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Continuous Wavelet Transforms for Simultaneous Spectral Determination of Trimethoprim and Sulphamethoxazole in Tablets

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Date

2011

Journal Title

Journal ISSN

Volume Title

Publisher

Springer

Open Access Color

Green Open Access

No

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No
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Abstract

A new signal processing approach was developed to improve the simultaneous spectrophotometric determination of trimethoprim (TMP) and sulphamethoxazole (SMX) in their binary mixtures without using any chemical pre-treatment. This approach was essentially based on the continuous wavelet transform (CWT) of the absorption spectra of the target compounds and their samples. A set of continuous wavelet transforms was applied. Biorthogonal with 2.4 order (BIOR2.4), Coiflets with 2 order (COIF2), Daubechies with 3 order (DB3) and Haar (HAAR) were found to be suitable for the quantitative resolution of the two-component mixture containing TMP and SMX compounds. The confirmation of the determination results obtained by applying the BIOR2.4, COIF2, DB3 and HAAR wavelet families was achieved by first derivative spectrophotometry (DS1) analysis of the same mixtures. The validation of the above-mentioned signal processing methods was tested by analyzing various binary mixtures of the related compounds, and by using the standard addition technique. The simultaneous determination of TMP and SMX in commercial tablets was assessed by using the proposed signal processing tools.

Description

Keywords

Continuous Wavelet Transforms, Binary Mixture, Trimethoprim, Sulphamethoxazole, Tablets

Fields of Science

02 engineering and technology, 0210 nano-technology, 01 natural sciences, 0104 chemical sciences

Citation

Dinç, E...et al. (2011). Continuous wavelet transforms for simultaneous spectral determination of trimethoprim and sulphamethoxazole in tablets. Journal Of The Iranian Chemical Society, 8(1), 90-99.

WoS Q

Q3

Scopus Q

Q2
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OpenCitations Citation Count
7

Source

Journal of the Iranian Chemical Society

Volume

8

Issue

1

Start Page

90

End Page

99
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CrossRef : 6

Scopus : 12

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Mendeley Readers : 11

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12

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Web of Science™ Citations

7

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Page Views

2

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0.88047397

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