Development and Validation of High-Performance Liquid Chromatography Method for the Quantification of Remdesivir in Intravenous Dosage Form.

Corona virus disease 2019 (COVID-19) has posed a mounting threat to public health with worldwide outbreak caused by a novel virus named severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Recently, remdesivir (RDV) has been approved by Food and Drug Administration (FDA) for treating COVID-19 patients ≥12 years old requiring hospitalization. To the best of our knowledge, a simple method to estimate RDV in the pharmaceutical formulations using high-performance liquid chromatography (HPLC) is still unexplored, highlighting the need for a precise analytical method for its quantification. The prime purpose of the current investigation was to develop and validate a well-grounded HPLC method for quantification of RDV in pharmaceutical formulations. The best chromatogram was obtained by means of an Inertsil ODS-3V column using a mobile phase of milli-Q water modified to pH 3.0 with o-phosphoric acid and acetonitrile (50:50, % v/v) at a flow rate of 1.2 mL/min and wavelength of detector set at 246 nm with retention time being achieved at 6.0 min. The method was validated following International Council for Harmonization of Technical Requirements for Pharmaceuticals for Human Use (ICH) Q2 (R1) guidelines for various parameters such as specificity and selectivity, system suitability, linearity, precision, accuracy, limits of detection and quantification, and robustness. The method developed for the quantification of RDV was found to be linear in the concentration range of 25-2,500 ng/mL with limit of detection and limit of quantification of 1.95 and 6.49 ng/mL, respectively. Assay value of 102% ± 1% was achieved for marketed injectable dosage form when estimated by the validated method. Therefore, in this study a simple, rapid, sensitive, selective, accurate, precise, and robust analytical method was developed and validated for the quantification of RDV using HPLC. The established method was successfully employed for quantification of RDV in marketed pharmaceutical formulation.

Development and Validation of a Simple and Rapid Ultrahigh-Performance Liquid Chromatography Tandem Spectrometry Method for the Quantification of Hydroxychloroquine in Plasma and Blood Samples in the Emergency Context of SARS-CoV-2 Pandemic.

ABSTRACT: Therapeutic drug monitoring of hydroxychloroquine (HCQ) has been recommended to optimize the treatment of patients with COVID-19. The authors describe an ultrahigh-performance liquid chromatography tandem spectrometry method developed in a context of emergency, to analyze HCQ in both human plasma and blood samples. After adding the labeled internal standard and simple protein precipitation, plasma samples were analyzed using a C18 column. Blood samples required evaporation before analysis. The total chromatographic run time was 4 minutes (including 1.5 minutes of column equilibration). The assay was linear over the calibration range (r2 > 0.99) and up to 1.50 mcg/mL for the plasma samples (5.00 mcg/mL for the blood matrix). The limit of quantification was 0.0150 mcg/mL for plasma samples (0.05 mcg/mL blood matrix) with accuracy and precision ranging from 91.1% to 112% and from 0.750% to 11.1%, respectively. Intraday and interday precision and accuracy values were within 15.0%. No significant matrix effect was observed in the plasma or blood samples. This method was successfully applied to patients treated for COVID-19 infection. A simple and rapid ultrahigh-performance liquid chromatography tandem spectrometry method adapted to HCQ therapeutic drug monitoring in the context of SARS-CoV-2 infection was successfully developed and validated.

Quantitative analysis of RNA by HPLC and evaluation of RT-dPCR for coronavirus RNA quantification.

Nucleic acid detection and quantification have been known to be important at various fields, from genetically modified organisms and gene expression to virus detection. For DNA molecules, digital PCR has been developed as an absolute quantification method which is not dependent on external calibrators. While when it comes to RNA molecules, reverse transcription (RT) step must be taken before PCR amplification to obtain cDNA. With different kinds of reverse transcriptase (RTase) and RT reaction conditions being used in laboratory assays, the efficiency of RT process differs a lot which led variety in quantification results of RNA molecules. In this study, we developed HPLC method combined with enzymatic digestion of RNA to nucleotides for quantification of RNA without RT process. This method was metrologically traceable to four nuceloside monophosphate (NMP) Certification Reference Materials of National Institute of Metrology, China (NIMC) for insurance of accuracy. The established method was used to evaluate the reverse transcription digital polymerase chain reaction (RT-dPCR) of three target genes of Middle East Respiratory Syndrome Coronavirus (MERS-CoV) RNA, including open reading frame 1ab (ORF1ab), nucleocapsid protein (N) and envelope protein (E) gene. Three available RT kits had been evaluated and disparities were observed for the RT efficiency varied from 9% to 182%. It is thus demonstrated that HPLC combined with enzymatic digestion could be a useful method to quantify RNA molecules and evaluate RT efficiency. It is suggested that RT process should be optimized and identified in RNA quantification assays.

Estimation of the uncertainty of values assigned to calibration materials prepared in-house: An example for hydroxychloroquine calibrators in blood-hemolysate-based matrix.

BACKGROUND: Hydroxychloroquine is an antimalarial drug that has been prescribed for the treatment of patients with COVID-19 infection. To assist in clinician decision-making, several clinical laboratories have developed and validated measurement procedures in-house based on HPLC or HPLC-MS/MS to measure the mass concentration of hydroxychloroquine in different biological fluids. In these cases, laboratories produce their calibration materials but rarely estimate the measurement uncertainty of their assigned values. Thus, we aimed to show how this uncertainty can be calculated, using the preparation of hydroxychloroquine calibrators in blood-hemolysate-based matrix as an example. METHODS: A bottom-up approach was used to estimate the uncertainty related to the values assigned to end-user calibration materials prepared in-house. First, a specification of the measurand and a measurement equation were proposed. Then, different sources of uncertainty related to the preparation of hydroxychloroquine calibration materials were identified and quantified. Afterwards, the combined uncertainty was calculated using the law for the propagation of uncertainty resulting in the final expanded uncertainty. RESULTS: In this study, the most significant source of uncertainty was that associated with the hydroxychloroquine's reference material mass obtained via balance, while the smallest contribution was from the uncertainty associated with the hydroxychloroquine reference material purity. CONCLUSIONS: A simple procedure to estimate the measurement uncertainty of values assigned to calibration materials is presented here, which would be easy to implement in clinical laboratories. Also, it could be put into practice for other pharmacological quantities measured by in-house HPLC or HPLC-MS/MS procedures commonly used in clinical laboratories.