Yazar "Sezer, Banu" seçeneğine göre listele
Listeleniyor 1 - 4 / 4
Sayfa Başına Sonuç
Sıralama seçenekleri
Öğe Analysis of corn and sorghum flour mixtures using laser-induced breakdown spectroscopy(Wiley, 2021) Akin, Pervin A.; Sezer, Banu; Bean, Scott R.; Peiris, Kamaranga; Tilley, Michael; Apaydin, Hakan; Boyaci, Ismail H.BACKGROUND In a world constantly challenged by climate change, corn and sorghum are two important grains because of their high productivity and adaptability, and their multifunctional use for different purposes such as human food, animal feed, and feedstock for many industrial products and biofuels. Corn and sorghum can be utilized interchangeably in certain applications; one grain may be preferred over the other for several reasons. The determination of the composition corn and sorghum flour mixtures may be necessary for economic, regulatory, environmental, functional, or nutritional reasons. RESULTS Laser-induced breakdown spectroscopy (LIBS) in combination with chemometrics, was used for the classification of flour samples based on the LIBS spectra of flour types and mixtures using partial least squares discriminant analysis (PLS-DA) and the determination of the sorghum ratio in sorghum / corn flour mixture based on their elemental composition using partial least squares (PLS) regression. Laser-induced breakdown spectroscopy with PLS-DA successfully identified the samples as either pure corn, pure sorghum, or corn-sorghum mixtures. Moreover, the addition of various levels of sorghum flour to mixtures of corn-sorghum flour were used for PLS analysis. The coefficient of determination values of calibration and validation PLS models are 0.979 and 0.965, respectively. The limit of detection of the PLS models is 4.36%. CONCLUSION This study offers a rapid method for the determination of the sorghum level in corn-sorghum flour mixtures and the classification of flour samples with high accuracy, a short analysis time, and no requirement for time-consuming sample preparation procedures. (c) 2020 Society of Chemical IndustryÖğe Coffee arabica adulteration: Detection of wheat, corn and chickpea(Elsevier Ltd, 2018) Sezer, Banu; Apaydın, Hakan; Bilge, Gonca; Boyacı, İsmail HakkıCoffee is globally one of the most widely consumed beverages. Due to the high economic importance for the countries that produce, export and import it, its purity and detection of external impurities have been constant concern. In some cases, visual inspection is unreliable in roasted ground coffee because of resemblance in color and the texture of the cheapest fillers. The objective of this work was to evaluate the feasibility of employing Laser Induced Breakdown Spectroscopy (LIBS) for determination of coffee adulteration with chickpea, corn and wheat. For this purpose, LIBS spectra was evaluated with chemometrics methods for classification and quantification of the adulteration ratio. Coefficient of determination and limit of detection values for chickpea, corn and wheat adulteration with Coffee arabica were found as 0.996, 0.995, 0.995 and 0.56%, 0.52% and 0.45%, respectively. With LIBS, prevention of unfair competition, protection of consumers and determination of coffee quality can be achieved. © 2018 Elsevier LtdÖğe Detection of Pistacia vera adulteration by using laser induced breakdown spectroscopy(John Wiley and Sons Ltd, 2019) Sezer, Banu; Apaydın, Hakan; Bilge, Gonca; Boyacı, İsmail HakkıBACKGROUND: Pistachio has high economic value because of its high consumption rate and consumer demand. Therefore, it has become an important target for adulteration. Green pea and spinach are the most frequently used foods for pistachio adulteration as a result of their kernel color. The present study aimed to detect pistachio adulteration with green pea and spinach samples using laser induced breakdown spectroscopy (LIBS) combined with chemometric methods. RESULTS: In the first step of the study, principal component analysis was employed for qualitative analysis of pure pistachio, green pea, spinach and adulterated pistachio samples, and discrimination was achieved successfully. A score plot clearly discriminating pure pistachio, green pea and spinach samples, as well as their blind samples, was drawn using principle component (PC)1 and PC2 which explained 86.86% and 12.16% of the variance, respectively. The results showed that the calibration curve for green pea adulterated pistachio provides successful determination of adulteration level and had an R 2 of 0.995 and a limit of detection (LOD) of 2.04%, whereas the calibration curve for spinach adulterated pistachio had an R 2 of 0.993 and a LOD of 1.64%. CONCLUSION: The results of the present study demonstrate that LIBS with the chemometric methods showed a good performance based on the high value of prediction accuracy for pistachio adulteration. This technique has high potential as a rapid method for pistachio identification and detection of adulteration. © 2018 Society of Chemical Industry. © 2018 Society of Chemical IndustryÖğe Multi-elemental analysis of flour types and breads by using laser induced breakdown spectroscopy(Academic Press, 2020) Arı Akın, Pervin; Sezer, Banu; Sanal, Turgay; Apaydın, Hakan; Köksel, Hamit; Boyacı, İsmail HakkıBread and flour are most commonly used products in human diet, which makes it susceptible to adulteration, mislabeling and addition of unpermitted amount of different flour types. The objective of this work was to evaluate the potential of employing laser induced breakdown spectroscopy to differentiate different flour types and quantify the white wheat flour addition to rye and oat flour and breads. In the principal component analysis, score plot represents pure flour types with 97.64% of the variance. In the calibration study, the measured coefficient of determination values was 0.989, 0.989, 0.992 and 0.991 for refined wheat flour: rye flour, refined wheat flour: oat flour, breads made with the blend of refined wheat: rye flour and the blend of refined wheat: oat flour, respectively. The limit of detection values were calculated as 3.82, 5.97, 4.59 and 4.92% for refined wheat flour: rye flour, refined wheat flour: oat flour, refined wheat: rye bread and refined wheat: oat bread, respectively.
