Analysis of Flavonoid in Medicinal Plant Extract Using Infrared Spectroscopy and Chemometrics
Infrared (IR) spectroscopy combined with chemometrics has been developed for simple analysis of flavonoid in the medicinal plant extract. Flavonoid was extracted from medicinal plant leaves by ultrasonication and maceration. IR spectra of selected medicinal plant extract were correlated with flavono...
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| Format: | Article |
| Language: | English |
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Wiley
2016-01-01
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| Series: | Journal of Analytical Methods in Chemistry |
| Online Access: | http://dx.doi.org/10.1155/2016/4696803 |
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| author | Lestyo Wulandari Yuni Retnaningtyas Nuri Hilmia Lukman |
| author_facet | Lestyo Wulandari Yuni Retnaningtyas Nuri Hilmia Lukman |
| author_sort | Lestyo Wulandari |
| collection | DOAJ |
| description | Infrared (IR) spectroscopy combined with chemometrics has been developed for simple analysis of flavonoid in the medicinal plant extract. Flavonoid was extracted from medicinal plant leaves by ultrasonication and maceration. IR spectra of selected medicinal plant extract were correlated with flavonoid content using chemometrics. The chemometric method used for calibration analysis was Partial Last Square (PLS) and the methods used for classification analysis were Linear Discriminant Analysis (LDA), Soft Independent Modelling of Class Analogies (SIMCA), and Support Vector Machines (SVM). In this study, the calibration of NIR model that showed best calibration with R2 and RMSEC value was 0.9916499 and 2.1521897, respectively, while the accuracy of all classification models (LDA, SIMCA, and SVM) was 100%. R2 and RMSEC of calibration of FTIR model were 0.8653689 and 8.8958149, respectively, while the accuracy of LDA, SIMCA, and SVM was 86.0%, 91.2%, and 77.3%, respectively. PLS and LDA of NIR models were further used to predict unknown flavonoid content in commercial samples. Using these models, the significance of flavonoid content that has been measured by NIR and UV-Vis spectrophotometry was evaluated with paired samples t-test. The flavonoid content that has been measured with both methods gave no significant difference. |
| format | Article |
| id | doaj-art-2095e28284c4456b999b3ca01562dffa |
| institution | Kabale University |
| issn | 2090-8865 2090-8873 |
| language | English |
| publishDate | 2016-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Analytical Methods in Chemistry |
| spelling | doaj-art-2095e28284c4456b999b3ca01562dffa2025-02-03T01:32:50ZengWileyJournal of Analytical Methods in Chemistry2090-88652090-88732016-01-01201610.1155/2016/46968034696803Analysis of Flavonoid in Medicinal Plant Extract Using Infrared Spectroscopy and ChemometricsLestyo Wulandari0Yuni Retnaningtyas1Nuri2Hilmia Lukman3Faculty of Pharmacy, University of Jember, Jember, East Java 68121, IndonesiaFaculty of Pharmacy, University of Jember, Jember, East Java 68121, IndonesiaFaculty of Pharmacy, University of Jember, Jember, East Java 68121, IndonesiaFaculty of Pharmacy, University of Jember, Jember, East Java 68121, IndonesiaInfrared (IR) spectroscopy combined with chemometrics has been developed for simple analysis of flavonoid in the medicinal plant extract. Flavonoid was extracted from medicinal plant leaves by ultrasonication and maceration. IR spectra of selected medicinal plant extract were correlated with flavonoid content using chemometrics. The chemometric method used for calibration analysis was Partial Last Square (PLS) and the methods used for classification analysis were Linear Discriminant Analysis (LDA), Soft Independent Modelling of Class Analogies (SIMCA), and Support Vector Machines (SVM). In this study, the calibration of NIR model that showed best calibration with R2 and RMSEC value was 0.9916499 and 2.1521897, respectively, while the accuracy of all classification models (LDA, SIMCA, and SVM) was 100%. R2 and RMSEC of calibration of FTIR model were 0.8653689 and 8.8958149, respectively, while the accuracy of LDA, SIMCA, and SVM was 86.0%, 91.2%, and 77.3%, respectively. PLS and LDA of NIR models were further used to predict unknown flavonoid content in commercial samples. Using these models, the significance of flavonoid content that has been measured by NIR and UV-Vis spectrophotometry was evaluated with paired samples t-test. The flavonoid content that has been measured with both methods gave no significant difference.http://dx.doi.org/10.1155/2016/4696803 |
| spellingShingle | Lestyo Wulandari Yuni Retnaningtyas Nuri Hilmia Lukman Analysis of Flavonoid in Medicinal Plant Extract Using Infrared Spectroscopy and Chemometrics Journal of Analytical Methods in Chemistry |
| title | Analysis of Flavonoid in Medicinal Plant Extract Using Infrared Spectroscopy and Chemometrics |
| title_full | Analysis of Flavonoid in Medicinal Plant Extract Using Infrared Spectroscopy and Chemometrics |
| title_fullStr | Analysis of Flavonoid in Medicinal Plant Extract Using Infrared Spectroscopy and Chemometrics |
| title_full_unstemmed | Analysis of Flavonoid in Medicinal Plant Extract Using Infrared Spectroscopy and Chemometrics |
| title_short | Analysis of Flavonoid in Medicinal Plant Extract Using Infrared Spectroscopy and Chemometrics |
| title_sort | analysis of flavonoid in medicinal plant extract using infrared spectroscopy and chemometrics |
| url | http://dx.doi.org/10.1155/2016/4696803 |
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