用于灵敏检测氯霉素抗生素的N-羟基琥珀酰亚胺交联氧化石墨烯-金纳米花修饰固相萃取电极
-Hydroxysuccinimide crosslinked graphene oxide-gold nanoflower modified SPE electrode for sensitive detection of chloramphenicol antibiotic.
作者信息
Ali M R, Bacchu M S, Al-Mamun M R, Ahommed M S, Saad Aly M Aly, Khan M Z H
机构信息
Dept of Chemical Engineering, Jashore University of Science and Technology Jashore 7408 Bangladesh
Laboratory of Nano-bio and Advanced Materials Engineering (NAME), Jashore University of Science and Technology Jashore 7408 Bangladesh.
出版信息
RSC Adv. 2021 Apr 27;11(26):15565-15572. doi: 10.1039/d1ra02450g. eCollection 2021 Apr 26.
Here we introduce a composite material that consists of graphene oxide (GO) sheets crosslinked with -hydroxysuccinimide (NHS) and functionalized with gold nanoflowers (AuNFs). Furthermore, a screen printed electrode (SPE) modified with the introduced composite is electrochemically reduced to obtain an SPE/rGO-NHS-AuNFs electrode for sensitive and selective determination of chloramphenicol (CAP) antibiotic drug. The morphological structure of the as-prepared nanocomposite was characterized by scanning electron microscopy, energy-dispersive X-ray spectroscopy, cyclic voltammetry, Fourier-transform infrared spectroscopy and electrochemical impedance spectroscopy. The proposed sensor demonstrated excellent performance with a linear concentration range of 0.05 to 100 μM and a detection limit of 1 nM. The proposed electrode offers a high level of selectivity, stability, reproducibility and a satisfactory recovery rate for electrochemical detection of CAP in real samples such as blood serum, poultry feed, milk, eggs, honey and powdered milk samples. This further demonstrates the practical feasibility of the proposed sensor in food analysis.
在此,我们介绍一种由与N-羟基琥珀酰亚胺(NHS)交联并用金纳米花(AuNFs)功能化的氧化石墨烯(GO)片组成的复合材料。此外,用引入的复合材料修饰的丝网印刷电极(SPE)经电化学还原,以获得用于灵敏且选择性测定氯霉素(CAP)抗生素药物的SPE/rGO-NHS-AuNFs电极。通过扫描电子显微镜、能量色散X射线光谱、循环伏安法、傅里叶变换红外光谱和电化学阻抗谱对所制备的纳米复合材料的形态结构进行了表征。所提出的传感器表现出优异的性能,线性浓度范围为0.05至100 μM,检测限为1 nM。所提出的电极在诸如血清、家禽饲料、牛奶、鸡蛋、蜂蜜和奶粉样品等实际样品中对CAP的电化学检测具有高选择性、稳定性、重现性和令人满意的回收率。这进一步证明了所提出的传感器在食品分析中的实际可行性。