Detail Combination UV-VIS Spectroscopy and Partial Least Square for Detecting Adulteration Paracetamol and Piroxicam in Traditional Medicines (Article of Jurnal Farmasi Sains dan Komunitas Vol. 17 Iss. 1 May 2020 p. 41-50) Bibliografi Author: Kambira, Pretty Falena Atmanda ; Notario, Dion ; Gunawan, Untung ; Dhamayanti, Sherina ; Ningrum, Raymunanda Widia Kimla ; Ambarita, Sondang ; Polin, Grafty Topik: adulteration; paracetamol; partial least square; piroxicam; UV-vis spectroscopy Bahasa: (EN )     Tahun Terbit: 2020     Jenis: Article - diterbitkan di jurnal ilmiah nasional Fulltext: B5.pdf (850.58KB; 3 download) Abstract An analytical method based on combination UV-Vis spectroscopy and chemometric was developed for detecting commonly listed adulterants such as paracetamol and piroxicam simultaneously in traditional medicines. No complex sample preparation and separation are required except grinding, dissolving, and filtering. The spectral interferences were resolved by multivariate techniques. Wavelengths selection and number of components optimization were performed by a combination of Genetic Algorithm and Partial Least Square (GA-PLS) followed by backward elimination through Jack Knife Partial Least Square Regression (JK-PLSR). The capability PLSR model for quantitative analysis was assessed from the coefficient of determination (R) and root mean square of error prediction/cross-validation (RMSEP/RMSECV) dan predicted residual sum of square (PRESS). Classification performance of PLS Discriminant Analysis (PLS-DA) was evaluated from the area under the receiver operating characteristic curve (AUROCC). For ensuring the sensitivity of the method, the detection limits from the two pseudo-univariate lines were estimated. The R, RMSEP, RMSECV, AUROCC, and detection limit obtained from the selected models of paracetamol and piroxicam were >0.999, <0.25 mg/L, <0.15 mg/L, 100%, and <0.4 mg/L 2 respectively. Therefore, the proposed method is suitable for the rapid screening of adulterated herbal medicine. Opini Anda Klik untuk menuliskan opini Anda tentang koleksi ini! Lihat Sejarah Pengadaan  Konversi Metadata   Kembali

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