Browsing by Author "Bozkurt H."
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Item Ohmic and conventional heating of pomegranate juice: Effects on rheology, color, and total phenolics(2009) Yildiz H.; Bozkurt H.; Icier F.Ohmic heating is an alternative fast-heating method especially for liquid foods. In this study, pomegranate juice samples, prepared by two different extraction methods, were heated ohmically by matching the same thermal history, with that of the conventional method. The ohmic heating application was conducted by changing the voltage gradient (10-40 V/cm) at 50 Hz. The samples were heated from 20 ° C to 90°C and held at 90 °C for different treatment times (0, 3, 6, 9 or 12 min). Although rheological properties, color, and total phenolic content (TPC) values changed at the initial heating up period, there were no significant changes during holding period (p < 0.05). Non-Newtonian (power law) rheology model had higher regression coefficient than Newtonian model, and the extraction method affected the consistency of pomegranate juice samples (p < 0.05). Color values of juice extracted from arils (APJ) was better than that of juice extracted from whole fruits (PPJ), as PPJ contained higher amount of TPC (p < 0.05). Since the heating method did not affect the rheological properties, color, and TPC values, it could be said that there was no electrical effect rather than thermal effects during ohmic heating of pomegranate juice. Ohmic heating could be recommended as an alternative fast-heating method for fruit juices. © 2009 SAGE Publications.Item The prevalence of microalbuminuria and relevant cardiovascular risk factors in Turkish hypertensive patients(2011) Kozan Ö.; Özcan E.E.; Sancaktar O.; Kabakci G.; Sözcüer A.H.; Kerpeten A.; Delice A.; Içli A.; Sökmen A.; Gürlek A.; Abaci A.; Bayram A.; Köşüş A.; Çamsari A.; Sakalli A.; Sert A.; Temizhan A.; Yilmaz A.; Daver A.; Aydinlar A.; Ergin A.; Kiliçoǧlu A.E.; Birdane A.; Aribaş A.; Lazoǧlu A.; Özdemir A.; Fiskeci A.; Çelik A.; Bitigen A.; Keskin A.; Yavuz A.; Akyüz A.; Karanfil A.; Ünsal A.; Sinci A.; Gülmez A.U.; Irmak A.; Vural A.; Güven A.; Ilerigelen B.; Erol B.; Polat B.; Tosun B.; Aǧçal C.; Genç C.; Kirdar C.; Rezzagil C.; Köz C.; Nazli C.; Ceyhan C.; Örem C.; Uyan C.; Türkoǧlu C.; Gaffari D.; Aytekin D.; Ural D.; Yeşilbursa D.; Aras D.; Semiz E.; Koçak E.; Atalar E.; Varol E.; Onrat E.; Şensoy E.; Acartürk E.; Akarca E.; Aygün E.; Ertaş F.S.; Koca F.; Özmen F.; Ulusoy F.V.; Özerkan F.; Inceer F.K.; Dönmez G.; Topkara G.; Daş G.; Bozkurt H.; Kültürsay H.; Tikiz H.; Akgöz H.; Kaymak H.; Öney H.; Yeǧin H.; Boǧa H.; Gök H.; Vural H.; Atasever H.; Arinç H.; Bozdemir H.; Gündüz H.; Tunar H.; Atmaca H.; Doǧru I.; Özdoǧru I.; Susal I.; Kurt I.T.; Dinçer I.; Biyik I.; Tandoǧan I.; Jordan J.; Kulan K.; Şahna K.; Öztaş K.; Dönmez K.; Övünç K.; Kaya K.; Aytemir K.; Özdemir K.; Tigen K.; Saraç L.; Sirkeci M.T.; Çakmak M.; Şahin M.; Kutlu M.; Bilge M.; Bostan M.; Melek M.; Sunay M.Ö.; Şeker M.; Güçel M.Ş.; Yazici M.; Kayikçioǧlu M.; Öç M.; Gürsürer M.; Daǧalp M.; Bilaloǧlu M.; Yalçin M.; Şerifi M.; Gökçe M.; Kiliçkap M.; Polat M.; Şan M.; Tahtasiz M.; Yilmaz M.; Etemoǧlu M.; Coşkun N.; Aran N.S.; Ata N.; Sönmez N.; Çam N.; Koylan N.; Özer N.; Keser N.; Döven O.; Tartanoǧlu O.; Ergene O.; Elönü O.H.; Onbaşili O.A.; Özbek Ö.; Pinar P.; Akdemir R.; Kargin R.; Topsakal R.; Yoldaş R.; Uçar R.; Ateşal S.; Toktaş S.; Cinsoy S.; Güleç S.; Aytekin S.; Çolak S.; Mecit S.; Sakalli S.; Sevimli S.; Topaloǧlu S.; Aydoǧdu S.; Turan S.C.; Kahraman S.; Yorganci S.; Coşkun Ş.; Ünal Ş.; Durmaz T.; Ulusoy T.; Keleş T.; Kirat T.; Gündoǧdu T.T.; Peker T.; Sümerkan U.; Aytekin V.; Koca V.; Çam V.; Gökçe V.; Gürlertop Y.; Balbay Y.; Çavuşoǧlu Y.; Erzurum Y.; Selçoki Y.; Yakar Y.; Işilak Z.; Tosun Z.; Kaplan Z.; Tartan Z.Objectives: A growing body of data illustrates the importance of microalbuminuria (MAU) as a strong predictor of cardiovascular risk in the hypertensive population. The present study was designed to define the prevalence of MAU and associated cardiovascular risk factors among Turkish hypertensive outpatients. Study design: Representing the Turkish arm of the multinational i-SEARCH study involving 1,750 sites in 26 countries around the world, a total of 1,926 hypertensive patients from different centers were included in this observational and cross-sectional survey study. Patients with reasons for a false-positive MAU test were excluded. The prevalence of MAU was assessed using a dipstick test, and patients were inquired about comorbidities, comedication, and known cardiovascular risk factors. Results: The overall prevalence of MAU was 64.7% and there was no difference between genders. Most of the patients (82.5%) had uncontrolled hypertension, 35.6% had dyslipidemia, and 35.5% had diabetes, predominantly type 2. Almost one-third of the patients (26.4%) had at least one cardiovascular-related comorbidity, with 20.3% having documented coronary artery disease (CAD). Almost all patients (96.8%) had one or more risk factors for cardiovascular disease in addition to hypertension, including family history of myocardial infarction or CAD, diabetes, dyslipidemia, lack of physical exercise, and smoking. A trend towards higher MAU values in the presence of CAD was determined. Conclusion: Microalbuminuria tests should be routinely used as a screening and monitoring tool for the assessment of subsequent cardiovascular morbidity and mortality among hypertensive patients. © 2011 Turkish Society of Cardiology.Item Processing of Fruits and Fruit Juices by Novel Electrotechnologies(2012) Evrendilek G.A.; Baysal T.; Icier F.; Yildiz H.; Demirdoven A.; Bozkurt H.Recent demands from consumers for fresh-like quality foods with less and/or no artificial additives have introduced innovative processing technologies. These technologies due to their potential for food processing with preservation of important properties may cause to introduce new products in the market, to improve the competitiveness of the food, to eliminate the use of some artificial food additives, and to reduce energy cost. Pulsed electric fields for microbial and enzyme inactivation, shelf-life extension, moderate electric fields for yield and extraction, and ohmic heating are among these novel technologies that are based on the application of electric current on food materials. It has been well established that these technologies can successfully be applied to different food products. Among all, fruit juices have special importance due to the suitability of their physical properties to be processed by the electrotechnologies. This article covers the fundamentals of these technologies, their current use, research activities, and trends. © 2011 Springer Science + Business Media, LLC.Item A new method for computer-assisted detection, definition and differentiation of the urinary calculi(Informa Healthcare, 2014) Yildirim D.; Ozturk O.; Tutar O.; Nurili F.; Bozkurt H.; Kayadibi H.; Karaarslan E.; Bakan S.Purpose: Urinary stones are common and can be diagnosed with computed tomography (CT) easily. In this study, we aimed to specify the opacity characteristics of various types of calcified foci that develop through the urinary system by using an image analysis program. With this method, we try to differentiate the calculi from the non-calculous opacities and also we aimed to present how to identify the characteristic features of renal and ureteral calcules. Materials and methods: We obtained the CT studies of the subjects (n = 48, mean age = 41 years) by using a dual source CT imaging system. We grouped the calculi detected in the dual-energy CT sections as renal (n = 40) or ureteric (n = 45) based on their locations. Other radio-opaque structures that were identified outside but within close proximity of the urinary tract were recorded as calculi "mimickers". We used ImageJ program for morphological analysis. All the acquired data were analyzed statistically. Results: According to thorough morphological parameters, there were statistically significant differences in the angle and Feret angle values between calculi and mimickers (p < 0.001). Multivariate logistical regression analysis showed that Minor Axis and Feret angle parameters can be used to distinguish between ureteric (p = 0.003) and kidney (p = 0.001) stones. Conclusions: Computer-based morphologic parameters can be used simply to differentiate between calcular and noncalcular densities on CT and also between renal and ureteric stones. © 2014 Informa Healthcare USA, Inc. All rights reserved.