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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 Zinc and Magnesium Levels of Pregnant Women with Restless Leg Syndrome and Their Relationship with Anxiety: A Case-Control Study(Humana Press Inc, 2021) Yildirim, Engin; Apaydin, HakanRestless leg syndrome (RLS) is a multifactorial movement disorder, and pregnancy is seen as a risk factor. This study aims to determine the clinical and psychiatric causes of RLS with a case-control study. The hemogram, biochemistry data, thyroid function tests, and serum element levels of healthy pregnant women (n = 134) and pregnant women diagnosed with RLS (n = 119) were compared. Total Ca, Mg, K, and Na concentrations were measured with an inductively coupled plasma optical emission spectrometry (ICP-OES), and an atomic absorption spectrophotometer was used to measure total concentrations of Zn in all samples. The Beck Anxiety Inventory (BAI), the Beck Depression Inventory (BDI), and the Pittsburg Sleep Quality Index (PSQI) scores were also compared in both groups. Sonographic measurements showed that the fetal biparietal diameter and femur lengths were higher in the RLS group (p = 0.001,p = 0.048, respectively), and abortion history was higher in the RLS group (p = 0.016). Magnesium and zinc levels were lower (p < 0.001 for both) and BAI and PSQI scores were higher (p < 0.001 for both) in the RLS group, and there was no difference between the BDI (p = 0.269) scores. A statistically significant relationship was detected between the BAI and RLS scores in the control and RLS groups (p < 0.001 for both). This is the first study to show that magnesium and zinc deficiency may play a role in the etiology of RLS during pregnancy; the results also showed adverse perinatal outcomes such as high miscarriage.