Scopus
YÖKSİS DOI Eşleşti
SJR Q2
Fe-Based Metal–Organic Framework for Dual-Mode Voltammetric and Fluorescence Determination of Rosmarinic Acid in Rosmarinus officinalis
Food Analytical Methods · Haziran 2026
Özet
Rosmarinic acid (RA) is an important natural antioxidant used in the quality control of food and pharmaceutical products, and its rapid, selective, and sensitive determination is essential. In this work, an iron-based metal–organic framework (Fe-MOF) was used as a dual-mode sensor for RA determination. Ultraviolet (UV) spectroscopy, Fourier transform infrared (FTIR) spectroscopy, Brunauer–Emmett–Teller (BET) surface area analysis, scanning electron microscopy (SEM), and energy dispersive X-ray analysis (EDX) were used. When deposited on a glassy carbon electrode, the Fe-MOF markedly enhanced the electroactive surface area and decreased the charge-transfer resistance toward the [Fe(CN)6]3−/4− redox couple compared with the bare electrode. Under optimized conditions in Britton–Robinson (BR) buffer (pH 3.5), the Fe-MOF-modified electrode exhibited a linear voltammetric response to RA over the range 2.0–101.8 µM, with a detection limit of 0.7 µM. In parallel, a fluorescence sensing platform based on Fe-MOF–RA interactions was established at 320-nm excitation and 450-nm emission, providing a linear range of 2.0–20.0 µM, with limits of detection and quantification of 2.53 and 8.35 µM, respectively. Both sensing modes showed good precision (RSD < 3%) and retained their response in the presence of common coexisting species such as rutin, caffeic acid, carnosic acid, ascorbic acid, Fe, and Mn ions. Additionally, the environmental sustainability of the methods was assessed using the Analytical GREEnness metric (AGREE). Application to Rosmarinus officinalis extracts by the standard addition method yielded recoveries close to 100%, demonstrating that Fe-MOF-based voltammetric and fluorescent methods are sensitive and selective alternatives for RA analysis in real herbal matrices.
YÖKSİS Kayıtları
Fe-Based Metal–Organic Framework for Dual-Mode Voltammetric and Fluorescence Determination of Rosmarinic Acid in Rosmarinus officinalis
Food Analytical Methods · 2026 SCI-Expanded
Prof. Dr. SEMAHAT KÜÇÜKKOLBAŞI →
Fe-Based Metal–Organic Framework for Dual-Mode Voltammetric and Fluorescence Determination of Rosmarinic Acid in Rosmarinus officinalis
Food Analytical Methods · 2026 SCI-Expanded
Öğr. Gör. HAVVA NUR TATLI →
YÖKSİS Kayıtları — ISSN Eşleşmesi
Bu dergide (ISSN eşleşmesi) kurumun 10 kaydı bulundu.
YÖKSİS Kayıtları — ISSN Eşleşmesi
Bu dergide (ISSN eşleşmesi) kurumun 10 kaydı bulundu.
Fe-Based Metal–Organic Framework for Dual-Mode Voltammetric and Fluorescence Determination of Rosmarinic Acid in Rosmarinus officinalis
2026 ISSN: 1936-9751 SCI-Expanded Q2
Prof. Dr. SEMAHAT KÜÇÜKKOLBAŞI →
Fe-Based Metal–Organic Framework for Dual-Mode Voltammetric and Fluorescence Determination of Rosmarinic Acid in Rosmarinus officinalis
2026 ISSN: 1936-9751 SCI-Expanded Q2
Öğr. Gör. HAVVA NUR TATLI →
Optimization of the Extraction Process of Antioxidants from Orange Using Response Surface Methodology
2015 ISSN: 1936-9751 SCI-Expanded
Prof. Dr. GÖKHAN ZENGİN →
Monitoring of Zn II Cd II Pb II and Cu II During Refining of Some Vegetable Oils Using Differential Pulse Anodic Stripping Voltammetry
2014 ISSN: 1936-9751 SCI-Expanded
Prof. Dr. HÜSEYİN KARA →
Tamarindus indica L. Seed: Optimization of Maceration Extraction Recovery of Tannins
2020 ISSN: 1936-9751 SCI
Prof. Dr. GÖKHAN ZENGİN →
Multivariate Modeling for Quantifying Adulteration of Sunflower Oil with Low Level of Safflower Oil Using ATR-FTIR, UV-Visible, and Fluorescence Spectroscopies: A Comparative Approach
2020 ISSN: 1936-9751 SCI-Expanded Q3
Doç. Dr. İSMAİL TARHAN →
Multivariate Modeling for Quantifying Adulteration of Sunflower Oil with Low Level of Safflower Oil Using ATR-FTIR, UV-Visible, and Fluorescence Spectroscopies: A Comparative Approach
2021 ISSN: 1936-9751 SCI-Expanded Q3
Arş. Gör. MUHAMMED RAŞİT BAKIR →
Application of Pre-Trained Deep Convolution Neural Networks for Coffee Beans Species Detection
2022 ISSN: 1936-9751 SCI-Expanded Q3
Öğr. Gör. RAMAZAN KURŞUN →
Monitoring of Zn II Cd II Pb II and Cu II During Refining of Some Vegetable Oils Using Differential Pulse Anodic Stripping Voltammetry
2014 ISSN: 1936-9751 SSCI
Prof. Dr. SEMAHAT KÜÇÜKKOLBAŞI →
Multivariate Modeling for Quantifying Adulteration of Sunflower Oil with Low Level of Safflower Oil Using ATR-FTIR, UV-Visible, and Fluorescence Spectroscopies: A Comparative Approach
2020 ISSN: 1936-9751 SCI-Expanded Q2
Arş. Gör. MUHAMMED RAŞİT BAKIR →
Makale Bilgileri
Dergi
Food Analytical Methods
Toplam Atıf
0 atıf
· Scopus
ISSN19369751
Yayın TarihiHaziran 2026
Cilt / Sayfa19
Scopus ID2-s2.0-105035567666
Kurumlar
Selçuk Üniversitesi
Selçuklu Turkey
University of Samarra
Samarra Iraq
Yüksek İhtisas Üniversitesi
Ankara Turkey
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Scimago Dergi (ISSN Eşleşmesi)
Food Analytical Methods
Q2
SJR Skoru0,534
H-Index79
YayıncıSpringer
ÜlkeUnited States
Analytical Chemistry (Q2)
Food Science (Q2)
Safety Research (Q2)
Safety, Risk, Reliability and Quality (Q2)
Applied Microbiology and Biotechnology (Q3)