Sensing of L-methionine in biological samples through fully 3D-printed electrodes
Sensing of L-methionine in biological samples through fully 3D-printed electrodes
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DOI：
10.1016/j.aca.2020.10.034
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发表时间：
2021-01-15
影响因子：
6.2
通讯作者：
Bonacin, Juliano Alves
中科院分区：
文献类型：
--
作者：
Kalinke, Cristiane;Neumsteir, Naile Vacionotto;Bonacin, Juliano Alves
生物标志物水平的变化，如l -蛋氨酸，可以作为健康问题或疾病的指标，如代谢、神经精神障碍或某些病毒感染。因此，开发低成本、快速反应的精确传感器对于疾病的早期诊断越来越重要和具有吸引力。在这方面，我们提出了一种基于聚乳酸/石墨烯长丝（PLA-G）的3d打印电极（工作电极、参考电极和辅助电极）的低成本和简单排列方法，用于蛋氨酸电化学检测，其中所有电极都是打印的。工作电极经过化学和电化学处理，显示出高电活性区域，与未处理的电极相比，石墨烯边缘平面图暴露和更好的电子转移。灵敏度为0.176 mmol - mol(-1)，线性动态范围为5.0 mmol - L-1 ~ 3000 mmol - L-1，检出限为1.39 mmol - L-1。该装置成功地应用于加标血清样品中l -蛋氨酸的检测，显示出令人满意的回收率。这表明了在不同浓度水平的生物样品中l -蛋氨酸检测所提出的电极排列的潜力。(C) 2020 Elsevier B.V.版权所有
The variation in biomarkers levels, such as L-methionine, can be an indicator of health problems or diseases, such as metabolism, neuropsychiatric disorders, or some virus infections. Thus, the development of accurate sensors, with low-cost and rapid response has been gaining increasing importance and attractiveness for the early diagnosis of diseases. In this regard, we have proposed a method for Lmethionine electrochemical detection using a low-cost and simple arrangement of 3D-printed electrodes (working, reference, and auxiliary electrodes) based on polylactic acid/graphene filament (PLA-G), in which all electrodes were printed. The working electrode was chemically and electrochemically treated, showing a high electroactive area, with graphene edge plans exposure and better electron transfer when compared to the untreated electrode. An excellent analytical performance was obtained with a sensitivity of 0.176 mAL mu mol(-1), a linear dynamic range of 5.0 mu mol L-1- 3000 mmol L-1 and limit of detection of 1.39 mmol L-1. The proposed device was successfully applied for L-methionine detection in spiked serum samples, showing satisfactory recovery values. This indicates the potentiality of the proposed arrangement of electrodes for the L-methionine detection in biological samples at different concentration levels. (C) 2020 Elsevier B.V. All rights reserved.