MAÜ GCRIS Standart veritabanının içerik oluşturulması ve kurulumu Research Ecosystems (https://www.researchecosystems.com) tarafından devam etmektedir. Bu süreçte gördüğünüz verilerde eksikler olabilir.
 

Işık Aydın, Arda Dılovan

Loading...
Profile Picture
Name Variants
Aydin, I.
Job Title
Öğr. Gör.
Email Address
Main Affiliation
Department of Applied English and Translation / Uygulamalı İngilizce ve Çevirmenlik Bölümü
Status
Former Staff
Website
ORCID ID
Scopus Author ID
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID

Sustainable Development Goals Report Points

SDG data could not be loaded because of an error. Please refresh the page or try again later.
Scholarly Output

1

Articles

1

Citation Count

0

Supervised Theses

0

Scholarly Output Search Results

Now showing 1 - 1 of 1
  • Article
    Citation - Scopus: 0
    Determination of Trace Manganese Contents in Real Samples and Interference Studies by Combining Coated Magnetic Nanoparticle-Assisted Solid-Phase Microextraction With Slotted Quartz Tube-Flame Atomic Absorption Spectrometry
    (Springer, 2025) Umaz, Adil; Işık Aydın, Arda Dılovan; Türkben Aydın, Funda; Aydin, F.; Department of Applied English and Translation / Uygulamalı İngilizce ve Çevirmenlik Bölümü; Department of Medical Services and Techniques / Tıbbi Hizmetler ve Teknikleri Bölümü; Department of Persian Language and Literature / Fars Dili ve Edebiyatı Bölümü
    This study aimed to propose a sensitive analytical method to determine trace levels of manganese by combining magnetic nanoparticle (MNP)-assisted solid-phase microextraction (SPME) with slotted quartz tube flame atomic absorption spectrometry (SQT-FAAS). MNP was used as an absorbent in the extraction processes, univariately optimizing parameters such as pH, buffer volume, MNP amount, eluent concentration and volume, mixing type and duration, and interaction time to improve extraction efficiency. The limits of detection and quantification values for the developed MNP-SPME-SQT-FAAS method were identified as 108 and 359 μg/dm3, respectively. The coefficient of determination, percentage relative standard deviation, and percentage recovery values were also calculated as 0.9995, 3.84, and 96.73, respectively. As a result, the developed MNP-SPME-SQT-FAAS method improved the detection power of the traditional FAAS method by 16.91-fold. This method is the first to accurately and sensitively determine trace manganese content in nut samples. The developed MNP-SPME-SQT-FAAS method was confirmed that have a high sensitivity to determine the trace amounts of manganese and displayed potential applicability for real samples. © Springer-Verlag GmbH Austria, part of Springer Nature 2025.