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JCR 2016
جستجوی مقالات
پنجشنبه 27 آذر 1404
Iranian Journal of Chemistry and Chemical Engineering
، جلد ۴۳، شماره ۷، صفحات ۲۶۴۹-۲۶۵۹
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عنوان انگلیسی
Chemometrics Assisted UV Spectrophotometry for the Quantitative Determination of Metformin and Sitagliptin in Commercial Sample Compare to HPLC Analysis
چکیده انگلیسی مقاله
In this study, simple, quick, accurate, precise, and eco-friendly spectrophotometric methods were proposed for the simultaneous analysis of metformin (MET) and sitagliptin (STG) in prepared binary mixtures and their combined dosage form. These proposed methods were based on Partial Least Squares (PLS) and Continuous Wavelet Transform (CWT). The mean recovery and Root Mean Square Error (RMSE) of the PLS approach were 101.11%, 100.37% and 0.231, 0.963 for MET and STG, respectively. The CWT was over the concentration range of 6–12 and 5–160 μg/mL with a coefficient of determination (R
2
) of 0.9987 and 0.9999 for MET and STG, respectively. The Daubechies (Db2) and Symlet (Sym3) wavelet families with wavelengths of 236 nm and 245 nm were considered the best families for MET and STG, respectively. The limit of detection (LOD) and limit of quantification (LOQ) of CWT were found to be 0.4081, 2.6094 μg/mL and 1.0612, 5.3023 μg/mL for MET and STG, respectively. The mean recovery percentage was 99.91 and 100.16, for MET and STG, respectively in mixtures. The analysis of variance (ANOVA) test confirmed that there are no significant differences between the proposed and High-Performance Liquid Chromatography (HPLC) methods, which can be used for routine simultaneous determination of MET and STG in commercial tablets.
کلیدواژههای انگلیسی مقاله
Spectrophotometry,partial least squares,Continuous Wavelet Transform,Metformin,Sitagliptin
نویسندگان مقاله
Atiyeh Darbandi |
Department of Chemistry, North Tehran Branch, Islamic Azad University, Tehran, I.R. IRAN
Mahmoud Reza Sohrabi |
Department of Chemistry, North Tehran Branch, Islamic Azad University, Tehran, I.R. IRAN
نشانی اینترنتی
https://ijcce.ac.ir/article_711684_1bb3b7ef1ae2a856e287344d5328513c.pdf
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