Jin Chao, Li Meng, Duan Shimeng, Zhang Qianyao, Zhang Genlin, Liu Qingju, Zhang Ruilin, Bai Huiping
School of Material and Energy, Yunnan Key Laboratory of Micro/Nano Materials & Technology, Yunnan University, Kunming, 650091, China.
Institute of Forensic Medical, Kunming Medical University, Kunming, 650050, China.
Biosens Bioelectron. 2023 Apr 15;226:115134. doi: 10.1016/j.bios.2023.115134. Epub 2023 Feb 9.
Ketamine is an organic drug with weak electrochemical activity, which makes it difficult to directly detect by electrochemical methods. Herein, an electrochemical sensor, with excellent detection sensitivity, is proposed for direct detection of ketamine based on a weakly conductive poly-L-cysteine molecularly imprinted membrane. Poly-L-cysteine molecularly imprinted membrane sensor (poly-L-Cys-KT-MIM/GCE) is obtained using L-cysteine as a functional monomer and ketamine as a template molecule based on electropolymerization. The green and highly active cysteine is selected as a functional monomer during electropolymerization, which cannot only achieve specific recognition but also improve detection sensitivity. Furthermore, the oxidation mechanism and fingerprint of ketamine on the electrode surface are established by analyzing the corresponding oxidation products using high/resolution mass spectrometry, which will help to promote the application of electrochemistry in the rapid detection of drugs. Under optimal conditions, the as-designed sensor demonstrated a linear response to ketamine within the range of 5.0 × 10 to 2.0 × 10 mol L and a detection limit of 1.6 × 10 mol L. The proposed method exhibited excellent performance from the viewpoints of selectivity, sensitivity and stability. Notably, the sensor rendered excellent reliability and could be used for the detection of target analytes in hair and urine samples with high recovery rates.
氯胺酮是一种具有弱电化学活性的有机药物，这使得难以通过电化学方法直接检测。在此，基于弱导电的聚-L-半胱氨酸分子印迹膜，提出了一种具有优异检测灵敏度的电化学传感器用于直接检测氯胺酮。以L-半胱氨酸为功能单体、氯胺酮为模板分子，通过电聚合制备了聚-L-半胱氨酸分子印迹膜传感器（poly-L-Cys-KT-MIM/GCE）。电聚合过程中选择绿色且高活性的半胱氨酸作为功能单体，不仅能实现特异性识别，还能提高检测灵敏度。此外，通过高分辨质谱分析相应的氧化产物，建立了氯胺酮在电极表面的氧化机理和指纹图谱，这将有助于推动电化学在药物快速检测中的应用。在最佳条件下，所设计的传感器对氯胺酮在5.0×10至2.0×10 mol/L范围内呈现线性响应，检测限为1.6×10 mol/L。从选择性、灵敏度和稳定性方面来看，所提出的方法表现出优异的性能。值得注意的是，该传感器具有出色的可靠性，可用于毛发和尿液样本中目标分析物的检测，回收率高。
