Yuen Lik Hang, Franzini Raphael M, Tan Samuel S, Kool Eric T
Department of Chemistry, Stanford University , Stanford, California 94305, United States.
J Am Chem Soc. 2014 Oct 15;136(41):14576-82. doi: 10.1021/ja507932a. Epub 2014 Oct 3.
An important advantage of pattern-based chemosensor sets is their potential to detect and differentiate a large number of analytes with only few sensors. Here we test this principle at a conceptual limit by analyzing a large set of metal ion analytes covering essentially the entire periodic table, employing fluorescent DNA-like chemosensors on solid support. A tetrameric "oligodeoxyfluoroside" (ODF) library of 6561 members containing metal-binding monomers was screened for strong responders to 57 metal ions in solution. Our results show that a set of 9 chemosensors could successfully discriminate the 57 species, including alkali, alkaline earth, post-transition, transition, and lanthanide metals. As few as 6 ODF chemosensors could detect and differentiate 50 metals at 100 μM; sensitivity for some metals was achieved at midnanomolar ranges. A blind test with 50 metals further confirmed the discriminating power of the ODFs.
基于模式的化学传感器组的一个重要优势在于，它们仅用少量传感器就有潜力检测和区分大量分析物。在此，我们通过分析一大组基本涵盖整个元素周期表的金属离子分析物，在概念极限下测试这一原理，采用固定在固体支持物上的荧光DNA类化学传感器。对一个包含6561个成员、含有金属结合单体的四聚体“寡脱氧氟苷”（ODF）文库进行筛选，以找出对溶液中57种金属离子有强烈响应的成员。我们的结果表明，一组9种化学传感器能够成功区分这57种物质，包括碱金属、碱土金属、后过渡金属、过渡金属和镧系金属。低至6种ODF化学传感器就能在100 μM浓度下检测并区分50种金属；对某些金属的灵敏度在中纳摩尔范围内即可实现。对50种金属进行的盲测进一步证实了ODF的区分能力。
