Preparation, Optimization, and Characterization of CuInS2 quantum dots by a D-optimal Design

سال انتشار: 1397
محل انتشار: مجله بین المللی فناوری نانو در آب و محیط زیست، دوره: 3، شماره: 4
کد COI اختصاصی: JR_JWENT-3-4_004
زبان مقاله: انگلیسی
تعداد مشاهده: 805

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نویسندگان

Mahzad Mirzaei

Faculty of Chemical Engineering, Nanotechnology Research Institute, Babol University of Technology, Babol, Iran

Reza Khanbabaie

Department of Physics, Faculty of Basic Sciences, Babol University of Technology, Babol, Iran

Mohsen Jahanshahi

Faculty of Chemical Engineering, Nanotechnology Research Institute, Babol University of Technology, Babol, Iran

Ghasem Najafpour Darzi

Faculty of Chemical Engineering, Biotechnology Research Lab., Babol University of Technology, Babol, Iran

چکیده

Recently, safety concerns over the handling of nanomaterials have become an important issue. The aim ofthe present study was to optimize the key parameters in the hydrothermal synthesis of CuInS2 quantumdots (QDs) as a non-toxic alternative to the cadmium-based QDs, that historically had dominated theliterature. Response surface methodology (RSM) in combination with eliminate the D-optimal design wasapplied to optimize the synthesis and evaluate the Photoluminescence (PL) intensity as the responsewhich is described by a reduced quadratic equation. The relationship between the PL intensity andindependent variables (ligand/precursor, reaction time, reaction temperature, pH, and precursors ratio)was investigated using reduced quadratic polynomial equation. The produced QDs in the optimumcondition were analyzed by UV-Vis, FESEM, and FTIR. The results showed that the nanoparticles havea high PL intensity and a red shift in both emission and absorption spectra which is a splendid pointfor their applications, especially in bioimaging. The interaction between variables was not significantand the temperature was the most effective variable of PL intensity. A good agreement between modelpredictedand experimental data confirmed the correlated model.

کلیدواژه ها

CuInS2 QDs, Optimization, Response Surface Methodology, D-Optimal Design

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