Bisphenol A Imprinted Electrochemical Sensor Based on Graphene Quantum Dots with Boron Functionalized g-C3N4 in Food Samples
Yazarlar (6)
Prof. Dr. Haci Ahmet Deveci Gaziantep Üniversitesi, Türkiye
Dr. Öğr. Üyesi Müge MAVİOĞLU KAYA Kafkas Üniversitesi, Türkiye
Prof. Dr. İnan KAYA Kafkas Üniversitesi, Türkiye
Prof. Dr. Necip Atar Pamukkale Üniversitesi, Türkiye
Prof. Dr. Mehmet Lütfi Yola Hasan Kalyoncu Üniversitesi, Türkiye
| Makale Türü |
Özgün Makale
(SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
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| Dergi Adı | BIOSENSORS-BASEL (Q1) | ||
| Dergi ISSN | 2079-6374 Dergi Bilgileri (2023) | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 07-2023 |
| Kabul Tarihi | – | Yayınlanma Tarihi | 12-07-2023 |
| Cilt / Sayı / Sayfa | 13 / 7 / 1–14 | DOI | 10.3390/bios13070725 |
| Makale Linki | http://dx.doi.org/10.3390/bios13070725 | ||
| UAK Araştırma Alanları |
Biyokimya
Biyoteknoloji
Moleküler Biyoloji
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| Özet |
| A molecular imprinted electrochemical sensor based on boron-functionalized graphitic carbon nitride (B-g-C3N4) and graphene quantum dots (GQDs) was presented for selective determination of bisphenol A (BPA). In particular, by combining the selectivity and high stability properties, which are the most important advantages of molecular imprinted polymers, and the highly sensitive properties of GQDs/B-g-C3N4 nanocomposite, a highly selective and sensitive analytical method was developed for BPA analysis. Firstly, GQDs/B-g-C3N4 nanocomposite was characterized by using microscopic, spectroscopic, and electrochemical techniques. This novel molecular imprinted electrochemical sensor for BPA detection demonstrated a linearity of 1.0 × 10−11–1.0 × 10−9 M and a low detection limit (LOD, 3.0 × 10−12 M). BPA-imprinted polymer on GQDs/B-g-C3N4 nanocomposite also showed good stability, repeatability and selectivity in food samples. |
| Anahtar Kelimeler |
| bisphenol A | molecularly imprinting | nanocomposite | food analysis |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Yöksis | 30 |
| Web of Science | 65 |