Department of Physics, University of Texas at El Paso, El Paso, TX 79968, USA.
Department of Biomedical Engineering, University of Texas at El Paso, El Paso, TX 79968, USA.
Biosensors (Basel). 2018 Dec 26;9(1):3. doi: 10.3390/bios9010003.
With the goal of accurately detecting and quantifying the amounts of dopamine (DA) and serotonin (5-HT) in mixtures of these neurotransmitters without using any labelling, we present a detailed, comparative computational and Raman experimental study. Although discrimination between these two analytes is achievable in such mixtures for concentrations in the millimolar range, their accurate quantification remains unattainable. As shown for the first time in this work, the formation of a new composite resulting from their interactions with each other is the main reason for this lack of quantification. While this new hydrogen-bonded complex further complicates potential analyte discrimination and quantification at concentrations characteristic of physiological levels (i.e., nanomolar concentrations), it can also open new avenues for its use in drug delivery and pharmaceutical research. This remark is based not only on chemical interactions analyzed here from both theoretical and experimental approaches, but also on biological relationship, with consideration of both functional and neural proximity perspectives. Thus, this research constitutes an important contribution toward better understanding of neural processes, as well as toward possible future development of label-free biosensors.
我们旨在实现对这些神经递质混合物中的多巴胺(DA)和血清素(5-HT)进行准确检测和定量,而无需使用任何标记物,为此我们进行了详细的、比较的计算和拉曼实验研究。尽管对于浓度在毫摩尔范围内的混合物,能够实现对这两种分析物的区分,但它们的准确定量仍然难以实现。正如本工作首次表明的那样,由于它们之间的相互作用而形成的新的复合物是导致这种定量困难的主要原因。尽管这种新的氢键复合物在浓度具有生理水平特征(即纳摩尔浓度)时会进一步使潜在的分析物区分和定量复杂化,但它也可以为其在药物输送和药物研究中的应用开辟新途径。这一观点不仅基于从理论和实验两个方面分析的化学相互作用,还基于生物关系,考虑了功能和神经接近的视角。因此,这项研究为更好地理解神经过程以及未来可能开发无标记生物传感器做出了重要贡献。