کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1235941 1495287 2007 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Non-destructive determination of metronidazole powder by using artificial neural networks on short-wavelength NIR spectroscopy
موضوعات مرتبط
مهندسی و علوم پایه شیمی شیمی آنالیزی یا شیمی تجزیه
پیش نمایش صفحه اول مقاله
Non-destructive determination of metronidazole powder by using artificial neural networks on short-wavelength NIR spectroscopy
چکیده انگلیسی

The present study aimed at providing a new method in sight into short-wavelength near-infrared (NIR) spectroscopy of in pharmaceutical quantitative analysis. To do that, 124 experimental samples of metronidazole powder were analyzed using artificial neural networks (ANNs) in the 780–1100 nm region of short-wavelength NIR spectra. In this paper, metronidazole was as active component and other two components (magnesium stearate and starch) were as excipients. Different preprocessing spectral data (first-derivative, second-derivative, standard normal variate (SNV) and multiplicative scatter correction (MSC)) were applied to establish the ANNs models of metronidazole powder. The degree of approximation, a new evaluation criterion of the networks was employed to prove the accuracy of the predicted results. The results presented here demonstrate that the short-wavelength NIR region is promising for the fast and reliable determination of major component in pharmaceutical analysis.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy - Volume 66, Issues 4–5, April 2007, Pages 1327–1332
نویسندگان
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