Department of Chemistry and Biochemistry, The University of Texas at Austin, Austin, Texas 78712, USA.
J Am Chem Soc. 2009 Dec 2;131(47):17068-9. doi: 10.1021/ja908319m.
There has been a growing interest in the use of differential sensing for analyte classification. In an effort to mimic the mammalian senses of taste and smell, which utilize protein-based receptors, we have introduced serum albumins as nonselective receptors for recognition of small hydrophobic molecules. Herein, we employ a sensing ensemble consisting of serum albumins, a hydrophobic fluorescent indicator (PRODAN), and a hydrophobic additive (deoxycholate) to detect terpenes. With the aid of linear discriminant analysis, we successfully applied our system to differentiate five terpenes. We then extended our terpene analysis and utilized our sensing ensemble for terpene discrimination within the complex mixtures found in perfume.
人们对差分感应在分析物分类中的应用越来越感兴趣。为了模仿哺乳动物的味觉和嗅觉，我们利用基于蛋白质的受体，引入血清白蛋白作为识别小分子疏水分子的非选择性受体。在这里，我们使用由血清白蛋白、疏水性荧光指示剂（PRODAN）和疏水性添加剂（脱氧胆酸盐）组成的感应组件来检测萜类化合物。借助线性判别分析，我们成功地应用我们的系统来区分五种萜类化合物。然后，我们扩展了萜类分析，并利用我们的感应组件来区分香水中复杂混合物中的萜类化合物。
