SPCE/Cu2O@MWCNTs电化学薄荷酮检测预测癫痫发作传感器的构建及机理研究。

IF 9.6 2区 医学 Q1 ENGINEERING, BIOMEDICAL
Zilong Hu, Liangtao Yang, Wendong Yang, Jie Han, Chunlin Li, Qing Liu, Zhengchen Xiang, Jinglong Wu
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引用次数: 0

摘要

癫痫发作的预测对癫痫疾病的有效管理和治疗至关重要。癫痫患者在发作前会产生一定的生物标志物,这些生物标志物被认为是潜在的预测生物标志物。然而,对这些生物标志物的检测研究仍然有限,检测过程仍然具有挑战性。本文报道了一种用于检测薄荷酮的电化学传感器,薄荷酮是与癫痫发作相关的生物标志物。薄荷酮电化学传感器是基于用Cu2O@MWCNTs纳米材料修饰的丝网印刷碳电极(SPCE)。该电极的检出限为0.3 mM,灵敏度为88.243µA·mM⁻1·cm⁻2。此外,SPCE/Cu2O@MWCNTs电极与磷酸盐缓冲盐水(PBS)中的薄荷酮浓度呈良好的线性关系。细胞实验结果进一步证实了SPCE/Cu₂2O@MWCNTs电极的良好生物相容性,突出了其在实际生物样品中的应用潜力。通过机理研究,提出了薄荷酮与传感材料的反应机理。这种电极不仅为预测癫痫发作提供了一种可靠且经济有效的方法,从而为电化学生物传感技术的进步铺平了道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

The Construction and Mechanism of SPCE/Cu2O@MWCNTs Electrochemical Sensor for Menthone Detection for Epileptic Seizures Prediction

The Construction and Mechanism of SPCE/Cu2O@MWCNTs Electrochemical Sensor for Menthone Detection for Epileptic Seizures Prediction

Prediction of seizures is critical for the effective management and treatment of epileptic disorders. The epileptic patients generates certain biomarker before the occurance of seizure, which are considered as the potential biomarkers for prediction. However, research on the detection of these biomarkers remains limited, and the detection process is still challenging. Herein, an electrochemical sensor for detecting menthone, a biomarker associated with epilepstic seizure is reported. The menthone electrochemical sensor is based on the screen-printed carbon electrode (SPCE) modified with a Cu2O@MWCNTs nanomaterial. The electrode exhibits the detection limit of 0.3 mM and the sensitivity of 88.243 µA·mM1·cm⁻2. Additionally, the SPCE/Cu2O@MWCNTs electrode demonstrates a good linearship with menthone concentration in phosphate buffered saline​​ (PBS). Cell assay results further confirm the excellent biocompatibility of the SPCE/Cu2O@MWCNTs electrode, highlighting its potential for its utilization in the real biosamples. Through the mechanism study, the reaction mechanism between menthone and the sensing material is proposed. This electrode not only provides a reliable and cost-effective method for predicting epileptic seizures, thus paving the way for advancements in electrochemical biosensing technologies.

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来源期刊
Advanced Healthcare Materials
Advanced Healthcare Materials 工程技术-生物材料
CiteScore
14.40
自引率
3.00%
发文量
600
审稿时长
1.8 months
期刊介绍: Advanced Healthcare Materials, a distinguished member of the esteemed Advanced portfolio, has been dedicated to disseminating cutting-edge research on materials, devices, and technologies for enhancing human well-being for over ten years. As a comprehensive journal, it encompasses a wide range of disciplines such as biomaterials, biointerfaces, nanomedicine and nanotechnology, tissue engineering, and regenerative medicine.
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