Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

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  • Book Part
    Sample Preparation Using Microfluidic Technologies for Non-Invasive Tests
    (Elsevier, 2025) Oksuz, C.; Tarim, E.A.; Ozcan, H.A.; Koc, S.; Tekin, H.C.
    The collection of a biological sample and the steps carried out to obtain the target in a sample covers the sample preparation procedures which are one of the important steps for diagnostic tests. Removing interferences in a complex sample, preventing undesirable reactions, separating, purifying, and enriching the sample are among the steps that can be applied to samples for analysis. Non-invasive tests include samples such as urine, saliva, sweat, tear, breath and are preferred because they are simple, painless, cost-effective and cause fewer complications. In traditional methods applied in clinics, most of the steps such as centrifugation, pipetting, staining, and washing are performed manually by a technician. For this reason, tests are costly, require long analysis time, and have a significant risk of contamination and manual errors. Microfluidic technologies allow automating sample collection and preparation steps by integrating many components on a single chip. Thereby, low-volume samples can be processed automatically with high efficiency and purity. In this chapter, the sample preparation methods used in microfluidic devices for non-invasive tests analyzing human samples including sweat, urine, saliva, tears, sexual samples, and other body fluids are reviewed. This information aims to facilitate the development of potential sample preparation methods and applications for non-invasive diagnostic tests. © 2024 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
  • Article
    Citation - WoS: 2
    Citation - Scopus: 2
    A Novel Approach Utilizing Rapid Thin-Film Microextraction Method for Salivary Metabolomics Studies in Lung Cancer Diagnosis
    (Elsevier, 2024) Pelit, Fusun; Erbas, Ilknur; Ozupek, Nazli Mert; Gul, Merve; Sakrak, Esra; Ocakoglu, Kasim; Goksel, Ozlem; Özdemir, Durmuş
    This study investigated the potential of targeted salivary metabolomics as a convenient diagnostic tool for lung cancer (LC), utilizing a rapid TFME-based method. It specifically examines TFME blades modified with SiO2 nanoparticles, which were produced using a custom-made coating system. Validation of the metabolite biomarker analysis was performed by these blades using liquid chromatography-tandem mass spectroscopy (LCMS/MS). The extraction efficiencies of SiO2 nanoparticle/polyacrylonitrile (PAN) composite-coated blades were compared for 18 metabolites. Response surface methodology (RSM) was used to optimize the analysis conditions. Linear calibration plots were obtained for all metabolites at concentrations between 0.025 to 4.0 mu g/mL in the presence of internal standard, with correlation coefficients (R-2) ranging from 0.9975 to 0.9841. The limit of detection (LOD) and limit of quantitation (LOQ) were in the range of 0.014 to 0.97 mu g mL(-1) and 0.046 to 3.20 mu gmL(-1), respectively. The %RSD values for all analytes were within the acceptable range (less than 20 %) for the proposed method. The method was applied to the saliva samples of 40 patients with LC and 38 healthy controls. The efficacy of metabolites for LC diagnosis was determined by in silico methods and the results reveal that phenylalanine and purine metabolism metabolites (e.g., hypoxanthine) are of great importance for LC diagnosis. Furthermore, potentially significant biomarker analysis results from the ROC curve data reveal that proline, hypoxanthine, and phenylalanine were identified as potential biomarkers for LC diagnosis.