Browsing by Author "Koksel, Hamit"
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Article Citation Count: 37Ash analysis of flour sample by using laser-induced breakdown spectroscopy(Pergamon-elsevier Science Ltd, 2016) Eseller, Kemal Efe; Sezer, Banu; Eseller, Kemal Efe; Berberoglu, Halil; Koksel, Hamit; Boyaci, Ismail Hakki; Department of Electrical & Electronics EngineeringAsh content is,a measure of total mineral content in flour. It is also an important quality parameter in terms of nutritional labeling as well as processing properties of various cereal products. However, laboratory analysis takes a long time (5-6 h) and results in considerable waste of energy. Therefore, the aim of the study was to develop a new method for ash analysis in wheat flour by using laser induced breakdown spectroscopy (LIBS). LIBS is a multi-elemental, quick and simple spectroscopic method. Unlike basic ash analysis method, it has the potential to analyze a sample in a considerably short time. In the study, wheat flours with different ash contents were analyzed using LIBS and the spectra were evaluated with partial least squares (PLS) method. The results were correlated with the ones taken from standard ash analysis method. Calibration graph showed good linearity with the ash content between 0.48 and 1.39%, and 0.992 coefficient of determination (R-2). Limit of detection for ash analysis was calculated as 0.026%. The results indicated that LIBS is a promising and reliable method with high sensitivity for routine ash analysis in flour samples. (C) 2016 Elsevier B.V. All rights reserved.Article Citation Count: 25Determination of Ca addition to the wheat flour by using laser-induced breakdown spectroscopy (LIBS)(Springer, 2016) Eseller, Kemal Efe; Sezer, Banu; Eseller, Kemal Efe; Berberoglu, Halil; Koksel, Hamit; Boyaci, Ismail Hakki; Department of Electrical & Electronics EngineeringThe aim of the study was to determine Ca addition to the flour by using laser-induced breakdown spectroscopy (LIBS) as a quick and simple multi-elemental spectroscopy method. Different amounts of CaCO3-added wheat flour were analyzed using LIBS to determine Ca content and Ca/K ratio, which is used for discrimination of natural and Ca-added flour. LIBS spectra were quantitatively evaluated with partial least square (PLS) method as a multivariate data analysis method to eliminate the matrix effect. Ca and Ca/K calibration graphs of PLS method showed good linearity with coefficient of determinations (R (2)) 0.999. Limit of detection values for Ca and Ca/K analysis were calculated as 25.9 ppm and 0.013, respectively. Furthermore, the results were found to be consistent with the data obtained from atomic absorption spectroscopy method as a reference method for flour samples.