亮氨酸和精氨酸的对映体分析:肺癌代谢组学中的一个关键因素

I. Comnea‐Stancu, Raluca‐Ioana Stefan‐van Staden, J. V. van Staden
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引用次数: 0

摘要

代谢组学已成为确定可用于癌症早期诊断的新生物标记物的关键因素。我们设计了一种氧化锌-α-环糊精纳米碳纳米复合材料三维随机微传感器(α-CD/ZnO/nanoC),并将其集成到一个智能三维随机对映选择平台中,用于全血样本中精氨酸和亮氨酸的对映分析。扫描电子显微镜对 α-CD/ZnO/nanoC 浆料进行了形态学表征,循环伏安法和电化学阻抗光谱法对其进行了电化学表征。在 110-11-110-8mol L-1 的工作浓度范围内测定 L-亮氨酸,检测限为 310-12mol L-1;在 110-16-110-11mol L-1 的工作浓度范围内测定 D-亮氨酸,检测限为 310-17mol L-1;L- 精氨酸的工作浓度范围为 110-12-110-9mol L-1,检出限为 310-13mol L-1;D-精氨酸的工作浓度范围为 110-14-110-11mol L-1,检出限为 310-15mol L-1。该平台用于精氨酸和亮氨酸的对映体分析时,具有很高的灵敏度、选择性和对映体选择性。精氨酸/亮氨酸对映体分析的回收率高,相对标准偏差低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enantioanalysis of Leucine and Arginine: A Key Factor in Lung Cancer Metabolomics
Metabolomics has become a key factor for identifying new biomarkers able to be used for early diagnosis of cancer. A zinc oxide-α-cyclodextrin nanocarbon nanocomposite 3D stochastic microsensor (α-CD/ZnO/nanoC) was designed and integrated into an intelligent 3D stochastic enantioselective platform for the enantioanalysis of arginine and leucine in whole blood samples. The α-CD/ZnO/nanoC pastes were morphologicaly characterized by scanning electron microscopy, and electrochemically characterized by cyclic voltammetry and electrochemical impedance spectroscopy. L-Leucine was determined on a working concentration range between 110-11-110-8mol L-1 with a limit of detection of 310-12mol L-1; D-leucine was determined on a working concentration range between 110-16-110-11mol L-1 with a limit of detection of 310-17mol L-1; L-arginine was determined on a working concentration range between 110-12-110-9mol L-1 with a limit of detection of 310-13mol L-1; D-arginine was determined on a working concentration range between 110-14-110-11mol L-1 with a limit of detection of 310-15mol L-1. High sensitivities, selectivities, and enantioselectivities were recorded when the platform was used for the enantioanalysis of arginine and leucine. High recoveries were recorded at the enantioanalysis of arginine/leucine, with low relative standard deviations.
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