Wang Jin, Yang Zhen, Gu Shuanghuan, Pan Mingfei, Xu Longhua
College of Food Science and Engineering, Shandong Agricultural University, Tai'an 271018, China.
College of Food Science and Engineering, Tianjin University of Science and Technology, Tian'jin 300457, China.
Foods. 2025 Jan 18;14(2):314. doi: 10.3390/foods14020314.
Bisphenol A (BPA) is a typical environmental estrogen that is distributed worldwide and has the potential to pose a hazard to the ecological environment and human health. The development of an efficient and sensitive sensing strategy for the monitoring of BPA residues is of paramount importance. A novel electrochemical sensor based on carbon black and carbon nanofibers composite (CB/f-CNF)-assisted signal amplification has been successfully constructed for the amperometric detection of BPA in foods. Herein, the hybrid CB/f-CNF was prepared using a simple one-step ultrasonication method, and exhibited good electron transfer capability and excellent catalytic properties, which can be attributed to the large surface area of carbon black and the strong enhancement of the conductivity and porosity of carbon nanofibers, which promote a faster electron transfer process on the electrode surface. Under the optimized conditions, the proposed CB/f-CNF/GCE sensor exhibited a wide linear response range (0.4-50.0 × 10 mol/L) with a low limit of detection of 5.9 × 10 mol/L for BPA quantification. Recovery tests were conducted on canned peaches and boxed milk, yielding satisfactory recoveries of 86.0-102.6%. Furthermore, the developed method was employed for the rapid and sensitive detection of BPA in canned meat and packaged milk, demonstrating comparable accuracy to the HPLC method. This work presents an efficient signal amplification strategy through the utilization of carbon/carbon nanocomposite sensitization technology.
双酚A(BPA)是一种典型的环境雌激素,在全球范围内广泛分布,有可能对生态环境和人类健康构成危害。开发一种高效、灵敏的传感策略来监测BPA残留至关重要。基于炭黑和碳纳米纤维复合材料(CB/f-CNF)辅助信号放大的新型电化学传感器已成功构建,用于食品中BPA的安培检测。在此,采用简单的一步超声法制备了混合CB/f-CNF,其表现出良好的电子转移能力和优异的催化性能,这可归因于炭黑的大表面积以及碳纳米纤维电导率和孔隙率的显著增强,从而促进了电极表面更快的电子转移过程。在优化条件下,所提出的CB/f-CNF/GCE传感器对BPA定量检测表现出宽线性响应范围(0.4 - 50.0×10⁻⁶ mol/L),检测限低至5.9×10⁻⁷ mol/L。对罐装桃子和盒装牛奶进行了回收率测试,回收率为86.0 - 102.6%,结果令人满意。此外,所开发的方法用于罐装肉类和包装牛奶中BPA的快速灵敏检测,与高效液相色谱法相比具有相当的准确性。这项工作通过利用碳/碳纳米复合材料敏化技术提出了一种有效的信号放大策略。