Titanium dioxide nanotube based sensing platform for detection of mycobacterium tuberculosis volatile biomarkers methyl nicotinate and p-anisate

Younghwan Kim, Jason Young, David C. Robinson, Greg Jones, M. Misra, S. Mohanty
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引用次数: 1

Abstract

This research presents a metal functionalized titanium dioxide (TiO2) nanotube based sensor developed for detection of volatile biomarkers (methyl p-anisate and methyl nicotinate) associated with tuberculosis (TB). In this work self-aligning TiO2 nanotubes were fabricated, and functionalized with cobalt for specific binding to the volatile biomarkers of interest. Mimics of the volatile biomarkers were dissolved in water at variable concentrations, and nitrogen gas was flowed through the biomarker solutions and delivered to the sensor. A potentiostatic scan was used to measure current across the device under constant potentials ranging from -1.0 volts to 1-volts methyl nicotinate and methyl p-anisate. The sensor response showed a 3 × 105 change in current for methyl nicotinate, and 7.61 × 106 change in current for methyl p-anisate when compared to baseline. The sensor also showed little response to five other VOCs (acetone, ethanol, methanol, benzene, and phenol) which suggest the sensor is functionalized to be specific for the target VOCs associated with TB. Results showed detection of the volatile biomarkers yield orders of magnitude change in current which is detected easily. The sensor is simple to operate, responds in minutes, and has potential applications in non-invasive diagnosis of TB and other diseases that have distinct volatile biomarkers.
基于二氧化钛纳米管的结核分枝杆菌挥发性生物标志物烟酸甲酯和茴香酯检测平台
本研究提出了一种基于金属功能化二氧化钛(TiO2)纳米管的传感器,用于检测与结核病(TB)相关的挥发性生物标志物(对茴香酸甲酯和烟酸甲酯)。在这项工作中,制备了自对准的TiO2纳米管,并与钴功能化,以特异性结合感兴趣的挥发性生物标志物。挥发性生物标记物的模拟物以不同浓度溶解在水中,氮气流经生物标记物溶液并输送到传感器。恒电位扫描用于测量在-1.0伏至1伏烟酸甲酯和对茴香酸甲酯的恒定电位下通过器件的电流。与基线相比,传感器响应显示烟酸甲酯电流变化3 × 105,对茴香甲酯电流变化7.61 × 106。该传感器对其他五种挥发性有机化合物(丙酮、乙醇、甲醇、苯和苯酚)也没有反应,这表明该传感器可以对与结核病相关的目标挥发性有机化合物进行特异性功能化。结果表明,挥发性生物标志物的检测产生数量级的电流变化,易于检测。该传感器操作简单,在几分钟内做出反应,在结核病和其他具有独特挥发性生物标志物的疾病的非侵入性诊断中具有潜在的应用前景。
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