Literature DB >> 28482538

Spherical silver nanoparticles as substrates in surface-enhanced Raman spectroscopy for enhanced characterization of ketoconazole.

Mutasem M Al-Shalalfeh1, Abdulmujeeb T Onawole1, Tawfik A Saleh2, Abdulaziz A Al-Saadi1.   

Abstract

A new method was developed for the characterization and detection of ketoconazole using surface enhanced Raman spectroscopy (SERS) by designing substrates and performing the bands' assignments. Thus, spherical silver nanoparticles (Ag-NPs) were synthesized by a reduction method and designed as substrates for SERS application. The Ag-NPs were characterized using a scanning electron microscope, Fourier transformed infrared spectroscopy and a high-resolution transmission electron microscope. TEM results indicated that the average size of the Ag-NPs was 15nm. The UV spectrum showed a maximum absorbance of Ag-NPs at about 400nm. When Ag-NPs were used as substrates in SERS, the Raman spectra of KCZ showed a significant enhancement of the Raman bands. An important finding is a linear relationship between the logarithmical scale of KCZ concentration and the intensity of the SERS bands, for example at 1050cm-1 of KCZ, which is due to the CN vibration. This was optimized and utilized to develop a calibration curve, which was then used for the detection of the KCZ in real pharmaceutical samples. The method has the advantages of a wide dynamic range with a high coefficient of determination and detection limit calculated based on the signal-to-noise ratio of 3, was 2.6×10-10M and the limit of quantification was 7.8×10-10M. The potential applications that take advantage of the high SERS sensitivity of this method are discussed for practical KCZ analysis where were quantified with this method.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Computational; Ketoconazole; SERS; Silver

Mesh:

Substances:

Year:  2017        PMID: 28482538     DOI: 10.1016/j.msec.2017.03.081

Source DB:  PubMed          Journal:  Mater Sci Eng C Mater Biol Appl        ISSN: 0928-4931            Impact factor:   7.328


  3 in total

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  3 in total

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