@article{WaltherKrmarLeistneretal.2023,
  author    = {Walther, Rasmus and Krmar, Jovana and Leistner, Adrian and Svrkota, Bojana and Otašević, Biljana and Malenović, Andjelija and Holzgrabe, Ulrike and Protić, Ana},
  title     = {Analytical Quality by Design: achieving robustness of an LC-CAD method for the analysis of non-volatile fatty acids},
  series = {Pharmaceuticals},
  volume    = {16},
  journal   = {Pharmaceuticals},
  number    = {4},
  issn      = {1424-8247},
  doi       = {10.3390/ph16040478},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-311265},
  year      = {2023},
  abstract  = {An alternative to the time-consuming and error-prone pharmacopoeial gas chromatography method for the analysis of fatty acids (FAs) is urgently needed. The objective was therefore to propose a robust liquid chromatography method with charged aerosol detection for the analysis of polysorbate 80 (PS80) and magnesium stearate. FAs with different numbers of carbon atoms in the chain necessitated the use of a gradient method with a Hypersil Gold C\(_{18}\) column and acetonitrile as organic modifier. The risk-based Analytical Quality by Design approach was applied to define the Method Operable Design Region (MODR). Formic acid concentration, initial and final percentages of acetonitrile, gradient elution time, column temperature, and mobile phase flow rate were identified as critical method parameters (CMPs). The initial and final percentages of acetonitrile were fixed while the remaining CMPs were fine-tuned using response surface methodology. Critical method attributes included the baseline separation of adjacent peaks (α-linolenic and myristic acid, and oleic and petroselinic acid) and the retention factor of the last compound eluted, stearic acid. The MODR was calculated by Monte Carlo simulations with a probability equal or greater than 90\%. Finally, the column temperature was set at 33 °C, the flow rate was 0.575 mL/min, and acetonitrile linearly increased from 70 to 80\% (v/v) within 14.2 min.},
  language  = {en}
}
@phdthesis{Ilko2015,
  author    = {Ilko, David},
  title     = {The use of charged aerosol detection for the analysis of excipients and active pharmaceutical ingredients},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-118377},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2015},
  abstract  = {The Corona® charged aerosol detector (CAD) is an aerosol-based detector first de-scribed by Dixon and Peterson in 2002. It is capable of detecting compounds inde-pendent from their physico-chemical properties presumed the analyte is sufficiently non-volatile. Consequently, the CAD is often applied to the analysis of substances that do not possess a suitable UV chromophore. Major drawbacks are however, the detector signal is non-linear and depending on the content of organic solvent in the mobile phase. This thesis tried to explore possible applications of the CAD for pharmaceutical analysis. Therefore, several substances from different compound classes were in-vestigated. Newly developed or existing methods were validated. Thus the perfor-mance of the CAD could be examined. Both assay and impurity determination were evaluated for their compliance with ICH Q2(R1) "Validation of Analytical Proce-dures" and the "Technical Guide for the Elaboration of Monographs". In the course of the establishment of reference substances at the EDQM, a generic screening method for the identification of organic and inorganic pharmaceutical counterions was needed. An HPLC-CAD method developed by Zhang et al. was therefore investigated for its suitability for pharmacopoeial purpose. Method valida-tion was performed. It was found that 23 ions could be separated and detected. Iden-tification was achieved via retention time of an authentic standard of the corre-sponding ions. Alternatively, peak assignment was performed by determination of the exact mass using TOF-MS. Ions could be quantified as impurities or for stoichi-ometric purpose. For the impurity control in topiramate, the performance characterstics of the CAD were compared to that of an ELSD. CAD was superior to ELSD in terms of repeata-bility, sensitivity and linearity. However, impurities could be quantified with satisfac-tory accuracy with both detectors. The application of the ELSD was not feasible due to non-reproducible spike peaks eluting after the principle peak in the chromatogram of the test solution. One of the impurities, topiramate impurity A (diacetonide), gave no or a vastly diminished signal in the ELSD and the CAD, respectively. It is evapo-rated during the detection process due to its relatively high vapor pressure. The re-sponse could be enhanced by a factor of nine via post-column addition of acetoni-trile and a lower nebulizer temperature. As the response of topiramate impurity A was still about thousand-fold lower than the response of all other impurities, its quantification was not feasible. Additionally, the HPLC-CAD was successfully vali-dated as an assay procedure for topiramate. There seems to be a great potential in the application of the CAD to the analysis of excipients as most compounds do not possess a suitable UV chromophore. Here, a simple and rapid HPLC-CAD method for the determination of polidocanol (PD) was developed. The method was successfully validated as a potential assay procedure for the Ph. Eur. as none is described in either of the two PD monographs. The same method was applied to the determination of the PD release from a pharmaceutical polymer matrix. A method for the determination of the fatty acid (FA) composition of polysorbate 80 (PS80) was developed and validated. Using the CAD and mass spectrometry, we were able to identify two new FAs in 16 batches from four manufacturers. All batch-es complied with pharmacopoeial specification. Furthermore, the overall composi-tion of the different PS80 species ("fingerprinting") and the peroxide content were determined. In addition to the chemical characterization, functionality related charac-teristics (FRCs) were determined. Correlations between chemical composition and FRCs were found. The validation data of the above mentioned methods suggests that the CAD repre-sents a viable detection technique for pharmaceutical analysis. The CAD was suffi-ciently sensitive for non-volatile analytes. Impurity control down to concentrations of 0.05 or 0.03\%, as demanded by ICH Q3A (R2), is achievable. However, the response of semi-volatile compounds may be drastically diminished. It could be confirmed that the response of the CAD is linear when the range does not exceed two orders of magnitude. Exceptions may be observed depending on the actual method setup. When the measuring range is sufficiently narrow, quantification can be done using single-point calibration which is common practice in pharmaceutical anlysis. Impuri-ties may also be quantified against a single calibration solution. However, correction factors may be needed and the accuracy is considerably lower compared to an as-say method. If a compound is to be quantified over a large concentration range, log-log transformation of the calibration curve is needed and a decreased accuracy has to be accepted.},
  subject      = {Analyse},
  language  = {en}
}
@phdthesis{Almeling2011,
  author    = {Almeling, Stefan},
  title     = {The use of aerosol-based detection systems in the quality control of drug substances},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-64722},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2011},
  abstract  = {The work presented in this thesis was mainly targeted at exploring the capabilities of evaporation based LC detectors as well as further alternatives for the control of impurities in substances not exhibiting a suitable chromophore for UV-detection. In the course of the work carried out, several new methods for the identification, impurities control and composition testing of APIs were elaborated. An evaporation based detector that entered into the field of pharmaceutical analysis in the recent years was the Evaporative Light Scattering Detector (ELSD). However, non-reproducible spikes were reported when injecting concentrated test solutions as they are usually required for the control of impurities. The reasons, for the appearance of these spikes as well as possibilities for their avoidance were explored in a systematic study. Moreover, the dependence of the detector sensitivity on different eluent composition, eluent flow-rate and ELSD settings was investigated. In the course of the revision of the Ph.Eur. monographs for aspartic acid and alanine, a C18 reversed phase ion-pair LC method using 1 mmol/L of perfluoroheptanoic acid as an ion-pair reagent and a charged aerosol detector (CAD) was developed and fully validated for the purity control of Asp. The method was capable of separating the organic acids and major amino acids known to occur as process related impurities. With a slight modification, the method was also applicable for the purity control of Ala. Based on the developed LC-CAD method for the impurity control of alanine, a comparative study of the performance characteristics of different evaporation based LC detectors, i.e. ELSD, CAD and the recently developed Nano Quantity Analyte Detector (NQAD) was carried out. Additionally, an MS detector and qNMR were included in this study. It was found that the control of impurities in Alanine at an ICH conform level could be ensured using LC coupled to CAD, MSD and NQAD detection as well as by the use of qNMR. In terms of performance, prize and ease of use CAD and NQAD were found to be the most suitable alternatives. In terms of repeatability and sensitivity, the CAD appeared slightly superior to the NQAD. The quality of streptomycin sulfate is not sufficiently controlled by the current Ph.Eur. monograph in that an appropriate test for the control of the related substances is missing. A study was carried out to develop a C18 reversed phase ion-pair LC method using pentafluoropropionic acid as an ion-pair reagent and a CAD for the identification and control of the related substances. The developed method allowed the separation of 21 impurities from streptomycin. Moreover, coupling of the method to MS allowed the identification of the separated impurities. The method was shown to be sufficiently sensitive to control the related substances with a disregard limit of 0.1\% as it is normally applied in the Ph.Eur. for products derived from fermentation. Currently, the aescin content of horse-chestnut standardized dry extract is determined using a complex and laborious photometric determination. A more selective LC-UV assay determination for beta-aescin has been proposed for the Ph.Eur. draft monograph of horse-chestnut standardized dry extract. Possibilities were explored to further improve the LC-method using detection by CAD. It was demonstrated that by the use of a modified LC-CAD method several problems related to the differences in the UV-response of the various components contained in the active aescin fraction could be eliminated. Moreover the proposed reference standard strategy was reviewed. Eventually, it was demonstrated on the example of two different clusters of pharmacologically active peptides how low energy collision induced dissociation mass spectrometry (low energy CID-MS) can successfully be used for identification testing in pharmacopoeial monographs. In this respect, the combination of a direct confirmation of the molecular mass via the m/z-ratio of the molecule ions with structural sequence information obtained by low energy CID-MS experiments was found to deliver a higher degree of certainty of the identity of a given substance than the set of tests currently described in the monographs. A significant gain in efficiency and throughput and important reduction of the amount of sample consumed during testing were identified as being additional advantages of this approach. Taken together, it could be demonstrated on various examples how recent technological advancements in the field of analytical chemistry can contribute to improve the quality control of APIs.},
  subject      = {Elektronensprayionisations-Massenspektrometrie},
  language  = {en}
}