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    Comparison of QCT and DEXA findings for lumbar vertebra in young adults and the elderly
    (Sage Publications Ltd, 2024) Acikgoz, Gunes; Bora, Aydin; Nur, Sureyya
    Background: The use of dual-energy X-ray absorptiometry (DEXA) and quantitative computed tomography (QCT) methods are important for the diagnosis and follow-up of osteoporosis, and are used especially in cases to determine the degree of osteoporosis and the risk of fracture, monitoring the effectiveness of the treatment applied. Purpose: To compare the parameters measured using the DEXA method from the lumbar (L1-L4) vertebrae and the Hounsfield unit (HU) values measured with QCT at the same levels among young adults and the elderly. Material and Methods: The study included 155 patients (age range = 26-93 years). A total of 57 (36.8%) patients (age range = 26-64 years) were defined as the first group, and 98 (63.2%) patients (aged >= 65 years) were defined as the second group. T-test and correlation analysis were performed to compare bone mineral density (BMD), T score, and HU values measured using DEXA and QCT. Results: A statistically significant difference was found between T score, lumbar total BMD, and HU values according to age and sex (P < 0.05). When the values measured from lumbar vertebrae were compared using both DEXA and CT, a high correlation was found between them. Conclusion: In the study, it was observed that QCT attenuation measurements of the lumbar spine measured between different age groups provided reliable results in terms of BMD scanning, as in DEXA. It should be noted that QCT has a longer imaging time and higher radiation dose compared to DEXA, and unnecessary scans should be avoided.
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    Determination of Ethanol in Blood Samples Using Partial Least Square Regression Applied to Surface Enhanced Raman Spectroscopy
    (Springer Heidelberg, 2018) Acikgoz, Gunes; Hamamci, Berna; Yildiz, Abdulkadir
    Alcohol consumption triggers toxic effect to organs and tissues in the human body. The risks are essentially thought to be related to ethanol content in alcoholic beverages. The identification of ethanol in blood samples requires rapid, minimal sample handling, and non-destructive analysis, such as Raman Spectroscopy. This study aims to apply Raman Spectroscopy for identification of ethanol in blood samples. Silver nanoparticles were synthesized to obtain Surface Enhanced Raman Spectroscopy (SERS) spectra of blood samples. The SERS spectra were used for Partial Least Square (PLS) for determining ethanol quantitatively. To apply PLS method, 920-820 cm(-1) band interval was chosen and the spectral changes of the observed concentrations statistically associated with each other. The blood samples were examined according to this model and the quantity of ethanol was determined as that: first a calibration method was established. A strong relationship was observed between known concentration values and the values obtained by PLS method (R-2 = 1). Second instead of then, quantities of ethanol in 40 blood samples were predicted according to the calibration method. Quantitative analysis of the ethanol in the blood was done by analyzing the data obtained by Raman spectroscopy and the PLS method.
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    Determination of ethyl glucuronide (EtG) in blood samples using partial least squares discriminant analysis applied to surface-enhanced Raman spectroscopy
    (Elsevier, 2020) Acikgoz, Gunes; Hamamci, Berna
    Consumption of alcohol and problems related to alcohol vary widely around the world. Especially illegally produced and distributed alcohols have a great risk for human health, since they include high quantity of toxic substances. Ethanol measurements have high specificity for excessive alcohol intake. Ethyl Glucuronide (EtG) is considered as a direct biomarker of recent ethanol consumption. The study aims to identify EtG in blood samples by using Raman Spectroscopy. Silver colloidal nanoparticles were synthesized to obtain SERS (Surface-Enhanced Raman Spectroscopy) spectra of blood samples and EtG. PLS-DA (Partial Least Squares Discriminant Analysis) models were built on the collected SERS spectra. It is observed that EtG and the blood samples taken from people using alcohol are in the same group and the blood samples taken from no alcohol users are in a separate cluster from EtG. The sources of data variability are modelled by the so-called Latent Variables (LVs). The percentage of LVs were found to be 29.53% and 8.34%, respectively. In the study, it has been observed that the level of EtG changes according to the level of ethanol in blood samples. However, there is no study on the detection of EtG in blood with Raman spectroscopy. Outcomes of the present study encourage the feasibility of the application of Raman Spectroscopy for determination of EtG in blood samples.
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    Illicit Drug Analysis in Blood Samples with Multivariate Analysis Using Surface-Enhanced Raman Spectroscopy
    (Mjh Life Sciences, 2023) Acikgoz, Gunes; Colak, Abdullah
    This study aims to discriminate different types of illicit drugs ( MDMA and THC) in blood samples using surface- enhanced Raman spectroscopy ( SERS) combined with chemometric techniques including principal components analysis (PCA) and par tial least squares discriminant analysis (PLS- DA). A PLS- DA classification model was built using a training data set containing Raman spectra from control and experimental groups (drug-detected blood). PLS- DA was performed for discrimination and classification among blood samples. The scores obtained in the PLS- DA model were used to evaluate the performance of the created model. The leave one out cross-validation (LOOCV) method was used for calibration and validation of the PLS-DA model. In the study, it was observed that the SERS method and chemometric techniques together could be used in drug analysis, even at low concentrations in complex body fluids such as blood. As a result, Raman spectroscopy with PCA and PLS- DA methods of data analysis could be used extensively to build similar or different classification models.
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    Molecular genotyping of Echinococcus granulosus sensu stricto from human Echinococcal cysts in Hatay, Turkiye
    (Academic Press Inc Elsevier Science, 2023) Hamamci, Berna; Acikgoz, Gunes; Cetinkaya, Uelfet; Kilic, Erol; Kocal, Sedat; Karaaslan, Kerem; Yetim, Tuelin Durgun
    Cystic echinococcosis (CE) is one of the zoonotic infections in human, an important global health problem. It was aimed to determine the molecular characterization and phylogenetic analysis of isolates obtained from patients diagnosed with CE in Hatay province, according to the cox1 gene region. A total of 31 patients, 14 males and 17 females, with a mean age of 35.19 (+/- 14.28) years were included in the study. 35 cyst materials obtained from patients were studied. DNA isolation was performed from the samples with protoscoleces determined in the cyst fluid. One-way DNA sequencing was performed with the Sanger Sequencing Protocol through the obtained PCR products. In the study, 35 hydatid cysts of human origin were examined and protoscoleces was detected in 11 (31.43%) of them. Twenty of the patients had liver involvement, seven had lung involvement, and four had both liver and lung involvement. All the samples with protoscoleces detected were observed of PCR product with a size of approximately 446 bp. When the sequence results of the isolates were evaluated within themselves, it was seen that there were three different sequences with 99% similarity to each other. As a result, of the phylogenetic analysis, it was determined that the isolates were identified in the Echinococcus granulosus sensu stricto (E. granulosus s. s.) (G1-G3) complex. This study is thought to contribute to the epidemiology, parasite control, effective diagnosis and treatment techniques, eradication, vaccine and drug development studies of E. granulosus s. s in Turkiye.
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    Using Raman Spectroscopy for Determination Methanol Quantity in Illegal Alcoholic Beverages
    (Office Spectroscopy & Spectral Analysis, 2017) Zeren, Cem; Acikgoz, Gunes; Kahraman, Suleyman
    Illegal production of alcoholic beverages is a common problem in most countries. The consumption of these counterfeit alcoholic products in Turkey has increasingly been one of the major health concerns. In this study, a comparison between GC-MS and Raman spectroscopy techniques was made to determine the amount of methanol in BogmaRaki which is a counterfeit alcoholic beverage produced and consumed in Hatay region. Different ratios of methanol/ethanol concentrations were prepared to obtain a calibration curve. This curve was used to measure the amount of methanol in the actual product samples using both GC-MS and Raman spectroscopy techniques. Results obtained from both techniques were compared using Paired sample t-tests. The Limit of Detection and the Limit of Quantification values were determined as 0. 03 (%v/v) and 0. 11 (v/v), respectively. Both techniques demonstrated a similar sensitivity in the determination of methanol concentration in these counterfeit products (p>0.05). Raman Spectroscopy, however, has an advantage of being easy to use, inexpensive, rapid and non-destructive analytical technique with little or no sample preparation.