UV-Visible Spectroscopic Technique-Data Mining Tool as a Reliable, Fast, and Cost-Effective Method for the Prediction of Total Polyphenol Contents: Validation in a Bunch of Medicinal Plant Extracts

oleh: Fathi Guemari, Salah Eddine Laouini, Abdelkrim Rebiai, Abderrhmane Bouafia, Souhaila Meneceur, Ali Tliba, Kamlah Ali Majrashi, Sohad Abdulkaleg Alshareef, Farid Menaa, Ahmed Barhoum

Format: Article
Diterbitkan: MDPI AG 2022-09-01

Deskripsi

Medicinal plants extracts are a rich natural source of bioactive phytochemicals (mainly polyphenols). This study aims at determining the total polyphenols content (TPC) of nine medicinal plants extracted using the UV-visible (UV-Vis) spectroscopic method, along with the Orange Data Mining Tool (ODMT). The TPC for the selected medicinal plant extracts (i.e., <i>Daucus carota</i> L. root, <i>Ruta Chalepensis</i> L. Leaves, <i>Anisosciadium</i> DC. Leaves, <i>Thymus vulgaris</i> L. Leaves, <i>Senna alexandrina</i> leaves, <i>Myrtus communis</i> L. leaves, <i>Silybum Marianum</i> L. Flower, <i>Silybum marianum</i> L. Leaves, and <i>Rosa moschata</i> Flower) was measured using gallic acid (GA) as a standard. The intended method requires a maximum of 1 mg of GA and only 1 mg of the plant extract. The wavelength range of the maximum absorption in the UV-vis spectrum was about 270 nm. For polyphenols, the purposed method linear dynamic concertation range (44.67 to 334.7 mg GA equivalent (GAE)/g dry weight (DW)) with a recovery percentage range of 95.3% to 104.3%, and the good regression value, was found to be R<sup>2</sup> = 0.999. This method was easy, fast, accurate, and less expensive than the conventional Folin–Ciocalteu method.