The University of Sydney, School of Chemistry, NSW 2006, Australia.
Org Biomol Chem. 2021 Feb 11;19(5):1017-1021. doi: 10.1039/d0ob02397c.
We describe here a supramolecular sensing system for the array-based classification of biologically relevant mono-, di-, and tri-phosphates in aqueous buffer. The system is based on a colorimetric indicator displacement assay (IDA) with six sensor elements. Each sensor element is comprised of an equimolar cyclic peptide-colorimetric indicator ensemble. Correct classification of the eleven analytes into mono-, di-, tri-, or pyrophosphate was achieved through both principal component analysis (PCA) and linear discriminant analysis (LDA).
我们在这里描述了一个基于超分子的传感系统,用于在水缓冲液中基于阵列的对生物相关的单、二和三磷酸盐进行分类。该系统基于比色指示剂置换分析(IDA),有六个传感器元件。每个传感器元件由等摩尔的环状肽-比色指示剂配合物组成。通过主成分分析(PCA)和线性判别分析(LDA),可以将 11 种分析物正确分类为单、二、三或焦磷酸盐。