Universal quantification method of degradation impurities in 16-membered macrolides using HPLC-CAD and study on source of the impurities

Impurities in Active Pharmaceutical Ingredients and Drug Products: A Critical Review

The presence of impurities in active pharmaceutical ingredients (APIs) and drug products represents a risk to patients' health. Such substances are related to diverse side effects and may have mutagenic potential. That's why it is necessary to establish acceptable limits for these by-products, to minimize the risk associated with medicinal therapy. This work focused on presenting a critical review of relevant points related to the presence of impurities in pharmaceuticals. The main legislation and guidelines from the FDA, EMA, ICH, and Pharmacopeias about the subject were evaluated, and recent articles related to the topic were searched in Scopus, ScienceDirect, PubMed, and Web of Science from 2013 to 2023. Additionally, the analytical techniques used for quantifying impurities were discussed, along with relevant tests for assessing the toxicological and mutagenic risks of these by-products. Recent legislation, including ICH Q3A (R2), ICH Q3B (R2), ICH M7 (R2), ICH Q3D (R2), ICH Q3C (R9), ICH Q3E, ICH Q6A, ICH M3 (R2), as well as FDA and EMA guidelines, highlights a comprehensive and effective framework for controlling impurities in pharmaceuticals. Despite this, there remains a lack of harmonization and standardized procedures across different regions. From the review of scientific literature, we observed that advancements in analytical techniques have significantly improved the sensitivity and selectivity in detecting impurities and degradation products. This underscores the ongoing commitment of health agencies and the pharmaceutical industry to ensure the safety and efficacy of medicinal products.

HPLC-CAD as a supplementary method for the quantification of related structure impurities for the purity assessment of organic CRMs

In organic purity assessment, chromatography separation with a suitable detector is required. Diode array detection (DAD) has been a widely used technique for high-performance liquid chromatography (HPLC) analyses, but its application is limited to compounds with sufficient UV chromophores. Charged aerosol detector (CAD), as a mass-dependent detector, is advantageous for providing a nearly uniform response for analytes, regardless of their structures. In this study, 11 non-volatile compounds with/without UV chromophores were analyzed by CAD using continuous direct injection mode. The RSDs of CAD responses were within 17%. For saccharides and bisphenols, especially, the RSDs were lower (2.12% and 8.14%, respectively). Since bisphenols exist in UV chromophores, their HPLC-DAD responses were studied and compared with CAD responses, with CAD showing a more uniform response. Besides, the key parameters of HPLC-CAD were optimized and the developed method was verified using a Certified Reference Material (CRM, dulcitol, GBW06144). The area normalization result of dulcitol measured by HPLC-CAD was 99.89% ± 0.02% (n = 6), consistent with the certified value of 99.8% ± 0.2% (k = 2). The result of this work indicated that the HPLC-CAD method could be a good complementary tool to traditional techniques for the purity assessment of organic compounds, especially for compounds lacking UV chromophores.

The Quality Control of Midecamycin and the Predictive Demarcation between Its Impurities and Components

Midecamycin is a 16-membered macrolide antibiotic. It can inhibit the synthesis of bacterial proteins by blocking up the activity of peptidyl transferase in the 50S ribosome. We used high-resolution mass spectrometry to analyze midecamycin, and quantitatively analyzed of each component of midecamycin produced by 18 different companies. The developed methods were validated by assessing linearity, limit of quantitation (LOQ), accuracy, precision, and robustness. Good separations were achieved for all components. Ten components of midecamycin were identified, and the contents of these components were determined in midecamycin produced by different companies. The demarcation between impurities and components of midecamycin was not clear. A ligand-docking model was used for predicting the impurities and components of midecamycin. Components and impurities were docked with the target. The results reported in this article may be important for quality control and the predictive demarcation between impurities and components of midecamycin.

Identification and direct determination of fatty acids profile in oleic acid by HPLC-CAD and MS-IT-TOF

Oleic acid is a pharmaceutical excipient and has been widely used in many dosage forms. It remains unclear in terms of the fatty acids (FAs) profile. In this study, a sensitive and direct method based on high-performance liquid chromatography coupled with charged aerosol detector (HPLC-CAD) was developed to study the compositions of oleic acid. The chromatographic conditions were optimized to achieve good separation and high sensitivity. The components of oleic acid were identified by ion trap/time of flight mass spectrometry (MS-IT-TOF). Twenty-seven FAs were identified based on the exact mass-to-charge ratio and fragments, among which 13 FAs were confirmed with the reference standards. Nine FAs in the oleic acid samples including oleic acid, linolenic acid, myristic acid, palmitoleic acid, linoleic acid, palmitic acid, stearic acid, arachidic acid and behenic acid were simultaneously determined by the developed HPLC-CAD, which showed good linearity with r²>0.999. The limit of detection (LOD) and limit of quantification (LOQ) of 9 FAs were 0.006-0.1 μg mL^-1 and 0.032-0.22 μg mL^-1, respectively. The components with concentration level not less than 0.03 % (referring to the sample concentration of 1.0 mg mL^-1) can be quantified. The mean recovery values of 9 FAs ranged from 96.5%-103.6% at three concentration levels of 80 %, 100 % and 120 %. The repeatability and intermediate precision were less than 5.0 % for oleic acid and components with concentration levels more than 0.05 %. In contrast to the conventional pre-column derivatization gas chromatography (GC), HPLC-CAD could unbiasedly and directly detect more components, especially the FAs with long carbon chains. Overall, the developed novel HPLC-CAD method can ameliorate the deficiency of the indirect GC method recorded in current pharmacopeias, thus having great potential for the comprehensive understanding and quality control of oleic acid.

Quantitative analysis of impurities in leucomycin bulk drugs and tablets: A high performance liquid chromatography-charged aerosol detection method and its conversion to ultraviolet detection method

Toxic impurities were found in leucomycin and its preparation, however the content determination of impurities was challengeable due to the lacking of their reference standards. In this study, we developed high-performance liquid chromatography method coupled with charged aerosol detection (CAD) for the quantification of related substance of leucomycin (kitasamycin) bulk drugs and tablets, however, the CAD was not yet popular. In order to carry out quantitation work conveniently in the laboratory without CAD instruments, a high-performance liquid chromatography method coupled with ultraviolet (UV) detection was developed with the assistant of the HPLC-CAD results. The relative response of impurities on CAD chromatogram was used for guiding the establishment of HPLC-UV method, which could achieve the quantitation task in the absence of impurity reference standards. The developed HPLC-UV method was validated according to the ICH guideline and showed good precision, reproducibility and linearity with determination coefficient higher than 0.9999. The limit of detection and quantitation were 0.3 and 0.5 μg mL^-1, respectively. The recoveries were 92.9 %-101.5 % at the spiked concentration levels of 0.1 %, 0.8 %, 1.0 and 1.2 % with relative standard deviations (RSDs, n = 3) lower than 2.0 %. Finally, the developed HPLC-CAD and -UV methods were compared by the determination of impurities in several batches of leucomycin bulk drugs and tablets. The results demonstrated that the developed HPLC-UV method was simple and reliable. This study developed methods to quantify the related substance in leucomycin and tablets, and discussed a strategy of the conversion of HPLC-CAD method to HPLC-UV method. The developed methods could be considered for implementation into pharmacopeial monographs in the future.

Power function setting in charged aerosol detection for the linearization of detector response - optimization strategies and their application

Charged aerosol detection (CAD) is an universal technique in liquid chromatography that is increasingly used for the quality control of drugs. Consequently, it has found its way into compendial monographs promoted by its simple and robust application. However, the response of CAD is inherently nonlinear due to its principle of function. Thus, easy and rapid linearization procedures, in particular regarding compendial applications, are highly desirable. One effective approach to linearize the detector's signal makes use of the built-in power function value (PFV) setting of the instrument. The PFV is basically a multiplication factor to the power law exponent of the equation describing the CAD's response, thereby altering the detector's signal output to optimize the quasi-linear range of the response curve. The experimental optimization of the PFV for a series of analytes is a time-consuming process, limiting the practicability of this approach. Here, two independent approaches for the determination of the optimal PFV based on an empirical model and a mathematical transformation in each case, are evaluated. Both approaches can be utilized to predict the optimal PFV for each analyte solely based on the experimental results of a series of calibration standards obtained at a single PFV. The approaches were applied to the HPLC-UV-CAD impurity analysis of the drug gabapentin to improve the observed nonlinear response of the impurities in the range of interest. The predicted optimal PFV of both approaches were in good agreement with the experimentally obtained optimal PFV of the analytes. As a result, the accuracy of the method was significantly improved when using the optimal PFV (90 - 105% versus 81 - 115% recovery rate for quantitation by either single-point calibration or linear regression) for the majority of the analytes. The final method with a PFV adjusted to 1.30 was validated with respect to ICH guideline Q2(R1).

Universal response method for the quantitative analysis of multi-components in josamycin and midecamycin using liquid chromatography coupled with charged aerosol detector

Josamycin and midecamycin are consisted of three groups of components with different ultraviolet maximum absorption wavelengths (λ_max), which are 231 nm, 280 nm and 205 nm. The quantitative analysis of all these components is challengeable due to the absence of the respective reference substances. To address this problem, universal and reliable methods were developed using high performance liquid chromatography coupled with charged aerosol detector (HPLC-CAD) for the quantitative analysis of components in josamycin and midecamycin. The chromatographic conditions and CAD parameters setting were optimized. Subsequently, the components were identified using HPLC coupled with ion trap/time-of-flight mass spectrometry (IT/TOF MS). The developed methods were validated by assessing linearity, limit of quantitation (LOQ), accuracy, precision and robustness. Good separations were achieved for all components and the adjustment of the filter valve and power function value efficiently improved sensitivity. The developed methods were more comprehensive than current HPLC-UV method. The experimental results demonstrated good linearity with coefficients of determination (R²) greater than 0.999 in the range of 0.002-0.30 mg mL^-1. The limits of detection (LOD) were ranging from 1.8 to 2.0 μg·mL^-1. The intra-day and inter-day RSD values were less than 2.0 % (n = 6) and 5.6 % (n = 9) respectively. The recoveries were 95.0 %-124.0 % at the spiked concentration levels of 0.05 %, 0.50 %, 0.10 % and 2.5 % with relative standard deviations (RSDs, n = 3) lower than 2.0 %. Finally, the developed methods were successfully applied to the quantitative analysis of minor components and used main components (leucomycin A₃ and midecamycin A₁) as alternative reference substance of minor components. The overall results demonstrated that the HPLC-CAD was a good alternative for the quantitative analysis of multi-components in 16-membered macrolides.