Antonio J. Braza, Montserrat Viñas-Bastart, Maria Sureda-Rosich, Cecilia F. Lastra, Eduardo L. Mariño, Pilar Modamio
{"title":"A fast, reproducible and sensitive human-plasma HPLC-fluorescence method to quantify Carvedilol and the error function","authors":"Antonio J. Braza, Montserrat Viñas-Bastart, Maria Sureda-Rosich, Cecilia F. Lastra, Eduardo L. Mariño, Pilar Modamio","doi":"10.1016/j.talo.2025.100544","DOIUrl":null,"url":null,"abstract":"<div><div>A robust and sensitive bioanalytical method was developed and fully validated using reverse-phase High-Performance Liquid Chromatography (HPLC) with fluorometric detection for the quantitative analysis of carvedilol in a complex matrix (human plasma). The method demonstrated satisfactory performance within the therapeutic concentration range (3.91–125 ng/mL), showing good linearity (coefficient of variation, CV: 12.05 %), accuracy (relative error, RE: 11.51 %), and precision—both intra-day (CV: 8.31 %) and inter-day (CV: 10.84 %)—as well as a recovery rate of 89.3 %. The lower limit of quantification (LLOQ) and the limit of detection (LOD) were 1.95 ng/mL and 0.98 ng/mL, respectively. Sample stability was confirmed for up to 24 h under autosampler conditions. The method yielded a short retention time of 3.15 minutes, enabling high-throughput analysis. Once validated, an analytical error function, expressed as a standard deviation (SD), was calculated to determine the most appropriate data-weighting approach across the calibration range. The best-fitting function was linear: SD (ng/mL) = 0.322 + 0.086C. An Analytical GREEnness Metric Approach (AGREE) of the method obtained a score of 0.67, indicating a moderately green profile. Due to its simplicity, cost-effectiveness, and rapid turnaround, the method is well suited for routine clinical use and may serve as a practical tool for monitoring medication adherence in healthcare settings, including hospitals.</div></div>","PeriodicalId":436,"journal":{"name":"Talanta Open","volume":"12 ","pages":"Article 100544"},"PeriodicalIF":3.7000,"publicationDate":"2025-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Talanta Open","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666831925001468","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
引用次数: 0
Abstract
A robust and sensitive bioanalytical method was developed and fully validated using reverse-phase High-Performance Liquid Chromatography (HPLC) with fluorometric detection for the quantitative analysis of carvedilol in a complex matrix (human plasma). The method demonstrated satisfactory performance within the therapeutic concentration range (3.91–125 ng/mL), showing good linearity (coefficient of variation, CV: 12.05 %), accuracy (relative error, RE: 11.51 %), and precision—both intra-day (CV: 8.31 %) and inter-day (CV: 10.84 %)—as well as a recovery rate of 89.3 %. The lower limit of quantification (LLOQ) and the limit of detection (LOD) were 1.95 ng/mL and 0.98 ng/mL, respectively. Sample stability was confirmed for up to 24 h under autosampler conditions. The method yielded a short retention time of 3.15 minutes, enabling high-throughput analysis. Once validated, an analytical error function, expressed as a standard deviation (SD), was calculated to determine the most appropriate data-weighting approach across the calibration range. The best-fitting function was linear: SD (ng/mL) = 0.322 + 0.086C. An Analytical GREEnness Metric Approach (AGREE) of the method obtained a score of 0.67, indicating a moderately green profile. Due to its simplicity, cost-effectiveness, and rapid turnaround, the method is well suited for routine clinical use and may serve as a practical tool for monitoring medication adherence in healthcare settings, including hospitals.