کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5130860 1490850 2017 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Determination of aqueous antibiotic solutions using SERS nanogratings
موضوعات مرتبط
مهندسی و علوم پایه شیمی شیمی آنالیزی یا شیمی تجزیه
پیش نمایش صفحه اول مقاله
Determination of aqueous antibiotic solutions using SERS nanogratings
چکیده انگلیسی


- Laser interference lithography was used to produce 1D periodic plasmonic structures (nanogratings).
- Surface-enhanced Raman scattering (SERS) was obtained from solutions of antibiotics with different concentrations.
- Advanced chemometrics was used to identify the spectral features and quantify each antibiotic in the mixture.

The emergence of antibiotics and their active metabolites in aquatic ecosystem has motivated the development of sensitive and reliable sensors to monitor traces of antibiotics and metabolites in drinking water sources (i.e. surface water). The surface enhanced Raman scattering (SERS) technique, which is widely recognized as a high sensitivity method for molecular vibrational detection, is potentially a powerful tool for trace environmental contamination analysis. The main goal of this work is to demonstrate pharmaceutical and metabolite multiplexing detection using the SERS approach. Periodic metallic nanostructures were fabricated using laser interference lithography (LIL) and used as SERS substrates (platform that supports the SERS effect). The LIL method allowed excellent substrate-to-substrate geometric parameters variations; for instance, the variations in periodicity were determined to be less than 1%. A common fluoroquinolone (FQ) parent-and-metabolite pair, enrofloxacin (ENRO) and ciprofloxacin (CIPRO), was targeted for multiplexing detection on the relative uniform substrates fabricated by LIL. The quantifications of the analytes mixtures were achieved by chemometric analysis (i.e. non-negative matrix factorization with alternating least square algorithm (NMF-ALS)). The limit of the quantification (LOQ) of the present method is in the ppm-level with less than 10% spatial variation in the SERS signal.

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ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Analytica Chimica Acta - Volume 982, 22 August 2017, Pages 148-155
نویسندگان
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