate VI, intermediate VII, intermediate VIII, intermediate IX, and BXM were 11.090, 17.508, 19.034, 30.638, 16.893, 28.339, 38.278, 25.655, and 30.593 min, respectively.
3.4 Resolution and precision
The separation between intermediate I and other intermediates was satisfactory, with a degree of separation of ≥1.5, which satisfies the requirements. The precision of the intermediate was evaluated, which corresponded to their chromatogram area. The obtained data showed good precision of the intermediate content in this method. The results are listed in detail in Table 3.
Precision of intermediate I by HPLC
Serial number | 1 | 2 | 3 | 4 | 5 | 6 | RSD (%) |
---|---|---|---|---|---|---|---|
Intermediate I | 34,783,006 | 33,597,945 | 34,437,543 | 33,434,905 | 34,404,569 | 33,781,895 | 1.59 |
Single maximum impurity (%) | 0.19 | 0.19 | 0.20 | 0.19 | 0.20 | 0.19 | 2.68 |
3.5 Linearity
The linearity of this method was evaluated using regression analysis, which revealed that the intermediates and impurities have excellent linearity within a certain range, as shown in Table 4 and Figure 2.
Linearity of intermediate I by HPLC
Concentration (µg/mL) | 0.04 | 0.2072 | 0.414 | 0.830 | 4.144 | 20.72 | 103.60 | 518 | 708 |
Peak area | 5,336 | 18,210 | 30,464 | 57,030 | 287,545 | 1,385,080 | 5,963,807 | 30,703,402 | 43,343,479 |
linear equation | y = 60568x − 37006 | R = 0.999 |

Linearity of intermediate I by HPLC.
3.6 Limit of detection and quantification
Based on the results, the detection and quantification limits for intermediate I were 0.02 and 0.04 µg/mL, respectively.
3.7 Stability and durability
The intermediate I was relatively stable in methanol solution for 12 h, as shown in Table 5. Furthermore, the durability of the method was analyzed by separating each intermediate peak, which revealed that the separation between each peak is greater than 1.5, with good durability, as depicted in Figure 3.
Solution stability of intermediate I
Time (h) | Midbody |
---|---|
0 | 32,680,030 |
2 | 34,835,954 |
4 | 34,909,926 |
6 | 35,045,631 |
8 | 35,084,268 |
10 | 35,166,597 |
12 | 35,254,541 |
RSD (%) | 2.61 |

The separation between peaks of the intermediate 1 and impurities.
HPLC evaluations have demonstrated that the effective separation between chromatographic peaks (the separation degree >1.5) can be detected, and the intermediate and its related chemicals can be accurately quantified. In addition, HPLC is a simple, inexpensive, and user-friendly detection method [24,25,26]. The specificity, linearity, range, precision, durability, and other tests yielded satisfactory results. The emphasized data suggested that HPLC could be utilized for regular assessment and quality control of BXM intermediates and related compounds while meeting R&D and production requirements. Kedar et al. published a similar study that utilized reverse phase-HPLC to synthesize, characterize, and quantify impurities in nifedipine and its commercial forms [4,27,28]. Another HPLC-based study was published to ascertain the concentration of alogliptin benzoate in pharmaceutical dosage forms, and this method was validated following ICH and FDA specifications [29]. Their results demonstrated that the HPLC method is robust enough to reproduce precise and accurate results across a broad range of chromatographic parameters [4,29]. Another study was conducted to evaluate the stability of BXM under different stress situations per the guidelines established by the International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use (ICH). The observed effects of acid, base hydrolysis, and oxidative stress conditions were stronger on BXM than photo and heat hydrolysis [30]. In an additional investigation, a bioanalytical LC-MS/MS technique was formulated and verified to measure BXA, the biologically active compound of BXM, in the plasma of individuals without medical conditions. This method employed dolutegravir as an IS and involved the precipitation of plasma proteins using acetonitrile. The method has been demonstrated to exhibit linearity throughout the concentration range of 0.5–200.0 ng/mL. Overall, the authors proposed that this particular approach was successfully employed in examining the pharmacokinetics of BXA in a group of healthy human volunteers, demonstrating acceptable repeatability and ruggedness [31]. Our findings agreed with the literature since HPLC proved reliable for identifying and quantifying impurities in BXM and its intermediates.
3.8 Synthesis of impurities
In the synthesis of intermediate V, 2-bromomethyl-3,4-difluorobenzoic acid methyl ester and thiophenol were used as starting materials. Hence, the mechanism of impurity production can be inferred, as depicted in Figure 4. During the process of etherification, the compounds 2-bromomethyl-3,4-difluorobenzoic acid methyl ester and thiophenol underwent oxidation, resulting in the formation of an impurity, namely 3,4-difluoro-2-benzenesulfinyl methyl benzoate. Simultaneously, due to the presence of a small quantity of benzoic acid in the initial substance, the reaction between 2-bromomethyl-3,4-difluorobenzoic acid and benzoic acid resulted in the formation of an impurity known as 2-methyl-3,4-difluoro-2-(benzoyl oxymethyl) benzoate.

Mechanism of impurities formation.
3.9 Characterization of the impurities
A desirable separation effect can be attained by implementing gradient elution. Figure 3 shows that the peak corresponding to intermediate product A1 (t′ = 3.88) is significantly far from the impurity peak (t′ = 6.82). The yellowish impurities were extracted with dichloromethane and then dried under reduced pressure. The characterization of impurities was then performed.
3.9.1 Characterization of impurity 1
MS and NMR measurements were utilized to characterize impurities. Based on the high-resolution mass spectrometric (HRMS) analysis, determining impurity 1 displayed the protonated molecule [M + H]+ peak at M/z 311.0544 with an estimated molecular weight of 310.05.
1H NMR (400 MHz, CDCl3; 298 K): δ = 7.34(m, 2H), 7.25(m, overlap, 2H), 7.25 (m, overlap, 1H), 7.69(m, 1H), 7.06(m, 1H), 3.83(s, 3H), 4.56(d, J = 2.0 Hz, 2H). 13C NMR (100 MHz, CDCl3; 298 K): δ = 166.01, 151.67, 148.03, 134.72, 132.55, 130.92, 128.83, 127.59, 127.28, 126.21, 115.22, 52.41, 29.90.
The NMR and mass spectrometry results (Figures S1 and S2 of the supplemental data) showed 12 hydrogen atoms and 15 carbon atoms in this molecule. The mass-to-charge ratio (m/z) value for the [M + H]+ peak of the ionized product was determined to be 311.0544. The compound is assumed to be 2-((benzoyl oxy) methyl)-3,4-difluorobenzoate (Figure 5) based on a comprehensive analysis.

2-((Benzoyloxy) methyl)-3,4-difluorobenzoic acid methyl ester.
In order to thoroughly examine the resultant impurity structure in BXM, the hydrogen and carbon atoms were subjected to thorough characterization using analytical techniques such as Dept135, 19F, COSY, HSQC, and HMBC (Table 6, Figures S6–S10). The structure was determined to be 3,4-difluoro-2-benzenesulfinyl methyl benzoate.
HSQC and HMBC NMR spectral data of the impurity
Atom | 13C | 1H |
---|---|---|
7 | 166.02 | — |
166.01 | ||
2 | 153.47 | — |
153.37 | ||
151.77 | ||
151.67 | ||
3 | 149.76 | |
149.67 | ||
148.11 | ||
148.03 | ||
10 | 134.72 | — |
11,15 | 132.55 | 7.34 (m, 2H) |
4 | 131.00 | — |
130.92 | ||
12,14 | 128.83 | 7.25 (m, overlap, 2H) |
13 | 127.59 | 7.25 (m, overlap, 1H) |
6 | 127.36 | 7.69(m, 1H) |
127.33 | ||
127.31 | ||
127.28 | ||
5 | 126.22 | — |
126.21 | ||
1 | 115.34 | 7.06(m, 1H) |
115.22 | ||
8 | 52.41 | 3.83(s, 3H) |
9 | 29.93 | 4.56(d, J = 2.0 Hz, 2H) |
29.91 | ||
29.90 |
Upon comparing the COSY spectrum with the HMQC and DEPT spectra, it was observed that the H (δ 7.34) appeared as a multiplet, and it was proven to be associated with two protons, namely H-11 and H-15, which were associated with the C (δ 132.55). The presence of a multiplet at δ 7.25 was detected, suggesting the existence of two protons (H-12 and H-14) associated with C (δ 128.83). Another multiplet at δ 7.25 was observed, indicating the presence of a H-13 associated with carbon at δ 127.59. The multiplet observed at δ 7.69 correlated with the C at δ 127.28, assigned as H-6. H-1 was observed to appear as a multiplet at (δ 7.06) and to be related to C (δ 115.22). Three protons were detected as a singlet at (δ 3.83), and their relationship to C (δ 52.41) was verified as H-8. The occurrence of two protons at H (δ 4.56) appearing as a doublet, which is correlated with C (δ 29.90), is particularly identified as H-9.
The DEPT spectrum shows a group of primary carbon peaks; the primary carbon peak (δ 52.41) is associated with H-8 (δ 3.83), confirming it as methyl C-8. The spectrum of DEPT exhibits the presence of a group of secondary carbon peaks. The δ 29.90 signal of secondary carbon is attributed to H-9 (δ 4.56) and further confirmed as methylene C-9. Five groups of tertiary carbon peaks could be detected in the spectrum of DEPT. Tertiary carbon peak (δ 115.22) is assigned to H-1 (δ 7.06), confirming it as C-1; tertiary carbon peak (δ 127.28) is related to H-1 (δ 7.69), confirming it as C-6; tertiary carbon peak (δ 127.59) associated with H-1 (δ 7.25), confirming it as C-13; tertiary carbon peak (δ 128.83) associated with H (δ 7.25), confirming it as C-12 and C-14. The tertiary carbon peak (δ 132.55) is associated with H-1 (δ 7.34), confirming it as C-11 and C-15.
3.9.2 Characterization of impurity 2
MS and NMR measurements were utilized to characterize impurities. As shown in Figure S3 of the supplementary data, the HRMS analysis of the detected impurities reveals the protonated molecule [M + H]+ peak at M/z 307.0737 with an estimated molecular weight of 306.07.
1H NMR (400 MHz, CDCl3; 298 K): δ = 7.54 (tt, J = 7.4, 1.3 Hz, 1H), 7.99 (m,2H), 5.76(d, J = 5.8 Hz, 2H), 7.41 (m, 2H), 7.76(m, overlap, 1H), 7.76(m, 1H), 3.86(s, 3H). 13C NMR (100 MHz, CDCl3; 298 K): δ = 166.10, 165.98, 151.84, 148.93, 133.10, 129.74, 129.69, 128.39, 127.82, 127.12, 126.60, 117.07, 57.03, 52.63.
Combined with NMR (Figures S4 and S5 of the supplementary data) and mass spectrometry analysis, this compound contains 12 hydrogens and 16 carbons. The ionized product’s mass-to-charge ratio of [M + H]+ peak is 307.0737. Based on comprehensive analysis, it is speculated that the structural formula of this compound is 3,4-difluoro-2-(benzoyl oxymethyl) methyl benzoate (Figure 6).

3,4-Difluoro-2-(benzoyl oxymethyl) methyl benzoate.
To meticulously verify the resulted structure of impurity present in BXM, hydrogen, and carbon were characterized by Dept135, 19F, COSY, HSQC, and HMBC (Table 7, Figures S11–S15). The structure was then confirmed as methyl 3,4-difluoro-2-(benzoyl oxymethyl) benzoate.
HSQC and HMBC NMR spectral data of the impurity 2
Atom | 13C | 1H |
---|---|---|
10 | 166.10 | — |
7 | 166.00 | — |
165.98 | ||
2 | 153.63 | — |
153.54 | ||
151.93 | ||
151.84 | ||
3 | 150.68 | — |
150.60 | ||
149.02 | ||
148.93 | ||
14 | 133.10 | 7.54 (tt, J = 7.4, 1.3 Hz, 1H) |
11 | 129.74 | — |
12 | 129.69 | 7.99 (m, 2H) |
13 | 128.39 | 7.41 (m, 2H) |
4 | 127.84 | — |
127.82 | ||
6 | 127.20 | 7.76 (m, 1H) |
127.17 | ||
127.15 | ||
127.12 | ||
5 | 126.68 | — |
126.60 | ||
1 | 117.19 | 7.76 (m, overlap, 1H) |
117.07 | ||
9 | 57.07 | 5.76 (d, J = 5.8 Hz, 2H) |
57.06 | ||
57.04 | ||
57.03 | ||
8 | 52.63 | 3.86 (s, 3H) |
Upon comparing the COSY spectrum with the HMQC and DEPT spectra, it was observed that the signal corresponding to H-14 at δ 7.54 appeared as a triplet of triplets. This signal was connected with the carbon atom at δ 133.10. The multiplet observed at H (δ 7.99) and the associated proton at C (δ 129.69) can be assigned as H-12 and H-16, respectively. Another multiplet at δ 7.41 for two protons, identified as H-13 and H-15, is related to C (δ 128.39). The proton (H-6) exhibited a multiplet signal at δ 7.76, correlated with the C at δ 127.12. A multiplet corresponding to the proton (H-1) was detected at δ 7.76, which is shown to be correlated with the carbon signal at δ 117.07. Three protons at position H-8 were related to C (δ 52.63) as a singlet at δ 3.86. The presence of two protons of H-9 was detected as a doublet at δ 5.76, which is correlated to the carbon signal at δ 57.03.
The DEPT spectra illustrate the existence of a group of primary carbon peaks. The peak value of primary carbon (δ 52.63) is related to H-8 (δ 3.86), confirming it as methyl C-8. A group of secondary carbon peaks could be detected in the spectrum of DEPT. Furthermore, it has been shown that the methylene group at position C-9 is associated with the secondary carbon peak at δ 57.03, as evidenced by the proton signal at H-9 with a chemical shift of δ 5.76. There are five distinct clusters of tertiary carbon peaks in the DEPT spectrum. The tertiary carbon peak (δ 117.07) is linked to H-1 (δ 7.76), which has been verified as C-1; the tertiary carbon peak (δ 127.12) is linked to H-1 (δ 7.76), verified as C-6; tertiary carbon peak (δ 127.28) are linked to H-1 (δ 7.69), which has also been confirmed as C-6; the tertiary carbon peak (δ 133.10) is associated with H (δ 7.54), which is confirmed as C-14; tertiary carbon peak (δ 129.69) is related to H-1 (δ 7.99), which is identified as C-12 and C-16. The tertiary carbon peak (δ 128.39) is related to H-1 (δ 7.41), confirmed as C-13 and C-15.
4 Conclusion
To maximize the therapeutic effects and minimize the adverse effects of BXM, it is important to design analytical methodologies and implement quality control measures for intermediates and associated chemicals during the medication manufacturing and storage processes. This work utilized a validated HPLC method to identify and quantify impurities and intermediates of BXM effectively. The objective was to detect and remove these impurities from BXM. The retention time for starting material and intermediates was recorded based on the obtained results. In addition, the specificity, linearity, precision, durability, and other experiments revealed a high degree of separation (≥1.5). The separation and characterization of the observed impurities were accomplished using various approaches. Additionally, a mechanistic pathway for synthesizing these impurities was proposed, which serves as a valuable guide for efficiently managing impurities in both BXM and its intermediates. Based on the highlighted results, it is clear that the HPLC approach is simple and economical to use for routine analysis and quality control of BXM intermediates and related compounds and thus satisfies the requirements of R&D and production. It provides technical assistance for the quality control of BXM, thereby ensuring the drug’s safety.
Acknowledgments
The authors wish to appreciate the Liaoning Shuangshili Pharmaceutical Technology Co. LTD for their 2D NMR services.
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Funding information: The authors state no funding involved.
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Author contribution: All authors have accepted responsibility for the entire content of this manuscript and consented to its submission to the journal, reviewed all the results and approved the final version of the manuscript. WYY designs experiments, writes and reviews articles; WZP conducts experiments and collects data; WH reviews experimental data; MZH designs experiments and guides the revision of articles; ZZH guides and revises articles; and LJR revises and reviews articles.
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Conflict of interest: The authors declare no conflict of interest.
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Data availability statement: Data will be available upon request to the authors.
References
[1] Liu KT, Chen CH. Determination of impurities in pharmaceuticals: why and how? In Quality management and quality control-new trends and developments. London, UK: IntechOpen; 2019 Jan. p. 1–17.10.5772/intechopen.83849Search in Google Scholar
[2] Prajapati P, Agrawal YK. Analysis and impurity identification in pharmaceuticals. Rev Anal Chem. 2014 Aug;33(2):123–33.10.1515/revac-2014-0001Search in Google Scholar
[3] Ingale SJ, Sahu CM, Paliwal RT, Vaidya S, Singhai AK. Advance approaches for the impurity profiling of pharmaceutical drugs: A review. Int J Pharm Life Sci. 2011 Jul;2:7.Search in Google Scholar
[4] Kedar MS, Shirbhate MP, Sanap MS, Kankate RS, Jadhav PB, Warude BJ. Development and validation of RP-HPLC method for the estimation of process-related impurity from nifedipine. Eur J Mol Clin Med. 2020;7(8).Search in Google Scholar
[5] Pilaniya K, Chandrawanshi HK, Pilaniya U, Manchandani P, Jain P, Singh N. Recent trends in the impurity profile of pharmaceuticals. J Adv Pharm Technol Res. 2010 Jul;1(3):302–10.10.4103/0110-5558.72422Search in Google Scholar PubMed PubMed Central
[6] Venkatesan P, Valliappan K. Impurity profiling: Theory and practice. J Pharm Sci Res. 2014 Jul;6(7):254.Search in Google Scholar
[7] Saibaba SV, Kumar MS, Ramu B. Pharmaceutical impurities and their characterization: A review. Eur J Pharm Med Res. 2016;3(5):190–6.Search in Google Scholar
[8] Alsante KM, Huynh-Ba KC, Baertschi SW, Reed RA, Landis MS, Furness S, et al. Recent trends in product development and regulatory issues on impurities in active pharmaceutical ingredient (API) and drug products. Part 2: Safety considerations of impurities in pharmaceutical products and surveying the impurity landscape. AAPS PharmSciTech. 2014 Feb;15(1):237–5110.1208/s12249-013-0061-zSearch in Google Scholar PubMed PubMed Central
[9] Jiang Y, Jun-Ping X, Jian-Hong Y, Zhang ZF, Chang-Qin HU, Zhang ZR. Guidelines and strategy of the International Conference of Harmonization (ICH) and its member states to overcome existing impurity control problems for antibiotics in China. Chin J Nat Med. 2015 Jul;13(7):498–506.10.1016/S1875-5364(15)30044-3Search in Google Scholar PubMed
[10] Dhangar KR, Jagtap RB, Surana SJ, Shirkhedkar AA. Impurity profiling of drugs towards safety and efficacy: theory and practice. J Chil Chem Soc. 2017 Jun;62(2):3543–57.10.4067/S0717-97072017000200024Search in Google Scholar
[11] Rao RN, Nagaraju V. An overview of the recent trends in development of HPLC methods for determination of impurities in drugs. J Pharm Biomed Anal. 2003 Oct;33(3):335–77.10.1016/S0731-7085(03)00293-0Search in Google Scholar PubMed
[12] Shaikh T. Impurities characterization in pharmaceuticals: A review. 2019 Jul. Available at SSRN 3958603.10.2139/ssrn.3958600Search in Google Scholar
[13] Mangamma DK, Kumar BA, Priyanka YL, Veneela AS. Impurity profiling of pharmaceuticals–a review. World J Pharm Res. 2019 Jun;8:429.Search in Google Scholar
[14] Bari SB, Kadam BR, Jaiswal YS, Shirkhedkar AA. Impurity profile: Significance in active pharmaceutical ingredient. Eurasian J Anal Chem. 2007 Mar;2(1):32–53.10.12973/ejac/78054Search in Google Scholar
[15] Ahuja S, Dong M, editors. Handbook of pharmaceutical analysis by HPLC. Amsterdam, The Netherlands: Elsevier; 2005 Feb.10.1016/S0149-6395(05)80045-5Search in Google Scholar
[16] Ferrer I, Thurman EM. Liquid chromatography/time-of-flight/mass spectrometry (LC/TOF/MS) for the analysis of emerging contaminants. TrAC Trends Anal Chem. 2003 Nov;22(10):750–6.10.1016/S0165-9936(03)01013-6Search in Google Scholar
[17] Singh S, Handa T, Narayanam M, Sahu A, Junwal M, Shah RP. A critical review on the use of modern sophisticated hyphenated tools in the characterization of impurities and degradation products. J Pharm Biomed Anal. 2012 Oct;69:148–73.10.1016/j.jpba.2012.03.044Search in Google Scholar PubMed
[18] Siddiqui MR, AlOthman ZA, Rahman N. Analytical techniques in pharmaceutical analysis: A review. Arab J Chem. 2017 Feb;10:S1409–21.10.1016/j.arabjc.2013.04.016Search in Google Scholar
[19] Reina J, Reina NU. Baloxavir marboxil: A potent cap-dependent endonuclease inhibitor of influenza viruses. Rev Esp Quimioter: Publ Oficial de la Soc Esp Quimioter. 2019 Jan;32(1):1–5.Search in Google Scholar
[20] Chang A. Baloxavir Marboxil (Xofluza). Infect Dis Alert. 2019 Apr;38(7).Search in Google Scholar
[21] Ng KE. Xofluza (Baloxavir Marboxil) for the treatment of acute uncomplicated influenza. Pharm Ther. 2019 Jan;44(1):9.Search in Google Scholar
[22] Johnston A, Holt DW. Substandard drugs: A potential crisis for public health. Br J Clin Pharmacol. 2014 Aug;78(2):218–43.10.1111/bcp.12298Search in Google Scholar PubMed PubMed Central
[23] Batrawi N, Naseef H, Al-Rimawi F. Development and validation of a stability-indicating HPLC method for the simultaneous determination of florfenicol and flunixin meglumine combination in an injectable solution. J Anal Methods Chem. 2017 Jul;2017:1529280.10.1155/2017/1529280Search in Google Scholar PubMed PubMed Central
[24] Gurrani S, Prakasham K, Pasupuleti RR, Wu MT, Dong CD, Ponnusamy VK. Rapid in-syringe-based ultrasonic-energy assisted salt-enhanced homogeneous liquid-liquid microextraction technique coupled with HPLC/low-temperature evaporative light-scattering detector for quantification of sodium hyaluronate in food products. Microchem J. 2022 Jan;172:106898.10.1016/j.microc.2021.106898Search in Google Scholar
[25] Marzouk HM, Rezk MR, Gouda AS, Abdel-Megied AM. A novel stability-indicating HPLC-DAD method for determination of favipiravir, a potential antiviral drug for COVID-19 treatment; application to degradation kinetic studies and in-vitro dissolution profiling. Microchem J. 2022 Jan;172:106917.10.1016/j.microc.2021.106917Search in Google Scholar PubMed PubMed Central
[26] Abdel-Moety EM, Elragehy NA, Hassan NY, Rezk MR. Selective determination of ertapenem and imipenem in the presence of their degradants. J Chromatogr Sci. 2010 Sep;48(8):624–30.10.1093/chromsci/48.8.624Search in Google Scholar PubMed
[27] Tantawy MA, Weshahy SA, Wadie M, Rezk MR. A novel HPLC-DAD method for simultaneous determination of alfuzosin and solifenacin along with their official impurities induced via a stress stability study; investigation of their degradation kinetics. Anal Methods. 2020;12(26):3368–75.10.1039/D0AY00822BSearch in Google Scholar
[28] Rezk MR, Abdel‐Moety EM, Wadie M, Tantawy MA. Stability assessment of tamsulosin and tadalafil co‐formulated in capsules by two validated chromatographic methods. J Sep Sci. 2021 Jan;44(2):530–8.10.1002/jssc.202000975Search in Google Scholar PubMed
[29] Naseef H, Moqadi R, Qurt M. Development and validation of an HPLC method for determination of antidiabetic drug alogliptin benzoate in bulk and tablets. J Anal Methods Chem. 2018 Sep;2018:1902510.10.1155/2018/1902510Search in Google Scholar PubMed PubMed Central
[30] Gouda AS, Marzouk HM, Rezk MR, Abdel-Megied AM. Ecofriendly stability-indicating UHPLC-PDA method for determination of the new influenza antiviral prodrug Baloxavir Marboxil; application to degradation kinetic studies and structure elucidation of the major degradation products using LC-MS. Sustain Chem Pharm. 2023 Jun;33:101093.10.1016/j.scp.2023.101093Search in Google Scholar
[31] Gouda AS, Abdel-Megied AM, Rezk MR, Marzouk HM. LC-MS/MS-based metabolite quantitation of the antiviral prodrug baloxavir marboxil, a new therapy for acute uncomplicated influenza, in human plasma: Application to a human pharmacokinetic study. J Pharm Biomed Anal. 2023 Jan;223:115165.10.1016/j.jpba.2022.115165Search in Google Scholar PubMed
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