Electrospun SnO2 nanofibers-based electrochemical sensor using AB (1-40) for early detection of Alzheimer’s

Patta Supraja, R. Gangwar, Suryasnata Tripathy, S. Vanjari, S. Singh
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Abstract

An early diagnosis of Alzheimer’s disease (AD) is challenging and affects millions worldwide. AB(1-40), a potential biomarker found in cerebrospinal fluid, blood, and its derivatives, is utilized as an alternative for an early diagnosis of Alzheimer’s. This work presents an early detection of AD with the help of label-free electrochemical transduction mechanisms using AB(1-40) as a biomarker. To increase the diversity of decision-making parameters that inherently improve the disease’s diagnostic accuracy, the detection was carried out with the help of DPV and EIS analysis. The sensing platform utilized electrospun tin-oxide (SnO2) nanofibers modified carbon electrodes as a transducing element comprising covalently immobilized AB(1-40) antibodies on which the target AB(1-40) binds specifically. The sensing platform detected the target analyte concentrations prepared in real-time human blood plasma in the linear detection range of 1 fg/mL – 10 ng/mL and 1 fg/mL – 100 pg/mL obtained from DPV and EIS, respectively. It also accounted for an extremely low detection limit of 0.785 and 0.573 fg/mL and a very high sensitivity of 4.095 (μA/(ng/mL))/cm2 and 285.94 (kΩ/(ng/mL))/cm2 obtained from DPV and EIS, respectively. Further, the proposed sensing platform showed excellent selectivity, repeatability, reproducibility and high interference resistance.
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使用 AB (1-40) 的电纺 SnO2 纳米纤维电化学传感器用于早期检测阿尔茨海默氏症
阿尔茨海默病(AD)的早期诊断具有挑战性,影响着全球数百万人。AB(1-40)是一种存在于脑脊液、血液及其衍生物中的潜在生物标志物,可作为阿尔茨海默病早期诊断的替代方法。本研究以 AB(1-40)为生物标记物,借助无标记电化学传导机制,提出了一种早期检测老年痴呆症的方法。为了增加决策参数的多样性,从根本上提高疾病诊断的准确性,我们借助 DPV 和 EIS 分析进行了检测。该传感平台利用电纺氧化锡(SnO2)纳米纤维修饰的碳电极作为传导元件,其中包括共价固定的 AB(1-40) 抗体,目标 AB(1-40) 与之特异性结合。该传感平台可检测实时人体血浆中制备的目标分析物浓度,DPV 和 EIS 的线性检测范围分别为 1 fg/mL - 10 ng/mL 和 1 fg/mL - 100 pg/mL。它还具有极低的检测限(0.785 和 0.573 fg/mL)和极高的灵敏度(4.095 (μA/(ng/mL))/cm2 和 285.94 (kΩ/(ng/mL))/cm2 )。此外,所提出的传感平台显示出卓越的选择性、可重复性、再现性和高抗干扰性。
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