Quantitative analysis of topical gels and ointments by FT-Raman spectroscopy

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• 作者：Sylwester Mazurek ; Roman Szostak ; ^{roman.szostak@chem.uni.wroc.pl" class="auth_mail" title="E-mail the corresponding author}
• 关键词：API ; active pharmaceutical ingredient ; CLS ; classical least squares ; IBU ; ibuprofen ; MNT ; menthol ; MES ; methyl salicylate ; NAP ; naproxen ; PAT ; process analytical technology ; PC ; principal component ; PCA ; principal component analysis ; PCR ; principal component regression ; PLS ; partial least squares ; RMSECV ; root mean square error of cross-validation ; RSEP ; relative standard error of prediction ; SNV ; standard normal variate
• 刊名：Vibrational Spectroscopy
• 出版年：2016
• 出版时间：March 2016
• 年：2016
• 卷：83
• 期：Complete
• 页码：1-7
• 全文大小：611 K

文摘

A method for quantitative determination of ibuprofen (IBU), naproxen (NAP), methyl salicylate (MES) and menthol (MNT) in commercial topical gels and ointments using partial least squares (PLS) models based on FT-Raman spectra is described. The calculated relative standard errors of prediction (RSEP) were found to be in the range of 2.1–3.2% for the calibration and validation data sets. Two commercial topical gels containing 5.0% of IBU and 10% of NAP (w/w), as well as one ointment containing 15% of MES and 10% of MNT (w/w) as active pharmaceutical ingredients (APIs), were successfully quantified using the developed models with recoveries in the 99.2–101.5% range. The proposed procedure can be used as a fast, reliable and economic method for the quantification of APIs in topical gels and ointments.