Lee Ji-Young, Mohammadi Mohammad, Wang Yunshan
Department of Chemical Engineering, University of Utah Salt Lake City 84112 USA
RSC Adv. 2023 Nov 7;13(46):32582-32588. doi: 10.1039/d3ra05405e. eCollection 2023 Oct 31.
Detecting neurotransmitters with high sensitivity and selectivity is important to understand their roles in biological functions. Current detection methods for neurotransmitters suffer from poor sensitivity or selectivity. In this article, we propose ultraviolet (UV) plasmonic engineered native fluorescence as a new sensing mechanism to detect neurotransmitters with high sensitivity and selectivity. We measured the native fluorescence of three monoamine neurotransmitters, dopamine (DA), norepinephrine (NE), and 3,4-dihydroxyphenylacetic acid (DOPAC). The average net enhancement and total photon yield enhancement on an aluminum hole array with 300 nm hole spacing substrate were found to be 50× and 60×, for the three molecules. We also observed a 1.5-1.7× reduction in the dominant photon bleaching rate on an aluminum hole array compared to an aluminum-thin film substrate. The photobleaching rates of the native fluorescence of DA, NE and DOPAC were found to be highly sensitive to their molecular structures and can be further engineered by UV plasmonic substrates. The differences in the photobleaching rates for DA and NE were 2× and 1.6× larger on an aluminum thin film and an aluminum hole array than on a silicon substrate. As a proof-of-concept experiment, we mixed DA with NE at different concentration ratios and measured the average photobleaching rates of the mixture. We found that the average photobleaching rate is proportional to the concentration of NE in the mixture. Our findings demonstrate the potential of UV plasmonic engineered native fluorescence to achieve sensitive and selective detection of neurotransmitters.
高灵敏度和高选择性地检测神经递质对于理解它们在生物功能中的作用至关重要。当前用于神经递质的检测方法存在灵敏度或选择性较差的问题。在本文中,我们提出了紫外(UV)等离子体工程化的天然荧光作为一种新的传感机制,以高灵敏度和高选择性地检测神经递质。我们测量了三种单胺神经递质多巴胺(DA)、去甲肾上腺素(NE)和3,4-二羟基苯乙酸(DOPAC)的天然荧光。对于这三种分子,发现在孔间距为300 nm的铝孔阵列基板上的平均净增强和总光子产率增强分别为50倍和60倍。我们还观察到,与铝薄膜基板相比,铝孔阵列上的主要光子漂白速率降低了1.5 - 1.7倍。发现DA、NE和DOPAC的天然荧光的光漂白速率对它们的分子结构高度敏感,并且可以通过紫外等离子体基板进一步调控。在铝薄膜和铝孔阵列上,DA和NE的光漂白速率差异比在硅基板上分别大2倍和1.6倍。作为概念验证实验,我们将DA与NE以不同浓度比混合,并测量了混合物的平均光漂白速率。我们发现平均光漂白速率与混合物中NE的浓度成正比。我们的研究结果证明了紫外等离子体工程化的天然荧光在实现神经递质灵敏且选择性检测方面的潜力。