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电化学免疫分析 ALS 相关神经丝蛋白:免疫平台的基质效应。

Electrochemical Impedance Immunoassay for ALS-Associated Neurofilament Protein: Matrix Effect on the Immunoplatform.

机构信息

School of Chemical and Biomolecular Sciences, Southern Illinois University, 1245 Lincoln Drive, Carbondale, IL 62918, USA.

出版信息

Biosensors (Basel). 2023 Feb 9;13(2):247. doi: 10.3390/bios13020247.

Abstract

Amyotrophic Lateral Sclerosis (ALS) is a neurodegenerative disorder, which has complex diagnostic steps. Electrochemical immunoassays may make the diagnosis simpler and faster. Here, we present the detection of ALS-associated neurofilament light chain (Nf-L) protein through an electrochemical impedance immunoassay on reduced graphene oxide (rGO) screen-printed electrodes. The immunoassay was developed in two different media, i.e., buffer and human serum, to compare the effect of the media on their figures of merit and calibration models. The label-free charge transfer resistance (R) of the immunoplatform was used as a signal response to develop the calibration models. We found that exposure of the biorecognition layer to human serum improved the impedance response of the biorecognition element with significantly lower relative error. Moreover, the calibration model obtained in the human serum environment has higher sensitivity and a better limit of detection (0.087 ng/mL) than the buffer medium (0.39 ng/mL). The analyses of the ALS patient samples show that concentrations obtained from the buffer-based regression model was higher than the serum-based model. However, a high Pearson correlation (r = 1.00) between the media suggests that concentration in one medium may be useful to predict the concentration in the other medium. Moreover, the Nf-L concentration appears to increase with age in both male and female groups, while overall higher Nf-L was found in the male group than the female group.

摘要

肌萎缩侧索硬化症(ALS)是一种神经退行性疾病,其诊断步骤较为复杂。电化学免疫分析可以使诊断更加简单和快速。在这里,我们通过在还原氧化石墨烯(rGO)丝网印刷电极上进行电化学阻抗免疫分析,来检测与 ALS 相关的神经丝轻链(Nf-L)蛋白。该免疫分析是在两种不同的介质中进行的,即缓冲液和人血清,以比较介质对其计量特性和校准模型的影响。免疫平台的无标记电荷转移电阻(R)被用作信号响应来开发校准模型。我们发现,生物识别层与人血清的接触改善了生物识别元件的阻抗响应,其相对误差显著降低。此外,在人血清环境中获得的校准模型比缓冲液介质(0.39ng/mL)具有更高的灵敏度和更低的检测限(0.087ng/mL)。对 ALS 患者样本的分析表明,基于缓冲液的回归模型获得的浓度高于基于血清的模型。然而,两种介质之间具有较高的 Pearson 相关性(r=1.00)表明,一种介质中的浓度可以用于预测另一种介质中的浓度。此外,Nf-L 浓度似乎在男女两组中都随年龄的增长而增加,而男性组的 Nf-L 总体水平高于女性组。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/069e/9954657/0ea720f30dc8/biosensors-13-00247-sch001.jpg

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