Extraction of selected minerals from Melissa officinalis L. leaves by using two-level factorial design
In this study, a two-level factorial design was used to evaluate the significant extraction parameters in achieving higher recovery yield of Cu, Fe, Mn, and Zn contents from Melissa officinalis leaves. The independent parameters were solid-to-solvent ratio, extraction temperature, and duration of ex...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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University of Kragujevac, Faculty of Science
2023-01-01
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| Series: | Kragujevac Journal of Science |
| Subjects: | |
| Online Access: | https://scindeks-clanci.ceon.rs/data/pdf/1450-9636/2023/1450-96362345051M.pdf |
| _version_ | 1797743721466298368 |
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| author | Mitić Jelena Mitić Milan |
| author_facet | Mitić Jelena Mitić Milan |
| author_sort | Mitić Jelena |
| collection | DOAJ |
| description | In this study, a two-level factorial design was used to evaluate the significant extraction parameters in achieving higher recovery yield of Cu, Fe, Mn, and Zn contents from Melissa officinalis leaves. The independent parameters were solid-to-solvent ratio, extraction temperature, and duration of extraction. The experimental data obtained were fitted to a first-order polynomial equation using multiple regression analysis and studied by appropriate statistical methods (ANOVA). The optimum extraction conditions were as follows: solid-to-solvent ratio 1:15 g/mL, extraction temperature 100°C, and extraction time 80 min. Under these conditions, the experimental concentrations were in close agreement with the value predicted by the model. The correlation coefficients of 0.9947, 0.9966, 0.9939, and 0.9957 observed between the predicted and actual values for the response variables are evidence that the regression model can represent the experimental data well. Minerals present in the extracts may be maximized when process conditions are carefully adjusted within the reported values. |
| first_indexed | 2024-03-12T14:59:30Z |
| format | Article |
| id | doaj.art-64654642e9094cc5881fdd249e0175da |
| institution | Directory Open Access Journal |
| issn | 1450-9636 2466-5509 |
| language | English |
| last_indexed | 2024-03-12T14:59:30Z |
| publishDate | 2023-01-01 |
| publisher | University of Kragujevac, Faculty of Science |
| record_format | Article |
| series | Kragujevac Journal of Science |
| spelling | doaj.art-64654642e9094cc5881fdd249e0175da2023-08-14T09:28:40ZengUniversity of Kragujevac, Faculty of ScienceKragujevac Journal of Science1450-96362466-55092023-01-0120234551641450-96362345051MExtraction of selected minerals from Melissa officinalis L. leaves by using two-level factorial designMitić Jelena0Mitić Milan1https://orcid.org/0000-0002-1310-0540University of Niš, Faculty of Science and Mathematics, Department of Biology and Ecology, Niš, SerbiaUniversity of Niš, Faculty of Science and Mathematics, Department of Chemistry, Niš, SerbiaIn this study, a two-level factorial design was used to evaluate the significant extraction parameters in achieving higher recovery yield of Cu, Fe, Mn, and Zn contents from Melissa officinalis leaves. The independent parameters were solid-to-solvent ratio, extraction temperature, and duration of extraction. The experimental data obtained were fitted to a first-order polynomial equation using multiple regression analysis and studied by appropriate statistical methods (ANOVA). The optimum extraction conditions were as follows: solid-to-solvent ratio 1:15 g/mL, extraction temperature 100°C, and extraction time 80 min. Under these conditions, the experimental concentrations were in close agreement with the value predicted by the model. The correlation coefficients of 0.9947, 0.9966, 0.9939, and 0.9957 observed between the predicted and actual values for the response variables are evidence that the regression model can represent the experimental data well. Minerals present in the extracts may be maximized when process conditions are carefully adjusted within the reported values.https://scindeks-clanci.ceon.rs/data/pdf/1450-9636/2023/1450-96362345051M.pdfextractionlemon balmfactorial designminerals |
| spellingShingle | Mitić Jelena Mitić Milan Extraction of selected minerals from Melissa officinalis L. leaves by using two-level factorial design Kragujevac Journal of Science extraction lemon balm factorial design minerals |
| title | Extraction of selected minerals from Melissa officinalis L. leaves by using two-level factorial design |
| title_full | Extraction of selected minerals from Melissa officinalis L. leaves by using two-level factorial design |
| title_fullStr | Extraction of selected minerals from Melissa officinalis L. leaves by using two-level factorial design |
| title_full_unstemmed | Extraction of selected minerals from Melissa officinalis L. leaves by using two-level factorial design |
| title_short | Extraction of selected minerals from Melissa officinalis L. leaves by using two-level factorial design |
| title_sort | extraction of selected minerals from melissa officinalis l leaves by using two level factorial design |
| topic | extraction lemon balm factorial design minerals |
| url | https://scindeks-clanci.ceon.rs/data/pdf/1450-9636/2023/1450-96362345051M.pdf |
| work_keys_str_mv | AT miticjelena extractionofselectedmineralsfrommelissaofficinalislleavesbyusingtwolevelfactorialdesign AT miticmilan extractionofselectedmineralsfrommelissaofficinalislleavesbyusingtwolevelfactorialdesign |