Use of Dataexplorer Online for Data Processing in the Determination of Active Components of Drug




Abstract:
This paper aimed to demonstrate the use of the newly developed DataExplorer Online software for statistical analysis to evaluate the performance parameters of two different analytical techniques. Namely, HPLC−DAD (High Performance Liquid Chromatography Diode Array Detection) and spectrophotometry were used to measure the concentration of metoprolol in commercial drug tablets. The tools used for methods performance evaluation in the analysis of metoprolol were DataExplrorer Online. The online software tool DataExplorer (available at https://dataexplorer.online) was developed to support the analysis of large amounts of data and the validation of analytical methods. In addition, DataExplorer Online enables the assessment of normal distribution, which is unavoidable before ANOVA analysis. Depending on the number of examined factors, it offers One, Two, Three, and Multivariate ANOVA analysis. Therefore, DataExprorer Online is suitable for specific needs that may arise in different experimental studies. Statistical analysis in DataExprorer Online, which included checking for normal distribution and applying One way ANOVA, indicated that HPLC−DAD and spectrophotometric methods are suitable for routine analysis of metoprolol in drug tablets. Overall, results showed that HPLC−DAD and spectrophotometry contribute to precise and accurate analytical processes

CITATION:

IEEE format

M. Savanović, M. Perić, A. Bilić, S. Armaković, S. Armaković, “Use of Dataexplorer Online for Data Processing in the Determination of Active Components of Drug,” in Sinteza 2024 - International Scientific Conference on Information Technology, Computer Science, and Data Science, Belgrade, Singidunum University, Serbia, 2024, pp. 135-140. doi:10.15308/Sinteza-2024-135-140

APA format

Savanović, M., Perić, M., Bilić, A., Armaković, S., Armaković, S. (2024). Use of Dataexplorer Online for Data Processing in the Determination of Active Components of Drug. Paper presented at Sinteza 2024 - International Scientific Conference on Information Technology, Computer Science, and Data Science. doi:10.15308/Sinteza-2024-135-140

BibTeX format
Download

RefWorks Tagged format
Download