用于检测肺栓塞和心肌梗死的电化学生物传感器

Biosensors Pub Date : 2024-08-09 DOI:10.3390/bios14080386
Yaw-Jen Chang, Fu-Yuan Siao, En-Yu Lin
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引用次数: 0

摘要

由于肺栓塞(PE)和心肌梗塞(MI)在临床上的相似性,医生在及时区分这两种疾病时经常会遇到困难,有可能错过正确急救的关键窗口期。本文介绍了一种生物传感器,称为 PEMI 生物传感器,设计用于识别和定量检测肺栓塞或心肌梗塞。PEMI 生物传感器的工作电极表面用氧化石墨烯和蚕丝纤维素修饰,以固定抗体混合物。采用线性扫描伏安法测量分析物的电流-电位映射,以计算出的曲率作为判断指标。实验结果表明,曲率与抗原 FVIII 的浓度呈线性相关,与抗原 cTnI 的浓度呈线性反相关。鉴于 FVIII 和 cTnI 在人体内同时存在,因此根据一组正常浓度的 FVIII 和 cTnI 的曲率确定了上限和下限。如果分析物的曲率超过上限,则可确定为肺栓塞,而低于下限则表示心肌梗塞。此外,曲率偏离上限或下限越远,病情越严重。PEMI 生物传感器可作为医生的有效检测平台。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Electrochemical Biosensor for the Detection of Pulmonary Embolism and Myocardial Infarction
Due to the clinical similarities between pulmonary embolism (PE) and myocardial infarction (MI), physicians often encounter challenges in promptly distinguishing between them, potentially missing the critical window for the correct emergency response. This paper presents a biosensor, termed the PEMI biosensor, which is designed for the identification and quantitative detection of pulmonary embolism or myocardial infarction. The surface of the working electrode of the PEMI biosensor was modified with graphene oxide and silk fibroin to immobilize the mixture of antibodies. Linear sweep voltammetry was employed to measure the current-to-potential mapping of analytes, with the calculated curvature serving as a judgment index. Experimental results showed that the curvature exhibited a linear correlation with the concentration of antigen FVIII, and a linear inverse correlation with the concentration of antigen cTnI. Given that FVIII and cTnI coexist in humans, the upper and lower limits were determined from the curvatures of a set of normal concentrations of FVIII and cTnI. An analyte with a curvature exceeding the upper limit can be identified as pulmonary embolism, while a curvature falling below the lower limit indicates myocardial infarction. Additionally, the further the curvature deviates from the upper or lower limits, the more severe the condition. The PEMI biosensor can serve as an effective detection platform for physicians.
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