Kuntz K W, Snapper M L, Hoveyda A H
Department of Chemistry, Merkert Chemistry Center, Boston College, Chestnut Hill, MA 02467, USA.
Curr Opin Chem Biol. 1999 Jun;3(3):313-9. doi: 10.1016/S1367-5931(99)80048-9.
There have been recent attempts to use the principles of combinatorial chemistry and high-throughput screening strategies for catalyst identification. With the technology available that allows the synthesis of large libraries, scientists of varied backgrounds have implemented screening efforts to identify active and selective catalysts. Within this context, several techniques have come to light in the past year: infrared thermography is used to identify optimal catalysts by monitoring the change in temperature for exothermic reactions; fluorescence and colored-dye assays, a familiar tool to biologists, is being applied to the identification of catalysts that exhibit the highest activity. Whereas none of these screening methods provide a general solution to the problem of screening large combinatorial libraries (there is likely to be no general solution), each advance represents an important intellectual and technological step forward.
最近有人尝试运用组合化学原理和高通量筛选策略来鉴定催化剂。借助现有的能够合成大型文库的技术，不同背景的科学家们已开展筛选工作，以识别具有活性和选择性的催化剂。在此背景下，过去一年出现了几种技术：红外热成像技术通过监测放热反应的温度变化来识别最佳催化剂；荧光和有色染料检测法，这是生物学家熟悉的工具，正被用于鉴定具有最高活性的催化剂。尽管这些筛选方法都无法为筛选大型组合文库的问题提供通用解决方案（可能不存在通用解决方案），但每一项进展都代表着重要的知识和技术进步。
