Flexible receptor architectures for anion recognition via ionic hydrogen bonding.

IF 8.1 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Anjusha Prakash, Austin R Sartori, Aco Radujević, Mikhail Zamkov, Pavel Anzenbacher
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引用次数: 0

Abstract

Phosphate anions play key roles in biology, chemistry, the environment, and are important industrial raw materials. However, their recognition, binding, and sensing in water are complicated by their structural diversity, multiple protonation states, and strong hydration. Well-pre-organized macrocyclic receptors are used to increase selectivity and affinity by reducing the entropy associated with the adaptation of the receptor to the phosphate guests. However, the synthesis and purification of macrocyclic sensors is difficult, marred by low yields. Linear (non-macrocyclic) receptors and sensors are easy to synthesize and purify, but may display lower overall affinity and selectivity. We explored the utility of simple linear sensors that contain ionic hydrogen-bonding donors, namely ammonium, isothiouronium, and guanidinium, for phosphorus oxyanions. Anion binding was investigated by NMR spectroscopy and X-ray crystallography. Quantitative binding was determined by fluorescence titrations. Titrations revealed the general order of affinity to be H2PO4 - > HAsO4 2- > H2P2O7 2- > ADP2- ≥ ATP3- ≫ AMP-, and K assoc ∼ 104-105 M-1. These sensors could also bind and sense the potentially carcinogenic herbicide glyphosate (K assoc ∼ 103 M-1). Due to their flexible linear structure, these sensors were cross-reactive and, with their distinct ionic hydrogen bonding, they also displayed partial selectivity that could be leveraged in sensor arrays amenable to high-throughput sensing. High-throughput fluorescence data were analyzed using machine learning, linear discriminant analysis (LDA), and support vector machine (SVM)-based linear regressions to obtain 100% correct classification and quantification. Regression analyses allowed the determination of unknown analyte concentrations. LODs were ∼1.0 µM for phosphate and pyrophosphate, while LODs for ATP and ADP were determined to be 1.6-4.5 µM. Overall, these simple linear sensors, despite not being able to leverage the macrocyclic effect, provide a viable alternative at a fraction of the cost and synthetic effort.

通过离子氢键进行阴离子识别的柔性受体结构。
磷酸阴离子在生物、化学、环境等领域发挥着重要作用,是重要的工业原料。然而,它们在水中的识别、结合和传感由于其结构多样性、多质子化状态和强水合作用而变得复杂。预先组织良好的大环受体通过减少与受体对磷酸盐客体的适应相关的熵来增加选择性和亲和力。然而,由于产率低,大环传感器的合成和纯化是困难的。线性(非大环)受体和传感器易于合成和纯化,但可能表现出较低的整体亲和力和选择性。我们探索了含有离子氢键供体(即铵、异硫脲和胍)的简单线性传感器对磷氧阴离子的效用。用核磁共振光谱和x射线晶体学研究了阴离子结合。荧光滴定法测定定量结合。滴定结果表明,其亲合力顺序为H2PO4 - > HAsO4 2- > H2P2O7 2- > ADP2-≥ATP3- > AMP-, K assoc ~ 104-105 M-1。这些传感器还可以结合和检测潜在的致癌除草剂草甘膦(K assoc ~ 103 M-1)。由于其灵活的线性结构,这些传感器具有交叉反应性,并且具有独特的离子氢键,它们还显示出部分选择性,可以在适合高通量传感的传感器阵列中加以利用。采用机器学习、线性判别分析(LDA)和基于支持向量机(SVM)的线性回归对高通量荧光数据进行分析,获得100%正确的分类和量化。回归分析可以测定未知的分析物浓度。磷酸和焦磷酸的lod为~ 1.0µM, ATP和ADP的lod为1.6 ~ 4.5µM。总的来说,这些简单的线性传感器,尽管不能利用大环效应,但以一小部分的成本和合成努力提供了可行的替代方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Chemical Science
Chemical Science CHEMISTRY, MULTIDISCIPLINARY-
CiteScore
14.40
自引率
4.80%
发文量
1352
审稿时长
2.1 months
期刊介绍: Chemical Science is a journal that encompasses various disciplines within the chemical sciences. Its scope includes publishing ground-breaking research with significant implications for its respective field, as well as appealing to a wider audience in related areas. To be considered for publication, articles must showcase innovative and original advances in their field of study and be presented in a manner that is understandable to scientists from diverse backgrounds. However, the journal generally does not publish highly specialized research.
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