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Volume 4
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10.3390/analytica4010005
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Communication

Baseline Correction for HPLC Chromatograms by Using Free Open-Source Software

by
Kostas Gkountanas
1,2,
Ioanna Dagla
3,
Evangelos Gikas
4,
Anđelija Malenović
5 and
Yannis Dotsikas
1,*
1
Laboratory of Pharmaceutical Analysis, Faculty of Pharmacy, National and Kapodistrian University of Athens, Panepistimioupoli Zografou, GR-157 71 Athens, Greece
2
401 Military Hospital of Athens, Leof. Panagioti Kanellopoulou, GR-115 25 Athens, Greece
3
GAIA Research Center, Bioanalytical Department, The Goulandris Natural History Museum, GR-145 62 Kifissia, Greece
4
Laboratory of Analytical Chemistry, School of Chemistry, National and Kapodistrian University of Athens, Panepistimioupoli Zografou, GR-157 71 Athens, Greece
5
Department of Drug Analysis, Faculty of Pharmacy, University of Belgrade, Vojvode Stepe 450, 11152 Belgrade, Serbia
*
Author to whom correspondence should be addressed.
Analytica 2023, 4(1), 45-53; https://doi.org/10.3390/analytica4010005
Submission received: 29 December 2022 / Revised: 13 January 2023 / Accepted: 29 January 2023 / Published: 8 February 2023
(This article belongs to the Collection Analytical and Applied Chemistry: the challenges and opportunities for growth in the 21st century)
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Abstract

Chromatograms with overlapping peaks and a baseline rise or upset constitute a great challenge for analysts. Such a case regarding the analysis of bupropion hydrochloride and its 5 impurities in a tablet formulation was used as a model. A baseline correction technique for liquid chromatography coupled with diode array detection is described by using Rstudio. The asymmetry least squares (ALS) algorithm was used as implemented in the “baseline” package, with parameters lambda and p set to 4 and 0.05, respectively. Peak deconvolution and subsequent integration and area quantification were accomplished through Fytik software. Chromatographic data from the validation procedure were utilized to demonstrate the feasibility of the suggested method and whether this correction affects the outcome of the validation study. Finally, a robustness study was carried out in order to shed light on the factors that have a more significant influence on the baseline correction, showing the reliability of this procedure through random changes in its parameters.
Keywords: data processing; peak integration; baseline correction; asymmetry least squares algorithm; experimental design; robustness testing data processing; peak integration; baseline correction; asymmetry least squares algorithm; experimental design; robustness testing

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MDPI and ACS Style

Gkountanas, K.; Dagla, I.; Gikas, E.; Malenović, A.; Dotsikas, Y. Baseline Correction for HPLC Chromatograms by Using Free Open-Source Software. Analytica 2023, 4, 45-53. https://doi.org/10.3390/analytica4010005

AMA Style

Gkountanas K, Dagla I, Gikas E, Malenović A, Dotsikas Y. Baseline Correction for HPLC Chromatograms by Using Free Open-Source Software. Analytica. 2023; 4(1):45-53. https://doi.org/10.3390/analytica4010005

Chicago/Turabian Style

Gkountanas, Kostas, Ioanna Dagla, Evangelos Gikas, Anđelija Malenović, and Yannis Dotsikas. 2023. "Baseline Correction for HPLC Chromatograms by Using Free Open-Source Software" Analytica 4, no. 1: 45-53. https://doi.org/10.3390/analytica4010005

APA Style

Gkountanas, K., Dagla, I., Gikas, E., Malenović, A., & Dotsikas, Y. (2023). Baseline Correction for HPLC Chromatograms by Using Free Open-Source Software. Analytica, 4(1), 45-53. https://doi.org/10.3390/analytica4010005

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