پیوندهای مفید
آمار
| تعداد نشریات | 20 |
| تعداد شماره‌ها | 1,149 |
| تعداد مقالات | 10,519 |
| تعداد مشاهده مقاله | 45,424,673 |
| تعداد دریافت فایل اصل مقاله | 11,296,696 |
A novel classification method for determination of Sertraline in pharmaceutical formulation containing different amount of excipients | ||
| Trends in Pharmaceutical Sciences | ||
| مقاله 4، دوره 7، شماره 1، خرداد 2021، صفحه 21-26 اصل مقاله (426.36 K) | ||
| نوع مقاله: Original Article | ||
| شناسه دیجیتال (DOI): 10.30476/tips.2021.90236.1081 | ||
| نویسندگان | ||
| Amirhossein Sakhteman1؛ Fatemeh Ahmadi2؛ Hamidreza Mahsouli3؛ Elahehnaz Parhizkar* 4 | ||
| 1Department of Medicinal Chemistry, School of Pharmacy, Shiraz University of Medical Sciences, Shiraz, Iran | ||
| 2Department of Pharmaceutics, School of Pharmacy, Shiraz University of Medical Sciences, Shiraz, Iran Research Center for Nanotechnology in Drug Delivery, School of Pharmacy, Shiraz University of Medical Sciences, Shiraz, Iran | ||
| 3Department of Pharmaceutics, School of Pharmacy, Shiraz University of Medical Sciences, Shiraz, Iran | ||
| 4Department of Pharmaceutics, School of Pharmacy , Shiraz University of Medical Sciences , Shiraz , Iran. | ||
| چکیده | ||
| Attenuate Total Reflectance infrared spectroscopy ATR-IR method is a routine, easy and non-time consuming approach to determine and detect drugs in pharmaceutical samples. In this study, sertraline as a widely used antidepressant drug was mixed with various amounts of tablet matrix excipients (lactose, starch and sodium lauryl sulfate that are common excipients in tablet formulations) and the amount of sertraline was assessed by ATR-IR method. At first, ATR-IR spectra data converted to normal matrix by SNV preprocessing approach and then, related signals were assessed by chemometrics model (Partial least squares discriminant analysis (PLS-DA)) with different variables. PLS-DA is able to analyze highly noisy ATR-IR data and can provide a variety of useful and accurate statistics and predictions. The model was able to determine sertraline amount in précised approach with zero error percentage when the number of the components was 7. As a result, the method was able to predict the sertraline amount and can be used in other applications of drug quantitation. | ||
| کلیدواژه‌ها | ||
| ATR-IR؛ Chemometrics؛ PLSDA؛ Sertraline | ||
| مراجع | ||
|
1. Lewis RJ, Angier MK, Williamson KS, Johnson RD. Analysis of sertraline in postmortem fluids and tissues in 11 aviation accident victims. J Anal Toxicol. 2013 May;37(4):208-16. doi: 10.1093/jat/bkt014. Epub 2013 Mar 19. PMID: 23511306. 2. Anerao A, Telange V, Bondre N, John S, Dighe V, Jagushte R. Synthesis, Characterization, Identification and Quantification of Sertraline Hydrochloride Related Impurities. Med Chem. 2016;6(11):674-81.10.4172/2161-0444.1000414 3. Yue XH, Wang Z, Tian DD, Zhang JW, Zhu K, Ye Q. Determination of Sertraline in Human Plasma by UPLC-MS/MS and its Application to a Pharmacokinetic Study. J Chromatogr Sci. 2016 Feb;54(2):195-9. doi: 10.1093/chromsci/bmv128. Epub 2015 Aug 30. PMID: 26324195. 4. Zhang M, Gao F, Cui X, Zhang Y, Sun Y, Gu J. Development and validation of an improved method for the quantitation of sertraline in human plasma using LC-MS-MS and its application to bioequivalence studies. J Chromatogr Sci. 2011 Feb;49(2):89-93. doi: 10.1093/chrsci/49.2.89. PMID: 21223631. 5. Karoui R, Downey G, Blecker C. Mid-infrared spectroscopy coupled with chemometrics: a tool for the analysis of intact food systems and the exploration of their molecular structure-quality relationships - a review. Chem Rev. 2010 Oct 13;110(10):6144-68. doi: 10.1021/cr100090k. PMID: 20804166. 6. Reich G. Near-infrared spectroscopy and imaging: basic principles and pharmaceutical applications. Adv Drug Deliv Rev. 2005 Jun 15;57(8):1109-43. doi: 10.1016/j.addr.2005.01.020. PMID: 15899537. 7. Saadatfar H, Khosravi S, Joloudari JH, Mosavi A, Shamshirband S. A New K-Nearest Neighbors Classifier for Big Data Based on Efficient Data Pruning. Mathematics. 2020; 8(2):286. doi:10.3390/math8020286 8. Wu Z, Xu E, Long J, Zhang Y, Wang F, Xu X, et al. Monitoring of fermentation process parameters of Chinese rice wine using attenuated total reflectance mid-infrared spectroscopy. Food Control. 2015;50:405-12.10.1016/j.foodcont.2014.09.028 9. Hell J, Prückler M, Danner L, Henniges U, Apprich S, Rosenau T, et al. A comparison between near-infrared (NIR) and mid-infrared (ATR-FTIR) spectroscopy for the multivariate determination of compositional properties in wheat bran samples. Food Control. 2016;60:365-9.10.1016/j.foodcont.2015.08.003 10. Kamal M, Karoui R. Analytical methods coupled with chemometric tools for determining the authenticity and detecting the adulteration of dairy products: A review. Trends Food Sci Technol. 2015;46(1):27-48.10.1016/j.tifs.2015.07.007 11. Parhizkar E, Ghazali M, Ahmadi F, Sakhteman A. PLS-LS-SVM based modeling of ATR-IR as a robust method in detection and qualification of alprazolam. Spectrochim Acta A Mol Biomol Spectrosc. 2017 Feb 15;173:87-92. doi: 10.1016/j.saa.2016.08.055. Epub 2016 Aug 31. PMID: 27599193. 12. Li J, Jiang Y, Fan Q, Chen Y, Wu R. Simultaneous determination of the impurity and radial tensile strength of reduced glutathione tablets by a high selective NIR-PLS method. Spectrochim Acta A Mol Biomol Spectrosc. 2014 May 5;125:278-84. doi: 10.1016/j.saa.2014.01.097. Epub 2014 Feb 4. PMID: 24556136. 13. Khoshneviszadeh M, Sakhteman A. Exploring quantitative structure–activity relationship (QSAR) models for some biologically active catechol structures using PC-LS-SVM and PC-ANFIS. Appl Biol Chem. 2016;59(3):433-41.10.1007/s13765-016-0180-9 14. Kemsley E. Discriminant analysis of high-dimensional data: a comparison of principal components analysis and partial least squares data reduction methods. Chemometr Intell Lab Syst. 1996;33(1):47-61.10.1016/0169-7439(95)00090-9 15. Parhizkar E, Saeedzadeh H, Ahmadi F, Ghazali M, Sakhteman A. Partial least squares-least squares-support vector machine modeling of ATR-IR as a spectrophotometric method for detection and determination of iron in pharmaceutical formulations. IJPR. 2019;18(1):72 16. Gromski PS, Muhamadali H, Ellis DI, Xu Y, Correa E, Turner ML, Goodacre R. A tutorial review: Metabolomics and partial least squares-discriminant analysis--a marriage of convenience or a shotgun wedding. Anal Chim Acta. 2015 Jun 16;879:10-23. doi: 10.1016/j.aca.2015.02.012. Epub 2015 Feb 11. PMID: 26002472. 17. Brereton RG, Lloyd GR. Partial least squares discriminant analysis: taking the magic away. J Chemometrics. 2014;28(4):213-25.10.1002/cem.2609 | ||
|
آمار تعداد مشاهده مقاله: 8,291 تعداد دریافت فایل اصل مقاله: 826 |
||