Abstract：
The misuse of antibiotics has caused serious impacts on food safety and human health, making it crucial to develop rapidly and highly sensitive methods for detecting trace nitrofuran antibiotics (NFs). In this study, phosphorus, nitride-doped carbon nanosheets (PN/CNs) were synthesized using a simple hydrothermal method based on graphitic carbon nitride. This prepared material showed excellent water solubility and stable optical properties. A new fluorescence sensing platform based on PN/CNs was constructed for the highly sensitive detection of four NFs. This sensitivity was mainly attributed to the fluorescence resonance energy transfer (FRET) mechanism. The limits of detection for nitrofurazone, nitrofurantoin, furazolidone and furaltadone were determined to be 13.41, 15.24, 16.37 and 19.94 nM, respectively. The high sensitivity and selectivity of PN/CNs for these four NFs were thoroughly evaluated by the Stern-Volmer equation and FRET quenching efficiency. This proposed method exhibited high sensitivity and can be successfully applied to detect NFs in fish.
摘要：
滥用抗生素对食品安全和人类健康造成严重影响,因此,开发快速、高灵敏度的痕量硝基呋喃类抗生素(NFs)检测方法至关重要。在这项研究中,磷，使用基于石墨碳氮化物的简单水热法合成了掺杂氮化物的碳纳米片（PN/CNs）。所制备的材料表现出优异的水溶性和稳定的光学性质。构建了基于PN/CNs的新型荧光传感平台，用于四种NFs的高敏检测。这种灵敏度主要归因于荧光共振能量转移(FRET)机制。硝基呋喃酮的检测限，呋喃妥因,呋喃唑酮和呋喃他酮被确定为13.41、15.24、16.37和19.94nM，分别。通过Stern-Volmer方程和FRET猝灭效率全面评估了PN/CN对这四种NF的高灵敏度和选择性。该方法具有较高的灵敏度，可成功应用于鱼类中NFs的检测。
